Mangrove Health: A Review of Functions, Threats, and Challenges Associated with Mangrove Management Practices

Forests, Journal Year: 2023, Volume and Issue: 14(9), P. 1698 - 1698

Published: Aug. 23, 2023

Mangroves stand out as one of the most diverse and biologically significant natural systems in world. Playing critical roles maintaining health productivity coastal ecosystems, mangroves provide a range services functions, including habitat for local fauna flora, food other goods, carbon sequestration, protection from disasters such storm surges erosion. It is also evident that face several threats, which have already led to gradual depletion mangrove areas worldwide. Based on analysis current related historical literature data, this review summarises functions threats challenges associated with management practices. Our findings suggest development, expanded aquaculture, deforestation, climate change, implications eutrophication, diseases, pollution are major factors posing sustainability. We highlight various challenges, land use conflict, lack stringent regulatory actions, inadequate policy government frameworks, community awareness, underlie ineffective management. The implementation inclusive coordinated approaches involving stakeholders different backgrounds interests, governmental non-governmental organisations, academia essential restoration sustainable by adapting mitigation strategies.

Language: Английский

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Remote sensing-based assessment of mangrove ecosystems in the Gulf Cooperation Council countries: a systematic review

Frontiers in Marine Science, Journal Year: 2023, Volume and Issue: 10

Published: Nov. 20, 2023

Mangrove forests in the Gulf Cooperation Council (GCC) countries are facing multiple threats from natural and anthropogenic-driven land use change stressors, contributing to altered ecosystem conditions. Remote sensing tools can be used monitor mangroves, measure mangrove forest-and-tree-level attributes vegetation indices at different spatial temporal scales that allow a detailed comprehensive understanding of these important ecosystems. Using systematic literature approach, we reviewed 58 remote sensing-based assessment articles published 2010 through 2022. The main objectives study were examine extent distribution cover, remotely sensed data sources assess forest/tree attributes. key importance mangroves specific region also examined. cover mainly estimated satellite images (75.2%), using NDVI (Normalized Difference Vegetation Index) derived Landsat (73.3%), IKONOS (15%), Sentinel (11.7%), WorldView (10%), QuickBird (8.3%), SPOT-5 (6.7%), MODIS (5%) others such as PlanetScope. Remotely aerial photographs/images LiDAR (Light Detection Ranging) UAV (Unmanned Aerial Vehicles)/Drones (3.3%) least used. decreased Saudi Arabia, Oman, Bahrain, Kuwait between 1996 2020. However, increased appreciably Qatar remained relatively stable for United Arab Emirates (UAE) over same period, which was attributed government conservation initiatives toward expanding afforestation restoration direct seeding seedling planting. reported country-level results varied studies due lack standardized methodology, differences imagery resolution classification approaches There is need UAV-LiDAR ground truthing validate country-and-local-level data. Urban development-driven coastal reclamation pollution, climate change-driven temperature sea level rise, drought hypersalinity extreme evaporation serious Thus, encourage prioritization schemes support achievement related UN Sustainable Development Goals (13 action, 14 life below water, 15 on land) GCC countries.

Language: Английский

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Mangrove ecosystems in Southeast Asia region: Mangrove extent, blue carbon potential and CO2 emissions in 1996–2020

The Science of The Total Environment, Journal Year: 2024, Volume and Issue: 915, P. 170052 - 170052

Published: Jan. 12, 2024

Language: Английский

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Remote Data for Mapping and Monitoring Coastal Phenomena and Parameters: A Systematic Review

Remote Sensing, Journal Year: 2024, Volume and Issue: 16(3), P. 446 - 446

Published: Jan. 23, 2024

Since 1971, remote sensing techniques have been used to map and monitor phenomena parameters of the coastal zone. However, updated reviews only considered one phenomenon, parameter, data source, platform, or geographic region. No review has offered an overview that can be accurately mapped monitored with data. This systematic was performed achieve this purpose. A total 15,141 papers published from January 2021 June 2023 were identified. The 1475 most cited screened, 502 eligible included. Web Science Scopus databases searched using all possible combinations between two groups keywords: geographical names in areas platforms. demonstrated that, date, many (103) (39) (e.g., coastline land use cover changes, climate change, urban sprawl). Moreover, authors validated 91% retrieved parameters, 39 1158 times (88% combined together other parameters), 75% over time, 69% several compared results each available products. They obtained 48% different methods, their 17% GIS model techniques. In conclusion, addressed requirements needed more effectively analyze employing integrated approaches: they data, merged

Language: Английский

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Uncovering mangrove range limits using very high resolution satellite imagery to detect fine‐scale mangrove and saltmarsh habitats in dynamic coastal ecotones

Remote Sensing in Ecology and Conservation, Journal Year: 2024, Volume and Issue: unknown

Published: May 23, 2024

Abstract Mangroves are important ecosystems for coastal biodiversity, resilience and carbon dynamics that being threatened globally by human pressures the impacts of climate change. Yet, at several geographic range limits in tropical–temperate transition zones, mangrove expanding poleward response to changing macroclimatic drivers. near often grow smaller statures form dynamic, patchy distributions with other habitats, which difficult map using moderate‐resolution (30‐m) satellite imagery. As a result, many these areas missing global distribution maps. To better small, scrub mangroves, we tested Landsat Sentinel (10‐m) against very high resolution (VHR) Planet (3‐m) WorldView (1.8‐m) imagery assessed accuracy machine learning classification approaches discerning current (2022) saltmarsh from habitats rapidly ecotone along east coast Florida, USA. Our aim is (1) quantify mappable differences landscape composition complexity, class dominance spatial properties patches due image resolution; (2) resolve mapping uncertainties region. We found ability leading edge was hampered size extent stands too small detection (50% accuracy). most successful mangroves wetland (84% accuracy), closely followed (82%) (81%). With WorldView, detected 800 ha within Florida range‐limit study area, 35% more than were Planet, 114% 537% Landsat. Higher‐resolution helped reveal additional variability metrics quantifying diversity, configuration connectedness among landscape, patch scales. Overall, VHR improved our can help supplement outdated regional

