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Table S1. Water Level Change Rates of Lakes/Reservoirs in the MLYB

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Table S1. Water level change rates of lakes/reservoirs in the MLYB during 2002~2017 (“*” indicates a significance level of 0.1 (P<0.1)). Mean Area Start level End level Rates No Lake name Campaigns inliers of Start date End date R^2 P (km2) (m) (m) (m/y) campaigns 1 Wu Lake1 64.844 113 7 2002/7/15 25.372 2017/9/8 22.642 -0.097 0.075 0.003* East Dongting 2 841.366 83 25 2003/10/14 25.932 2017/12/4 22.939 0.026 0.002 0.684 Lake South Dongting 3 435.826 253 14 2002/6/13 28.920 2017/6/18 29.203 0.009 0.001 0.675 Lake 4 Poyang Lake 2835.484 319 38 2002/6/17 14.260 2017/7/8 18.938 0.019 0.002 0.403 5 Shijiu Lake 183.709 45 21 2003/10/31 5.982 2017/11/20 5.616 0.108 0.062 0.099* 6 Chang Lake 123.993 161 5 2002/6/13 32.111 2017/5/22 32.713 -0.081 0.126 0.000* 7 Wu Lake 20.166 66 10 2002/7/9 19.198 2017/9/6 18.783 -0.035 0.014 0.351 8 Dong Lake 32.503 88 6 2002/9/17 20.860 2017/10/5 20.685 -0.026 0.078 0.009* 9 Chi Lake 41.705 101 5 2002/7/6 15.074 2017/8/6 15.346 -0.007 0.001 0.793 10 Hou Lake 14.460 66 4 2002/7/31 18.551 2017/4/19 18.343 0.001 0.000 0.909 11 Futou Lake 101.414 92 9 2002/7/9 19.417 2017/7/12 20.033 0.004 0.000 0.889 12 Liangzi Lake 298.496 152 22 2002/9/4 17.787 2017/9/6 17.779 0.004 0.000 0.803 13 Ci Lake 9.126 75 5 2002/6/20 16.882 2016/4/13 17.320 0.006 0.006 0.524 14 Lu Lake 45.395 38 9 2004/5/18 18.877 2017/4/19 19.539 0.039 0.022 0.378 15 Yandong Lake 5.040 17 5 2004/6/20 18.907 2017/3/21 18.847 0.034 0.156 0.117 16 Tangxun Lake 44.783 146 8 2002/7/9 19.481 2017/7/12 19.733 0.045 0.116 0.000* 17 Wang Lake 45.109 23 11 2004/3/10 11.859 2017/3/18 12.223 0.041 0.066 0.235 18 Ce Lake 9.085 79 6 2002/9/20 16.576 2017/10/3 16.486 0.069 0.121 0.002* 19 Sanchagang Lake 23.298 31 6 2004/11/6 15.981 2017/11/30 17.236 0.090 0.199 0.012* 20 Wangtian Lake 9.893 42 4 2003/10/25 15.901 2017/1/22 16.548 0.116 0.359 0.000* 21 Tuandun Lake 8.916 15 4 2004/5/18 18.523 2017/4/19 19.243 0.109 0.237 0.066* 22 Nan Lake 8.987 60 3 2002/7/31 20.417 2016/7/9 21.946 0.128 0.616 0.000* 23 Datong Lake 81.696 46 13 2002/6/13 27.653 2017/4/22 26.666 -0.013 0.018 0.377 24 Dong Lake1 21.021 69 5 2002/7/12 27.308 2017/10/9 27.336 -0.007 0.003 0.635 25 Lu Lake1 107.301 35 20 2003/3/7 26.261 2017/3/24 26.131 0.001 0.000 0.965 26 Tuxiao Lake 9.744 79 4 2002/7/31 32.470 2017/9/12 32.051 0.007 0.001 0.841 27 Noname Lake2 6.827 19 8 2003/10/26 34.617 2017/12/6 34.877 0.014 0.031 0.468 28 Taxi Lake 8.810 91 6 2002/6/13 27.137 2017/7/16 26.854 0.018 0.027 0.117 29 Xi Lake2 9.030 54 3 2002/7/31 32.480 2017/6/19 29.521 0.035 0.023 0.271 30 Daye Lake 60.204 110 4 2002/7/25 17.162 