Distribution and Structure of China–ASEAN’s Intertidal Ecosystems: Insights from High-Precision, Satellite-Based Mapping

Remote Sensing, Год журнала: 2025, Номер 17(1), С. 155 - 155

Опубликована: Янв. 5, 2025

The intertidal ecosystem serves as a critical transitional zone between terrestrial and marine environments, supporting diverse biodiversity essential ecological functions. However, these systems are increasingly threatened by climate change, rising sea levels, anthropogenic impacts. Accurately mapping ecosystems differentiating mangroves, salt marshes, tidal flats remains challenge due to inconsistencies in classification frameworks. Here, we present high-precision approach for using multi-source satellite data, including Sentinel-1, Sentinel-2, Landsat 8/9, integrated with the Google Earth Engine (GEE) platform, enable detailed of zones across China–ASEAN. Our findings indicate total area 73,461 km2 China–ASEAN, an average width 1.16 km. Analyses patch area, abundance, perimeter relationships reveal power-law distribution scaling exponent 1.52, suggesting self-organizing characteristics shaped both natural human pressures. offer foundational data guide conservation management strategies region’s novel perspective propel research on global coastal ecosystems.

Язык: Английский

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Changes in water conservation and a new estimation for its future potential

CATENA, Год журнала: 2025, Номер 250, С. 108761 - 108761

Опубликована: Янв. 29, 2025

Язык: Английский

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Landscape connectivity significantly influences the spatial spillover effects of soil erosion: Based on examples from typical karst watersheds

Ecological Indicators, Год журнала: 2025, Номер 173, С. 113373 - 113373

Опубликована: Март 23, 2025

Язык: Английский

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Integration of GIS and Geomorphic Data to Assess the Impact of Landscape Features on River Water Quality

Natural and Engineering Sciences, Год журнала: 2025, Номер 10(1), С. 290 - 300

Опубликована: Апрель 1, 2025

Assessing the impact of landscape features on river water quality is essential for effective organization. Geographic Information Systems (GIS) serve as valuable tools integrating spatial data, while geomorphic characteristics offer critical insights into hydrological processes that quality. Traditional research has typically lacked a full grasp direct certain land cover in rivers, sometimes overlooking complicated connections between geomorphological elements and characteristics. As result, this intends to combine GIS data assess Water samples were obtained from numerous locations, with characteristics, such pH, dissolved oxygen (DO), turbidity, temperature, perform thorough assessment Geomorphic factors slope, elevation, pattern also included spatially examine their connection indicators. The used comparison indicators Low Relief Areas (LGRA) High (HGRA) investigate changing correlations across areas. findings show varies significantly LGRA HGRA, elevation pattern, having considerable influence This technique illustrates efficiency combining managing protecting ecosystems.

Язык: Английский

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Impact of landscape patterns on river water quality: Spatial-scale effects across an agricultural-urban interface

Ecological Indicators, Год журнала: 2024, Номер 170, С. 113019 - 113019

Опубликована: Дек. 21, 2024

Язык: Английский

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Enhancing river water quality in different seasons through management of landscape patterns at various spatial scales

Journal of Environmental Management, Год журнала: 2024, Номер 373, С. 123653 - 123653

Опубликована: Дек. 10, 2024

Язык: Английский

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