Research on Sustainable Land Use in Alpine Meadow Region Based on Coupled Coordination Degree Model—From Production–Living–Ecology Perspective

Sustainability, Год журнала: 2024, Номер 16(12), С. 5213 - 5213

Опубликована: Июнь 19, 2024

Changes in land use types alpine meadow areas have significant impacts on the ecological environment areas. Exploring change is crucial for management and optimization regions. Thus, it necessary to analyze evolution its drivers regions from a production–living–ecology space (PLES) perspective by using remote sensing data. We first constructed PLES evaluation system Gannan. Then, we analyzed spatial temporal characteristics coupling degree of study area. Finally, driving factors affecting were explored with geodetector. The conclusions reveal that distribution productive spaces large concentrated, while living more decentralized. was mainly concentrated area above 2500 m but below 4000 slope 40° or less. During period, production showed decreasing trend, both increasing trends, primarily occurring at expense space. DEM GDP main PLES. level coordination relatively stable general, showing pattern “high east low west”. provides technical support theoretical basis future planning

Язык: Английский

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Spectral Characteristics and Identification of Degraded Alpine Meadow in Qinghai–Tibetan Plateau Based on Hyperspectral Data

Remote Sensing, Год журнала: 2024, Номер 16(20), С. 3884 - 3884

Опубликована: Окт. 18, 2024

Grassland degradation poses a significant challenge to achieving the Sustainable Development Goals (SDGs) on Qinghai–Tibetan Plateau (QTP). Effective monitoring of grassland is essential for ecological restoration. Hyperspectral technology offers efficient and accurate identification degradation. However, influence observation time, data analysis methods classification techniques accuracy identifying alpine grasslands remains unclear. In this study, spectral reflectance degraded meadow, shrub Tibetan barley was measured from May September 2023 using ground spectrometer in northeastern QTP. First-order derivatives (FDR) continuum removal were applied spectra, characteristic parameters vegetation indices calculated. Support vector machine (SVM), random forest (RF), artificial neural network (ANN) decision tree (DT) then used compare between different months, transformation parameters. The results showed that peaked July, with differences near infrared (NIR) bands meadow meadow. Alpine greater compared other types, especially NIR bands. Data transformations improved absorption characteristics visible Indices such as DVI, RVI NDGI effectively differentiated types. Optimal July achieved FDR ANN or SVM classification. This study provides methodological insights

Язык: Английский

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Global thresholds for the climate-driven effects of vegetation restoration on runoff and soil erosion

Journal of Hydrology, Год журнала: 2024, Номер unknown, С. 132374 - 132374

Опубликована: Ноя. 1, 2024

Язык: Английский

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Unveiling grassland dynamics: trends and drivers of degradation and improvement in the Eurasian Steppe since 2000

GIScience & Remote Sensing, Год журнала: 2024, Номер 61(1)

Опубликована: Ноя. 21, 2024

As the most extensive temperate grassland in world, Eurasian Steppe provides various ecological services that support environment and human well-being. However, degradation has become a serious environmental issue. Most of traditional assessments ignore sensitivity ecosystems to climatic conditions. In response, our study introduces new comprehensive identification framework integrates vegetation growth climate change, using novel long-term monitoring methodology detect improvement. The quantifies area degree improvement long time-series data from 2000 − 2020. Then, driving factors change were analyzed quantitative model. Our findings reveal clear trend was identified, with improved being 4.72 times larger than degraded (221.4 × 104 46.92 km2, respectively). Tibetan Plateau Loess led Simultaneously, surrounding northern Caspian Sea been severely degraded. three areas correspond frigid humid semi-humid grassland, arid semi-arid respectively. Globally, combined effects activities dominated observed improvement, accounting for 77.13% 89.64%, method robust tool detecting across large scales, offering scientific achieving United Nations' Sustainable Development Goals (SDGs), particularly land neutrality (LDN).

Язык: Английский

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Analysing the Spatial and Temporal Characteristics of Ecological Land Encroachment by Cropland Expansion and Its Drivers in Cambodia

Land, Год журнала: 2024, Номер 13(12), С. 2195 - 2195

Опубликована: Дек. 16, 2024

The rapid expansion of cropland in Cambodia, the world’s seventh-largest rice exporter, has created an imbalance land use structure. However, there is a lack quantitative investigation loss ecological as result and its drivers. In this research, spatial autocorrelation, landscape pattern index transfer matrix methods were used based on data from 2000 to 2023. Then, eXtreme Gradient Boosting-SHapley Additive exPlanations (XGBoost-SHAP) Geographic Detector explore drivers expansion. findings indicate that expanse agricultural Cambodia significantly increased by 13.47%. proportion area (37.87%) close forest (40.19%). Cultivated dominated fields, supplemented drylands. Spatial clustering obvious both drylands fields. Drylands are mainly concentrated eastern western mountainous areas northern border, while fields central plains. encroached total 30,579.27km2 land, which 62.88% was dry 37.12% Forests shrubs main source cropland. addition, soil type (0.18), elevation (0.17) GDP (0.17), population (0.52) their interactions strongly drove dryland should conduct scientific research assess demand for growth economic progress. It realize orderly cultivated reduce damage promote coordinated development society, environment economy.

Язык: Английский

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