La musaranya comuna, Crocidura russula (Hermann, 1780), com a bioindicador en estudis ecotoxicologics
Alejandro Sánchez Chardi
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R 7* 0R @ TXXT -% $ ++ @4%+ - :! @0 7 * K M+ -$ $ $8 < R \ PXW 7 *,* 0-**)+)0-:0 )++);)0 7)*. /*,* 0 TXXL 2\ \% 2 $* $$ @3 TXXY 7 \ R & ' } M - ! @ 35 VLY 5 3 PTW%PVV + TZUZW%UYc $ $2+ *-> +TXXL$ % =@ *+bK = < ( ! > = TXXY $ ! \ + YLTPXZ%TPPU &7 - 8' 5 7 -+ $ $8 + -$ TXXP 3 + TZPUc%PZL $ - & @4%+ - 7 * TXXL '! \ > 5 ( PPV ( 0 3 WL%cV \% \ + YWLXV%LPP (5Kb7PcYL@ 4 @4%+ - 8 4%9 $* 7 * * TXXL > 8! +$ LXPZW% \% PYc \ 5! &75 @ '< % % ( = ( $8 =! = : 9 5 ( PUZ L% TXXY 3 PU \ &9 8' @4%+ - $ ++ 7 * - & 8 ' $ $8TXXL!$! ! &@ ( ' \% \ 5 (PVcZYP%ZLZ ! ! + YLPTP%PVX ( 3 = ( 8 (- K %+ -$ @ $+ $ $8 TXXP @ b = 5 PccY 3 R 8! ! $9 @- & R - ' 5 5 5 + = UYX%YV 3VXTTX%TTY O ( 8 = + 4 8 PcWc @\ *$ b -h >R *- TXXZ 0 \ $ 4 ! ! ! @ R 7 % &( ' 5 (ZcTYL% \ &3 %- N TWY 0 < @ ' + > ( > PUP TYL% = h @\ 4 $@ $9 +- TLV $> 3- >@ =5+!!:( PXc ,D* U\ 4 = SR 4\ R $ @\R%h K %+ -$ 8 (- ( $3 h>h*\ R0PccW- @ $+ = ( 7 -+ !R $ + $ $8 TXXV 2 5 4 5 @ UPPVX%PVY - & ' ! + ( U\ 4%h\\ R = > R - h @ 35 VPPPXP% - TXXY : 4 PXc !R & bR +2 PccW > R + YZcYV%cLU 5 2 ( PXY-YPV%YTX 3 @@ b >3 PccP@ b \ R3h \ R-> 5TXXV- =\ 5 + % R 3PPcUL%PUZ % !R & & ' 3 h+b@ *K h 5 5 @ ZU > = K >R K = PcU%PcW TXXU0\ 5 (PVTVWZ%VcU 3 @ $ \ * 9 + 8! 0 K h R 5 TXXL + \ ! ! 3TTcPUZ%PZY 3 R%- $ $ = 3 @TXXV- > 00< ! ! 5 5 @ ZU PWW%PcV 3%@ @ h! @ $> h PccU + ! \% &+ ' 4 \ > 5 + 3ZTYYL%YLT PPX UZ/-7-0 / ,,) 8)* ++ , )* )// 1 )/ 8)) /. *+ 1, *2* )- - ) )8)**2/ ,,) )/ 12 * * - . *+ )"K". ) 7: 26 .%< >-&K ! 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R &cXa' \ \ ! &$PcWcN@ PccPN@ !PccU'3 ! \ \\ ! 5! \ \ &h RTXXXN(RR R PccVPccUN= $ PccVN@ = PccYN3 bPccP' - \R\ ! 3 \! ! ! ! &: %- R PZY )* ++ , )* %* ./* 0 8,'9#8 &$$/@$/@5$ $ =' ! &(' &+' K \ = <P:4 PcLLNT@ = PccYNV3 R%- $PcccNU=% RTXXXNZ+ 2 PcWPNY2 * PcWTNL- \ PcWUNW- \ PcWcNc2 PcWcNPX$PcWcNPPh RTXXX ".+) ") (8 2 + 3 %- ( Uc YLP/ZVX@ P ( YL Pcc/TPX@ ( VT PTT/WV@ 3 %- ( P UVL T + U PTV&YTL%PYU' ( V WcY/TZ@ XcZ/X@ V - ( V VLTU/PLPY@5$ U ( TX PcVX Z + Y UPX ( L VXX/XYZ@5$ Y ( W VVX/XTW@5$ + W VYZ/XPY@5$ ( PL PWc/XPc@5$ L + PV PXX/XPX@5$ ( TV YPX/ZVXY@5$ W + PW ZZV/PPWc@5$ ( PY PWV/XTV@5$ c ( TX TWU/XZP@5$ ( TZ UTZ/XWY@5$ + TP TXU/XTT@5$ ( PT ZZX&PVU%PUYc' PX + PX ZVL&TXX%PXT' ( L UTU/VVV@ XXVT/XXPL@ PP ( Z TUW/PZY@ XXVW/XXPW@ ( c TTX/PPP@ XXVc/XXPc@ PZL 8 TXXUN : PccLN @4R TXXU' $ \ ! !&@ PccV'0 ! &8 4%- TXXV'3! ! 5! ! 0 \ &8 TXXYN8 TXXYN $ TXXPN @ PccV' / 2 \ \ ! TZM \ \ 3 \ 5! @ 2 ! ! & 3 bPccP ' & 8 PcWX' ! 9 !\ ! !\ 5! < ! \ 2 3 ! ! R \ ! & 9 TXXXN E PccU' 0 \ ! \ ! \ \ \ !&8 4%- TXXVN3 bPccV' - ! 4 5! &8 TXXYN = PcccN @ PccX' \ \ & $ TXXP'3 \ \ \ + \ ! $ R 0 ! \ \ ! &3! ULV' 7 ! R &@4RTXXU' ! 3 \ R WT% VV% \ &- \ PcWUN 2 * PcWT' 3 ! &h RTXXXN$ 3TXXPN 3 b PccP' \ PZW )* ++ , )* %* ./* 0 + ! \ ULUT ** / \ \ 5! ! \ $ &PccY' (!!PX)J TZ)JR ! \- (! P ULUV @ \ ! J \ &$PcWcPccYN7 TXXP'> \ ! ! ! ! - \ 5! ! ! 3 \ ! ! \ \ 5! \ \ \ PZc 8 ! &$PccLN$ PccL'- &$ PcWcN$TXXVN7 TXXP' ! > \ \ ! ! ! ! ! 3 ! & 7 TXXP !' ! ! \ ! ! ! ULUU3 &- 4 0 - ! ! \ &3!ULV'3 ! \ 5! ! ! &$PccLTXXVN@ TXXX' ! &@ PccXPccU'3 J &3 bPccP'- ! \ ! 0 % R > \ @ 5! ! % / ! \ & 8 TXXYN 8 TXXYN $ TXXP' ! \ \ R ! 9 $ ! \ \ 0 \ TZ \ @ PYX )* ++ , )* %* ./* 0 \ 7\ ! \ \ J + 5! ! 7 (! 2 \ '9&*+,)* b \ % &(! 2' 5! 3 ! \ ! !! ! 0 ! \ @ \ ! \ ! \ - \ 5! 3 \% \ ! (! 2 $ 0 ! ! 9 ! & ! ' ! R !! '962 + - \ @$ * $@ +R *- PcWU ! + P< 5 (ZW ! \ LV%WZ 5 ( &@ -' VV PZV% PYT + h$ 2 =$ PcWP 8 - \ @$ * $@ +R *- PcWc \ @ ! 35 PLPUZ%PZU PYP 8 + @ PccX 3 4 \ + 2 - d + >R 8 \ 5 (PX PLZ%PWT 5 =PcWL$ 4 \ ! < \?@9 h R :*h TXXX 3 b @ > = &S ?@9b@WZJPPX8 $ + (! + ' ! & 8' ! 9 *( = $ K TXXX + UPPZcV%PYXT ! %\ 8 @ = $ 4 5 7 - $ 5 (PXW 4 @ > *$ > TXXY( UUL%UZT ! 5! :4 88 K 8 ( $ PcLL 8 ! &75 @ ' 5 ( PUXULP%UWT \ 5 ( PV PZP% PZL 8 = ? = $ %@R = 3 % ! - = * = ( + : =- PccL 3 TXXY 3 ! -=\ 7 PL ! R \ VL%ZX 5! = 5 (PVcVVX%VVc : %- R * - * @\R% h h @ > TXXU 9 8\ 8-( =* b=9 *= $ h- TXXP 8 !R \ ! ( 5 (PVPLP%Lc - 5 + 3UPTXW%TPU 2 >- * $@ PcWT 9 8 ? > 7 ! : b (/ /R PcWX8 VWPXW%PPL 4 ! 2 >- * $@ 3 * PcWc \ R @ 3 5 5 PYPXc%PPY 0K3 ! 8 4%9 $* : !4 * @ %+ K * - 5 TY PcWZ ! 9 4 Wc%cc 2 4 & 2 PLWX' 5! % &h @ ' *R! 5$ $ @ ?4 :b PccY S @ R ZXP%Y 5 < ! /R LLYP%YL 8 4 - $ > *8 $ $ + + 2 4 * @ =9 TXXV * * 9 $+ PcLY $ PYT )* ++ , )* %* ./* 0 $ 7b $ = 3 $ $ -- TXXV 8 @ @ 3 5 ! ! VXTcV%PXX @ 5 ( PTY PXL% PPU 8 +:: h9> +@> !* 08 : $ > * TXXT = $ - +R *- * $@ TXXV &+ ' ! - 4 ?@ \ 5 R @ = - & ! 5 + - 5 + 3UVVZY%VYV 3UUUXZ%UPP $ b+ PcWc 5 \ $ $@ ++ @* 8=4 ! CPccL0 % ! J! \ - 5 - R 5! + 3PWYPL%YTT @ - 5 + 3VVLP%LZ $b+PccY8 <> b7 24 :2 = %7 \ -b &5 ' $4 -==h(: 25@ 5 \ < 9 5TXXT5 +=+8\ (! >= TWP%TcY 4 4 R ! R 5 $ $b+3@TXXP0 + U - LcPLL%PcP < @ =9 = >- &5 ' 5 \ 5 7 (=@TXXT0 d 5 3 * ! b @ 83 7\ E R PTV% % R PZW @ 35 TcWPYV%PWP $ @$=: =TXXP- \ 7 */ PcWW - 5! ! } \ 5 $ 5 (ZXPVc%PYP - LPPWL%TXZ 7 -+ $ $8 + -$ TXXP $=: =TXXV2 $ \ ! @ - - & 5 + ' ! 3UUVcW%UXU \ 5 ( PPVWL%cV $ = $ 4%K - : = PccL 8 5! @ < 7 -+ - *+ $ $8 TXXP! ! \ \ 5 - & (cYVVZ%VUP ' \ M PYV 8 + ( - ' ! + 5 + 0 @\ $ - 3UPZPZ%ZTP 5 + 3VcPPc%TV (RR R 5 2 2 *R $ h 0 PccV - @ -$PccP5 9 5 ! (WXc%PY \ ! 5 (LPVTcMVLZ (RR R5h 02 23 *PccU@ \ @ $ > * > $- + $ 7 *8 + ! * PccU $ 2 @ (!PWPVL%PUc 3 ( @ = $: 8! = 9 = Pccc R &2 PLWX' < @ 3 $%* -* - : > \4 5 PZYTYc%TLV bh R>= (*2 @ 4! 9 @!! $ 3 *>$ @ $ > $- *8 K RKS*&5 '3- + ! * PccX 8 5 $ ( 7 2 8 YW%Yc 3 \ @ > 5 + = 89 4$-:44$*2 % 3UULWU%LWc 4 8$ Pccc 2 \ \ @ $ *8 8! *$ 5! @ > 5 + !*PccV5 + 3YVVXZ%VPP 2 ! 2 \ = 2*$ $2PccV3 5! @ 35 &@ ( \ - &5 ' \ P'PPL%PTZ 8 8 @ =9 PccZ ( + TLTPcL%TTPP ! % =R -* =R @- $ ! 5 5 ( WW + - TXXX 3 &(!' VVV%VUX \ \ & - ' - 5 @ =9 ! (53 PccU ( + 3VcVcTMVcL = b= PcWc -4 ! =\ 5 + 5UVTTV%TTZ 3PVUUcMWc @ + $ $ =4 C * 8 TXXX @ b = 5 PccY 3 R K ! - R &8 PYU )* ++ , )* %* ./* 0 R - E $b!+@2h 3 5 + E EPccU$R 3VXTTX%TTY R R @4R 7 E $ b! h - h!\ - 2 - TXXU > 3YWPLU%PLW ! < ! ! * > $ 4 $! TTUVcMUUY 3 @@ b >3 PccP@ =\ 5 + 3PPcUL%PUZ 3 @@ b >3 PccV 9 5 T TUV M TZY 3 R%- $ $ = Pccc > ! > + ! S 5 5 $ = P &@ 'YcMLU K 0 K - PcLc 5 K 4 - ! ! b 4 &$<0 < ' > S > VXL%PV b $9@\ 4!@@=-PccW 5 \ < - \ 5 3 + PLPUY%PYX b +PcWY$ ! 5 $ - YPTL%PUU PYZ UW5>=500 )* ++ , )**2 , ,,*)) // 1 2 * 1*. *+ %) +* ,) % , ,,*) ++ , )*)/ 1A"* )+* * ./ - % ,) B2 * 1*. *+%) +* ,) 7: 26 .%<.= 826? >-&K ! '9 > ? > - YUZXWXTW> @ !@ $ 9 + 5 + + ? - > XWPcV> @ @4%+ -8 4%9 $*TXXc$ \ &@ $' \ $ 5 (PZL&U'PTUV%PTUW )* ++ , )* 8 + - ! \ ! J ! 2 \ 4 ! ! ! ! \% \ ! \ $ < 5! \ ! $ 0 7 9 $ $ @ > > 5! \ + + \ $ R \ ( \ !\ \ > @ + 3 ! ! ! R ! ! PLP 8 '3 *+)* 7% &(!' &2' &+ ' 4&S' &+' \ ! 3! ! \%R\ & : PccLN $ TXXPN 7 PcWWN @4%+ TXXL' 0 R &9' &$' ! &$' &@ ' ! &>' ! &>' ! - &9 4%3 TXXVN 2 TXXZN7 PcWWNb TXXP' J \ &h RTXXXN 8 TXXTN(RR RPccVPccUN@4%+ 7 TXXLN@4%+ TXXL!' $ !R J !! 3 S +&$4 TXXT' 4 S+ 9$+ $ >&2TXXZ/ TXXZ' S +9$> >&2TXXZN$ TXXP'- ! S + 9 $ + > & 8%+ TXXZN / @ PccV': \ ! !! \ \ \ ! % ! 3 R ! &/ =! TXXZN@4%+ TXXL' \ !\ !R &= 4 $ TXXY' 9 5! ! ! 4 \ &8 TXXYN 8 TXXYN$ TXXPN/ %TXXWN@ PccV'2\ 5! \ ! !! ! &: -! PccXN8 TXXYN $ TXXPN7 $TXXTN/ %TXXW'3$ 0 PLT )* ++ , )* ! ! \ !R &( PccZN @4%+ TXXL' @ \ ! ! &! '! \ ! &h RTXXXN(RR RPccVPccUN@4%+ TXXL!N 3 b PccP' 8R\ ! ! & 5(- PccWN 7 TXXU' 0 ! 4 ! & @4%+ TXXL' 2\ \ b! \ < ' N' % % ! N ' \ N ' ! R $ '3 % ) , %/* b ! PXZ \% \ - \ PcLYPcWP5! &nLV' $ 0 &nVT'\ % @ @ \ &P%* < \ NT%- < \ NV%@ < \ ' \ &K K PcLc' &8 4%9 PcWZ' > \ ! & + ' R % ! 4 - > &? > ' 0 ! ! &8 4%9 PcWZN8 4%9 K PccTN8 4%9 PcWZPcWY' 9 \ 3 ! &0 >R -4 '@ \ P PLV 8 PZLL' !7> @ \ + 9 \ ! ( R%5 /(30$-%VTXX=8 0 + ( / @ &0+(%/5@'\ &S+$+ $ @ > 7 +' &>' \ ! ( R%5 58-7%YXXX 0 + ( $ @ &0+(%$@'3 \ / &$/@5$' J &)J' \! ! !@4%+ &TXXL!' 7 ! \ ! h M@ 8?% 0 %\ &$-7/K-'\ ! b J \ ! 4 % \ ! @ R % !%\ &-7/K-'b-7/K-\ %\ \ !@ R 0 4 !\ ! \ 3 \ \ ! - K \ ! \% ( R \ !\ \ 9 % \ !> &=PcWc' !+ &PccZ' 9 @(@@PUX&TXXZ'\ '3#, 7R ! \ 0+(%$@ & )JR 7< XTXN +< XXZ' \ 3 \ ! &)JR 9< PXNS<XZXN+<XPXN$<XPXN+ <XZXN$<XXZN@ <XPXN><XXZN><XXZ' 8,'3& ' & 4&' &$' &@5$' &$' &$'' &)J \' &P< NT< NV< ' PLU )* ++ , )* 8 *, % , % "% %) % % "% %) % H TL TPVXc PVYV PPPTP VZWUU c TXVZT VZT PcPcZ TPLWZ PT TTLLV PYVc PTYLW VUZYP PT TTWPZ UZU TXTXX TZTPP # VU TVWXc WYW WPPT VYXVP PP TVTcU YLW PWLcc TYZcY * , TTLPU LXV TTTWL VYc TL UYL XZX TVP PZLV c ZYW XYV VLX cYZ PT VZP XTc TPT ZPL PT ZXc XUT TYV WPU # VU ULW XUW PXT PVcV PP YPP XUP UVV WVc * , UZV XTc ZYP XTW $ TL TZWcV PWZZ PUZWZ ZXPcY c PZUXV PPYc PPTPP TXcZT PT TTXUP PVLW PZVUV VTUVU PT PZWVZ WVT PTTUZ TXYLL # VU TPPWY PWVU PPLZZ YXTXX PP PLYZL UWX PZTTV PccWW * , TVXYL PPVY PYVVc UcL % TL LUZ XYc PcU PYXP c UXY XTX TWV ULc PT PXWP PVT ZTU PWWT PT UWc XTZ VLW YLL # VU LXT XZL VYZ PZUL PP UYY XTY VYU YVZ * , LWX XUZ UZW XPZ TL TTW XPY PXY ZUL c PWU XPT PUU TYL PT PWP XPL PPW VXT PT TXL XPL PVP VYP # VU PLW XPL XLZ ZcL PP PcP XPP PVY TLT * , PcL XPP PcZ XXW %* TL XPW XXT XXW XZL c XPP XXP XXc XPU PT XPV XXP XXW XTU PT XPP XXP XXc XPY # VU XTX XXY XXL TPY PP XPT XXP XXc XPZ * , XPW XTZ XPP XXT " TL TZXYZ PYYP PTYYc ULUWW c YWUP PWP ZcUY LUcV PT TTWLc PLVT PXXVT VTPVX PT LVTL TZW YPWc cPXV # VU TUYcV TXWX ZZWL YWXZW PP LWTW TWT ZWVW cPZL * , TUZVT PPLV LVYV PZW TL PLYU TXY cUW ZVPL c WcY PXW ZPU PUUP PT PVLX XcW WYZ PWTc PT PXXZ XYL LPZ PZUW # VU PWPc PWL TLV YULL PP PTYV PVV cTc TUTY * , PLTZ PPL PXYV XYU TL PUVcc YUc LZZW TXcTT c TWUU WZU LLV WYcL PT PVYXZ LZc PXTVU PLUYW PT PPcV PWP ZWL TTUW # VU PYcXP PWVW VcUT UUZPP PP TYcT VcT LUY ZTZU * , PZUVU cXZ TPLV VXZ PLZ 8 $-7/K- \ ! &?nPXVUWL nXXXP'&?nTZTWnXXXP' &?nTUVUnXXXT'@ \ ! \ ! \3!UWP @ % \ ! S $ 0 &?nWTTY oXXXP' \ !\ ! &nXXXc' &nXXXV'$ \\ 5! \ 5 !\ & oXXXP' S & % ' + &3!UWP':! \ \ \ + ( \ S % ! $ R ! 3\ \ P\ \ YPUYa K ! \ \ > @ &(+0' + &(+00N3!UWT'( 8, '3 + ! (+-\K ! \ * .* ( ( XWZU %XXTY $ XZZZ XYPT XZLc XVZP " XWcW XPWX %XVWT XLVZ % XZZT XUUY %* XVUZ XYUc %XTYZ %XYVc $) '3> \ PLY )* ++ , )* \ \ 8, '3# @ ( &' % &' !\ (+0 \ \ ! !$ R \ &9 UWP' @ ( R HQ XTYV XXTZ Q XTYY XXTV % HQ$ XZTX oXXXP $Q% XYXX oXXXP \ 5! HQ% XUXc oXXXP $Q%* XVTT XXXZ HQ%* XTUY XXVY $Q" XUcT oXXXP \ 3! UWV 0 HQ" XUTU oXXXP $Q XVXT XXXc ! !\ + HQ XTPP XXLV %Q" XVVV XXXU 9 &L Y Q$ XVTc XXXU %Q XTVZ XXUZ ' \ + \ Q% XVVT XXXU %*Q XXcY oXXXP Q%* XUXZ oXXXP %*Q XUVc oXXXP Q" XUUc oXXXP " Q XLTP oXXXP '3')+)* Q XVWT XXXP UWUP3 % .&. 8 S \ ! @ &- \ PcWcN h R TXXXN 3 R%- $ Pccc' @ ! !\ ! &: PccL' + ! $ 0 \ \ \ \ ! &2 * PcWTN 2 PcWcN 3 R%- $ Pccc' 0 \ + \ \ ! ! &8 TXXYN$ PccLN@ PccL'- 5! +! !&: -! PccX'\ !\ % 0 ! &: PccLN 2 PcWcN* PcLWN8 4- TXXU'! ! (! 2&>PcWcN8 TXXYN(RR RPccU' 5! &@4%+ TXXL' PLL 8 0 ! ! !R & &@\R%h PccXNR%( \ @\R% h TXXU' 3 \ 5! ! ! ! &@4%+ TXXL!' ! & 8 4- TXXUN( TXXYNb \ RTXXV'3 R ! % &8 TXXTN( TXXY'\ $ \ \ !R & \ 7 - &> PcLWN : % - R TXXUN : 4 PccY' 3 &> PcLW'- \ ! 5! \ $ R ! J !\ & 8 TXXTN@4%+ TXXW' ( 5! ! &/ % TXXW' \ ! &@ PccV PccUPccZ'- &( TXXYN3 bPccP'\ \ + ! R &= 4 $ TXXY' + + \ \ \ !! 5! !\ % &( TXXY' 3 ! 5! ! \ R% $ !4 !4 &9 4%3 N 9 R TXXU' - ! R\ ! &(RR RPccV' %! ! +\ !\ ! ! &>%( TXXYN8 4%- TXXU' @ ! \ ! % ! PLW )* ++ , )* ! &5(-PccWN$TXXUN 7 TXXUN ( TXXU' b @ $ 0 5! \ \ ! ! &- TXXXN+ PcWYN@ Pccc' @ &7 TXXU' 7 &$/@5$<5! <TTUXP/VXTJN$ 0 <TTcYZ/PcWJ' ! \ &@4%+ TXXL'\ ! \ 5! 3 @ ! ! 