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Liming Effects on Ecosystem Structure, Function and Trophic Relationships in Lakes

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Liming Effects on Ecosystem Structure, Function and Trophic Relationships in Lakes 2a:11 Liming effects on ecosystem structure, function and trophic relationships in lakes FÖRFATTARE Willem Goedkoop, IMA, Institutionen för vatten och miljö, Sveriges lantbruksuniversitet David Angeler, IMA, Institutionen för vatten och miljö, Sveriges lantbruksuniversitet CONTENTS General introduction 393 Part 1. Analysis of benthic and pelagic community structure 393 Material and Methods 393 Results and Discussion 398 Part 2: Analysis of food web structure using stable isotopes 413 Material and methods 413 Results and Discussion 415 Summary and future perspectives 420 References 420 Ange sidorna 392–422 om du vill skriva ut detta kapitel. GENERAL INTRODUCTION were significantly different between limed lakes and reference lakes. His results provide a basis for a more Freshwater liming programs have been established exhaustive exploration of community structure using in several industrialized countries to alleviate the ef- comparative univariate and multivariate statistics. fects of anthropogenic acid deposition. Sulphur and «>À>ÌÛiÊ>>ÞÃiÃÊÕÃ}Ê`vviÀiÌÊÃÌ>ÌÃÌV>Ê nitrogen deposition can have profound impacts on methods could provide a means to assess whether surface aquatic ecosystems, altering biotic commu- different lake communities in different habitat types nity structure and functional processes in ecosystems of limed lakes converge with those in circumneutral (McKie et al., 2006). Liming as a mitigation measure reference lakes. If this is the case, this could indicate >``ÃÊ > " to anthropogenically acidified waters to 3 that liming has potential to restore lake communities neutralize H+ ions and facilitate precipitation of toxic of anthropogenically acidified lakes to conditions ions, especially aluminum, that become soluble at of circumneutral reference lakes; this could sup- ÜiÀÊ«Ê­7i>Ì iÀÞ]Ê£nn®°Ê}Ê >ÃÊÀ>Ãi`Ê«Ê port liming applications as a mitigation measure. in many acidified systems, often allowing recovery Alternatively, if communities in limed lakes are of acid-sensitive organisms (Bradely & Ormerod, structurally different from those in acid and circum- 2002). However, the systematic alkalinization of neutral reference lakes, liming likely fails to achieve streams and lakes itself constitutes a substantial restoration goals, and magnitudes of differences iVÃÞÃÌiiÛiÊ«iÀÌÕÀL>ÌÊ­7i>Ì iÀÞ]Ê£nnÆÊ between the structures of different communities may Schreiber, 1996). Liming can increase turbidity and help evaluate to what extent liming can constitute a the inorganic content of particulate matter consumed form of anthropogenic perturbation. In the first part by many invertebrates (Kullberg, 1987), and may of the present report, we test these assumptions by >ÃÊ«ÀiV«Ì>ÌiÊ`ÃÃÛi`ÊÀ}>VÊV>ÀLÊ­ " ®]Ê means of a standardized comparison of phytoplank- removing it from microbial food webs and reducing ton, zooplankton, and macroinvertebrates in three its buffering potential in humic systems (Kullberg et habitat types (littoral, sublittoral and profundal). Our al., 1993). Furthermore, any additional inflow of acid analysis spans a period from 2000 to 2004, which water from runoff or tributaries into limed systems allows assessing magnitudes of structural differences can create an aluminum chemistry that is potentially between lake categories over several years between more toxic than that of untreated water (Rossland et communities in a standard way. Even though much al., 1992; Teien et al., 2004). larger time series are available in the programme, the The Swedish liming program was established high heterogeneity (missing data, different sampling during the 1970s to mitigate extensive acidification of resolutions) of these data sets precluded their use for poorly buffered freshwaters. In particular, the IKEU a standardized comparison between multiple com- program was initiated in 1989 and comprises lakes munities. In the second part of this report, we focus that have been extensively monitored with regard to on a quantitative analysis of trophic relationships important biological and abiotic variables. Several in food webs of limed acid and circumneutral lakes recent reports (Holmgren, 2008; Persson, 2008a; ÕÃ}ÊÃÌ>LiÊÃÌ«iðÊ7iÊ`iÌiÀiÊÜ iÌ iÀÊLiÌ VÊ Stendera, 2008; Sundbom, 2008a; Östlund, 2008) and pelagic food web structure differs in limed lakes and also previous publications using IKEU data compared to acid and circumneutral references. ­i°}°]Ê««iLiÀ}]Ê£nÆÊ*iÀÃÃ]ÊÓää£ÆÊ7j]ÊÓääÈÆÊ Persson, 2008b), often only focus on single commu- nities and/or single habitats which limits an overall PART 1. ANALYSIS OF BENTHIC AND assessment of overall biological responses to liming PELAGIC COMMUNITY STRUCTURE from a structural