Evidence map›Paper›PMID 38766900›Full record

ArticleConservation biology : the journal of the Society for Conservation Biology2024

Global drivers of mangrove loss in protected areas.

Nadine Heck, Liza Goldberg, Dominic A Andradi-Brown, Anthony Campbell, Siddharth Narayan, Gabby N Ahmadia, David Lagomasino

Abstract read
In one paragraph

Article in Conservation biology : the journal of the Society for Conservation Biology, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

  1. Article
  2. Article
  3. Global drivers of mangrove loss in protected areas.Conservation biology : the journal of the Society for Conservation Biology · 2024
    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

7 authors.

Nadine HeckDepartment of Coastal Studies, East Carolina University, Greenville, North Carolina, USA.ORCID 0000-0003-4658-418X
Liza GoldbergDepartment of Earth System Science, Stanford University, Stanford, California, USA.
Dominic A Andradi-BrownOcean Conservation, World Wildlife Fund, Washington, DC, USA.
Anthony CampbellBiospheric Sciences Laboratory, National Aeronautics and Space Administration (NASA) Goddard Space Flight Center, Greenbelt, Maryland, USA.
Siddharth NarayanDepartment of Coastal Studies, East Carolina University, Greenville, North Carolina, USA.
Gabby N AhmadiaOcean Conservation, World Wildlife Fund, Washington, DC, USA.
David LagomasinoDepartment of Coastal Studies, East Carolina University, Greenville, North Carolina, USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Despite 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.

Indexed as

Conservation of Natural ResourcesHuman ActivitiesRhizophoraceaeWetlandscategorías de manejo de la UINcoastalconservación marinaconservation outcomescosteroeficiencia del manejoIUCN management categoriesmanagement effectivenessmarine conservationresultados de conservación

Identifiers

PMID38766900
PMCPMC11589005

What OpenQuestion holds

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LicenceCC BY-NC
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.