5! > &\ R' \ 5 &9 4%3 TXXV' @ ! + R > ! &5(-PccWN7 TXXU'\> \ ! >+/V\ ++/V- > %! ! ! &5(-PccWN$TXXU' > &$ TXXU' &+ PccL' 8\ \ \ ! ! ! &+ PccL' ! !R 3> ! \ 5! ! &8%+ TXXZN(\PccL'$ \ \ 5! &8 TXXY' ! !! & 8% + TXXZ'> \ 4 ! \ &+ PccL'+ ! ! >R ! \ ! \ 5! 2\ \ \ ! ! &7/-58' & 5 PccX' - ! \ S ! \ - \ &+ PcWYN(RR RPccVPccUN= $ PccVN3 TXXU'2\ !! &@4%+ TXXL!N@4%+ 7 TXXL' !!! ! PLc 8 4 &\ ! ' J \ &* PcLWN(RR R PccVPccUN 3 bPccP' - \ \ &(RR R PccU' 0 ! &@4%+ TXXL!'- \ \ $$ 9 & \'- ! \ &8 TXXTN(RR RPccVN@4%+ TXXL!' ! ! 7 ! J !\ & : PccLN8 TXXTN(RR RPccV'! ! ! UWUT3 / % *- 4 ? !! \ ! 9 \ !! ! !\ ! 5 \ \ \%R\ &2 * PcWTNb TXXP' &* PcLWN- TXXXN3 * TXXP'- \ R! &@ = PccY' 3 \ ! R \ &h RTXXXN(RR RPccVPccUN3 bPccP' 0 ! & ! R ' ! 0 R \ $ ! 7 \ b \ ! PWX )* ++ , )* ! ( \ ! 3 \ \ 4 ! 3 ! ! & @4%+ TXXL '@ ! \ R ! R\ \! \ $ \(+- ! R \ ! - ! &@4%+ TXXL' ! 4 ! % \ 3 \ VX ! / \ 5! @ \ \ ! 5! = / & \ ' 5! 3 ! ! 5! \ \ ! R ! '3&*+,)* 3 ! \ - \ ! ! ! $ ! 8R \% \ ! !! ! ! ! $ ! ! R\ ! ! \ PWP 8 R $ '362 + - \ @$ * $@ +R *- PcWc + 7=+\9K83( 7h ! PcWY$&+79+S(!' =% ! TTY \ T< S - R 5 (ZcTUP%TZT / + < \ - *8h$@\Rh hR R $+R$TXXX3 5 (&@ -'UP !R& TcZ%VPU & ' R ( 5 % R%( \ $ @\R%h h TXXU (PPXUUP%UUc 2 R !R > - K $* >R (23 @ >9PcLW? && ' \ R 4 ( 5 = 5 (PYYZ% cYLT%LW LP 5 = PccX > 4 \ > $ ( R $ h h PcWc ! < \?@9 0 \ b @ > = R R ?@9b@WZJPTX8 $ > 3 5 = TP PWc% PcV 5(-PccW3 \ ! ?@ 5 ( >%( 0 + 4 *$ 8 4%- $ -b + $ $ + + 2 4 * > *8TXXY0 9 R - TXXU - \ O P \ @\ &7 5 0 8' ! VTcXP%cXY ! ! > 3 5 = PXT + += PccZ ( PUV%PZc -> UcZTU%ZTL 9 4%3 *8 : = 4 ** + $ K 9 TXXV @ + =5hbbh$-$+2 \ : > b =7 b = 5\ $= <8! PccL 3 ! ! &75 @ ' 5 : 9 - 2TZUZV%ULU 3VZ-TXZ%TPZ PWT )* ++ , )* : 4 $- PccY 5 8 @ = $ 4 5 7 - 7 - 4 @ > *$ > TXXY ( ? > ( ! 3 5! ! &75 @ ' 5 ( : =- PccL 3 PUXULP%UWT -=\ 7 PL VL%ZX 8 = ? = $ %@R = 3 % ! - = * = ( + : */-! *PccX+ 4 TXXY 3 ! 5! ! R \ &\ $ '! 5! = 5 R $ : (PVcVVX%VVc cZTXL%TTU : %- R * - * @\R% 8 4- $( $9$ $ h h @ > TXXU 9 + +2 4*> *8TXXU 0 !\ &- + 2 !R (!' &+++ + 9 $ $ 7 @ S' ( 5 (PVPLP%Lc 7b @ > PLVWc%VcL 2 S8 E C5 @ (* TXXZ 3 8 4%9 $* PcWZ ( * 3 5 2 PLWX $ >PcPTZ%PUX &0 $' 5! &+ @ ' 2 >- * $@ PcWT 9 @ R $VTTP%TZ /R 8 4%9 $* K * PccT = VWPXW%PPL \ 4 &2 PLWX' 2 >- * $@ 3 * PcWc &0 @ ' 5! 5 &@ '-3 VLVLP%VWX 0K 3 ! 8 4%9 $* : !4 * @ %+ K * - 5 PcWZ ! 9 4 TYWc%cc 2 4 & 2 PLWX' 5! % &h @ ' * $@=! =2$0 R $* S @ R ZXP%Y PcLW ! 4 8 4%9 $* : !4 * 9 = @ % /R VXPZV%PZc + K PcWY 3 \% h R :*h TXXX 3 \ &2 &S PLWX' &0 $' + (! + ' ! 5! &+@ '$ZX & 8' ! ZUP%ZZT + UPPZcV%PYXT PWV 8 8 (- K %+ -$ 7 -+ 7 @( TXXU 3 ! ( 3$ +@ $+$ >VZZWV%ZWW $8 TXXT 0 7 */ PcWW - 4 } &7 - ' 5 (ZXPVc%PYP > 3 5 = WZ TTL% TVc / % b @ * 9 %2 7 @ $ *8 TXXW 8%+ +- ( %: 9 5 =4 8$ = 4%K44 = (% % \ 5! = K 2$TXXZ+ &@ '< - ! ! \ \@ % * + LT< \ \ $ - LPZ%LTP 5 5 PXWZL%LP / =! +- K E @4% $ : TXXU 5 + - = 2 TXXZ > ! \ 3 \ R : (-2 5 &7& ( 3TXZPZL%PLT & ' + 7 = 9 -3LUZV%Yc $ @$=: =TXXP- \ / 7 K 8 @ - + - TXXZ 5! ! 9 < $ \ 5 $ - : - LPPWL%TXZ TXPULV%PUWW $ $@ ++ @* 8=4C / ($ @ -$ PccV PccL 0 % ! > =\ 5 - R 5! + 3PVXVP%LL @ - 5 + 3VVLP%LZ ( =C> -! *PccZ -22% (+> $4 -==h(: 25@ T 9 5 TXXT 5 \ + VP VVcL%VUPP 4 4 R ! R 5 $ (RR R 5 2 2 *R $ - LcPLL%PcP h 0 PccV - 9 5 7 -$*TXXT@ ! (WXc%PY - & @ '< (RR R 5 h 0 2 2 - 3 * PccU @ \ : PLcYP%cLV + $ 7 2 @ (!PWPVL% PUc PWU )* ++ , )* ( = ( $8 =! = : 9 @4%+ - $ ++ 7 * TXXY 3 $ $8TXXL!$! \ &9 8' \% \ - & 8 ' ! ! ! &@ ( ' + YLPTP%PVX 5 (PVcZYP%ZLZ @4%+ - $ ++ :! @0 (\ =8 h =- + :3 > := + %@ 9 +! -@ 8 4%9 PccL5 R \ $* 7 * $ $8 TXXW ! 5 3 2 4 + PYTUXc%TUPU ! R \ ( $ TXXU 5 ! 5 (PZYPVVT% PVVc +b <-J>J @ 4 @ +$ $+ @=4C* ! 3@5 } 8 PccL 3 $ YVTPP%TTZ \% 8 . $ 0 @ > = 2*$ $2PccV3 5 + 3ZcLZL%LYT \ - &5 ' \ @\R%h h U\ 4 = SR 4\ R 8 8 $ PccX >R + TLTPcL%TTPP ! - \ ( = b= PcWc -4 ! 5 (YLVPZ% 5UVTTV%TTZ VTU = 4 $ *- 8 4%- $ : % @ $ *8 8! *$ + ! *$ TXXY 2 + ! * PccV + 5! ! &@ ' 4 ! ! - \ 3 ( @ > 5 + 5 (PUUPXXP%PXPT 3ZXZPU%ZTP @4%+ - 7 * TXXL > @ $ *8 8! *$ ( 03 + ! * PccU + \% \ 4 + YWLXV%LPP + @ > 5 + @4%+ - 8 4%9 $* 7 * 3ZVZU%YX TXXL > \% @ $ *8 8! *$ \ 5! + !*PccZK &75 @ '< % % \ ! 5 (PUZL%PU 5! = @ * PWZ 8 5 @ 2 &( -' VX b 2h $@ $ -* 2 ! =* PVYP%PVLT TXXP 3 !\ @ + @ $ -R @ 24 @ * 4 $ - b -R $ Pccc + &@ @/U' @b 5 5 \ * @>VLVVV%VVY ! * 3 $ !3 PLVZL%VYZ b \ R3h \ R-> 5TXXV- % R @(@@ TXXZ @(@@ b \ PUX % !R @(@@0+0 & & ' 5 5 @ ZU @ b = 5 PccY 3 R PcU%PcW R - 5 + 3VXTTX%TTY 3 @@ b >3 PccP@ =\ 5 + 3PPcUL%PUZ 3 h+b@ *K h > = K >R K = TXXU0\ 5 (PVTTWZ%VcU 3 h+* $8TXXP> \ 5 3 + TXTYPL%TYTY 3 R%- $ $ = Pccc > ! > + ! S 5 5 $ = P &@ 'Yc%LU K 0 K - PcLc 5 K 4 - ! ! b 4 &$<0 < '> 4 > VX L%PV PWY Z0@+?@@0:575=-8 )+) , &""" 8 4 R R ! % <' ! ! 0! : N' R ! - ! R R5 N'! !% [5! 4 +% 3! Y W4 &( ( 7 ' &( 7 = >' - 4 ! ! &O PcWcN$ TXXPN 3 TXXW' ! ! ! &: %> TXPTN: %@TXPT N8 TXXTN7 TXXPN3 TXXY'7! R 4 ! &>% K TXXUN3 TXXY'! ! R ^ ! &3db PccP'5 !^ ^ % ! : &> +75 5 ' - &- @5 ( ' &2 - @/ 5 ' R5! &3 + 75 5 ' @R ! R & R ' R & 4 '8 R ! ! 5 ^ & ' & ' % 4 ! & > PcLWN R%( \ d @\R%h TXXVTXXUN R2 TXXYN 9 TXPXTXPPN:44TXXWNh RTXXXN$PcWcN$d3TXXPN( TXXYN @\R%h PccXN 3 d b PccPN 3 R%- TXXVN' 5 4 &$9+ S$$++ 9S' ! PWc )+) , &(!+ 237>>@ ' ! ! % ! ! ! [ 5 4 &(!+ 237' !% % ! ! ! &@ d ! PccUN @ PccZN 3 d b PccP' - 4 [ 4 R R &39 2 % ' ! ! &9 PccW' R8 [ 4 &$PcWcN@ PccZN3 d* TXXP' % [ &TXPXN( PccUN( TXPVN= TXPXN@ d= PccYN3dbPccP'? & @ PccZN@ d !PccUN3dbPccP' % & @* TXPVN$PccYN@ d!PccU'5 + 4 : - ! TXXa ZXXa 4 ! ! 2 ! 0! &h db TXXY'5 ! 4 [! : ! VXXa &VXVJ- PXTWJ' ZXXa &UYZJ- TZZcJ'$ ! ! (! ! &h d b TXXY' [! ! ! TXXa &PcVJ- VUXJ' VXXa &ZVLJ- PYVYJ' R ! R 4 ( ! Q- (!! ! LXXa&XLLJ- ZTYJ' (! ! 5 2 [- [-4 ! TXXa ! UXXa R &(RR RPccVPccU' % R R &@ PccPN O PccTN3 %@4TXXYN3 TXXW'- 2 PcX )+) , R R ! &:@2' R ! 3 ! 4 [5! !! 2 5! R &+ TXPXN$ PccLN$ TXXP</TXPTTXPVN@ PccXPccVPccU':% ! ! ! ! R [ R ! % ! R R !! R ! ! - R 4 @ 37- >>@ R5! 3 R 4 R 4 [ &\ RPccWN2 TXXT' R ! !! 37 >>@ + ! !% ! ! % !&: PccLN2 PcWcN * PcLWN8 4%- TXXUN$d3TXXPN3dbPccP' $ R R 4 &3 %@4 TXXY' ! !&: PccLN$d3 TXXP'7 PX%ZXa 4 $++9+ $$ R 4 - ! [ ! !4 &8 TXXTN3 %@4 TXXY' &: PccLN8 4%- TXXVTXXU'J ! &8 TXXT' 4 ^ PcP )+) , R 8 ! ! ! 4 % % ! ! R8[ ! ^ % ! ! [ &9 TXPXTXPPN0TXXc'$ R ! ! % R !R R 3 R ! ! R [ [ % ! ! [ ! &5 PcWZPcWYPcWLN$PccYN@ d!PccUNb PcWY'3 % ^ (!2+ (!2 ! 4 R 4 R R ! + & ! 7/-58 PZ3J PXZ3J N@ d!PccU'(!& ! Z%PXJ PZJ R N$PcWcPccY'2& ! RPPJ& ' !!N5 PcWL'- R 3 >@ R5! ! R 8 R % ! R !% % ! &(RR R PccVNb \ RTXXV' 5 ! ! ! ! 5 R !4% ! ! % % % % PcT )+) , ^ &* R TXXT' ( !4 R! (!9$S+$$ 6 ( % % % R - R 2+ + - ! 4 R! ! ! &9 TXPX TXPPN:44TXXWN$PcWc'5 ! (! % : @ ! [ 6 4 - [ ! R ! &9\ PcWXN$ TXPXN@% PccP' 8R ! ! R ^ [ &h RTXXXN8 TXXTN8 4%- TXXUN(RR RPccVPccUNK TXXL'5 ! !! R ! &9 TXPXTXPPN:44TXXWNh RTXXX'[ [ PX &+ (!237 + S 9 $ + ' R 4 + ![ ! % Y 4 - % ! &>%K TXXUNh RTXXXN(RR RPccVN@ d= PcWT' !! R + % ! + % % &9 TXPX'3(!2 ! % ! (! % 2 R 4 ! &R%( \ d @\R%h PcV )+) , TXXUN(RR RPccVPccUN@ d= PccY'- ! 37 4 ! 8% R 9+$!R !! ! !% J! &: PccLN8 TXXT'( ! + ! 4 !R R! ! &5 PcWY' 3![ [ ^ &h R TXXXN (RR R PccVN @d= PcWT'R&K TXXL'- ! [ &(!27' &$$+9' [ ![ [ 5 % (!2 [5! ! !4 &5 PcWLNE PccUTXXT'- ! % 4 ! [ % R !&5 PcWLN8% 4%- TXXVN3dbPccP'8 R 73 5 $$ 9+ ! ! J ! R R R &8 TXXT' - R [ ! ! ! [ ! ! ( ! ^ &5 PcWZPcWYPcWLN0 TXXcNh RTXXVN( TXXV' ! ! ! 4 5 ! ! R % 8 ! & PcU )+) , [ ' 4 - &: - % ' &- ' &: ' R &=0' - ! 4 R R ! R &$PcWcN$d3TXXPN@ d!PccU'- ! % ! &$PcWcN$d3TXXPN( TXXY' ! ! R ! 8R ! ! % & $RTXPX'* ! ! R !% ! + R 4 % ! ! ! 5 % ^ ! . 4 : R- 5 ^ ! . 4 : R- &34 TXXPN 9 TXXV' &3 R% -TXXV' ! ! R (!+ + 7 R ! ^ &5 PcWZPcWYN: %> TXPTN: %@ TXPT N:44%9 4TXPV'$ !% ! % PcZ )+) , R R ! ! ! 5 4 R- ! R !% ! % !% [ [ &7 TXXPN= TXXYN=TXXYN@ d= PccYNS% :44TXXX'5 ! 4 4 % [ :@3 - ! J % ! ! ! [ ! 8R % !! [ % 4 : - - R 4 % !! ^ & ' 4 % 3 R [ 8 V4 4 : ! ! ! ! ^8[ ! [ ! : ! [ R - - ! R ! ^ ! &>R TXXZN+! d= 4PcccN8TXXYN@d8TXXU' ? 4 [ R ! 4 ! 5 [ [ 4 % !! !+ 4 [ % ! % PcY )+) , ! - [ % [ R &TXPXN( TXPVN= TXPX' 3 ! W4 Y 8R ! 4 ! ! ! ? ! R R ! ^ 4 [ 8 % !! ! ! &>% K TXXUN + ! TXPXN 5 TXXPN : %@ TXPT N: %> TXPTN:44%9 4TXPVN0TXXcN8 TXPXN( TXXYN3 R%-TXXV'8R ! R ! ! ! ! R 4 % ! 5 % ! % ! R R & %@ PccTN :44TXXWN9 4TXPTN9 TXPXTXPPN= PccVN(RR R PccVN@ PccZN3dbPccPNbTXXL' &R/ d@ PccYN9 d( PcWUN2 R PccZ' R &9 PcWXN$ PccL' &+ PcWY'- ! ! R ! % &0 PccWN$>d>RPcWWN$>PcWLN (RR RPccUN( TXXYN3%@PccU' R ! ! ! &9 TXPXTXPPN:44TXXWN*TXPTN$d 3TXXPN7 TXXPN@ d!PccUN3 R%-TXXVNb% TXXL'5 R ! % ! ! R5 - 7 ^ ! & $ d 3 TXXPN 3 d b PccP'5 ! 4 PcL )+) , R5 R ! % &:44 TXXWN9 4TXPTN9 TXPXTXPPNbTXXL'- % R ! ! ! R ! R = ! % ! 4 9% ! ! R ! ! ^ ! [ ! ! R ! PcW Y+/7+8?@0/7@ *+,)* 8 < P8 ^ R % !! R (!2+ ! R ! T8 ! R % R R !R V5 ! ! ! R R U8 !! % !R ! % % ! R ! ! ! TXP *+,)* 3 \ < P3 \ \% \ !! % % (!2 + \ \ R T3 \! R \ % \ % ! V 3 \ ! \ ! ! ! R 3 \ !\ U3 \% \! !! % % ! ! ! R !% ! TXT *+, - < P - ! !! (! 2 + T - ! R ! V / ! ! ! % U/ ! !! ! ! 4 ! ! ! TXV L>0>80/:=-90- )8,)* 2) >R -- $ -- / ! / TXXZ - + R 3 $ = h ! TXXZ & & d ! - ' &= $'< $= ZWTTWMVU ! > - K $* >R (23 @ >* SPVZPVZ%PVL >9PcLW? && ' + @+Eh +TXPX$% 5 (PYYZ% LP 3% - ( TUZVLW% > $ -! $8 @4%* + ! * VcV *8 TXXT 0 < +\R 5 b \ R 3 h \ R - > 5 TXXZ $ - 5 + !R & & ' >% 3UTcV%cW PWTWV%TcP > $ ( R $ h h PcWc + 7 0!4 + ( - ( 7 TXPX 0 \ ( ! \ R R % ! < 5 > 3 5 = TP PWc% ! % PcV ! @% 3 5 UXW TLcZM >%K =4%8 * $4 - TWXY > * 8 4 9 :4%- 4 *8 8 4%> *TXXU5 ! + 7=+\9K83( 7h -4 -% PcWY$&+79+S(!' =% & ' !% TTY \ ! R 3PcLPTV%PVW - R / > 35 / h/h TXXV - + < \ + - R 4 R 5 (&@ -'UP 5 0 TWZcL% TcZ%VPU YXW R2 2@ *$!KhK = +! :8 = 4 $: Pccc > =+bTXXY7% : ! $ = 5 &1 '< UTYTXL%TPX 00 2 - + KK $-TXXT@ % 5 (PUTUVW%UUW <- \ 5 $ - % @ * 9=$ @ (9 : 5$ LWUZ%YP h = ( 4%+ : > (= TXL )8,)* 2) K K$9$%> TXPV3 PccW @ \ % ! 5 5 : 2VZ 5 @ UPT%L VPL%VVP %@ $5 * $@ 3 * R%( \ $ @\R%h h TXXV PccT 3 ! R \ \ 00 3 ! ! R 5 \%R 5 @ TUPPW%PVX \ R 4 ( 3PWYP%PX *= > *$ 2 = b (- TXPX - R%( \ $ @\R%h h TXXU \ 2 \ @ R !R 35 UTUPPX%PTX \ R 4 5 =PcWL$ 4 \ ( 5 = ! < \?@9 cYLT%LW b @ > = ?@9b@WZJPPX8 $ :5PcWc % + 0 5 = PcWZ + 4 7( R+ 7- *cWXM \ ! < Wc \ ?@ 9 b @ > = ?@9b@ WZJPT 8 8 9 K / $ ! ** $ @ hTXPX? 5 = PcWY + 4 ! < 0 \ ! < ! R \ ?@ 9 b @ 5 5 > = ?@9b@ WZJPY 8 @ LVTUX%TUY $5 = PcWL $ 4 \ ! < R/ : @ =9 PccY > \ ?@ 9 b @ ! % > = ?@9b@ WZJPPX 8 \ 7 $ - - 5 +% 3VPcP%cL 5 7: %/ 2-R%> 7TXXP 3 0< + 9K *= E 3 PccT 0 ! < + 3 $ \ R > + PZTcMZVc 0 TLPMTL 9=>> $(+ $:+! % \ R h h4R\4 - h4R\4 $ + $ :( 7 - : @ TXW )8,)* 2) > + $ 44 K (44 9 PcWX : ( + 7 K - TVLW% !4% % < 3 @ =TXPX= \ < 2 @ 0 - % 5 + 5 (PZWWTL%WUX 3cZYc%ZLL : %> 3 :4%- 4 *8 :44% 9 -$ b \ 9 : *7 9 4 $ $ 9 : %@ > ! b $ *@ PccW $- :4%* K TXPT > + \ \ ! ! % ! + - >+ [- = > 0 - UXVTTVL%TTZV 5 + - 3VUPPc%PTL : %@ $- :44%9 4 $ * %> = : %> 3 8 4% 9 4 *- -! *= :44 C0 > * ( + :4%- 4 *8 TXPT + ! - TXPT 3 > % ! ! + + + 7 ( R 2 7 (! ! % 7 @ %! ! ! 9 5 >TP @5+%0+(%$@- > + UXUPcYL%PcWP 9 9+ $0 8-$ @+4% 4 = TXXV 3 + : %@$-* %> =:44% 7- 9 4 $ : %> 3 :4% 7 ( R 5 - 4 * $ = cPZU%YP > 9 * ( 3* PcWU @ : $ TXXL 9 \ R VY+%3 ! \ 5 5 = PXUU%TP (VVVTLMVUX :44 C0 -! *= 9 4 *- + !% 9\ >-h+-b *@$+ -TXXW5 55 : 8 PcWX + \% ! 3 - ! + LP ( ZYZcMLL TXYX%TXYL 9 ++L $: (=9 :44%9 4 $ : %@ 9= K - @ $-* %> =7 % = = TXPP @ 9: %> 38 4%> *( !< 0 :4%- 4 *8 TXPV ? ( / Y TXYWT J ! + - + 9 + + =( +L $ = 9 cTTc%TUV TXc )8,)* 2) : !4 * PcWL 0 5: =+ 8PccY: +< $ R ! @ $ 0+27:PV 5 ( cT VTV% 5 h @-> VTW : =- PccL 3 * @2@ R @7- \$3 -=\ 7 PL 2+ TXXL 0 VL%ZX ! 