Evaluating long-term trends in littoral benthic macroinvertebrate communities of lakes recovering from acid deposition

被引:11
|
作者
Lento, Jennifer [1 ]
Dillon, Peter J. [1 ]
Somers, Keith M. [1 ,2 ]
机构
[1] Trent Univ, Watershed Ecosyst Grad Program, Peterborough, ON K9J 7B8, Canada
[2] Dorset Environm Sci Ctr, Dorset, ON P0A 1E0, Canada
基金
加拿大自然科学与工程研究理事会;
关键词
Mann-Kendall trend test; Sen's slope; Van Belle and Hughes test; trend; Homogeneity of trend; Nonparametric test; SOUTH-CENTRAL ONTARIO; WATER-QUALITY; SHIELD LAKES; SULFATE CONCENTRATIONS; BIOLOGICAL RECOVERY; NONPARAMETRIC-TESTS; DROUGHT EVENTS; CANADA; ACIDIFICATION; CLIMATE;
D O I
10.1007/s10661-011-2489-5
中图分类号
X [环境科学、安全科学];
学科分类号
08 ; 0830 ;
摘要
The Mann-Kendall test has been proposed as a nonparametric method to evaluate trends in long-term water quality datasets with missing values, serial correlation, and non-normality. However, this test has rarely been used to evaluate long-term trends in biological data. In this study, we used the Mann-Kendall test to evaluate trends in 15 years of data on benthic macroinvertebrate communities from 17 Precambrian Shield lakes. We also used the van Belle and Hughes test of trend homogeneity to assess whether common among-lake temporal trends existed. We assumed that evidence of a common regional trend among lakes would support the hypothesis of long-term biological recovery from past acidification. We found decreasing proportions of Chironomidae and increasing proportions of Ephemeroptera, Plecoptera, and Trichoptera (EPT) in both single-lake and multi-lake trend analysis. Moreover, six of the nine lakes with significant trends in more than one benthos metric displayed a significant decrease in Chironomidae and increase in EPT concurrently, indicating a shift towards more acid-sensitive taxa. Weak trends in several of the biological metrics indicated that recovery in these lakes has been impeded. Results of this study indicate that the Mann-Kendall and van Belle and Hughes trend tests are useful statistical tools to evaluate long-term patterns in biological data.
引用
收藏
页码:7175 / 7187
页数:13
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