Species distribution models predict temporal but not spatial variation in forest growth-Reference-Cited by-同舟云学术

Species distribution models predict temporal but not spatial variation in forest growth

Published:2017-03-18 Issue:8 Volume:7 Page:2585-2594
ISSN:2045-7758
Container-title:Ecology and Evolution
language:en
Short-container-title:Ecol Evol

Author:

van der Maaten Ernst¹²,Hamann Andreas³,van der Maaten-Theunissen Marieke¹,Bergsma Aldo⁴,Hengeveld Geerten⁵,van Lammeren Ron⁴,Mohren Frits²,Nabuurs Gert-Jan⁵,Terhürne Renske⁴,Sterck Frank²

Affiliation:

1. Institute of Botany and Landscape Ecology; University of Greifswald; Greifswald Germany

2. Forest Ecology and Forest Management Group; Centre for Ecosystem Studies; Wageningen University; Wageningen The Netherlands

3. Department of Renewable Resources; University of Alberta; Edmonton AB Canada

4. Laboratory of Geo-Information Science and Remote Sensing; Wageningen University; Wageningen The Netherlands

5. Alterra; Wageningen University and Research Centre; Wageningen The Netherlands

Funder

Natural Sciences and Engineering Research Council of Canada

Seventh Framework Programme

Sixth Framework Programme

European Cooperation in Science and Technology

Alexander von Humboldt-Stiftung

Dutch Ministry of Economic Affairs, Agriculture and Innovation

Publisher

Wiley

Subject

Nature and Landscape Conservation,Ecology,Ecology, Evolution, Behavior and Systematics

Reference48 articles.

1. A global overview of drought and heat-induced tree mortality reveals emerging climate change risks for forests;Allen;Forest Ecology and Management,2010

2. Impacts of climate change on natural forest productivity - Evidence since the middle of the 20th century;Boisvenue;Global Change Biology,2006

3. Forests and climate change: Forcings, feedbacks, and the climate benefits of forests;Bonan;Science,2008

4. Forecasting the effects of global warming on biodiversity;Botkin;BioScience,2007

5. Random forests;Breiman;Machine Learning,2001

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