3 Works

Data from: Remotely sensed data informs red list evaluations and conservation priorities in southeast Asia

Binbin V. Li, Alice C. Hughs, Clinton N. Jenkins, Natalia Ocampo-Peñuela, Stuart L. Pimm & Alice C. Hughes
The IUCN Red List has assessed the global distributions of the majority of the world’s amphibians, birds and mammals. Yet these assessments lack explicit reference to widely available, remotely-sensed data that can sensibly inform a species’ risk of extinction. Our first goal is to add additional quantitative data to the existing standardised process that IUCN employs. Secondly, we ask: do our results suggest species of concern—those at considerably greater risk than hitherto appreciated? Thirdly, these...

Data from: Time-lag in responses of birds to Atlantic Forest fragmentation: restoration opportunity and urgency

Alexandre Uezu & Jean Paul Metzger
There are few opportunities to evaluate the relative importance of landscape structure and dynamics upon biodiversity, especially in highly fragmented tropical landscapes. Conservation strategies and species risk evaluations often rely exclusively on current aspects of landscape structure, although such limited assumptions are known to be misleading when time-lag responses occur. By relating bird functional-group richness to forest patch size and isolation in ten-year intervals (1956, 1965, 1978, 1984, 1993 and 2003), we revealed that birds...

Data from: The impacts of oil palm on recent deforestation and biodiversity loss

Varsha Vijay, Stuart L. Pimm, Clinton N. Jenkins & Sharon J. Smith
Palm oil is the most widely traded vegetable oil globally, with demand projected to increase substantially in the future. Almost all oil palm grows in areas that were once tropical moist forests, some of them quite recently. The conversion to date, and future expansion, threatens biodiversity and increases greenhouse gas emissions. Today, consumer pressure is pushing companies toward deforestation-free sources of palm oil. To guide interventions aimed at reducing tropical deforestation due to oil palm,...

Registration Year

  • 2016

Resource Types

  • Dataset


  • Instituto de Pesquisas Ecológicas
  • Duke University
  • Union of Concerned Scientists
  • Chinese Academy of Sciences
  • University of Sao Paulo