2 3 @ 8-$ > -3+ \ > *2* h *2 @ 9* 0 - 5 $ R-*TXXT8R + 3ZTPUZ%PZP ! R * R 2 : :* + ! -0 2 \ - 5 *-( 8 **TXXT$% + 3UVVUZ%VZZ 3 @% YZPYY%PLY 2 $ b / $ R > TXXT 3 % * $ 2 S h %S K / 5 PP TXPT @ R ! VYc%VLL \ - &$ PWUT' b 3 < > 2 R -* $ b%+ > ** = % R 5$ : = PccZ $ ( * 5YXYPP%YPc \ * $@=! =2$0 R $* \ =% - PcLW ! 4 5 + 3% TcPPZ%PTL /R VXPZV%PZc 2 R 55d@ *PcWZ+\ h *= =PcWP5 % 4 ! } J01`QJIVJ :C \ 5 :J:$VIVJ cUWLMUcT $ZZZ%YW 2 >- * $@ 3 * PcWc h 4R h@ @ * 9b @R\ h 5 TXXV 7R $ 0K3 = ZVVYL%cL ! * - 5TYWc% hR+3 *TXXc- ! cc } + \ 0098> -TXXc3 \ @> > UPTZP%TZZ * 3 5 2( >PTTXY%TTV h R :*h TXXX 3 &S 0 8-+ $$ 4+ + (! + ' ! & 8' ! TPX )8,)* 2) + UPPZcV%PYXT + +2 4*> *8TXXU 0 !\ &- + 2 h ?b *TXXY8% (!' &+++ + -4 % 9 $ $ 7 @ S' ! 7b @ > : &@b @ ' PLVWc%VcL @ 3 5 VYL WZZ% WLP $ b+ PcWc 5 \ ! h b PcWU = J! \ - 5 5 $- U + 3PWYPL%YTT PZMVV $b+PccY8 0<> b7 8 $ > %E 80 PccY + 24 :2 = %7 \\ -b &5 ' 4 5 \ < + 0 +=+ ! - 8\ (! >= TWP%TcY 5 + 3VXUWP%UWY $b+3@TXXP0 + U<@ =9= >-&5 ' 8 : @ 7 : TXXY / 5 b $ 5 R d 5 3 * ! + YZ b @ 83 7\ E R PTV% PXZWMPXYV PZW 8b+ 9>+$ $: $ @$=: =TXXP- \ (TXPX> 7- ! ! ! 5! ! 5 3 \ 5 $ ( TcZW%YV - LPPWL%TXZ 8 (- K %+ -$ 7 -+ $ $ @ 8 $ $ TXPX ( 3$ +@ $+$ > (:5 % $8 TXXT 0 7 - + 4 WXPTUL%PTZU &7 - ' > 3 5 = WZ TTL% $ 0> 2 2 bR 5 PccV TVc 7 = @ $ + R 5 2<@b 8 4%- $ > *8 $ $ * h : 9 & ' 5 + + 2 4 * @ =9 TXXV 0 $ $ 7b 5 @%8( &9 ' PPL% @ @ 35 VXT PVX cV%PXX $ +9b +TXXP+ 0<@2% 8 4%- $( $9$ $ =9 = > &5 ' 5 TPP )8,)* 2) b $ b+ ?h + >UVZZMVYU VPZMVLX 7 */ PcWW - $ = $ 4%K - : = PccL } 8 5! @ < 5 (ZXPVc%PYP \ \ 5 7 -+ $ $8 + -$ TXXP (cYVVZ%VUP $ - & $=> *4*+@ *$-:% ' ! = PccW 2 \ 5 ( \ \ \ @ PPVWL%cV - 5 + 3VZVUT%VUL /R+3**R 85> R =(PccW- ! ! $> h >R *b PcWW ( % $ %- 5 $ 7- \ - ZPPUZMPZY !\\ > 5 + 3UXVUVMVUc /K> +=$+TXPV2% & & & ' $> h >R *b > \ hb 5! + h+PcWL+ ! @ 5 $ - % &+ PWZYLWVMYLcT & ' \ <0@ R - /K=+9 $8 4 - $ 5 + > 9 43 $=- 3PYYWP%YWW > +TXPT- % $ --@ =99 $+/ ! 5! 75 @ } PccL \ @ 35 UVLTXc% &7 - ' \ TPW &(K+' 5 (cLTPV%TTX (RR R 5 2 2 *R $ h 0 PccV - $ *= b ( 3 * Pccc 9 5 9 ! (WXc%PY \ 5 $ (RR R 5 h 0 2 2 $VVTPc%TTZ 3 * 3R h$ PccU 5 $R @K E- h 0- \ \ TXPX = % + TcPYVc%PYUc ! = * (R PccT - > R 5UPZPV%ZPW (0 5@ P + d 2 5 @ 7 =9 PccX 0 + d25 TcP 8 ?h ! < - TPT )8,)* 2) ( -9= -= 2:% K R * S &5 ' 3 - > TXPV - 5 $ ( 7 2 R ! 8 YWMYc ( T< % R + (! = 2*$ $2PccV3 R 5 $ - \ - &5 ' \ PWZTccc%VXPT 8 8 ( = ( $8 =! = : 9 + TLTPcL%TTPP TXXY 3 \ &9 8' = h @\ 4 $@ $9 +- - & 8 ' $> 3- >@ =5+!!:( ! &@ ( ' 2 $* $$ @3 TXXY 7 5 (PVcZYP%ZLZ R & ' ! (+ @= 29! 5 3 @ @ h > 7R + E * + TZUZW%UYc > * /R2 * 2! - b + TXXL 5 < =@ *+bK = ( \ > = TXXY $ ! 25VZYZV%YYW \ &7 - 8' ( 388 =8O * +b$> 5 h Pccc 0 & ' 3 + TZPUc%PZL R ! \ = 2 b + ( - ( + + VWPXUc%PXYL $44$9TXPX+ (! S ! ! % ( 3 : h9 *R * =- TXXV ! ! % >! \ 4 %! 7 ? @ - 5 +% \ - 5 3ZWcUZ%cZU + 3UUVX%VZ @L R - b \ R 3 $R @ O ( 8 = + 4 8 PcWc 4R\4%3 44R > h4\ R ( 0 \ TXPT +! ! !4&' ! @ &( ' 5 ( Zc TYL% R >R K > 3 TWY 5= PULPWcMPcU = $: 8! = 9 = PcWL @L R - b \ R 3 /L R 5 TXPV &2 PLWX' < -* ! % $%* : - b > \4 R \ > h R (*2 = 9 ! %! !R @ 4! $@!!*>$3 K & - 5 TPV )8,)* 2) + 3YZVTU%VVP \ ! 5 (LPVTcMVLZ @4%+ - 7 * TXXL > @ $ > $- *8 ( 03 + ! * PccX 8 \% \ + YWLXV%LPP 3 \ @ > 5 + @4%+ - 8 4%9 $* 7 * 3UULWU%LWc TXXL> \% \ @ $ *8 8! *$ 5! &75 + !*PccV5 @ '< % % 2 ! 2 5 (PUZL%PU \ 5! @4%+ - $ ++ 7 * @ 35 &@ ( $ $8 TXXL! $ ! P'PPL%PTZ \% \ !! @ $ > * > $- + YLPTP%PVX *8 + ! * PccU $ @4%+ - $ ++ :! @0 3 ( @ + %@9+! -@8 4%9 $* R 7 * $ $8 TXXW 2 @ 3 4 5 PZYTYc%TLV ! R \ @ =9 PccZ ( 5 (PZYPVVT%PVVc ! % @4%+ -=! +-/7 *TXXc 5 ( WW $ R VVV%VUX \ ! @ =9 ! (53 PccU ( \ + LYVWL%VcU =\ 5 + @4%+ -( %$+> 3PVUUcMWc $ 7 * TXXc! > @ :* = /* PcWT @ ( 000 @ 5 = PXccYX%cYL 5 (&@ -'TWPTP%PVU @78:hTXXU: @ *% @ b = 5 PccY 3 R $= ZYXPZc%PYZ R - @ -$PccP5 5 + ! TPU )8,)* 2) 3VXTTX%TTY 3 h+* $8TXXP> U\ 4%h\\ R = > R - h \ 5 3 -TXXY: 4% + TXTYPL%TYTY !R & 3 %@4 - 2 %4 $- 7 ** + YZ cYV% > $- @ %b @- TXXY cLU $ \ ( R * 5 3 @@ b >3 PccP@ $LWTWYMTcV =\ 5 + 3 %@4 5 + 83 $ 4 + 3PPcUL%PUZ = 5K $/ 4%2 4$8 $ %: ( TXPT + 34+ 9+ $$ @ \ \ 8 - + : 0 8- ! TXXP : % 5 @ ( - & ' + = PcPYLL%PYWY 5 (PPZUV%UW 3%@ @ h! @ $> h PccU + 3 h+b@ *K h ! > = K >R K = \% &+ ' TXXU0\ 4 \ > 5 + 5 (PVTTWZ%VcU 3ZTYYL%YLT 3 7 9 + - 5 + $ 3 *7 > \ (- $R $: TXXW 8! *+: (@ =TXPV 9% - +> + @0 ! ! = ? 5 $%0 @ : @b @ b @$ }( /WYYVcc % \ @ 3 3 R%- $ $ = 3 5 VcUPUU%PYP @ TXXV > K $: $+ >3 ! %00 $9R%9 -hR=$ : ! ! 5 + %@ TXXL 0 5 = cTPZT%PYX R 5 3 * ( * 5 + > $ TXXY = PXULX%WU + /:% % &+ < K > R 7b : 7$ * * + ' 7 > -3+TXXV5 % - &= < $ ' ! ! ! 3 7 % : &@ ' \&7 - 6 5 (PUVU%W '5 (PTTPTL%PVU TPZ )8,)* 2) bR >22+@@+ +h4 E $b!+@2h 3 -( TXXU = ! 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h % ! @ 8 0 ! ! 4 % ! &$-7/K-' ! % R !! ! 5 $ ! ! % % ! ! @ ! TUL , )+, R &-7/K-'( % 4 5 4 ! % ! % 4 ! +&L' 9&Y'5+ R K 8 ! 4 ! % ( - % > 3 )+) 4 5 ! @(@@PUX b \ ! % 8 , S ! 5 7+ R 8 + 4 8 $-7/K- ! ! 4 + ! R ! ! ( R (!28R 9$ S ! S R + 3 ! 5 ! ! % ! + R5! 8R 4 $ 4 + 4 R5! + 4 5% $ % + ! 8 YPUYa R >@ ! 8R ! % + 8 % ! TUW , )+, 4 ! 5 @ ! $$ R5! % 9 ! !% !! % R R ! R5 R ! R ( > % R % % ? ! ! % >+/V - > % % ! 5 > R ! !5 % ! ! % ! % ! 8 R5! - ^ % 5 > R ! ! R % - R % % ! % 5 S % 5 % - ! R R R R ^ 5 ( R !! R 4 R S % ! R 8 ! 5 % ! 5 TUc , )+, 4 % ! % 8 [ ! ! % 4 5 !! ! ! ! ! ! !4 4 ! ( R ^ ! R R! 5 % VX 4 R R5! % !% 4 % 4 *+,)* - % ^ - R ! % ! 4 8 R !!! % ! % TZX c-775CP Chemosphere 68 (2007) 703–711 www.elsevier.com/locate/chemosphere Bioaccumulation of metals and effects of landfill pollution in small mammals. Part I. The greater white-toothed shrew, Crocidura russula Alejandro Sa´nchez-Chardi a,b,*, Jacint Nadal a a Departament de Biologia Animal (Vertebrats), Facultat de Biologia, Universitat de Barcelona, Avinguda Diagonal 645, 08028-Barcelona, Spain b Servei de Microsco`pia, Facultat de Cie`ncies, Ed. C, Universitat Auto`noma de Barcelona, 08193-Bellaterra, Barcelona, Spain Received 10 October 2006; received in revised form 4 January 2007; accepted 17 January 2007 Available online 23 March 2007 Abstract Here we quantified the bioaccumulation of metals (lead, mercury, cadmium, iron, magnesium, zinc, copper, manganese, molybdenum, and chromium) and assessed several morphological (RI, relative weights) and genotoxic parameters as biomarkers of pollution from the landfill of Garraf (Barcelona, NE Spain). Specimens of Crocidura russula (Insectivora, Mammalia) from the landfill site showed increased Pb, Cd, Mg, Zn, Cu, and Cr concentrations in their tissues. Levels of mercury were below detection limits. Concentrations of Cd, Pb, and Cr varied significantly with age and no differences were found between males and females. While no differences were found in morpho- logical parameters between shrews from the two sites, those from the polluted one showed more micronuclei in blood than those from reference site (1.786 ± 0.272 vs. 0.088 ± 0.045&; U = 46.000, p < 0.001). The considerable amounts of potentially toxic metals (Pb till 59.71 and Cd till 56.57 lgg 1 DW in kidneys) and the genotoxic effects indicate the harmful effect on biota. We consider necessary bio- monitoring this landfill sited in a partially protected area. 2007 Elsevier Ltd. All rights reserved. Keywords: Crocidura russula; Landfill; Heavy metals; Micronucleus test; Protected sites 1. Introduction tamination for groundwater aquifers as well as for adjacent soil and surface waters. Leachate composition, volume and Landfills are the main form of solid waste accumula- toxicity vary depending on the nature and age of wastes, tions in several regions, including Mediterranean countries method of disposal, dump depth and climatic factors (De (Loukidou and Zouboulis, 2001). However, if these sites Rosa et al., 1996; Li et al., 2006). These effluents often con- are not adequately controlled they may have a severe envi- tain a wide variety of organic and inorganic pollutants ronmental impact. Gaseous compounds, mainly methane including metals such as Pb, Cd, Mg, Fe, Zn, Cu, Mn, and carbon dioxide, as well as volatile organic compounds Mo, and Cr (Ragle et al., 1995; Johnson et al., 1996; De (VOCs) are common pollutants of landfills (Christensen Rosa et al., 1996; Christensen et al., 2001; Slack et al., et al., 2001; Li et al., 2006; Wichmann et al, 2006). Also, 2005). These mixtures are highly toxic for biota (i.e. Che- liquid effluents named leachates are produced by the ung et al., 1993; Cabrera and Rodriguez, 1999; Sang and decomposition of wastes or by interaction between wastes Li, 2004), however, information on the effects of landfill and rain water, and are often a considerable source of con- leachates on wildlife health is scarce. Genotoxic effects such as increases in micronuclei (MN), in chromosomal aberra- tions, and in abnormal sperm morphology frequencies, * Corresponding author. Address: Departament de Biologia Animal have been reported in laboratory rodents exposed to land- (Vertebrats), Facultat de Biologia, Universitat de Barcelona, Avinguda Diagonal 645, 08028-Barcelona, Spain. Tel.: +34 934021456; fax: +34 fill leachates (Bakare et al., 2005; Li et al., 2006) and in wild 934034426. mice from a hazardous waste site (i.e. Tull-Singleton et al., E-mail address: [email protected] (A. Sa´nchez-Chardi). 1994). 0045-6535/$ - see front matter 2007 Elsevier Ltd. All rights reserved. doi:10.1016/j.chemosphere.2007.01.042 704 A. Sa´nchez-Chardi, J. Nadal / Chemosphere 68 (2007) 703–711 Morphological parameters are used as markers of phys- Table 1 iological alterations in wild populations of small mammals Detection limit, mean ± standard deviation (M ± SD), and range of metals (in mg kg 1), other compounds (in mg l 1: cyanide, nitrites, exposed to some kinds of pollution (i.e. Ma, 1996; Ma and nitrates, phenols; in mg kg 1: Hydrocarbons), and pH in leachates from Talmage, 2001; Sa´nchez-Chardi et al., 2007a,b). In addi- the Garraf landfill tion, some heavy metals have varied genotoxic effects Detection limit M ± SD Range because they may damage and induce mutations in DNA (Eisler, 1985, 1986; Seoane and Dulout, 2001; Palus Iron 0.1 6.38 ± 1.84 3.70–7.60 Magnesium 10 86.75 ± 16.34 77.00–111.00 et al., 2003). The micronucleus test (MNT) is an easy and Lead 0.5 n.d. quick method to obtain information about the clastogenic Mercury 0.01 0.05 ± 0.01 n.d.–0.02 effect of xenobiotics and other environmental pollutants on Cadmium 0.1 0.62 ± 0.10 n.d.–0.14 wild mammals (i.e. Ieradi et al., 1996; Meier et al, 1999). Zinc 0.1 1.15 ± 0.60 0.60–2.00 Like other insectivorous species (i.e. Talmage and Wal- Copper 0.1 0.88 ± 0.21 0.70–1.10 Manganese 1 n.d. n.d. ton, 1991; Komarnicki, 2000), the greater white-toothed Chromium 0.1 0.62 ± 0.10 0.51–0.80 shrew, Crocidura russula, has been used as bioindicator of Nickel 0.1 0.36 ± 0.05 0.30–0.40 the bioaccumulation of metals and the effects of pollution Cyanide 0.01 0.11 ± 0.09 n.d.