Projecting Global Biodiversity Indicators under Future Development Scenarios

Author:

Visconti Piero12,Bakkenes Michel3,Baisero Daniele2,Brooks Thomas456,Butchart Stuart H. M.7,Joppa Lucas1,Alkemade Rob38,Di Marco Moreno2,Santini Luca2,Hoffmann Michael49,Maiorano Luigi2,Pressey Robert L.10,Arponen Anni11,Boitani Luigi2,Reside April E.12,van Vuuren Detlef P.313,Rondinini Carlo2

Affiliation:

1. Microsoft Research Computational Science Laboratory; 21 Station Road Cambridge CB1 FB UK

2. Global Mammal Assessment Program, Department of Biology and Biotechnologies, Sapienza University of Rome; Viale dell’Università 32; Rome 00185 Italy

3. PBL; Netherlands Environmental Assessment Agency; PO Box 303 3720 AH Bilthoven The Netherlands

4. IUCN Species Survival Commission; International Union for Conservation of Nature; 28 rue Mauverney CH-1196 Gland Switzerland

5. World Agroforestry Center (ICRAF); University of the Philippines Los Baños; Laguna 4031 Philippines

6. School of Geography and Environmental Studies; University of Tasmania; Hobart TAS 7001 Australia

7. BirdLife International; Wellbrook Court; Cambridge CB3 0NA UK

8. Environmental Systems Analysis Group; Wageningen University; P. O. Box 47 6700 AA Wageningen The Netherlands

9. United Nations Environment Programme World Conservation Monitoring Centre; 219c Huntingdon Road Cambridge CB3 0DL UK

10. Australian Research Council Centre of Excellence for Coral Reef Studies; James Cook University; Townsville QLD 4811 Australia

11. Metapopulation Research Group, Department of Biosciences; University of Helsinki; P.O. Box 65 Helsinki 00014 Finland

12. Centre for Tropical Environmental & Sustainability Sciences; James Cook University; QLD 4811 Australia

13. Copernicus Institute of Sustainable Development, Department of Geosciences; Utrecht University; Heidelberglaan 2 3584 CS Utrecht The Netherlands

Publisher

Wiley

Subject

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

Reference31 articles.

1. Relative contributions of the logging, fiber, oil palm, and mining industries to forest loss in Indonesia;Abood;Conserv. Lett. this is actually still in press despite online since April 2014. doi: 10.1111/conl.12103.,2014

2. GLOBIO3: a framework to investigate options for reducing global terrestrial biodiversity loss;Alkemade;Ecosystems,2009

3. Assessing the accuracy of species distribution models: prevalence, kappa and the true skill statistic (TSS);Allouche;J. Appl. Ecol.,2006

4. Climate change and mammals: evolutionary versus plastic responses;Boutin;Evol. Applic.,2014

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