Global drivers of mangrove loss in protected areas

Author:

Heck Nadine1ORCID,Goldberg Liza2,Andradi‐Brown Dominic A.3,Campbell Anthony45,Narayan Siddharth1,Ahmadia Gabby N.3,Lagomasino David1

Affiliation:

1. Department of Coastal Studies East Carolina University Greenville North Carolina USA

2. Department of Earth System Science Stanford University Stanford California USA

3. Ocean Conservation World Wildlife Fund Washington, DC USA

4. Biospheric Sciences Laboratory National Aeronautics and Space Administration (NASA) Goddard Space Flight Center Greenbelt Maryland USA

5. Goddard Earth Sciences Technology and Research II University of Maryland, Baltimore County Baltimore Maryland USA

Abstract

AbstractDespite increasing efforts and investment in mangrove conservation, mangrove cover continues to decline globally. The extent to which protected area (PA) management effectively prevents mangrove loss globally across differing management objectives and governance types is not well understood. We combined remote sensing data with PA information to identify the extent and the drivers of mangrove loss across PAs with distinct governance types and protection levels based on categories developed by the International Union for Conservation of Nature (IUCN). Mangrove loss due to storms and erosion was prevalent across all governance types and most IUCN categories. However, the extent of human‐driven loss differed across governance types and IUCN categories. Loss was highest in national government PAs. Private, local, shared arrangement, and subnational government agencies had low human‐driven mangrove loss. Human‐driven loss was highest in PAs with the highest level of restrictions on human activities (IUCN category I) due to mangrove conversion to areas for commodity production (e.g., aquaculture), whereas PAs that allowed sustainable resource use (e.g., category VI) experienced low levels of human‐driven mangrove loss. Because category I PAs with high human‐driven loss were primarily governed by national government agencies, conservation outcomes in highly PAs might depend not only on the level of restrictions, but also on the governance type. Mangrove loss across different governance types and IUCN categories varied regionally. Specific governance types and IUCN categories thus seemed more effective in preventing mangrove loss in certain regions. Overall, we found that natural drivers contributed to global mangrove loss across all PAs, whereas human‐driven mangrove loss was lowest in PAs with subnational‐ to local‐level governance and PAs with few restrictions on human activities.

Publisher

Wiley

Reference86 articles.

1. Governance of mangrove restoration and conservation to climate change resilience in Bintan Island;Akbar D.;IOP Conference Series: Earth and Environmental Science,2021

2. Diversity in marine protected area regulations: Protection approaches for locally appropriate marine management;Andradi‐Brown D. A.;Frontiers in Marine Science,2023

3. Differences among protected area governance types matter for conserving vegetation communities at risk of loss and fragmentation;Archibald C. L.;Biological Conservation,2020

4. The value of estuarine and coastal ecosystem services;Barbier E. B.;Ecological Monographs,2011

5. Institutionalising co‐management activities for conservation of forest resources: Evidence from the Sundarban mangrove forest management of Bangladesh;Begum F.;Journal of Environmental Management,2021

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