Citizen science data accurately predicts expert-derived species richness at a continental scale when...
Citizen science data accurately predicts expert-derived species richness at a continental scale when sampling thresholds are met
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Publisher
Dordrecht: Springer Netherlands
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Language
English
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Publisher
Dordrecht: Springer Netherlands
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Scope and Contents
Contents
Understanding species richness patterns in time and space is critical for conservation management and ecological analyses. But estimates of species richness for a given place are often imprecise and incomplete, even when derived from expert-validated range maps. The current uptake of citizen science in natural resource management, conservation, and...
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Full title
Citizen science data accurately predicts expert-derived species richness at a continental scale when sampling thresholds are met
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TN_cdi_proquest_journals_2359909222
Permalink
https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_proquest_journals_2359909222
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ISSN
0960-3115
E-ISSN
1572-9710
DOI
10.1007/s10531-020-01937-3
