Pulse Brain · Growing Health Evidence Index
Tier 3 — Observational / field trialPeer-reviewed

A method for quantifying biodiversity loss and its application to a 50-year record of deforestation across Madagascar

Allnutt, T. F. et al

Conserv. Lett. 1, 173-181 (2008) · 2008

Read source ↗ All evidence

Summary

Abstract Madagascar is a top global conservation priority for high rates of deforestation and endemism. Deforestation has been extensive, but impacts of forest loss on biodiversity have not been well quantified, especially for nonvertebrates. We use generalized dissimilarity modeling (GDM) as a basis for estimating forest biodiversity remaining at different points in time. We predict that 9.1% of species in Madagascar have been committed to extinction from deforestation between 1950 and 2000. This quantity is higher than losses expected from random deforestation of the same total area, indicating that deforestation has been biased towards environmentally and biologically distinct areas. In contrast to traditional area‐based methods, these techniques allow one to estimate biodiversity loss based on the location of deforestation and thus can inform land‐use policies that aim to minimize biodiversity impacts of deforestation or development.

Outcomes reported

Referenced by Nature Communications British biodiversity scenarios as citation 149; likely supports topic area: biodiversity / conservation. Topics: biodiversity / conservation Evidence type: Research article / other Source report: Nature Communications British biodiversity scenarios Ref#: Nature Communications British biodiversity scenarios #149 Original: Allnutt, T. F. et al. A method for quantifying biodiversity loss and its application to a 50-year record of deforestation across Madagascar. Conserv. Lett. 1, 173-181 (2008).

Theme
Farming systems, soils & land use
Subject
Other / interdisciplinary
Study type
Research
Source type
Peer-reviewed research
Status
Published
Geography
United Kingdom
System type
Other
DOI
10.1111/j.1755-263x.2008.00027.x
Catalogue ID
IRmoq83nfn-5801a2
Pulse AI · ask about this record

Dig deeper with Pulse AI.

Pulse AI has read the whole catalogue. Ask about this record, its theme, or how the findings apply to UK farming and policy — every answer cites the underlying studies.