Evidence map›Paper›PMID 31161689›Full record

ArticleConservation biology : the journal of the Society for Conservation Biology2020

Scale dependency of conservation outcomes in a forest-offsetting scheme.

Marta Lisli Giannichi, Yoni Gavish, Timothy R Baker, Martin Dallimer, Guy Ziv

Abstract read
In one paragraph

Article in Conservation biology : the journal of the Society for Conservation Biology, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

1 citing paper in PubMed.

  1. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

5 authors.

Marta Lisli GiannichiSchool of Geography, University of Leeds, Garstang North, Leeds, LS2 9JT, U.K.ORCID 0000-0001-8083-001X
Yoni GavishSchool of Geography, University of Leeds, Garstang North, Leeds, LS2 9JT, U.K.
Timothy R BakerSchool of Geography, University of Leeds, Garstang North, Leeds, LS2 9JT, U.K.
Martin DallimerSustainability Research Institute, School of Earth and Environment, Maths/Earth and Environment Building, University of Leeds, Leeds, LS2 9JT, U.K.ORCID 0000-0001-8120-3309
Guy ZivSchool of Geography, University of Leeds, Garstang North, Leeds, LS2 9JT, U.K.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Offset schemes help avoid or revert habitat loss through protection of existing habitat (avoided deforestation), through the restoration of degraded areas (natural regrowth), or both. The spatial scale of an offset scheme may influence which of these 2 outcomes is favored and is an important aspect of the scheme's design. However, how spatial scale influences the trade-offs between the preservation of existing habitat and restoration of degraded areas is poorly understood. We used the largest forest offset scheme in the world, which is part of the Brazilian Forest Code, to explore how implementation at different spatial scales may affect the outcome in terms of the area of avoided deforestation and area of regrowth. We employed a numerical simulation of trade between buyers (i.e., those who need to offset past deforestation) and sellers (i.e., landowners with exceeding native vegetation) in the Brazilian Amazon to estimate potential avoided deforestation and regrowth at different spatial scales of implementation. Allowing offsets over large spatial scales led to an area of avoided deforestation 12 times greater than regrowth, whereas restricting offsets to small spatial scales led to an area of regrowth twice as large as avoided deforestation. The greatest total area (avoided deforestation and regrowth combined) was conserved when the spatial scale of the scheme was small, especially in locations that were highly deforested. To maximize conservation gains from avoided deforestation and regrowth, the design of the Brazilian forest-offset scheme should focus on restricting the spatial scale in which offsets occur. Such a strategy could help ensure conservation benefits are localized and promote the recovery of degraded areas in the most threatened forest landscapes.

Indexed as

Conservation of Natural ResourcesForestsBrazilEcosystemAmazonAmazoníaavoided deforestationcompensacionesconservaciónconservationdeforestación evitadaescala espacialoffsetsprivate landsrestauraciónrestorationspatial scaletierras privadas亚马逊保护恢复私有土地空间尺度补偿避免森林采伐

Identifiers

PMID31161689
PMCPMC7028087

What OpenQuestion holds

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LicenceCC BY
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.