Big data for forecasting the impacts of global change on plant communities-Reference-Cited by-同舟云学术

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Big data for forecasting the impacts of global change on plant communities

Published:2016-08-30 Issue:1 Volume:26 Page:6-17
ISSN:1466-822X
Container-title:Global Ecology and Biogeography
language:en
Short-container-title:Global Ecol. Biogeogr.

Author:

Franklin Janet¹,Serra-Diaz Josep M.¹²,Syphard Alexandra D.³,Regan Helen M.⁴

Affiliation:

1. School of Geographical Sciences and Urban Planning; Arizona State University; Tempe AZ 85287-5302 USA

2. Harvard Forest, Harvard University; Petersham MA 01366 USA

3. Conservation Biology Institute; La Mesa CA 91941 USA

4. Department of Biology; University of California; Riverside CA 92521 USA

Funder

National Science Foundation grants

Publisher

Wiley

Subject

Ecology,Ecology, Evolution, Behavior and Systematics,Global and Planetary Change

Link

http://onlinelibrary.wiley.com/wol1/doi/10.1111/geb.12501/fullpdf

Reference95 articles.

1. CTFS-ForestGEO: a worldwide network monitoring forests in an era of global change;Anderson-Teixeira;Global Change Biology,2015

2. Why is the choice of future climate scenarios for species distribution modelling important?;Beaumont;Ecology Letters,2008

3. Spatial bias in the GBIF database and its effect on modeling species’ geographic distributions;Beck;Ecological Informatics,2014

4. A specialist's audit of aggregated occurrence records: an ‘aggregator's’ perspective;Belbin;ZooKeys,2013

5. Characterising performance of environmental models;Bennett;Environmental Modelling and Software,2013

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