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Heck N, Goldberg L, Andradi-Brown DA, Campbell A, Narayan S, Ahmadia GN, Lagomasino D. Global drivers of mangrove loss in protected areas. CONSERVATION BIOLOGY : THE JOURNAL OF THE SOCIETY FOR CONSERVATION BIOLOGY 2024:e14293. [PMID: 38766900 DOI: 10.1111/cobi.14293] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 01/06/2022] [Revised: 01/11/2024] [Accepted: 03/05/2024] [Indexed: 05/22/2024]
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.
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Affiliation(s)
- Nadine Heck
- Department of Coastal Studies, East Carolina University, Greenville, North Carolina, USA
| | - Liza Goldberg
- Department of Earth System Science, Stanford University, Stanford, California, USA
| | | | - Anthony Campbell
- Biospheric Sciences Laboratory, National Aeronautics and Space Administration (NASA) Goddard Space Flight Center, Greenbelt, Maryland, USA
- Goddard Earth Sciences Technology and Research II, University of Maryland, Baltimore County, Baltimore, Maryland, USA
| | - Siddharth Narayan
- Department of Coastal Studies, East Carolina University, Greenville, North Carolina, USA
| | - Gabby N Ahmadia
- Ocean Conservation, World Wildlife Fund, Washington, DC, USA
| | - David Lagomasino
- Department of Coastal Studies, East Carolina University, Greenville, North Carolina, USA
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Langhammer PF, Bull JW, Bicknell JE, Oakley JL, Brown MH, Bruford MW, Butchart SHM, Carr JA, Church D, Cooney R, Cutajar S, Foden W, Foster MN, Gascon C, Geldmann J, Genovesi P, Hoffmann M, Howard-McCombe J, Lewis T, Macfarlane NBW, Melvin ZE, Merizalde RS, Morehouse MG, Pagad S, Polidoro B, Sechrest W, Segelbacher G, Smith KG, Steadman J, Strongin K, Williams J, Woodley S, Brooks TM. The positive impact of conservation action. Science 2024; 384:453-458. [PMID: 38662833 DOI: 10.1126/science.adj6598] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/09/2023] [Accepted: 03/14/2024] [Indexed: 05/03/2024]
Abstract
Governments recently adopted new global targets to halt and reverse the loss of biodiversity. It is therefore crucial to understand the outcomes of conservation actions. We conducted a global meta-analysis of 186 studies (including 665 trials) that measured biodiversity over time and compared outcomes under conservation action with a suitable counterfactual of no action. We find that in two-thirds of cases, conservation either improved the state of biodiversity or at least slowed declines. Specifically, we find that interventions targeted at species and ecosystems, such as invasive species control, habitat loss reduction and restoration, protected areas, and sustainable management, are highly effective and have large effect sizes. This provides the strongest evidence to date that conservation actions are successful but require transformational scaling up to meet global targets.