–0.13 (Sa´nchez-Chardi et al., 2007a,b). To our knowledge, the Nitrates 100 n.d. study presented here is the first to assess the accumulation Nitrites 0.5 n.d. Phenols 0.2 3.47 ± 2.97 0.70–8.00 of metals and effects of landfill pollution on insectivorous Hydrocarbons 5 29.05 ± 17.35 7.20–43.00 mammals. pH 8.41 ± 0.12 8.28–8.79 The objectives of this study were: i) to quantify the con- n.d.: non detected values. centrations of heavy metals in C. russula exposed to leach- ates from a landfill; ii) to evaluate the effects of this kind of pollution on the basis of several morphological and geno- all specimens were measured. The shrews were lightly toxic parameters; iii) to identify the influence of sex and anaesthetized and killed by cervical dislocation. Liver and age as source of intrapopulation variation; and iv) to assess kidneys were immediately removed, weighted, and frozen the environmental consequences of landfill pollution par- at 20 C prior to chemical analyses. Relative age and ticularly in protected areas. sex were determined for all individuals as described in Sa´n- chez-Chardi et al. (2007a,b). 2. Material and methods 2.2. Morphological parameters 2.1. Study sites The residual index (RI) was calculated following Jakob Opened in 1974, each year the landfill of Garraf receives et al. (1996) as a regression of BL and BW. Specimens with about 850000 t of solid wastes mainly of domestic origin positive RI values are considered to be in better condition but also significant amounts of industrial wastes and sew- than predicted for their weight and lenght. Consequently, age sludge from sewage treatment plants. With a capacity negative values, down to the linear regression, are attrib- of 17 M m 3, the landfill is located on the Garraf massif, uted to animals with lower body condition than expected. a karstic area characterized by Mediterranean climate The relative hepatic and renal weight ratios were calculated and xerophytic vegetation. The chemical characterization as a percent ratio of somatic tissue (100· tissue weight/ of landfill leachates from the year 2001 was provided by body weight). All morphologic parameters were calculated the Metropolitan Environmental Authority and is shown on a wet weight (WW) basis. in Table 1. Unfortunately, to our knowledge there are no data available for the same parameters corresponding to 2.3. Chemical analyses the year of captures. The reference site has similar vegeta- tion and climate conditions to the polluted site, and is not The material used for the digestion was thoroughly acid- affected by anthropogenic activities (Fig. 1). Moreover, rinsed. The tissues were dried at 60 C till constant weight since 1986 an area of 12376 ha, including both study sites, (48 h). From 50 to 100 mg of dry sample was digested by enjoys protected status as the ‘‘Parc Natural del Garraf’’. 5 ml of nitric acid (Instra, Baker-Analized) and 2 ml of per- From February to April 1998, n = 55 greater white- chloric acid (Instra, Baker-Analized), in open tubs in a Pro- toothed shrews were collected with Sherman traps in the labo Microdigest A301 microwave placed in a clean room. polluted site (n = 21), downstream of the leachate pool Mg and Fe concentrations were determined by a Perkin– and affected by the landfill (Vall d’En Joan) and n =34 Elmer OPTIMA-3200RL Inductively Coupled Plasma from the reference site (Olesa de Bonesvalls). The total cap- Optical Spectrometer (ICP-OES), while Pb, Hg, Cd, Zn, ture effort was 1600 traps night 1 (TN). Specimens were Cu, Mn, Mo, and Cr were measured by a Perkin–Elmer transported to the laboratory and treated following legal ELAN-6000 Inductively Coupled Plasma Mass Spectro- and ethical procedures. The body weight (BW) to the near- meter (ICP-MS) as described in Sa´nchez-Chardi et al. est 0.01 g and body length (BL) to the nearest 0.01 mm of (2007a,b). For the purpose of statistical analyses, non- A. Sa´nchez-Chardi, J. Nadal / Chemosphere 68 (2007) 703–711 705 Fig. 1. Map showing the geographical location of the sites studied (m). detected values were replaced by the value equal to half the were corrected by the Bonferroni adjustment (Rice, 1989). detection limit. The metal concentrations are presented as All statistical procedures were performed with SPSS (ver- mean ± standard error (SEM) in lgg 1 on dry weight sion 11.5 for Windows, SPSS Inc.). (DW) basis. 3. Results 2.4. Genotoxicity: the micronucleus test (MNT) Captures of shrews were more abundant in the reference Peripheral blood was collected by cardiac punction into site (34 shrews in 550 TN) than in the landfill site (21 a heparinized syringe. Duplicate smears were made for shrews in 1050 TN). In both sites, a large percentage of each specimen on pre-cleaned microscope slides, they were shrews were adults (30 out of 34 in the reference site and then fixed with heat, and stained with conventional May- 14 out of 21 in the polluted site). A high number of males Gru¨nwald Giemsa. For each individual, MN frequency were captured in the reference site compared with the land- was scored on 2000 blood erythrocytes through an oil fill site (Table 2). No differences in the morphological immersion objective (·100) on a Leica Leitz DMRB parameters measured were detected between sites (Table 3). microscope. All the elements quantified in this study were detected in all samples of all specimens captured at either site, with two 2.5. Statistical analyses exceptions. Hg was not detected in any sample, and Cr was not detected in the kidneys of shrews from the reference Data were log transformed and tested for normal distri- site. MANOVA for all data showed that the importance bution (Shapiro–Wilk test) and for homogeneity of vari- of parameters in liver was: site (F = 12.812; p < 0.001) > ance (Levene test). From each tissue, the effect of sex, age (F = 3.010; p = 0.005) > sex (F = 1.365; p = 0.229). age, and site in metal concentration was obtained by three-way multivariate analysis of variance (MANOVA). Table 2 Intra- and interpopulation comparisons of metals and Number of animals captured in the reference and landfill sites by sex and divergences in RI and relative somatic ratios were evalu- age ated by Student’s tests (t), whereas differences in MN fre- Site Sex Age quencies were assessed with Mann–Whitney test (U). To Juveniles Adults Total establish the relations between metal concentrations and Reference Males 3 23 26 MN frequency, Spearman correlation coefficients (r) were Females 1 7 8 calculated in both liver and kidneys. Significant differences Landfill Males 4 9 13 were accepted at p < 0.05. For all sequential tests, p-values Females 3 5 8 706 A. Sa´nchez-Chardi, J. Nadal / Chemosphere 68 (2007) 703–711 Table 3 4. Discussion Mean ± SEM of morphological parameters in shrews from the reference and landfill sites Although landfills are common in several countries, few Reference site (n = 34) Landfill site (n = 21) ecotoxicological studies have addressed this kind of pollu- BW (g) 7.64 ± 0.18 7.29 ± 0.34 tion. Leachate has been described as a complex mixture of BL (mm) 70.68 ± 0.61 69.02 ± 1.17 organic compounds and metals (i.e. De Rosa et al., 1996; RI 0.357 ± 0.532 0.578 ± 0.888 Wichmann et al, 2006). This chemical characterization is Liver (mg g 1 WW) 0.521 ± 0.016 0.492 ± 0.029 % Liver 6.83 ± 0.16 6.72 ± 0.17 only the first step for a meaningful environmental impact Kidneys (mg g 1 WW) 0.116 ± 0.006 0.113 ± 0.005 (Pohland and Harber, 1986) and alone cannot generate suf- % Kidneys 1.54 ± 0.08 1.61 ± 0.10 ficient information on impact because the absolute metal concentration alone does not reflect the degree to which these compounds affect the environment (Cheung et al., 1993). Data on the bioaccumulation and effects of leachates Metal bioaccumulation in kidneys showed a similar pat- on wild populations are essential to assess the environmen- tern, where site (F = 7.526; p < 0.001), age (F = 3.052; tal impact of these disposal sites. p = 0.006), and their interaction (F = 2.546; p = 0.017) were the main parameters influencing bioaccumulation, 4.1. Metal bioaccumulation by site and sex (F = 0.873; p = 0.581) was the least important fac- tor in variance. Our results are consistent with those reported in liver No significant difference between males and females was and kidneys of insectivorous mammals (i.e. Talmage and found for any of the metals quantified. Adult shrews from Walton, 1991; Pankakoski et al., 1993, 1994; Komarnicki, both sites showed significantly higher Pb and Cd in liver 2000; Hamers et al., 2006). Nevertheless, concentrations of (Landfill: t = 2.121, p = 0.05 and t = 5.002, p < 0.001, essential metals were slightly higher than data obtained for respectively; Reference: Cd: t = 6.650, p < 0.001) and the same species (Sa´nchez-Chardi et al., 2007b), probably kidneys (Landfill: t = 2.245, p = 0.039 and t = 3133, because of the particular conditions (alkaline pH, calcare- p = 0.006, respectively) and lower Cr concentrations in ous soil, dry climate) of the study sites. liver (Reference: t = 3.679, p = 0.010) and kidneys (Land- When compared with reference specimens, the shrews fill: t = 2.319, p = 0.035). Moreover, levels of Fe, Mo, from the landfill site showed more Pb, Cd, Mg, Zn, Cu, and Cu tended to increase with age in shrews from the and Cr in their tissues. Our results on bioaccumulation of two sites (Fig. 2). Pb and Cd are concordant but higher than those reported Despite the age-dependent variation found in Pb, Cd by Torres et al. (2006) in the wood mouse, Apodemus syl- and Cr, in order to increase sample size the age groups were vaticus, from the same landfill site. In fact, insectivores pooled for comparisons of these elements by site. Speci- are suitable bioindicators of these non-essential elements mens from the landfill site showed significantly more Pb, because they ingest and/or bioaccumulate more Pb and Cd, Zn, Mg, Cu, and Cr in liver and Pb, Cd, and Cr in kid- Cd than sympatric species of rodents (i.e. Talmage and neys compared with reference specimens (Table 4). Walton, 1991; Dodds-Smith et al., 1992; Ma and Talmage, In both study sites, the liver was the main accumulator 2001). In the shrews from the landfill site, Hg concentra- of Fe (Landfill: t = 8.098, p < 0.001; Reference: t = tions were under detection limits (0.20 lgkg 1 in the 11.437, p < 0.001), Mn (Landfill: t = 14.851, p < 0.001; diluted solution, approximately 0.40 lgg 1 DW), which Reference: t = 15.845, p < 0.001), and Mo (Landfill: t = is in agreement with low levels in leachates of Garraf 4.680, p < 0.001; Reference: t = 7.283, p < 0.001), whereas (Table 1) and other landfills (revision in Christensen the kidneys bioaccumulated the highest concentrations of et al., 2001). Pb (Landfill: t = 7.382, p < 0.001; Reference: t = 6.482, Magnesium is an abundant cation and a main constitu- p < 0.001), and Cd (Landfill: t = 3.756, p < 0.001; Refer- ent of the colloidal mass in leachates (Gounaris et al., 1993) ence: t = 2.614, p = 0.011). Mg (t = 2.702, p = 0.009), and it can reach high concentrations in soils near landfill Zn (t = 2.803, p = 0.008), and Cu (t = 4.300, p < 0.001) sites. However, because of its low toxicity, few ecotoxico- showed significantly high levels in livers of shrews from logical studies have measured. An increase in this element the polluted site. Moreover, in this polluted area Cr was was also reported in the Algerian mouse, Mus spretus, significantly higher in kidneys compared with liver (t = and the rat, Rattus rattus, from a pyrite