2017/7/10 16.807 0.037 0.016 0.185 31 Maoyan Lake 19.637 81 5 2002/7/31 32.487 2017/9/12 32.086 0.062 0.067 0.020* 32 Tuantou Lake 8.775 16 3 2003/11/2 27.879 2016/9/7 30.426 0.203 0.440 0.005* 33 Junhsan Lake 156.935 112 28 2002/6/23 16.032 2017/8/4 17.005 0.004 0.001 0.776 34 Yao Lake 18.551 67 3 2002/6/17 15.553 2017/4/14 16.370 0.053 0.126 0.003* 35 Chishan Lake 7.296 75 3 2002/10/13 9.624 2017/10/22 7.830 -0.102 0.353 0.000* 36 Nanyi Lake 148.602 72 11 2002/5/26 9.656 2017/5/5 6.845 -0.076 0.111 0.004* 37 Taibai Lake 31.529 36 10 2003/11/1 12.025 2017/10/30 11.794 0.003 0.000 0.906 38 Bo Lake 128.408 109 13 2002/6/17 12.319 2017/5/11 10.472 0.007 0.001 0.805 39 Chao Lake 786.813 260 37 2002/7/3 8.876 2017/7/4 7.129 0.014 0.010 0.101 40 Daguan Lake 262.028 137 21 2002/6/17 12.121 2017/6/9 10.708 0.021 0.007 0.336 41 Gucheng Lake 57.346 70 10 2002/10/13 7.595 2016/12/16 7.155 0.054 0.048 0.069* 42 Longgan Lake 321.311 66 20 2003/11/15 11.131 2017/12/25 10.185 0.062 0.047 0.082* 43 Baidang Lake 37.285 76 5 2002/10/16 9.079 2017/11/24 8.809 0.073 0.053 0.046* 44 Wuchang Lake 77.669 53 9 2004/3/12 9.276 2017/4/12 10.548 0.103 0.123 0.010* 45 Langan Lake 7.138 32 3 2002/9/17 12.872 2017/8/4 12.832 0.104 0.115 0.058* 46 Dongjiu Lake 8.295 56 2 2002/6/14 4.270 2017/3/9 3.803 -0.044 0.033 0.183 47 Cao Lake 9.338 64 4 2002/5/26 3.803 2017/6/28 2.555 -0.043 0.049 0.080* 48 Ge Lake 205.313 114 26 2002/6/14 2.356 2017/5/3 2.423 0.006 0.008 0.339 49 Tai Lake 2419.008 307 75 2002/6/27 2.490 2017/6/28 2.460 0.008 0.016 0.028* 50 Dianshan Lake 62.341 33 13 2003/11/5 1.808 2017/11/16 2.023 0.028 0.296 0.001* 51 Ezhendang Lake 5.179 54 4 2004/5/30 2.655 2017/6/28 2.402 0.030 0.101 0.019* 52 Xijiu Lake 11.116 18 3 2004/10/27 2.340 2017/11/18 3.165 0.059 0.122 0.155 Yahekou 53 38.964 53 9 2003/10/26 174.818 2017/12/4 174.399 -0.510 0.400 0.000* Reservoir 54 Wuling Reservoir 5.682 28 4 2002/10/25 61.025 2016/11/1 61.634 -0.368 0.133 0.056* 55 Shimen Reservoir 6.201 63 5 2003/1/25 85.210 2017/12/4 88.618 -0.285 0.055 0.064* Xionghe 56 6.025 40 3 2002/9/4 116.855 2017/12/4 123.649 -0.239 0.106 0.040* Reservoir Duangang 57 5.084 21 4 2004/5/24 51.978 2017/7/14 53.643 -0.104 0.037 0.406 Reservoir 58 Huiting Reservoir 17.575 19 6 2003/11/2 81.856 2017/11/5 84.585 0.096 0.017 0.592 Danjiangkou 59 431.874 99 19 2002/6/13 141.523 2017/6/19 157.227 0.375 0.059 0.016* Reservoir 60 Fushui Reservoir 45.378 35 7 2003/5/1 50.724 2017/5/15 51.886 0.046 0.004 0.722 Mingshan 61 6.723 15 2 2004/10/25 84.574 2017/10/3 87.545 0.166 0.102 0.246 Reservoir 62 Niuche Reservoir 6.017 77 5 2002/10/25 68.881 2017/11/1 69.341 0.475 0.340 0.000* Taifumiao 63 16.590 51 3 2002/10/25 96.391 2017/9/12 91.404 -0.513 0.312 0.000* Reservoir 64 Tieshan Reservoir 27.096 