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

Remote Sensing, Journal Year: 2024, Volume and Issue: 16(20), P. 3884 - 3884

Published: Oct. 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

Language: Английский

---

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

Journal of Hydrology, Journal Year: 2024, Volume and Issue: unknown, P. 132374 - 132374

Published: Nov. 1, 2024

Language: Английский

---

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

GIScience & Remote Sensing, Journal Year: 2024, Volume and Issue: 61(1)

Published: Nov. 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).

Language: Английский

---

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

Land, Journal Year: 2024, Volume and Issue: 13(12), P. 2195 - 2195

Published: Dec. 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.

Language: Английский

---

Ecological Restoration and Zonal Management of Degraded Grassland Based on Cost–Benefit Analysis: A Case Study in Qinghai, China

Sustainability, Journal Year: 2024, Volume and Issue: 16(24), P. 11123 - 11123

Published: Dec. 18, 2024

The Qinghai–Tibetan Plateau (QTP) has the largest area of natural grassland in China, and continuous degradation poses a serious threat to regional ecological security sustainable resource management. It is essential comprehensively evaluate cost–benefit differences drivers across various zones enhance management practices. This study presents zonal framework for restoration degraded grasslands based on analysis, specifically applied Qinghai Northeastern QTP. results indicate: (1) Although overall NDVI shows an upward trend, some areas still exhibit significant degradation. (2) Cost–benefit analysis can divide into four types Ecological Management Zones (EMZs): high-cost–high-benefit zone, high-cost–low-benefit low-cost–low-benefit low-cost–high-benefit zone. (3) driving factors show different EMZs. Based these research findings, differentiated spatial planning strategies were developed each EMZ. not only provides scientific methodology but also offers important insights resources QTP other ecologically sensitive areas.

Language: Английский

---