Journal article

Global Demand for Natural Resources EliminatedMore Than 100,000 Bornean Orangutans

Maria Voigt, Serge A Wich, Marc Ancrenaz, Erik Meijaard, Nicola Abram, Graham L Banes, Gail Campbell-Smith, Laura J d'Arcy, Roberto A Delgado, Andi Erman, David Gaveau, Benoit Goossens, Stefanie Heinicke, Max Houghton, Simon J Husson, Ashley Leiman, Karmele Llano Sanchez, Niel Makinuddin, Andrew J Marshall, Ari Meididit Show all



Unsustainable exploitation of natural resources is increasingly affecting the highly biodiverse tropics [1, 2]. Although rapid developments in remote sensing technology have permitted more precise estimates of land-cover change over large spatial scales [3-5], our knowledge about the effects of these changes on wildlife is much more sparse [6, 7]. Here we use field survey data, predictive density distribution modeling, and remote sensing to investigate the impact of resource use and land-use changes on the density distribution of Bornean orangutans (Pongo pygmaeus). Our models indicate that between 1999 and 2015, half of the orangutan population was affected by logging, deforestation, or ind..

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Awarded by Robert Bosch Foundation

Funding Acknowledgements

We would like to thank the governments of Indonesia and Malaysia, and their forest and environmental departments, for supporting this research. We also thank Herlina Hartanto, Purwo Kuncoro, Isabelle Lackman, Dessy Ratnasari, Adi H. Santana, Eddy Santoso, Iman Sapari, Ahmat Suyoko, Sri Suci Utami-Atmoko, Carel P. van Schaik, and the field staff for collecting and contributing data, as well as all funding organizations for funding these surveys. We further thank Dirk Sarpe and Christian Krause for help with the scripts and implementation on the high-performance cluster. We thank Florian Wolf for help with geographic information system (GIS) programming. We thank Dr. Henrique Pereira and Dr. Isabel M. D. Rosa for helpful discussions and Sergio Marrocoli for providing comments on the manuscript. We thank the Max Planck Society and Robert Bosch Foundation (grant number 32.5.8043.0016.0) for funding and support.