mine site (Pereira 2.658, p = 0.011). et al., 2006). The shrews from the landfill site showed a significant The increase in Zn and Cu concentrations in liver of increase in MN compared with those from the reference shrews from the landfill site may be related, at least par- site (1.786 ± 0.272 vs. 0.088 ± 0.045&; U = 46.000, p < tially, to protective and/or detoxification regulation. These 0.001). No difference was found by age or sex for this elements have a strong physiological regulation in mam- parameter at either site. Moreover, significant correlations mals and a high increase in concentrations in mammalian were found between MN frequencies and Pb, Cd, and Cr tissues has been reported only in cases of very high intake for hepatic and renal tissues (Table 5). or disrupted metal metabolism (e.g. Goyer, 1997; Ma and A. Sa´nchez-Chardi, J. Nadal / Chemosphere 68 (2007) 703–711 707 5000 140 30 4500 * 120 25 4000 3500 100 20 3000 80 2500 15 Cu Pb Fe 60 2000 10 1500 40 * 1000 5 20 500 0 0 0 Reference LandfilLandfilllR Referenceeference Landfill Reference Landfill Reference Landfill Reference Landfill Reference Landfill Liver Kidneys Liver Kidneys Liver Kidneys 40 7 9 ** 8 Juveniles * 35 6 Adults 7 30 5 6 25 4 5 20 ** Cr Mo Cd *** 4 3 15 3 2 10 2 *** 1 5 1 0 0 0 Reference Landfill Reference Landfill Reference Landfill Reference Landfill Reference Landfill Reference Landfill Liver Kidneys Liver Kidneys Liver Kidneys Fig. 2. Mean ± SEM values for metals (Fe, Pb, Cd, Cu, Mo, and Cr) in C. russula by tissue, site and age (in lgg 1 DW) (*p 6 0.05; **p 6 0.01; ***p 6 0.001). Table 4 Mean ± SEM values for metals in C. russula by tissue and site (in lgg 1 DW) Liver Kidneys Reference site (n = 34) Landfill site (n = 19) tp Reference site (n = 31) Landfill site (n = 19) tp Fe 3085.27 ± 230.29 3304.48 ± 502.00 – – 895.76 ± 74.02 755.00 ± 39.33 – – Mg 1392.74 ± 182.09 1608.63 ± 76.49 3.145 0.003 1490.34 ± 20.93 1455.26 ± 37.42 – – Pb 1.93 ± 0.20 3.40 ± 0.49 3.263 0.002 5.37 ± 0.69 16.36 ± 3.78 3.213 0.003 Cd 3.03 ± 0.26 10.28 ± 1.63 3.202 0.004 4.65 ± 0.48 25.59 ± 3.58 9.129 <0.001 Zn 199.80 ± 6.80 232.26 ± 11.14 2.650 0.011 209.87 ± 6.23 194.65 ± 8.79 – – Cu 52.47 ± 3.03 84.90 ± 7.84 4.511 <0.001 46.97 ± 2.73 49.47 ± 5.42 – – Mn 37.42 ± 1.37 42.61 ± 2.20 – – 16.52 ± 0.56 16.44 ± 0.69 – – Mo 5.24 ± 0.22 4.50 ± 0.38 – – 2.49 ± 0.24 2.53 ± 0.29 – – Cr 2.31 ± 0.16 3.49 ± 0.45 2.864 0.006 n.d. 5.40 ± 0.59 3.611 0.001 Table 5 Talmage, 2001). However, lower increases, as found in the Spearman coefficients (r) and p-values between metals and MN frequen- present study, have been reported in small mammals cies in liver and kidneys of C. russula exposed to heavy metals (i.e. Talmage and Walton, 1991; Liver Kidneys Pankakoski et al., 1993; Ieradi et al., 1996; Pereira et al., rprp2006). Zinc and copper interact with many chemicals and Pb 0.388 0.004 0.254 – participate in detoxification processes, as part of the Cd 0.454 0.001 0.709 <0.001 enzymes of the antioxidant systems, such as superoxide dis- Cr 0.104 – 0.317 0.025 mutase (SOD), and in metallothioneins (MT). 708 A. Sa´nchez-Chardi, J. Nadal / Chemosphere 68 (2007) 703–711 Chromium is also a common metal in leachates and taken up mainly through diet. Cu has important roles in landfill composts. This metal leaches rapidly and is often detoxifying function in Cu-containing metallothioneins, organically complexed in these effluents, thereby becoming which may be found in high concentrations in livers of more bioavailable and/or mobile through the soil (Goun- young mammals, and in protective systems against oxida- aris et al., 1993; Outridge and Scheuhammer, 1993; De tive stress as part of enzymes such as CuZnSOD. These Rosa et al., 1996; Gagnon and Saulnier, 2003). Chromium physiological functions of Cu may explain, at least in part, concentrations in shrews from landfill site are among the these increases found in juvenile shrews inhabiting metal- highest found in liver and kidneys of small mammals (Eis- polluted sites. ler, 1986; Talmage and Walton, 1991; Pankakoski et al., In the present study, we did not detect any significant 1993, 1994). This observation indicates the increased bio- differences in metal concentrations between males and availability of this metal in the polluted site. females. However, females showed more Mo than males, Manganese and iron are redox-sensitive elements that especially in the liver of shrews from the polluted site generate hydroxides after oxygenation of leachates, thereby (5.24 ± 0.79 vs. 4.07 ± 0.36 lgg-1), in concordance with becoming important carriers of trace elements (i.e. Ragle data obtained for the same species (Sa´nchez-Chardi et al., et al., 1995). No significant difference between sites found 2007b). On the whole, given the asymmetric number of in our study indicates a low bioavailability and/or a proper captures by age and sex (see Table 2) as well as the high physiological regulation of these elements in shrews. More- variation inherent in wild populations, as shown for the over, no differences in Mo concentrations between sites common shrew, Sorex araneus, and the mole, Talpa euro- may be explained by low levels of this element derived from paea (i.e. Talmage and Walton, 1991; Dodds-Smith et al., food consumption (Gagnon and Saulnier, 2003). 1992; Komarnicki, 2000), we consider that more studies are required to confirm these results. 4.2. Metal bioaccumulation by age and sex 4.3. Metal bioaccumulation by tissue A clear bioaccumulation of Cd by age was observed in shrews from the two sites, in concordance with data Similar results on tissue distribution of Fe, Mg, Cd, Zn, reported in insectivores (i.e. Pankakoski et al., 1993, Cu, Mn, and Mo were found in the same species inhabiting 1994; Sa´nchez-Chardi et al., 2007b). In particular, in the a pyrite mine site (Sa´nchez-Chardi et al., 2007b). In this renal tissue the increase in concentration was up 6-fold previous article, Cr did not reach significantly high concen- between juveniles and adults from the landfill site. This bio- trations in livers, whereas in the present study significantly accumulation is related to the formation of stable Cd-MT high concentrations were found in kidneys of shrews from complexes as a detoxification mechanism to reduce toxic the polluted site. Also, Pb distribution reached higher con- effects (i.e. Ma and Talmage, 2001). The increase of Pb with centrations in kidneys when compared with liver in the age was also reported in C. russula bones from a polluted shrews from the Garraf area. This distribution is not con- wetland (Sa´nchez-Chardi et al., 2007a), but was not dem- sistent with previous data reported for Crocidura species onstrated in soft tissues of this species inhabiting a pyrite (Topashka-Ancheva and Metcheva, 1999; Sa´nchez-Chardi mine site (Sa´nchez-Chardi et al., 2007b). In fact, adult et al., 2007b) but agrees with main results for small mam- shrews from this polluted mining site showed an increase mals (i.e. Talmage and Walton, 1991; Pankakoski et al., of Pb in liver compared with juveniles (4.81 ± 0.97 vs. 1994; Milton et al., 2003). Although tissue distribution of 5.81 ± 1.20 lgg 1, respectively), but this pattern was not metals is usually constant within specific target organs, dif- observed in the reference site. This result may be attributed ferences in bioaccumulation patterns have been reported to the differences in exposure levels and/or chemical forms for S. araneus and T. europaea (Talmage and Walton, of Pb as well as to interpopulation variation in metal bio- 1991; Dodds-Smith et al, 1992; Komarnicki 2000; Swier- accumulation. A decrease of Cr with age has also been gosz-Kowalewska et al., 2005). This phenomenon may be reported for the same species and other insectivores (Pan- related to physiological mechanisms to decrease toxicity, kakoski et al., 1993, 1994; Sa´nchez-Chardi et al., 2007b). type and time of exposure, and/or the half-life of metals This decrease was attributed to a high digestive absorption in soft tissues. rate in juveniles and, therefore, a poor intestinal absorption in adults (Eisler, 1986; Outridge and Scheuhammer, 1993). 4.4. Captures and morphological parameters Despite no statistically significant differences for Fe, Cu, and Mo, we observed a general tendency of increase con- Distribution of captures by age and sex agrees with data centrations of these metals in adults, as reported for C. rus- reported by Lo´pez-Fuster (1985) for this species. More sula (Sa´nchez-Chardi et al., 2007b). High concentrations of males were captured because at the start of the breeding Cu in the liver of juveniles of several mammalian species in period (February–March) they are more active on the polluted sites have been reported, including C. russula ground surface and wander in search of females (Church- inhabiting a pyrite mine (Sa´nchez-Chardi et al., 2007b). field, 1990). Moreover, specimens from the Garraf landfill Because of the high metabolic rates during this growth per- had a lower body condition than reference shrews (see iod, young animals may are highly exposed to xenobiotics Table 3). The lower percentage of captures of C. russula A. Sa´nchez-Chardi, J. Nadal / Chemosphere 68 (2007) 703–711 709 in the former may indicate a fall in shrew population. In chain may be expected in the calcareous area of Garraf. fact, an increase in bird and rodent populations and a In contrast, in these leachates Zn, Cu, and Cr, among other decrease in captures of shrews in zones near landfill sites metals, are often associated with organic matter and col- have been reported (Schroder and Hulse, 1979; Gabrey, loids that increase their lability and enhance their disper- 1997; Elliott et al., 2006). Although data are scarce, these sion in soils and waters (Gounaris et al., 1993; Yin et al., observations indicate that landfill sites are not suitable hab- 2002; Slack et al., 2005). The high metal concentrations itats for these mammals. This apparent decrease in insectiv- observed in shrews from the landfill site suggest that a high orous populations may be a result of the specific toxicity of exchangeability of metals from leachates produces high leachates in shrews and/or in their prey or of competition bioavailability of metals at levels that are potentially toxic with rats and other rodents, which are abundant in waste for biota (Cheung et al., 1993; Cabrera and Rodriguez, disposal sites. 