15 8 2004/3/13 86.646 2017/6/16 91.547 0.352 0.346 0.021* Dongjiang 65 110.645 32 10 2002/10/31 283.002 2017/12/2 271.345 0.849 0.171 0.019* Reservoir 66 Zhelin Reservoir 198.690 114 8 2002/11/23 62.047 2017/11/28 61.141 0.258 0.198 0.000* 67 Shaheji Reservoir 9.940 38 3 2003/2/17 36.650 2017/12/21 36.054 -0.127 0.259 0.001* Longhekou 68 37.894 92 5 2002/6/17 63.160 2017/7/6 60.656 0.257 0.204 0.000* Reservoir Taipinghu 69 49.021 64 7 2002/8/10 113.395 2017/8/29 113.745 0.412 0.319 0.000* Reservoir 70 Shahe Reservoir 7.929 17 6 2005/10/25 19.053 2017/7/29 18.449 0.099 0.166 0.105 Table S2.
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  • Potential Indicator Value of Subfossil Gastropods in Assessing the Ecological Health of the Middle and Lower Reaches of the Yangtze River Floodplain System (China)

    Potential Indicator Value of Subfossil Gastropods in Assessing the Ecological Health of the Middle and Lower Reaches of the Yangtze River Floodplain System (China)

    geosciences Article Potential Indicator Value of Subfossil Gastropods in Assessing the Ecological Health of the Middle and Lower Reaches of the Yangtze River Floodplain System (China) Giri Kattel 1,2,3,*, Yongjiu Cai 1, Xiangdong Yang 1, Ke Zhang 1, Xu Hao 4, Rong Wang 1 and Xuhui Dong 5 1 State Key Laboratory of Lake Science and Environment, Nanjing Institute of Geography and Limnology Chinese Academy of Sciences, Nanjing 210008, China; [email protected] (Y.C.); [email protected] (X.Y.); [email protected] (K.Z.); [email protected] (R.W.) 2 Environmental Hydrology and Water Resources Group, Department of Infrastructure Engineering, University of Melbourne, Melbourne, Parkville, VIC 3010, Australia 3 Department of Hydraulic Engineering, Tsinghua University, Beijing 100084, China 4 Hoan Environmental Monitoring Corporation, Nanjing 210008, China; [email protected] 5 School of Geographical Sciences, Gunagzhou University, Guangzhou 510006, China; [email protected] * Correspondence: [email protected]; Tel.: +61-428-171-180 Received: 20 April 2018; Accepted: 15 June 2018; Published: 17 June 2018 Abstract: The lakes across China’s middle and lower reaches of the Yangtze River system have a long history of sustaining human pressures. These aquatic resources have been exploited for fisheries and irrigation over millennia at a magnitude of scales, with the result that many lakes have lost their ecological integrity. The consequences of these changes in the ecosystem health of lakes are not fully understood; therefore, a long-term investigation is urgently needed. Gastropods (aquatic snails) are powerful bio-indicators that link primary producers, herbivores, and detritivores associated with macrophytes and grazers of periphyton and higher-level consumers.