Communications Earth & Environment, Journal Year: 2025, Volume and Issue: 6(1)
Published: Jan. 28, 2025
Language: Английский
Environmental Microbiome, Journal Year: 2023, Volume and Issue: 18(1)
Published: June 1, 2023
Abstract Background Microbes have fundamental roles underpinning the functioning of our planet, they are involved in global carbon and nutrient cycling, support existence multicellular life. The mangrove ecosystem is limited if not for microbial cycling nutrients, life this harsh environment would likely exist. mangroves Southeast Asia oldest most biodiverse on serve vital helping to prevent shoreline erosion, act as nursery grounds many marine species sequester carbon. Despite these recognised benefits importance microbes ecosystems, studies examining microbiome scarce.cxs Results Here we examine Avicenia alba Sonneratia identify a core 81 taxa. A further eight taxa ( Pleurocapsa , Tunicatimonas Halomonas Marinomonas Rubrivirga Altererythrobacte Lewinella, Erythrobacter ) were found be significantly enriched tree compartments suggesting key microbiome. majority those identified or production compounds that promote host survival. Conclusion identification furthers understanding biodiversity, particularly where such rare. different communities between sampling sites suggests environmental filtering occurring, with hosts selecting consortia suitable survival their immediate environment. As climate change advances, predicted change, however, without knowing what currently there, it impossible determine magnitude any deviations. This work provides an important baseline against which community can measured.
Language: Английский
Citations
32
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
Citations
27
Global Ecology and Biogeography, Journal Year: 2024, Volume and Issue: 33(8)
Published: May 9, 2024
Abstract Aim Tidal marsh ecosystems are heavily impacted by human activities, highlighting a pressing need to address gaps in our knowledge of their distribution. To better understand the global distribution and changes tidal extent, identify opportunities for conservation restoration, it is critical develop spatial base occurrence. Here, we globally consistent map year 2020 at 10‐m resolution. Location Global. Time period 2020. Major taxa studied marshes. Methods location world's marshes resolution, applied random forest classification model Earth observation data from We trained with reference dataset developed support mapping coastal ecosystems, predicted between 60° N S. validated using standard accuracy assessment methods, final having an overall score 0.85. Results estimate extent be 52,880 km 2 (95% CI: 32,030 59,780 ) distributed across 120 countries territories. centred temperate Arctic regions, nearly half occurring Northern Atlantic (45%) region. At national scale, over third (18,510 ; 11,200–20,900) occurs within USA. Main conclusions Our analysis provides most detailed on date shows that occur more greater proportion coastline than previous studies. fills major gap regarding baseline needed measuring estimating value terms ecosystem services.
Language: Английский
Citations
16
Nature Reviews Earth & Environment, Journal Year: 2024, Volume and Issue: 5(7), P. 538 - 552
Published: July 2, 2024
Language: Английский
Citations
14
Frontiers in Environmental Science, Journal Year: 2024, Volume and Issue: 12
Published: Feb. 7, 2024
Mangrove forests are broadly recognized to support a variety of ecosystem services on coastal margins worldwide. These may significantly contribute the wellbeing millions people, but there is limited information about their importance in Global South. This study mapped for first time flow Brazilian Amazon mangroves, which represent over 700,000 ha mangroves country. We also identified spatial changes across landscapes, including urban, agricultural upland areas and natural protected areas. Our matrix model indicated that waterbodies, sandflats mudflats critical multiple services, provisioning (fish, mariculture), cultural (historical intrinsic value, research, education), regulation (climate, flood control, nursery, breeding grounds). Social economic context, occupation, education, residence important factors influencing villagers identify could be compared other marine reserves South America have similar management resources. Adjacent habitats such as croplands many would otherwise obtained from suggesting protecting these connected supporting small-scale agriculture help avoid deforestation mangrove forests. As 80% country managed extractive communities with comparable socio-economic characteristics, we provide foundation development replication assessments cover an area 1 million hectares. work highlights providing food, increase local climate resilience villages coast.