1999; Li et al., 2006). Although insectivores show high tol- Our results for morphological parameters are similar to erance to metal pollution (Talmage and Walton, 1991; Ma, those reported for the same species (i.e. Bartels et al., 1979; 1996; Ma and Talmage, 2001), the Pb and Cd concentra- Sa´nchez-Chardi et al., 2007a,b) and for other small mam- tions reported in the specimens from the landfill site may mals from polluted and reference sites (Ma, 1996; Milton reach toxic levels. The mean Pb concentration in kidneys et al., 2003; Pereira et al., 2006). No differences in these of shrews from this site (16.36 ± 3.78 lgg 1 DW) was parameters were found between sites, indicating similar slightly higher than critical renal Pb level of 15 lgg 1 general health conditions in the two sites. DW (Ma, 1996) considered a chemical biomarker of toxic exposure to this metal in mammals. In our study, 7 out 4.5. Genotoxicity of 19 shrews in the Garraf landfill site showed more than 15 lgg 1 of this metal in renal tissue (maximum of Our data are consistent with available literature report- 59.71 lgg 1 DW). Among small mammals, insectivores ing background mean MN frequencies of 2.43, 0.92, 0.1, are more tolerant to Cd than rodents. Liver and kidney and 0.00–1.74& in least shrew, Cryptotis parva, hedgedog, lesions in common shrews have been associated with high Erinaceus europaeus, bat Artibeus jamaicencia, and a few Cd concentrations of 577 and 253 lgg 1 DW, respectively rodent species, respectively (Ieradi et al., 1996; Meier (revision in Ma and Talmage 2001), whereas concentra- et al., 1999; Zu´n˜iga-Gonza´lez et al., 2000). Leachates con- tions of 110–260 lgg 1 produce a nephrotoxic effect in tain a large variety of compounds, and some are mutagens mice (Pankakoski et al., 1993), and bank voles, Clethriono- that may induce genotoxic effects in biota (Cabrera and mys glareolus, show hepatic and renal alterations with Cd Rodriguez, 1999; Sang and Li, 2004). In fact, the increase concentrations of 15.1 and 17.0 lgg 1 DW, respectively in MN frequencies and other genotoxic damage in labora- (Wlostowski et al., 2003). The Cd concentrations observed tory mice exposed to landfill leachates may be induced by in shrews from the landfill site were higher than the no- free radicals produced by oxidative stress in response to observable-adverse-effects-level (NOAEL) in rodents (max- metal exposure (see Li et al., 2006). Moreover, Pb, Cr imum in liver and kidneys of 20.32 and 56.57 lgg 1 DW, and Cd have clastogenic and/or genotoxic effects (i.e. Eis- respectively) indicating a considerable environmental pol- ler, 1985, 1986; Tull-Singleton et al., 1994) and the MN fre- lution. The concentrations for the remaining elements do quencies increase after exposure to these elements (Ieradi not indicate a risk of poisoning or toxic effects on mam- et al., 1996; Seoane and Dulout, 2001; Palus et al., 2003). mals. Furthermore, cumulative effects and/or interactions In agreement with these previous data, the shrews exam- between potentially toxic metals and with other com- ined in our study showed high correlations between MN pounds cannot be disregarded. and Pb, Cr and Cd concentrations. However, wild popula- tions from polluted sites are rarely exposed to a single com- 4.7. Pollution in protected areas pound and landfill sites are no an exception. Leachates are complex mixtures containing a wide range of organic and Environmental legislation is abundant and in some cases inorganic compounds that are potentially toxic. Despite very restrictive in developed countries. In fact, areas with the high metal-MN correlations detected, the influence of partial or complete protection status are becoming increas- other potentially genotoxic compounds from leachates, ingly more common, although in some cases protection sta- such as several hydrocarbons and nitrogen-, chlorine- tus is established after a pollution event, as occurred in and phosphorous-containing compounds, on the increase Garraf. The ‘‘Parc Natural del Garraf’’ reached a partial in MN frequencies cannot be ruled out. protection status 12 years after the opening of the largest landfill site in Spain. To improve the management of this 4.6. Toxicity effects of metals bioaccumulated natural interesting area, a plan was designed to close the landfill at the end of 2006 and restore the site. Disturbances Landfill leachates form a widely variable and complex that occur outside a protected area can affect biota. How- mixture of toxic compounds. A low pH is crucial to ever, events within a protected area may alter the health increase mobility and/or bioavailability of several metals, status of animals by reducing life expectancy because spec- consequently a reduction of this transfer across the food- imens are more exposed to predators, by impairing repro- 710 A. Sa´nchez-Chardi, J. Nadal / Chemosphere 68 (2007) 703–711 duction, and/or by affecting population dynamics. More- (Servei d’Assessorament Lingu¨ı´stic, Universitat de Barce- over, when natural communities are subjected to severe dis- lona) for revising the English. turbances such as a landfill, an increase in the population density of opportunistic species may ocurr (i.e. Schroder References and Hulse, 1979; Gabrey, 1997; Elliott et al., 2006) since these sites provide abundant nutrients (solid wastes and Bakare, A.A., Mosuro, A.A., Osibanjo, O., 2005. An in vivo evaluation of leachates with nitrogen and phosphorous). However, the induction of abnormal sperm morphology in mice by landfill leachates. landfill area may also become less suitable for wildlife Mutat. Res. 582, 28–34. due to these pollution sources often lead to increased envi- Bartels, H., Bartels, R., Baumann, R., Fons, R., Jurgens, K.D., Wright, P., 1979. Blood oxygen transport and organ weights of two shrew ronmental concentrations of toxic compounds, which stress species (S. etruscus and C. russula). Am. J. Physiol. 236, 221–224. wild populations, even if acute poisoning effects are not Cabrera, G.L., Rodriguez, D.M.G., 1999. Genotoxicity of leachates from observed (Pankakoski et al, 1994). To our knowledge, the a landfill using three bioassays. Mutat. Res. 426, 207–210. literature on ecotoxicological data in wild populations Cheung, K.C., Chu, L.M., Wong, M.H., 1993. Toxic effects of landfill and terrestrial ecosystems exposed to landfill pollution is leachate on microalgae. Water Air Soil Pollut. 69, 337–349. Christensen, T.H., Kjeldsen, P., Bjerg, P.L., Jensen, D.L., Christensen, scarce. We therefore consider our data of particular rele- J.B., Baun, A., Albechtsen, H.J., Heron, G., 2001. Biochemistry of vance for the management of this protected area and for landfill leachate plumes. Appl. Geochem. 16, 659–718. the biomonitoring of this source of pollution after the clo- Churchfield, S., 1990. The Natural History of Shrews. Christopher Helm, sure of the site. A & C Black London. Leachates contain compounds, such as metals, that may De Rosa, E., Rubel, D., Tudino, M., Viale, A., Lombardo, R.J., 1996. The leachate composition of an old waste dump connected to groundwater: be long-term highly bioavailable for biota living some dis- Influence of the reclamation works. Environ. Monit. Assess. 40, 239– tance from the pollution source (i.e. Gagnon and Saulnier, 252. 2003). In fact, the landfill of Garraf pollute groundwater, a Dodds-Smith, M.E., Johnson, M.S., Thompson, D.J., 1992. Trace metal very persistent pollution. Our results show that this site accumulation by the shrew Sorex araneus. II. Tissue distribution in also has a considerable impact (bioaccumulation of metals kidney and liver. Ecotox. Environ. Safe. 24, 118–130. Eisler, R., 1985. Cadmium hazards to fish, wildlife, and invertebrates: a at toxic levels and genotoxic damage) on wild populations synoptic review. US Fish and Wildlife Service, Biological Report of insectivorous mammals. However, the extent of the area USFWS 85/1.2, Laurel, MD. affected by the dispersion of leachates and of the impact in Eisler, R., 1986. Chromium hazards to fish, wildlife, and invertebrates: a individuals, communities and ecosystems is unknown. synoptic review. US Fish and Wildlife Service, Biological Report USFWS 85/1.6, Laurel, MD. Elliott, K.H., Duffe, J., Lee, S.L., Mineau, P., Elliott, J.E., 2006. Foraging 5. Conclusions ecology of Bald Eagles at an urban landfill. Wilson J. Ornithol. 118, 380–390. 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Rev. russula, is a suitable species for biomonitoring this kind Nutr. 17, 37–50. of pollution. Hamers, T., van den Berg, J.H.J., van Gestel, C.A.M., van Schooten, F.J., These findings are relevant for the management of Murk, A.J., 2006. Risk assessment of metals and organic pollutants for wastes and for the evaluation of the hazardous effects of herbivorous and carnivorous small mammal food chains in a polluted landfill leachates on biota. Moreover, to efficiently manage floodplain (Biesbosch, The Netherlands). Environ. Pollut. 144, 581– 595. areas of ecological interest, we propose a continuous bio- Ieradi, L.A., Cristaldi, M., Mascanzoni, D., Cardarelli, E., Grossi, R., monitoring study to assess the effects of the Garraf landfill Campanella, L., 1996. Genetic damage in urban mice exposed to traffic in terrestrial ecosystems. pollution. Environ. Pollut. 92, 323–328. Jakob, E.M., Marshall, S.D., Uetz, G.W., 1996. 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Pollut. 145, 7–14. birds: Part two. Mutat. Res. 467, 99–103. ARTICLE IN PRESS Environmental Research 109 (2009) 960–967 Contents lists available at ScienceDirect Environmental Research journal homepage: www.elsevier.com/locate/envres Bioaccumulation of metals and effects of a landfill in small mammals Part III: Structural alterations$ Ã Alejandro Sanchez-Chardi a,b, , Cristina Pen˜arroja-Matutano b, Miquel Borras c, Jacint Nadal b a Servei de Microscopia, Facultat de Ciencies, Edifici C, Universitat Autonoma de Barcelona, 08193 Bellaterra, Barcelona, Spain b Dpt. Biologia Animal (Vertebrats), Facultat de Biologia, Universitat de Barcelona Av. Diagonal 645, 08028 Barcelona, Spain c UTOX-PCB, Parc Cient´ıfic de Barcelona, Baldiri Reixac 10, 08028 Barcelona, Spain article info abstract Article history: The leachates from the Garraf landfill located in a protected site (NE Spain) contain several potentially Received 28 February 2009 toxic substances such as heavy metals. Here we report the histopathological alterations produced by Received in revised form this pollution in wild specimens of an omnivorous species, the wood mouse, Apodemus sylvaticus, and an 8 August 2009 insectivorous species, the greater white-toothed shrew, Crocidura russula. Hepatic tissue presented the Accepted 13 August 2009 most severe alterations in both the species, namely cell cycle arrest (apoptosis and necrosis), Available online 15 September 2009 inflammation, preneoplasic nodules, vacuolation and microsteatosis. The kidneys were altered more in Keywords: the mice (presenting tubular necrosis and dilatation, inflammation, and cylinders) than in the shrews, Small mammals suggesting that different metabolic pathways render shrews more tolerant to renal toxicity induced by Histopathology pollutants. No pollution-related alterations were observed in lung, spleen, pancreas, gonads, Target tissues oesophagus, intestine, or adrenals. We conclude that the two species could be used in conjunction as Landfill leachates Protected areas bioindicators to assess the effects of environmental pollution at different trophic levels. & 2009 Elsevier Inc. All rights reserved. 