2010
DOI: 10.1016/j.tree.2010.06.016
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Long-term datasets in biodiversity research and monitoring: assessing change in ecological communities through time

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Cited by 730 publications
(592 citation statements)
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References 55 publications
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“…Magurran et al 2010), even though both observers were skilled and experienced bryologists. A long-term study of similar catchments in Sweden by the same observer found no changes in number of species over a 16-year period (Köchy and Bråkenhielm 2008).…”
Section: Discussionmentioning
confidence: 99%
“…Magurran et al 2010), even though both observers were skilled and experienced bryologists. A long-term study of similar catchments in Sweden by the same observer found no changes in number of species over a 16-year period (Köchy and Bråkenhielm 2008).…”
Section: Discussionmentioning
confidence: 99%
“…One approach is to find and use easily assessed indicators (partial measures or estimator surrogates, sensu Sarkar and Margules 2002). However, selection of such indicators remains predominantly intuitive rather than evidence-based (Howard et al 1997;Lawton et al 1998;Watt 1998;Noss 1999;Dudley et al 2005;Kessler et al 2011;Le et al 2012) and there remains the challenge of distinguishing change that can be attributed to external anthropogenic factors from underlying natural processes (Magurran et al 2010). Candidate indicators such as landscape metrics, remotely-sensed variables, multi-species indices and formulated measures of ecosystem complexity or genetic diversity have found wide application but are of limited practicality in forests (UNEP-CBD 1996; Kapos et al 2001;Delbaere 2002; European Academies' Science Advisory Council (ESAC) 2004; Gregory et al 2005;Duraiappah and Naeem 2005).…”
Section: Introductionmentioning
confidence: 99%
“…Furthermore, accurate assessment of phenophases is likely to vary from recorder to recorder (Sparks et al 2006), whilst human error during field observations could be expected to increase during times of adverse conditions. One method currently being used to overcome such problems is citizen science (Magurran et al 2010), such as the UK Phenological Network (http://www.naturescalender. org.uk), where the high number of records generated is likely to outweigh recorder error.…”
Section: Introductionmentioning
confidence: 99%