7
IRUS Total
Downloads
  Altmetric

Assessing variation in the effectiveness of IUCN protected area categorisation. What remotely sensed forest integrity and human modification reveals across the major tropical forest biomes

File Description SizeFormat 
iucnPAs.pdfPublished version3.19 MBAdobe PDFView/Open
Title: Assessing variation in the effectiveness of IUCN protected area categorisation. What remotely sensed forest integrity and human modification reveals across the major tropical forest biomes
Authors: Hirons, S
Matilda Collins, C
Singh, M
Item Type: Journal Article
Abstract: One of the major threats facing protected areas (PAs) in hyper-diverse tropical forest ecosystems is human modification of their natural habitats. With a focus on forested PAs situated across three of the world’s major tropical regions, the Congo Basin, insular Indonesia Malaysia and the Tropical Andes. We analyse their representation of identified ecoregions and remote sensing data of human modification and forest integrity levels within PAs and used a generalized linear modelling approach to estimate the influences on these pressures, with a particular focus on IUCN management categorisation, PA size, and geographic location. Representation of key ecoregions varied with 7%, 11% and 22% of named ecoregions being unprotected within each major region. Overall, the IUCN management category allocation played a minor role in influencing the modification and forest integrity observed within PAs. Instead, PA size was the most important determinant of these variables across the different regions under consideration. This work provides further evidence to suggest that the assignment of PAs to IUCN categories in their current form is not interpreted consistently across different regions and does not correspond to the conservation benefits expected to be conferred by this categorisation.
Issue Date: Oct-2022
Date of Acceptance: 17-Aug-2022
URI: http://hdl.handle.net/10044/1/99279
DOI: 10.1016/j.ecolind.2022.109337
ISSN: 1470-160X
Publisher: Elsevier BV
Start Page: 1
End Page: 11
Journal / Book Title: Ecological Indicators
Volume: 143
Copyright Statement: © 2022 Published by Elsevier Ltd. This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/).
Keywords: Ecology
03 Chemical Sciences
05 Environmental Sciences
06 Biological Sciences
Publication Status: Published
Article Number: 109337
Online Publication Date: 2022-08-22
Appears in Collections:Centre for Environmental Policy
Faculty of Natural Sciences



This item is licensed under a Creative Commons License Creative Commons