1. Introduction Thus, terrestrial small mammals (rodents and insectivores) have often been used as bioindicators of physical and chemical Wild populations inhabiting polluted sites are often exposed pollution (revisions in Ma and Talmage, 2001; Sheffield et al., to a mixture of chemical pollutants which are mainly taken in 2001; Talmage and Walton, 1991). The wood mouse, Apodemus with the food. These pollutants result in multiple stresses sylvaticus (Rodentia, Mammalia), is a widespread species often and affect biological systems at virtually all levels, from molecules abundantly present in nature areas. Although occasionally show- to ecosystems. The assessment of the risks of the diversity ing carnivorous behaviour, this mouse is mainly a primary of pollutants to natural populations is difficult as this depends consumer and as such is often used as bioindicator of pollution on a variety of abiotic (e.g. temperature, pluviosity) and biotic (e.g. Gonzalez et al., 2008; Rogival et al., 2007). The greater white- (e.g. age, gender, species) factors. However, studies under field toothed shrew, Crocidura russula (Soricomorpha, Mammalia), conditions provide crucial ecotoxicological data on bioindicator is a relatively common secondary consumer in South Europe, species that can provide information on the quality of the predating on arthropods, molluscs and earthworms. It has environment (e.g. Pereira et al., 2006) and how to manage recently been reported as a suitable species for ecotoxicological protected areas (e.g. Sanchez-Chardi and Nadal, 2007; Sanchez- studies (Gonzalez et al., 2008, 2009; Sanchez-Chardi and Chardi et al., 2007, 2009). The species used for monitoring Nadal, 2007; Sanchez-Chardi et al., 2007, 2008, 2009; Wijnhoven purposes should cover various levels of the food chain, like et al., 2007). The use of wild specimens in ecotoxicological primary (herbivorous) and secondary (carnivorous) consumers. studies includes aspects of bioavailability, toxicity and detoxifica- tion mechanisms, and specific or individual exposure and susceptibility as determining factors for environmental risk $Funds: This study was financially supported by the Generalitat de Catalunya under natural conditions. However, most information concerning (Projects ACOM97-025, 2009SGR403 and 2009SGR43) and the Museu de Gava. All the toxic effects of pollutants, such as heavy metals, on the specimens were treated according to the European and Spanish legislation for structure and function of organs have derived from labora- laboratory animals. Ã tory experiments on animals exposed to a single compound Corresponding author at: Servei de Microscopia, Facultat de Ciencies, Edifici C, (Damek-Poprawa and Sawicka-Kapusta, 2004; Hoffmann et al., Universitat Autonoma de Barcelona, 08193 Bellaterra, Barcelona, Spain. " Fax: +34 935812090. 1975; Koyu et al., 2006; W ostowski et al., 2000) and, less E-mail address: [email protected] (A. Sanchez-Chardi). frequently, to multiple compounds (Jadhav et al., 2007; Silva de 0013-9351/$ - see front matter & 2009 Elsevier Inc. All rights reserved. doi:10.1016/j.envres.2009.08.004 ARTICLE IN PRESS A. Sanchez-Chardi et al. / Environmental Research 109 (2009) 960–967 961 Assis et al., 2005) or complex mixtures such as landfill 2. Materials and methods leachates (Li et al., 2006a, b; Swiergosz-Kowalewska et al., 2006; Talorete et al., 2008). This controlled assessment of individual 2.1. Study sites health status is the basis for further assessments of the true effects of pollutants on wild populations and dynamic natural The two study sites are located on the karstic massif of Garraf (NE Spain), a systems. coastal system formed by hills of about 700 m, traversed by several valleys and covered by Mediterranean xerophytic vegetation. The area is located 30 km south Landfills are a considerable source of pollution in Mediterra- of Barcelona city, and has granted partial protection as ‘‘Parc del Garraf’’. Using nean countries (Loukidou and Zouboulis, 2001), including Spain. Sherman live traps, 49 specimens of the wood mouse, A. sylvaticus, and The decomposition of disposed waste or the interaction between 28 specimens of the greater white-toothed shrew, C. russula, were trapped at water and waste leads to the formation of liquid effluents named two sites from February to May 1998. One polluted site called ‘‘Vall d’En Joan’’ is in the vicinity of the pool of the leachates, placed at the lower end of a valley. The leachates. If landfills are not adequately controlled and sealed, reference site (‘‘Olesa de Bonesvalls’’) is also a valley close to the landfill. No leachates enter natural systems and cause toxic effects in plants sources of pollution are known for this area. and animals (Li et al., 2006a, b; Wilke et al., 2008). The quantity, Specimens were transported to the laboratory for dissection, following all composition and toxicity of leachates vary depending on the ethical procedures for experimental animals. Sex was determined during dissection and relative age was determined on the basis of the tooth wear (see nature and age of wastes, the method of disposal, dump depth and references in Sanchez-Chardi and Nadal, 2007; Sanchez-Chardi et al., 2007). The climatic factors (see references in Sanchez-Chardi et al., 2007). number of specimens by species, capture site, sex and age is described in Table 1. Landfill effluents often contain a wide variety of organic and Concentrations of potentially toxic metals in liver and kidneys are reported inorganic pollutants, including potentially toxic metals such as Pb, in Table 2. Cd, Fe, Zn, Cu, Mn, Mo, and Cr (see references in Sanchez-Chardi et al., 2007). These elements may be responsible for oxidative stress 2.2. Histopathological evaluation and a number of genotoxic effects reported in culture cells and laboratory rodents (Bakare et al., 2005; Li et al., 2006a, b; Talorete After dissection, the gonads, the adrenals and the left kidney and a small et al., 2008; Thomas et al., 2009) and wild mice from a waste portion of lung, oesophagus, spleen, liver, intestine, and pancreas of all specimens site (Tull-Singleton et al., 1994). The induction of oxidative stress were immediately fixed in 10% neutral-buffered formaldehyde. Samples of all as a result of the production of reactive oxygen species (ROS) can lesions observed macroscopically were also taken and fixed. Tissues were individually dehydrated in ethanol series, cleared in toluene and embedded in damage lipids, thiol-proteins and nucleic acids (Jadhav et al., 2007 Paraplast Histocomp (Vogel). Sections of 5–10 mm were stained with conventional and references herein) thereby producing large alterations to hematoxylin and eosin and mounted in DPX. A Leitz DMRB light microscope with a tissues and ending in cell cycle arrest (Damek-Poprawa and camera Leica DC 500 was used for observations. Sawicka-Kapusta, 2003, 2004; Goyer, 1997; Sanchez-Chardi et al., The incidence of alterations was reported in a qualitative evaluation. For statistical purposes, the alterations were measured on a semi-quantitative scale. 2008; Swiergosz-Kowalewska et al., 2006). Although hepatic and A global score for each tissue was assigned to each specimen in a conventional renal tissues are the primary targets of pollutants ingested with scale on the basis of the severity and/or extent of lesions: without alterations ( ), the diet (e.g. Koyu et al., 2006; W"ostowski et al., 2000), metals slightly altered (+), intermediately altered (++), and strongly altered (+++). A global can also affect other organs and tissues, such as blood, gonads, score was given to each sample (0, 1, 2, 3). All results are expressed as mean and 7 spleen, lung, brain and bones (Damek-Poprawa and Sawicka- standard error of the mean (M SEM). Kapusta, 2003; Jadhav et al., 2007; Li et al., 2006a, b), as reported in histopathological evaluations for wild rodents inhabiting near 2.3. Statistical analyses metallurgical industries (Damek-Poprawa and Sawicka-Kapusta, 2004) and abandoned mines (Pereira et al., 2006). To our For each tissue and species, the results of the semi-quantitative assessment knowledge, the present study is the first to compare the were compared by site, age and sex using Mann–Whitney tests (U). To detect relations between histopathology and other biomarkers, Spearman’s correlation histopathological alterations caused by environmental pollution coefficients (r) were calculated between the histopathological evaluation and the in two species of small mammals placed at different trophic bioaccumulation of metals and morphometric, plasmatic, and genotoxic para- position; a murid (wood mouse) and a crocidurine (greater white- meters for each species. Significant differences were accepted at po0.05. For all toothed shrew). Despite the scarce information on structural sequential tests, p-values were corrected using the Bonferroni adjustment. All alterations in wild mammals exposed to landfill leachates, statistical procedures were performed with the SPSS package (version 15.0 for Windows, SPSS Inc.). previous studies in the Garraf landfill (NE Spain) reported the bioaccumulation of highly toxic metals such as Cd, Zn, Cu, and Cr and also morphological, biochemical and genotoxic alterations in 3. Results A. sylvaticus and C. russula exposed to leachates (Sanchez-Chardi and Nadal, 2007; Sanchez-Chardi et al., 2007). From 1974 to 2006, the Garraf landfill served as a disposal site for domestic In general, the organs of specimens of A. sylvaticus and and industrial wastes and solid sludge from the metropole of C. russula from the reference site showed healthy aspect. Livers Barcelona, accumulating about 25 million tonnes of waste. In had a compact structure and hepatocytes had a normal shape 1986, the karstic area of Garraf granted protection status in (Fig. 1A and F). Kidneys had a well developed cortex and medulla recognition of its singular habitats and the endangered species found there. Therefore, the need to biomonitor of the landfill site increased. Table 1 The main objectives of this study are: (i) to qualify and Number of animals captured in the reference and landfill site by species, site, age quantify histological alterations in target tissues of two sympatric and sex (in brackets: males, females). species of small mammals (a rodent and an insectivore) exposed Species Site Age Total to landfill leachates; (ii) to compare toxicity in these two species, which differ in their metabolism and trophic position; (iii) to Juveniles Adults identify the influence of sex and age as source of intra-species A. sylvaticus Reference 5 (2, 3) 20 (12, 8) 25 (14, 11) variation; (iv) to correlate histological alterations with metal Landfill 11 (6, 5) 13 (9, 4) 24 (15, 9) bioaccumulation and other biomarkers; and (v) to assess the C. russula Reference 1 (1, 0) 15 (11, 4) 16 (12, 4) environmental consequences of landfill pollution particularly in Landfill 3 (1, 2) 9 (9, 0) 12 (10, 2) protected areas. ARTICLE IN PRESS 962 A. Sanchez-Chardi et al. / Environmental Research 109 (2009) 960–967 Table 2 Mean7SEM values for metals in liver and kidneys of wood mice, A. sylvaticus, and greater white-toothed shrews, C. russula, from the reference and the landfill sites (in mgg 1 DW). Liver Kidneys Reference site