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Global-scale quantitative assessment for biodiversity on forest land use: applying the Global No Net Loss approach

Global-scale quantitative assessment for biodiversity on forest land use: applying the Global No... Here we propose a method to quantitatively assess and examine Global No Net Loss (GNNL) of forest biodiversity on a global scale. The method produces a GNNL index of existing forest and enables future predictions of forest loss under different assumptions. The method tests the feasibility of the GNNL index and enables discussion of policy for future global scale sustainable forest management up to 2050. The GNNL index was estimated from an equation including forest areas per country per forest type (primary forest, secondary forest and plantation forest), diversity of forest ecosystem, and species density. Estimates derived from historical data revealed an approximate 7% reduction in GNNL index between 1990 and 2005. Predictions of the GNNL index until 2050 emphasize the importance of regenerating large portions of forests felled for agricultural land (or other uses) with secondary forests. http://www.deepdyve.com/assets/images/DeepDyve-Logo-lg.png Sustainability Science Springer Journals

Global-scale quantitative assessment for biodiversity on forest land use: applying the Global No Net Loss approach

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References (16)

Publisher
Springer Journals
Copyright
Copyright © 2011 by Integrated Research System for Sustainability Science, United Nations University, and Springer
Subject
Environment; Environmental Management; Climate Change Management and Policy; Environmental Economics; Landscape Ecology; Sustainable Development; Public Health
ISSN
1862-4065
eISSN
1862-4057
DOI
10.1007/s11625-011-0128-2
Publisher site
See Article on Publisher Site

Abstract

Here we propose a method to quantitatively assess and examine Global No Net Loss (GNNL) of forest biodiversity on a global scale. The method produces a GNNL index of existing forest and enables future predictions of forest loss under different assumptions. The method tests the feasibility of the GNNL index and enables discussion of policy for future global scale sustainable forest management up to 2050. The GNNL index was estimated from an equation including forest areas per country per forest type (primary forest, secondary forest and plantation forest), diversity of forest ecosystem, and species density. Estimates derived from historical data revealed an approximate 7% reduction in GNNL index between 1990 and 2005. Predictions of the GNNL index until 2050 emphasize the importance of regenerating large portions of forests felled for agricultural land (or other uses) with secondary forests.

Journal

Sustainability Science – Springer Journals

Published: Mar 29, 2011

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