point of view. Only the paper of Persson and Appelberg (2001) provide a comparison of plankton, benthos and fish communities from a Material and Methods production perspective, and Holmgren (2001) studied Data assembly biomass size spectra based on plankton and fish com- 7iÊiÛ>Õ>Ìi`Ê`>Ì>ÊvÊ« ÞÌ«>Ì]Êâ«>ÌÊ munities to provide a means of an integrated struc- in the pelagic and macroinvertebrate communities in tural (community structure) and functional (trophic three benthic habitat types (littoral, sublittoral, and relationships between communities and energy flow) profundal) available in the IKEU and national lake analysis. Finally, Sundbom (2008b) provided a com- monitoring databases. Data have been collected since parative long-term analysis of quantitative structural 1986, but the databases were highly heterogeneous and functional aspects of plankton, benthos and fish with regard to temporal sampling resolution of com- communities. He showed that the biomass levels munities in acid reference lakes (hereafter referred to and temporal trends of different functional groups 2A:11 – LIMING EFFECTS ON ECOSYSTEM STRUCTURE, FUNCTION AND TROPHIC RELATIONSHIPS IN LAKES 393 as acid lakes), circumneutral reference lakes (circum- FIGURE 1: Localization of study lakes. Lake catego- neutral lakes) and limed lakes. This was primarily ries: acid reference lakes (A), circumneutral reference due to repeated adjustments of the sampling fre- lakes (N), limed lakes (L). 1 = Ejgdesjön (L), 2 = quencies and differences in sampling methods. For Rotehogstjärnen (A), 3 = Fräcksjön (N), 4 = Härsvatten example, phytoplankton communities were sampled (A), 5 = Stora Härsjön (L), 6 = Gyltigesjön (L), 7 = between 2 and 7 times per year while macroinverte- Stora Skärsjön (N), 8 = Stengårdshultasjön (L), 9 = brates were sampled only once a year during most of Älgarydssjön (A), 10 = Gyslättasjön (L), 11 = Fiolen (N), the program. In order to be able to make standardi- 12 = Storasjö (A), 13 = Brunnsjön (A), 14 = Allgjuttern zed comparisons between communities, all analyses (N), 15 = Stora Envättern (N), 16 = Stensjön (L), 17 = for the present report are based on a single yearly Övre Skärsjön (A), 18 = Västra Skälsjön (L), = Tryssjön sampling occasion (August for phyto- and zooplank- (L), 20 = Bösjön (L), 21 = Stensjön (N), 22 = Källsjön (L), ton communities, October for macroinvertebrates). 23 = Remmarsjön (N), 24 = Lien (L). Encircled numbers Extracting a single yearly value from the databases indicate lakes that were sampled for analysis of stable also helped to avoid potential problems, which would isotopes (i.e. part 2 of this project). arise from the calculation of annual means based on irregular intra-annual sample sizes among lakes and communities. Our final analysis is restricted to the 5-year period between 2000 and 2004 ultimately constrained by methodological differences in the sampling of littoral macroinvertebrate communities in IKEU (limed lakes) and monitoring programs of acid and circumneutral lakes. The lakes summarized in Table 1 and Figure 1 met our final selection criteria for standardized compa- risons. Four of these lakes are acid lakes, seven are circumneutral lakes, while eleven lakes are limed lakes. Some of their water quality variables are also shown in Table 1. For the present study all analy- ses except littoral macroinvertebrates are based on biomass data (mm3/L for phytoplankton, mm3/m3 for zooplankton, g/m2 for sublittoral and profundal ma- croinvertebrates). Littoral macroinvertebrate samples were collected by standardized kick samples, thus resulting in semi-quantitative abundance data. Sampling procedures For water quality analysis we used August values of ÃÕÀv>ViÜ>ÌiÀÊÃ>«iÃÊ­äqÓÊ®]ÊÜ V ÊÜiÀiÊViV- ted, in the open-water mid-lake station in each lake. 7>ÌiÀÊÜ>ÃÊViVÌi`ÊÜÌ Ê>Ê*iÝ}>ÃÊÃ>«iÀÊ>`Ê kept cool during transport to the laboratory. Samples were analyzed for alkalinity, and concentrations of >]Ê}]Ê >]Ê]Ê-"4]Ê ]Ê]Ê 4-N, NO2-N+NO3-N, total N, PO4*]ÊÌÌ>Ê*]ÊÀi>}Ê*Ê­ÌÌ>Ê*ÊqÊ*"4-P), -]ÊÌÌ>ÊÀ}>VÊV>ÀLÊ­/" ®Ê>`Ê À« ÞÊa. All physicochemical analyses were done at the Secchi depth, water temperature, dissolved oxygen Department of Aquatic Sciences and Assessment fol- concentration, conductivity, and pH were measured lowing international (ISO) or European (EN) stan- in the lakes. These water quality variables helped `>À`ÃÊÜ iÊ>Û>>LiÊ­7>`iÀÊiÌÊ>°ÊÓääή°ÊÌÌÀ>Ê to delineate lake types, i.e. while limed lakes clearly macroinvertebrate samples were collected once in comprised one treatment group, we discerned bet- autumn (between September and November) from ween acid and circumneutral reference lakes, chiefly stony habitats (wind exposed littoral regions) using ÊÌ iÊL>ÃÃÊvÊÌ iÀÊ«]Ê Ê>`Ê>>ÌÞÊÛ>ÕiÃÊ standardized kick sampling and a handnet (European (Table 1). ÌÌiiÊvÀÊ-Ì>`>À`Ã>Ì]Ê£{®ÊÜÌ Ê>Êä°xÊ 394 2A:11 – LIMING EFFECTS ON ECOSYSTEM
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