Landfill site Reference site Landfill site (n ¼ 23) (n ¼ 27) (n ¼ 23) (n ¼ 28) A. sylvaticus Fe 619.23741.50 874.74766.64** 513.72721.09 589.11717.55** Mg 1349.83733.68 1428.49738.35 1418.85736.10 1525.62736.06 Pb 0.4170.05 0.6870.11 0.7370.08 1.1070.18 Cd 0.3070.08 0.4470.15* 0.9270.24 1.4470.48 Zn 162.0775.73 200.49713.26* 142.7674.99 135.8873.13 Cu 20.6871.36 39.16710.36* 20.6670.86 23.4570.67* Mn 7.9570.95 10.2371.80* 4.8770.40 6.5971.00 Mo 3.1670.24 4.3870.16*** 1.6570.11 1.9270.20 Cr 0.7170.05 1.3270.10*** n.d. 3.6170.32*** Liver Kidneys Reference site Landfill site Reference site Landfill site (n ¼ 34) (n ¼ 19) (n ¼ 31) (n ¼ 19) C. russula Fe 3085.277230.29 3304.487502.00 895.76774.02 755.00739.33 Mg 1392.747182.09 1608.63776.49** 1490.34720.93 1455.26737.42 Pb 1.9370.20 3.4070.49** 5.3770.69 16.3673.78** Cd 3.0370.26 10.2871.63** 4.6570.48 25.5973.58*** Zn 199.8076.80 232.26711.14* 209.8776.23 194.6578.79 Cu 52.4773.03 84.9077.84 46.9772.73 49.4775.42 Mn 37.4271.37 42.6172.20*** 16.5270.56 16.4470.69 Mo 5.2470.22 4.5070.38 2.4970.24 2.5370.29 Cr 2.3170.16 3.4970.45* n.d. 5.4070.59*** *pr0.05; **pr0.01; ***pr0.001 (after Sanchez-Chardi and Nadal, 2007; Sanchez-Chardi et al., 2007). n.d.: Not detected. (Fig. 2A, B, and J). The following alterations were observed by the one case of a small alveolar carcinoma was found in a specimen following species: from the control site. Inflammatory reactions related to parasitosis (helminths and candidiasis) in spleen, semi- niferous tubules, and intestine in six specimens (three from A. sylvaticus: A total of 21 out 24 specimens from the landfill each capture site) were found (data not shown). These site showed altered tissue structure. In contrast, only 11 out of alterations not related to pollution were not considered in 25 mice from the reference site showed histological altera- the present histopathological evaluation. tions. Focal cell death, apparently produced by apoptosis (no C. russula: Nine out of 12 shrews of the landfill site showed surrounding inflammatory reaction was present), was ob- hepatic alterations related to pollution; apoptosis, necrosis, served in livers of a number of individuals from the two sites, periportal and perivascular lymphocite infiltration and signs although more frequent and severe in the specimens from the of regenerating activity, vacuolation, and microsteatosis landfill site (Table 3). Extensive necrotic areas (with or without (Fig. 1G–J). Thirteen out of 16 animals from the reference site inflammation) often surrounded by vacuoled hepatocytes or showed healthy tissue structure. No severe pathologies were with microsteatosis were simultaneously observed in several observed in kidneys (Fig. 2K–N). The mean scores of alterations specimens irrespective of the zone; however, these alterations in liver for polluted and reference site were 0.9270.28 vs. were also more frequent at the polluted site. One individual 0.0670.05 (U ¼ 48,000; p ¼ 0.008) and 0.1570.10 vs. from the polluted site showed severe inflammation and 0.0570.04 (U ¼ 100,000; p ¼ 0.680), respectively. Like in wood another showed several preneoplasic foci in the liver (Fig. 1). mice, no lesions related to pollution were observed in the other There were no signs of morphological injury in the hepatic tissues evaluated. However, severe acute and chronic inflam- portal vein. The degree of hepatic damage was significantly matory reactions related to the presence of helminths, with higher in the animals from the polluted site than in controls presence of plasma cells, neutrophils and a high number of (1.0470.20 vs. 0.3670.15, U ¼ 183,000; p ¼ 0.005). In general eosinophils, were found in airways, spleen, and digestive tract terms, the kidneys showed few pathological features, although of six shrews from the polluted site and three from the some cases of interstitial nephritis, tubular dilatation, focal reference site (data not shown). Severity and frequency of tubular necrosis and hyaline cylinders (formed by proteic casts histological pathologies related with pollution for both species and/or cellular debris) in tubular lumina were seen. is summarized in Table 3. Pathological features were almost exclusively found (Table 3) in animals from the landfill site (Fig. 2C–I). On the whole, the level of renal damage, although low at both sites, was No significant relations were found between sex or age and significantly higher at the polluted site (0.3270.12 vs. structural alterations. Few significant correlations were detected 0.0470.04, U ¼ 249,000; p ¼ 0.041). No lesions related to between hepatic histopathology and other parameters previously pollution were observed in lung, spleen, gonads, oesophagus, reported. In A. sylvaticus, hepatic alterations were correlated intestine, adrenals or pancreas. It should be noted that no with relative liver weight (r ¼ 0.451, p ¼ 0.002), kidney weight murine chronic respiratory disease (CRD) was detected. Only (r ¼ 0.315, p ¼ 0.040) and bioaccumulation of Cu in kidneys ARTICLE IN PRESS A. Sanchez-Chardi et al. / Environmental Research 109 (2009) 960–967 963 Fig. 1. Representative micrographs of hepatic sections from A. sylvaticus (A–E) and C. russula (F–J) showing: (A, F) non-altered tissue with hepatocytes with normal shape, (B) extensive necrosis, (C) supracapsular necrosis, (D) apoptotic cells, (E, J) inflammation, (G) highly vacuolated hepatocytes, (H) steatosis, and (I) extensive necrotic areas surrounding by vacuolated areas (bar size corresponding to 50 mm (A–C, I) or 25 mm (D–H)). (r ¼ 0.322, p ¼ 0.040). In C. russula, correlations were found area. We propose that our approach can be a suitable as a between hepatic histopathology and relative liver weight biomarker to detect toxicity and pollution effects caused by (r ¼ 0.396, p ¼ 0.041) and bioaccumulation of Mn in kidneys chronic or acute exposure of wildlife more sensitive than other (r ¼ 0.405, p ¼ 0.045). methods. The alterations observed in specimens from the polluted site are compatible with exposure to pollutants and, more specifically to landfill leachates. In general, hepatic and renal 4. Discussion toxicity effects appear when primary or acquired tolerance of cells and tissues are overloaded. The main exposure route to metals for Given the concern about the environmental consequences of mammals is though the diet and hepatic and renal tissues are the pollution, several approaches have been proposed for the assess- primary targets (Clark et al., 1992; Koyu et al., 2006; Larregle et al., ment and prediction of pollutant behaviour and the effects of 2008; Pereira et al., 2006; W"ostowski et al., 2008). In fact, in both these substances on ecosystems. Laboratory studies under con- species, liver was the organ in which most histological alterations trolled conditions (Jadhav et al., 2007; Koyu et al., 2006; Zhang caused by exposure to landfill pollution were observed and et al., 2009), models to predict toxicity or dispersion of pollutants significant correlations between histopathological alterations in (Kools et al., 2009) or the biomonitoring of abiotic or biotic liver and liver weight reinforce this observation. The damage to components as well as several biomarkers in wild biota (Pereira this organ may be related to its metabolic functions in toxic et al., 2006; Scheirs et al., 2006; Tersago et al., 2004) attempt to transformation, bioaccumulation and excretion. In contrast to address these issues. However, the exposure to mixtures of shrews, mice from the landfill site showed considerable altera- pollutants that interact among themselves or with abiotic and tions in kidneys, thereby indicating inter-specific differences in biotic components, the differential exposure or toxicity related to the response to toxicity. Kidney lesions concordant with our several biotic factors (nutritional status, age or gender among results have been reported in wild rodents from polluted areas others) and other non-controlled variables of dynamic environ- (Stansley and Roscoe, 1996) and in laboratory shrews exposed to ments that alter bioavailability of pollutants are just some of Pb (Pankakoski et al., 1994). the factors that hinder research to effects of mixtures in the field. Leachates are inductors of oxidative stress that injure cells and Here we addressed the effects of landfill pollution under natural tissues (e.g. Li et al., 2006a, b). Small mammals from the landfill conditions by performing a comparative study of structural site of Garraf accumulate heavy metals up to toxic concentrations alterations in tissues of sympatric small mammals in a protected in their tissues (Sanchez-Char di and Nadal, 2007; Sanchez-Chardi ARTICLE IN PRESS 964 A. Sanchez-Chardi et al. / Environmental Research 109 (2009) 960–967 Fig. 2. Representative micrographs of renal sections from A. sylvaticus (A–I) and C. russula (J–N) showing: (A, B, J) normal structure of cortex and medulla, (C) tubular dilatation, (D, L) tubular dilatation in cortex, (E, M) tubular dilatation in medulla, (F, N) tubular necrosis, (G, H) cylinders, and (I) interstitial nephritis (bar size corresponding to 100 mm (A, C, J, K) or 50 mm (B, D–N)). et al., 2007). This might indicates the important contribution of and activation of Kupffer cells (Pagliara et al., 2003). A cascade of these elements to the effects reported. Although the precise events involving inflammatory and cytotoxic mediators (Koyu molecular mechanism or mechanisms by which metals cause this et al., 2006) results in hepatocytes damage. In the wood mice, damage remain unclear, the production of ROS is believed to be hepatocyte death (apoptosis) was maintained at a moderate level involved (Chwe"atiuk et al., 2005; W"ostowski et al., 2008). in controls suggesting that it is the expression of physiological cell Depending on the nature of the injury, the generation of this turnover. However, A. sylvaticus from the polluted site showed oxidative stressor damages DNA, thereby producing apoptosis, apoptotic figures instead of the necrotic cells, surrounded by necrosis or carcinogenic processes and altering membranes and lymphocytes. This observation of cell cycle arrest is also lipid and protein metabolism (Jadhav et al., 2007; Larregle et al., commonly described in laboratory rodents and might indicate 2008; Mena et al., 2009; Pereira et al., 2006). For example, the toxic effects caused by exposure to leachates. A similar response, hepatotoxicity in vivo induced by metals such as Cd seems usually although less severe and less frequently, was observed in shrews to be produced as ischemia caused by damage to endothelial cells from the landfill site. Exposure to several pollutants, including ARTICLE IN PRESS A. Sanchez-Chardi et al. / Environmental Research 109 (2009) 960–967 965 Table 3 Frequency and severity of histological alterations by site and tissue in wood mice (A. sylvaticus) and greater white-toothed shrews (C. russula) (without alterations ( ), slightly altered (+), intermediately altered (++), strongly altered (+++)). Apodemus sylvaticus Crocidura russula Reference Landfill Reference Landfill