The rapidly changing landscape pattern of photovoltaic field in Kubuqi Desert from 2017 to 2024 DOI
Mingze Li,

Mengqi Qiu,

Xiaoyu Guo

et al.

Deleted Journal, Journal Year: 2024, Volume and Issue: unknown

Published: Dec. 1, 2024

Language: Английский

A Prediction–Interaction–Driving Framework for Ecosystem Services Under Climate Change and Human Activities: A Case Study of Zoigê County DOI Creative Commons
Wanting Zeng, Li He, Zhengwei He

et al.

Land, Journal Year: 2025, Volume and Issue: 14(3), P. 441 - 441

Published: Feb. 20, 2025

Under climate change and human activities, ecosystem service (ES) research lacks systematic approaches scientific depth. This study develops a comprehensive framework integrating advanced models to predict ESs, analyze interactions, identify key drivers, assess spatial effects on the Zoigê Plateau. The results indicate following: (1) From 2000 2020 across three 2040 scenarios, water conservation (WC) improves, while carbon storage (CS) habitat quality (HQ) decline, leading overall ES degradation. Core areas face rising degradation risks from 9% 29% under increasing environmental stress (SSP119 SSP585). (2) importance follows HQ > CS SC WC, with bivariate interactions outperforming single-factor effects. Future scenarios show weakened correlating higher ecological stress, indicating stability risks. (3) Land use (>40% explanatory power) is primary driver, urban expansion, slope, evapotranspiration, precipitation contribute (6–12%). (4) drivers showed weak patterns but became more stable future suggesting stronger control. provides methodological paradigm for analysis supports planning in alpine wetland–grassland regions.

Language: Английский

Citations

1

Reply on RC1 DOI Creative Commons
Kaifeng Peng

Published: Jan. 16, 2025

Abstract. Rivers play important roles in ecological biodiversity, shipping trade and the carbon cycle. Owing to human disturbances extreme climates recent decades, river extents have altered frequently dramatically. The development of sequential fine-scale extent datasets, which could offer strong data support for protection, management sustainable use, is urgently needed. A literature review revealed that annual datasets with fine spatial resolutions are generally unavailable China. To address this issue, first Sentinel-derived China dataset (CRED) from 2016 2023 was produced our study. We water maps by combining dynamic world (DW), ESRI global land cover (EGLC) multiple index detection rule (MIWDR). For DW MIWDR time series, mode algorithm, calculates most common values, used generate yearly maps. Then, an object-based hierarchical decision tree based on geometric features auxiliary developed extract rivers data. results indicated overall accuracies (OAs) CRED were greater than 96.0 % 2023. user (UAs), producer (PAs) F1 scores exceeded 95.3 %, 91.3 93.7 respectively. further intercomparison shared similar patterns wetland map East Asia (EA_Wetlands), use/cover change (CNLUCC) covers (CWaC) correlation coefficients (R) 0.75. Moreover, outperformed three terms small mapping misclassification reduction. area statistics 44,948.78 km2 2023, mostly distributed coastal provinces From areas characterized initial increase, followed a decrease then slight increase. Spatially, decreased located mainly Southeast China, whereas increased Central Northeast In general, explicitly delineated dynamics provide good foundation improving ecology management. publicly available at https://doi.org/10.5281/zenodo.13841910 (Peng et al., 2024a).

Language: Английский

Citations

0

Reply on RC2 DOI Creative Commons
Kaifeng Peng

Published: Jan. 16, 2025

Abstract. Rivers play important roles in ecological biodiversity, shipping trade and the carbon cycle. Owing to human disturbances extreme climates recent decades, river extents have altered frequently dramatically. The development of sequential fine-scale extent datasets, which could offer strong data support for protection, management sustainable use, is urgently needed. A literature review revealed that annual datasets with fine spatial resolutions are generally unavailable China. To address this issue, first Sentinel-derived China dataset (CRED) from 2016 2023 was produced our study. We water maps by combining dynamic world (DW), ESRI global land cover (EGLC) multiple index detection rule (MIWDR). For DW MIWDR time series, mode algorithm, calculates most common values, used generate yearly maps. Then, an object-based hierarchical decision tree based on geometric features auxiliary developed extract rivers data. results indicated overall accuracies (OAs) CRED were greater than 96.0 % 2023. user (UAs), producer (PAs) F1 scores exceeded 95.3 %, 91.3 93.7 respectively. further intercomparison shared similar patterns wetland map East Asia (EA_Wetlands), use/cover change (CNLUCC) covers (CWaC) correlation coefficients (R) 0.75. Moreover, outperformed three terms small mapping misclassification reduction. area statistics 44,948.78 km2 2023, mostly distributed coastal provinces From areas characterized initial increase, followed a decrease then slight increase. Spatially, decreased located mainly Southeast China, whereas increased Central Northeast In general, explicitly delineated dynamics provide good foundation improving ecology management. publicly available at https://doi.org/10.5281/zenodo.13841910 (Peng et al., 2024a).

Language: Английский

Citations

0

Multi-Scale Ecological Restoration Strategies to Enhance Water Conservation in Ruoergai on the Qinghai–Tibet Plateau DOI Creative Commons
Shiliang Liu,

Yuhong Dong,

Yongxiu Sun

et al.

Plants, Journal Year: 2025, Volume and Issue: 14(7), P. 1085 - 1085

Published: April 1, 2025

The Ruoergai Wetland is the highest and largest plateau peat swamp wetland in world, providing more than 30% of water for upper reaches Yellow River. It performs vital regulatory functions maintaining quality stability regional ecosystem River Basin. great significance to study spatial temporal variability conservation services as well ecological restoration enhancement strategies at multiple scales. Based on field research, using InVEST model, this quantitatively assessed a long period Wetland, proposing strategy improve capacity. results showed that both grassland (mainly alpine meadow with Kobresia Willd Cyperus papyrus) area exhibited degradation. proportions significantly decreased, moderately slightly decreased areas were 50.64%, 16.81%, 11.64%, respectively. There also significant changes capacity from 2020 2023, strong heterogeneity. Average per unit ranged 52.70 211.99 mm/m2, decreasing trend. However, past 10 years, soil erosion by about 4735 km2. Although situation has improved large extent, there still increasing some areas. investigation, intrinsic mechanisms wetlands elaborated, driving forces behind described, further proposed perspectives engineering measures, zoning, industrial structure.

Language: Английский

Citations

0

The rapidly changing landscape pattern of photovoltaic field in Kubuqi Desert from 2017 to 2024 DOI
Mingze Li,

Mengqi Qiu,

Xiaoyu Guo

et al.

Deleted Journal, Journal Year: 2024, Volume and Issue: unknown

Published: Dec. 1, 2024

Language: Английский

Citations

0