Long-term datasets in biodiversity research and monitoring: assessing change in ecological communities through time

被引:685
作者
Magurran, Anne E. [1 ]
Baillie, Stephen R. [2 ]
Buckland, Stephen T. [3 ]
Dick, Jan McP [4 ]
Elston, David A. [5 ]
Scott, E. Marian [6 ]
Smith, Rognvald I. [4 ]
Somerfield, Paul J. [7 ]
Watt, Allan D. [4 ]
机构
[1] Univ St Andrews, Scottish Oceans Inst, Sch Biol, St Andrews KY16 8LB, Fife, Scotland
[2] The Nunnery, British Trust Ornithol, Thetford IP24 2PU, Norfolk, England
[3] Univ St Andrews, Ctr Res Ecol & Environm Modelling, St Andrews KY16 9LZ, Fife, Scotland
[4] Ctr Ecol & Hydrol, Penicuik EH26 0QB, Midlothian, Scotland
[5] Biomath & Stat Scotland, Aberdeen AB15 8QH, Scotland
[6] Univ Glasgow, Dept Stat, Glasgow G12 8QW, Lanark, Scotland
[7] Plymouth Marine Lab, Plymouth PL1 3DH, Devon, England
关键词
SPECIES ABUNDANCE DISTRIBUTIONS; ASSEMBLAGES; DIVERSITY; PATTERNS; TRENDS; INDICATORS; STABILITY; TURNOVER; DYNAMICS; ALPHA;
D O I
10.1016/j.tree.2010.06.016
中图分类号
Q14 [生态学(生物生态学)];
学科分类号
071012 ; 0713 ;
摘要
The growing need for baseline data against which efforts to reduce the rate of biodiversity loss can be judged highlights the importance of long-term datasets, some of which are as old as ecology itself. We review methods of evaluating change in biodiversity at the community level using these datasets, and contrast whole-community approaches with those that combine information from different species and habitats. As all communities experience temporal turnover, one of the biggest challenges is distinguishing change that can be attributed to external factors, such as anthropogenic activities, from underlying natural change. We also discuss methodological issues, such as false alerts and modifications in design, of which users of these data sets need to be aware.
引用
收藏
页码:574 / 582
页数:9
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