Language: Английский

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Rapidly Changing Range Limits in a Warming World: Critical Data Limitations and Knowledge Gaps for Advancing Understanding of Mangrove Range Dynamics in the Southeastern USA

Estuaries and Coasts, Journal Year: 2023, Volume and Issue: 46(5), P. 1123 - 1140

Published: May 9, 2023

Abstract Climate change is altering species’ range limits and transforming ecosystems. For example, warming temperatures are leading to the expansion of tropical, cold-sensitive species at expense their cold-tolerant counterparts. In some temperate subtropical coastal wetlands, winters enabling mangrove forest encroachment into salt marsh, which a major regime shift that has significant ecological societal ramifications. Here, we synthesized existing data expert knowledge assess distribution mangroves near rapidly changing in southeastern USA. We used elicitation identify limitations highlight gaps for advancing understanding past, current, future dynamics. Mangroves poleward often shorter, wider, more shrublike compared tropical counterparts grow as tall forests freeze-free, resource-rich environments. The northern USA particularly dynamic climate sensitive due abundance suitable wetland habitat exposure winter temperature extremes much colder than comparable on other continents. Thus, there need methodological refinements improved spatiotemporal regarding changes structure Advancing critical foundation plant such mangroves, it provides basis anticipating preparing cascading effects climate-induced redistribution ecosystems human communities depend ecosystem services.

Language: Английский

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Phytochemical Screening, In Silico Molecular Docking, ADME Properties, and In Vitro Antioxidant, Anticancer, and Antidiabetic Activity of Marine Halophyte Suaeda maritima (L.) Dumort

ACS Omega, Journal Year: 2024, Volume and Issue: 9(10), P. 11200 - 11216

Published: Feb. 29, 2024

Medicinally valuable components derived from natural resources are highly desirable as prospective alternatives to synthetic drugs treat fatal diseases, such cancer and diabetes mellitus.

Language: Английский

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A comparison of forest structural methods of semiarid mangrove species using a field-based approach

Ciencias Marinas, Journal Year: 2024, Volume and Issue: 50

Published: Feb. 27, 2024

The data obtained from field-based forest inventories, mainly basal area and stem density, are relevant for the analysis of aboveground biomass fragmentation. Due to its persistently flooded ground, fieldwork in mangrove forests is time-consuming complicated. Since mangroves sensitive effects climate change, selecting a reliable field method utmost importance. To this end, we analyzed 4 classes: Rhizophora mangle (RM), Laguncularia racemosa (LR), Avicennia germinans (AG), AG shrub. We georeferenced counted all stems within four 0.04 ha (20 × 20 m square). 3 circular plots plotless point-centered quarter (PCQM) based on original square plots. Depending class, PCQM overestimated by up 34% density 21%. plot surveys underestimated –1% –29% –3 –25%. Based results, suggest using (r = 11.28 m) less dense (RM AG) 0.015 6.9 with densities greater than 3,500 stems/ha (LR shrub). advantages approach over that inventories can be quantified quickly do not require minimum number sampling points.

Language: Английский

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Simulation of mangrove suitable habitat in the Guangdong-Hong Kong-Macao Area under the background of climate change

Journal of Environmental Management, Journal Year: 2023, Volume and Issue: 351, P. 119678 - 119678

Published: Dec. 2, 2023

Language: Английский

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Applying the Dempster–Shafer Fusion Theory to Combine Independent Land-Use Maps: A Case Study on the Mapping of Oil Palm Plantations in Sumatra, Indonesia

Remote Sensing, Journal Year: 2025, Volume and Issue: 17(2), P. 234 - 234

Published: Jan. 10, 2025

The remote sensing community benefits from new sensors and easier access to Earth Observation data frequently released land-cover maps. propagation of such independent heterogeneous products offers promising perspectives for various scientific domains the implementation monitoring land-use policies. Yet, it may also confuse end-users when comes identifying most appropriate product address their requirements. Data fusion methods can help combine competing and/or complementary maps in order capitalize on strengths while overcoming limitations. We assessed potential Dempster–Shafer Theory (DST) enhance oil palm mapping Sumatra (Indonesia) by combining four maps, hereafter named DESCALS, IIASA, XU, MAPBIOMAS, according first author’s name or research group that published it. application DST relied steps: (1) a discernment framework, (2) assignment mass functions, (3) rule, (4) decision rule. Our results showed map achieved significantly higher accuracy (Kappa = 0.78) than accurate input 0.724). best result was reached considering probabilities pixels belong OP class associated with DESCALS map. In addition, belief (i.e., confidence) conflict uncertainty) produced evidenced industrial plantations were detected confidence smallholder plantations. Consequently, Kappa values computed locally lower areas dominated Combining contributes producing state-of-the-art continuous information enhanced analysis.

Language: Английский

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