Testing the effectiveness of the forest integrity assessment: A field‐based tool for estimating the condition of tropical forest
Abstract Global targets to halt biodiversity losses and mitigate climate change will require protecting rainforest beyond current protected area networks, necessitating responsible forest stewardship from a diverse range of companies, communities and private individuals. Robust assessments of forest...
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doaj-c0f4e0993de84222919f1d0b5e4b21512021-06-30T05:05:36ZengWileyEcological Solutions and Evidence2688-83192021-04-0122n/an/a10.1002/2688-8319.12067Testing the effectiveness of the forest integrity assessment: A field‐based tool for estimating the condition of tropical forestAndrew J. Suggitt0Kok Loong Yeong1Anders Lindhe2Agnes Agama3Keith C. Hamer4Glen Reynolds5Jane K. Hill6Jennifer M. Lucey7Department of Geography and Environmental Sciences Northumbria University Newcastle‐upon‐Tyne UKLeverhulme Centre for Climate Change Mitigation (LC3M) Department of Animal and Plant Sciences University of Sheffield Western Bank Sheffield UKHigh Conservation Value Resource Network Frewin Court Oxford UKSouth East Asia Rainforest Research Partnership Danum Valley Field Centre Lahad Datu Sabah MalaysiaSchool of Biology University of Leeds Leeds UKSouth East Asia Rainforest Research Partnership Danum Valley Field Centre Lahad Datu Sabah MalaysiaLeverhulme Centre for Anthropocene Biodiversity, Department of Biology University of York York UKDepartment of Zoology University of Oxford Oxford UKAbstract Global targets to halt biodiversity losses and mitigate climate change will require protecting rainforest beyond current protected area networks, necessitating responsible forest stewardship from a diverse range of companies, communities and private individuals. Robust assessments of forest condition are critical for successful forest management, but many existing techniques are highly technical, time‐consuming, expensive or require specialist knowledge. To make assessment of tropical forests accessible to a wide range of actors, many of whom may be limited by resources or expertise, the High Conservation Value Resource Network (HCVRN), with the SE Asia Rainforest Research Partnership (SEARRP), developed a South East Asian version of the Forest Integrity Assessment (FIA) tool as a rapid (< 1 hour) method of assessing forest condition in the field, where non‐experts respond to 50 questions about characteristics of the local environment while walking a site transect. Here, we examined the effectiveness of this survey tool by conducting ∼ 1000 assessments of forest condition at 16 tropical rainforest sites with varying levels of disturbance in Sabah, Malaysian Borneo. We found good agreement (R‐squared range: 0.50–0.78) between FIA survey scores and independent measures of forest condition, including biodiversity, vegetation structure, aboveground carbon and other key metrics of ecosystem function, indicating that the tool performed well. Although there was variation among assessor responses when surveying the same forest sites, assessors were consistent in their ranking of those sites, and prior forest knowledge had a minimal effect on the FIA scores. Revisions or further training for questions where assessors disagree, for example, on the presence of fauna at a site, could improve consistency. We conclude that the FIA survey tool is a robust method of assessing forest condition, providing a rapid and accessible means of forest conservation assessment. The FIA tool could be incorporated into management practices in a wide range of forest conservation schemes, from sustainability standards, to community forestry and restoration initiatives. The tool will enable more organizations and individuals to understand the conservation value of the forests they manage and to identify areas for targeted improvements.https://doi.org/10.1002/2688-8319.12067ecological integrityforest qualityforest set‐asidehigh carbon stockhuman‐modifiedrapid assessment |
collection |
DOAJ |
language |
English |
format |
Article |
sources |
DOAJ |
author |
Andrew J. Suggitt Kok Loong Yeong Anders Lindhe Agnes Agama Keith C. Hamer Glen Reynolds Jane K. Hill Jennifer M. Lucey |
spellingShingle |
Andrew J. Suggitt Kok Loong Yeong Anders Lindhe Agnes Agama Keith C. Hamer Glen Reynolds Jane K. Hill Jennifer M. Lucey Testing the effectiveness of the forest integrity assessment: A field‐based tool for estimating the condition of tropical forest Ecological Solutions and Evidence ecological integrity forest quality forest set‐aside high carbon stock human‐modified rapid assessment |
author_facet |
Andrew J. Suggitt Kok Loong Yeong Anders Lindhe Agnes Agama Keith C. Hamer Glen Reynolds Jane K. Hill Jennifer M. Lucey |
author_sort |
Andrew J. Suggitt |
title |
Testing the effectiveness of the forest integrity assessment: A field‐based tool for estimating the condition of tropical forest |
title_short |
Testing the effectiveness of the forest integrity assessment: A field‐based tool for estimating the condition of tropical forest |
title_full |
Testing the effectiveness of the forest integrity assessment: A field‐based tool for estimating the condition of tropical forest |
title_fullStr |
Testing the effectiveness of the forest integrity assessment: A field‐based tool for estimating the condition of tropical forest |
title_full_unstemmed |
Testing the effectiveness of the forest integrity assessment: A field‐based tool for estimating the condition of tropical forest |
title_sort |
testing the effectiveness of the forest integrity assessment: a field‐based tool for estimating the condition of tropical forest |
publisher |
Wiley |
series |
Ecological Solutions and Evidence |
issn |
2688-8319 |
publishDate |
2021-04-01 |
description |
Abstract Global targets to halt biodiversity losses and mitigate climate change will require protecting rainforest beyond current protected area networks, necessitating responsible forest stewardship from a diverse range of companies, communities and private individuals. Robust assessments of forest condition are critical for successful forest management, but many existing techniques are highly technical, time‐consuming, expensive or require specialist knowledge. To make assessment of tropical forests accessible to a wide range of actors, many of whom may be limited by resources or expertise, the High Conservation Value Resource Network (HCVRN), with the SE Asia Rainforest Research Partnership (SEARRP), developed a South East Asian version of the Forest Integrity Assessment (FIA) tool as a rapid (< 1 hour) method of assessing forest condition in the field, where non‐experts respond to 50 questions about characteristics of the local environment while walking a site transect. Here, we examined the effectiveness of this survey tool by conducting ∼ 1000 assessments of forest condition at 16 tropical rainforest sites with varying levels of disturbance in Sabah, Malaysian Borneo. We found good agreement (R‐squared range: 0.50–0.78) between FIA survey scores and independent measures of forest condition, including biodiversity, vegetation structure, aboveground carbon and other key metrics of ecosystem function, indicating that the tool performed well. Although there was variation among assessor responses when surveying the same forest sites, assessors were consistent in their ranking of those sites, and prior forest knowledge had a minimal effect on the FIA scores. Revisions or further training for questions where assessors disagree, for example, on the presence of fauna at a site, could improve consistency. We conclude that the FIA survey tool is a robust method of assessing forest condition, providing a rapid and accessible means of forest conservation assessment. The FIA tool could be incorporated into management practices in a wide range of forest conservation schemes, from sustainability standards, to community forestry and restoration initiatives. The tool will enable more organizations and individuals to understand the conservation value of the forests they manage and to identify areas for targeted improvements. |
topic |
ecological integrity forest quality forest set‐aside high carbon stock human‐modified rapid assessment |
url |
https://doi.org/10.1002/2688-8319.12067 |
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