Language: Английский
Citations
12
Nature Communications, Journal Year: 2024, Volume and Issue: 15(1)
Published: March 4, 2024
Abstract The Legal Amazon of Brazil holds vast mangrove forests, but a lack awareness their value has prevented inclusion into results-based payments established by the United Nations Framework Convention on Climate Change. Based an inventory from over 190 forest plots in mangroves, we estimate total ecosystem carbon stocks 468 ± 67 Megagrams (Mg) ha −1 ; which are significantly higher than Brazilian upland biomes currently included national offset financing. Conversion mangroves results potential emissions 1228 Mg CO 2 e , 3-fold land use conversion rainforest. Our work provides foundation for Brazil’s intended Nationally Determined Contribution, and here show that halting deforestation would generate avoided 0.9 0.3 Teragrams (Tg) yr is equivalent to annual accumulation 82,400 secondary forests.
Language: Английский
Citations
12
Nature Ecology & Evolution, Journal Year: 2024, Volume and Issue: 8(2), P. 239 - 250
Published: Jan. 3, 2024
Language: Английский
Citations
11
The Science of The Total Environment, Journal Year: 2024, Volume and Issue: 915, P. 170052 - 170052
Published: Jan. 12, 2024
Language: Английский
Citations
11
Scientific Reports, Journal Year: 2024, Volume and Issue: 14(1)
Published: March 23, 2024
Abstract Mangroves are amongst the richest ecosystems in world providing valuable goods and services to millions of people while enhancing resilience coastal communities against climate change induced hazards, especially island nations. However, these mangroves severely affected by many anthropogenic activities. Therefore, understanding spatial variability nations is highly essential events ongoing climatic change. Thus, this study assessed use remote sensing techniques GIS map monitor mangrove cover at selected sites, namely Le Morne Ferney, on tropical Mauritius. Freely available 2013 SPOT-5 2023 Sentinel 2A images were retrieved processed using ArcGIS Pro tools SNAP; mapped based Google Earth historical imagery ground truthing respective sites. Following application vegetation indices, GLCM PCA analysis, mosaicked classified Random Trees algorithm. Kappa values all 90 s; showed a significant increase over decadal scale with main class from mudflat mangroves. This demonstrates how geo-spatial crucial for monitoring as they provide spatially explicit time sensitive information. Decision makers, researchers, relevant stakeholders can utilize data bolster tailored mitigation adaptation strategies specific thereby
Language: Английский
Citations
11
Journal of Geovisualization and Spatial Analysis, Journal Year: 2024, Volume and Issue: 8(1)
Published: May 13, 2024
Abstract Mangroves, integral to ecological balance and socioeconomic well-being, are facing a concerning decline worldwide. Remote sensing is essential for monitoring their evolution, yet its effectiveness hindered in developing countries by economic technical constraints. In addressing this issue, paper introduces MANGLEE (Mangrove Mapping Monitoring Tool Google Earth Engine), an accessible, adaptable, multipurpose tool designed address the challenges associated with sustainable mangrove management. Leveraging remote data, machine learning techniques (Random Forest), change detection methods, consists of three independent modules. The first module acquires, processes, calculates indices optical Synthetic Aperture Radar (SAR) enhancing tracking capabilities presence atmospheric interferences. second employs Random Forest classify non-mangrove areas, providing accurate binary maps. third identifies changes between two-time maps, categorizing alterations as losses or gains. To validate MANGLEE’s effectiveness, we conducted case study mangroves Guayas, Ecuador, region historically threatened shrimp farming. Utilizing data from 2018 2022, our findings reveal significant loss over 2900 hectares, 46% occurring legally protected areas. This corresponds rapid expansion Ecuador’s industry, confirming tool’s efficacy despite cloud cover challenges. demonstrates potential valuable monitoring, offering insights conservation, management plans, decision-making processes. Remarkably, it facilitates equal access optimal utilization resources, contributing significantly preservation coastal ecosystems.
Language: Английский
Citations
10