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Affiliation(s)
- Penny F Langhammer
- Re:wild, PO Box 129, Austin, TX 78767, USA
- Arizona State University, School of Life Sciences, PO Box 874501, Tempe, AZ 85287, USA
| | - Joseph W Bull
- Department of Biology, University of Oxford, 11a Mansfield Rd, Oxford OX1 3SZ, UK
- Durrell Institute of Conservation and Ecology (DICE), School of Anthropology and Conservation, University of Kent, Canterbury CT2 7NR, UK
- Wild Business Ltd, London, UK
| | - Jake E Bicknell
- Durrell Institute of Conservation and Ecology (DICE), School of Anthropology and Conservation, University of Kent, Canterbury CT2 7NR, UK
| | | | | | - Michael W Bruford
- School of Biosciences and Sustainable Places Research Institute, Cathays Park, Cardiff CF10 3AX, UK
- IUCN SSC Conservation Genetics Specialist Group, 28 rue Mauverney, 1196 Gland, Switzerland
| | - Stuart H M Butchart
- BirdLife International, David Attenborough Building, Pembroke Street, Cambridge CB2 3QZ, UK
- Department of Zoology, University of Cambridge, Downing St., Cambridge CB2 3EJ, UK
| | - Jamie A Carr
- Leverhulme Centre for Anthropocene Biodiversity, University of York, York YO10 15DD, UK
- Department of Environment and Geography, University of York, York YO10 5DD, UK
- IUCN SSC Climate Change Specialist Group, 28 rue Mauverney, 1196 Gland, Switzerland
| | - Don Church
- Re:wild, PO Box 129, Austin, TX 78767, USA
| | - Rosie Cooney
- CEESP/SSC IUCN Sustainable Use and Livelihoods Specialist Group, 28 rue Mauverney, 1196 Gland, Switzerland
- Fenner School of Environment and Society, Australian National University, ACT 2601, Australia
| | | | - Wendy Foden
- IUCN SSC Climate Change Specialist Group, 28 rue Mauverney, 1196 Gland, Switzerland
- South African National Parks, Cape Research Centre, Tokai, Cape Town, 7966, South Africa
- FitzPatrick Institute of African Ornithology, Rondebosch, Cape Town, 7701, South Africa
- Global Change Biology Group, Department of Botany and Zoology, Stellenbosch University, Stellenbosch, South Africa
| | | | - Claude Gascon
- The Global Environment Facility, 1818 H Street NW, Washington, DC 20433, USA
| | - Jonas Geldmann
- Department of Zoology, University of Cambridge, Downing St., Cambridge CB2 3EJ, UK
- Center for Macroecology, Evolution and Climate, GLOBE Institute, University of Copenhagen, Universitetsparken 15, 2100 Copenhagen E, Denmark
| | - Piero Genovesi
- Institute for Environmental Protection and Research, Via Vitaliano Brancati 48, 00144 Rome, Italy
- IUCN SSC Invasive Species Specialist Group, 00144 Rome, Italy
- Centre for Invasion Biology, Department of Botany and Zoology, Stellenbosch University, Stellenbosch, South Africa
| | - Michael Hoffmann
- IUCN Species Survival Commission, 28 rue Mauverney, 1196 Gland, Switzerland
- Zoological Society of London, Regent's Park, London NW1 4RY, UK
| | - Jo Howard-McCombe
- School of Biosciences, Cardiff University, The Sir Martin Evans Building, Museum Avenue, Cardiff, CF10 3AX, UK
- RZSS WildGenes, Conservation Department, Royal Zoological Society of Scotland, Edinburgh EH12 6TS, UK
| | - Tiffany Lewis
- Arizona State University, 427 E. Tyler Mall, Tempe, AZ 85281, USA
| | | | - Zoe E Melvin
- School of Biosciences, Cardiff University, The Sir Martin Evans Building, Museum Avenue, Cardiff, CF10 3AX, UK
- Bangor University, School of Natural Sciences, Deiniol Road, Bangor, Gwynedd, Wales LL57 2UW, UK
| | | | - Meredith G Morehouse
- LLaves: Keys to Bilingual Conservation, LLC, 346 Mayberry Hill Road, Casco, Maine 04015, USA
| | - Shyama Pagad
- University of Auckland, Auckland 1072, New Zealand
| | - Beth Polidoro
- IUCN Species Survival Commission, 28 rue Mauverney, 1196 Gland, Switzerland
- Arizona State University, 4701 W. Thunderbird Rd, Glendale, AZ 85382, USA
| | | | - Gernot Segelbacher
- IUCN SSC Conservation Genetics Specialist Group, 28 rue Mauverney, 1196 Gland, Switzerland
- University Freiburg, Tennenbacher Str. 4, 79106 Freiburg, Germany
| | - Kevin G Smith
- IUCN, The David Attenborough Building, Pembroke St, Cambridge CB2 3QZ, UK
| | - Janna Steadman
