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Lessons from Research for Sustainable Development and Conservation in Borneo

Name: Lessons from Research for Sustainable Development and Conservation in Borneo
Creator: William Laurance
Keywords: 0301 basic medicine, 0303 health sciences, pulpwood plantations, Malaysia, selective logging, 15. Life on land, oil palm, 12. Responsible consumption, 03 medical and health sciences, climate change

descriptionPublicationkeyboard_double_arrow_right Article , Journal 11 Dec 2016 Australia Publisher:MDPI AGJournal:Forests, volume 7, page 314 (eissn: 1999-4907,

Authors: William Laurance;

doi: 10.3390/f7120314

handle: 10088/30314

Lessons from Research for Sustainable Development and Conservation in Borneo

- Summary
- Subjects
- Metrics

Abstract

I present a brief synopsis of six key lessons provided by research on forest ecology and conservation, focusing particularly on the Malaysian state of Sabah in northeastern Borneo. These lessons are generalizable to other contexts, especially for tropical developing nations, where surviving forests are under growing pressures from a range of human activities.

Country

Australia

Related Organizations

James Cook University
Australia
James Cook University
Australia

Keywords

pulpwood plantations, Malaysia, selective logging, oil palm, climate change, Borneo, protected areas, QK900-989, Plant ecology, land-use planning, Sabah

Impact byBIP!

	citations This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).	7
	popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.	Top 10%
	influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).	Average
	impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.	Average