- Durrell Institute of Conservation and Ecology (DICE), School of Anthropology and Conservation, University of Kent, Canterbury CT2 7NR, UK
| | - Kyle Strongin
- Arizona State University, 800 S. Cady Mall, Tempe, AZ 85281, USA
| | - Jake Williams
- Imperial College London, Silwood Park, Ascot SL5 7PY, UK
| | - Stephen Woodley
- IUCN World Commission on Protected Areas, 64 Juniper Road, Chelsea, Quebec J9B 1T3, Canada
| | - Thomas M Brooks
- IUCN, 28 rue Mauverney, 1196 Gland, Switzerland
- World Agroforestry Center, University of The Philippines Los Baños, Laguna, Philippines
- Institute for Marine & Antarctic Studies, University of Tasmania, Hobart, Australia
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Wensu Z, Wenjuan W, Fenfen Z, Wen C, Li L. The effects of greenness exposure on hypertension incidence among Chinese oldest-old: a prospective cohort study. Environ Health 2022; 21:66. [PMID: 35820901 PMCID: PMC9277785 DOI: 10.1186/s12940-022-00876-6] [Citation(s) in RCA: 6] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/03/2021] [Accepted: 06/27/2022] [Indexed: 06/13/2023]
Abstract
BACKGROUND Although the oldest-old (those aged over 80 years) are vulnerable to environmental factors and have the highest prevalence of hypertension, studies focusing on greenness exposure and the development of hypertension among them are insufficient. The aim of this study was to explore the association between residential greenness and hypertension in the oldest-old population. METHODS This cohort study included data from the Chinese Longitudinal Healthy Longevity Survey (CLHLS). The oldest-old were free of hypertension at baseline (2008), and hypertension events were assessed by follow-up surveys in 2011, 2014, and 2018. The one-year averages of the normalized difference vegetation index (NDVI) and enhanced vegetation index (EVI) at 500-m buffer before the interview year of incident hypertension or last censoring interview were collected at the level of 652 residential units (district or county). The linear or nonlinear association between greenness and hypertension incidence was analyzed using the Cox proportional hazards model with penalized splines. The linear links between greenness and hypertension incidence were determined using the Cox proportional hazards model included a random effect term. RESULTS Among 5253 participants, the incidence rate of hypertension was 7.25 (95% confidence interval [CI]: 6.83-7.67) per 100 person-years. We found a nonlinear association between greenness exposure and hypertension risk, and the exposure-response curve showed that 1 change point existed. We examined the linear effect of greenness on hypertension by categorizing the NDVI/EVI into low and high-level exposure areas according to the change point. We found more notable protective effects of each 0.1-unit increase in greenness on hypertension incidence for participants living in the high-level greenness areas (hazard ratio (HR) = 0.60; 95% CI: 0.53-0.70 for NDVI; HR = 0.46; 95% CI: 0.37-0.57 for EVI). In contrast, no significant influence of greenness exposure on hypertension risk was found for participants living in the low-level greenness areas (HR = 0.77; 95% CI: 0.38-1.55 for NDVI; HR = 0.73; 95% CI: 0.33-1.63 for EVI). CONCLUSIONS Greenness exposure is nonlinearly associated with hypertension risk among the oldest-old, presenting its relationship in an inverse "U-shaped" curve. Greenness is a protective factor that decreases the risk of hypertension.
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Affiliation(s)
- Zhou Wensu
- Department of Medical Statistics, School of Public Health, Sun Yat-sen University, Guangzhou, China
| | - Wang Wenjuan
- Department of Medical Statistics, School of Public Health, Sun Yat-sen University, Guangzhou, China
| | - Zhou Fenfen
- Department of Medical Statistics, School of Public Health, Sun Yat-sen University, Guangzhou, China
| | - Chen Wen
- Department of Medical Statistics, School of Public Health, Sun Yat-sen University, Guangzhou, China.
| | - Ling Li
- Department of Medical Statistics, School of Public Health, Sun Yat-sen University, Guangzhou, China.
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