Projections of urban land exposure to drought and flood in China DOI
Huiqing Han, Jie Zhao,

Ying Cong

и другие.

Environmental Monitoring and Assessment, Год журнала: 2024, Номер 197(1)

Опубликована: Дек. 6, 2024

Язык: Английский

Coupling input and output intensity to explore the sustainable agriculture intensification path in mainland China DOI
Sijing Ye,

J.H. Wang,

Jiayi Jiang

и другие.

Journal of Cleaner Production, Год журнала: 2024, Номер 442, С. 140827 - 140827

Опубликована: Янв. 30, 2024

Язык: Английский

Процитировано

7
Revealing the Eco-Environmental Quality of the Yellow River Basin: Trends and Drivers DOI Creative Commons
Meiling Zhou,

Zhenhong Li,

Meiling Gao

и другие.

Remote Sensing, Год журнала: 2024, Номер 16(11), С. 2018 - 2018

Опубликована: Июнь 4, 2024

The Yellow River Basin (YB) acts as a key barrier to ecological security and is an important experimental region for high-quality development in China. There growing demand assess the status order promote sustainable of YB. eco-environmental quality (EEQ) YB was assessed at both regional provincial scales utilizing remote sensing-based index (RSEI) with Landsat images from 2000 2020. Then, Theil–Sen (T-S) estimator Mann–Kendall (M-K) test were utilized evaluate its variation trend. Next, optimal parameter-based geodetector (OPGD) model used examine drivers influencing EEQ Finally, geographically weighted regression (GWR) further explore responses RSEI changes. results suggest that (1) lower value found north, while higher south Sichuan (SC) Inner Mongolia (IM) had highest lowest EEQ, respectively, among provinces. (2) Throughout research period, improved, whereas it deteriorated Henan (HA) Shandong (SD) (3) soil-available water content (AWC), annual precipitation (PRE), distance impervious surfaces (IMD) main factors affecting spatial differentiation (4) influence meteorological (PRE TMP) on changes greater than IMD, IMD showed significant increasing provide valuable information application local construction planning.

Язык: Английский

Процитировано

7
Effectiveness of nature reserves in China: Human footprint and ecosystem services perspective DOI

Xiaoning Yang,

Tianci Gu, Shaojian Wang

и другие.

Applied Geography, Год журнала: 2024, Номер 171, С. 103359 - 103359

Опубликована: Авг. 13, 2024

Язык: Английский

Процитировано

7
Identifying conservation gap in biodiversity hotspot area: Single flagship species or multi-species? DOI
Mo Wang, Jing Gan,

Guangpu Guo

и другие.

Journal for Nature Conservation, Год журнала: 2025, Номер unknown, С. 126835 - 126835

Опубликована: Янв. 1, 2025

Язык: Английский

Процитировано

0
Evaluating the effectiveness of conservation priorities in mitigating agricultural threats to China’s vertebrates DOI Creative Commons

Can Yang,

Geli Zhang, Xi Zhang

и другие.

Ecological Indicators, Год журнала: 2025, Номер 171, С. 113186 - 113186

Опубликована: Фев. 1, 2025

Язык: Английский

Процитировано

0
Analyzing the effectiveness of China's national protected areas at resisting cropland expansion pressure DOI

Shengyuan Xu,

Ziqi Meng, Yang Yu

и другие.

Applied Geography, Год журнала: 2025, Номер 177, С. 103568 - 103568

Опубликована: Фев. 18, 2025

Язык: Английский

Процитировано

0
MT-SiamNet: A Multi-Scale Attention Network for Reducing Missed Detections in Farmland Change Detection DOI Creative Commons

Jiangqing Wang,

Jing Tian, Zheng Lu

и другие.

Applied Sciences, Год журнала: 2025, Номер 15(6), С. 3061 - 3061

Опубликована: Март 12, 2025

Farmland changes have a profound impact on agricultural ecosystems and global food security, making the timely accurate detection of these crucial. Remote sensing image change provides an effective tool for monitoring farmland dynamics, but existing methods often struggle with high-resolution images due to complex scenes insufficient multi-scale information capture, particularly in terms missed detections. Missed detections can lead underestimating land changes, which affects key areas such as resource allocation, decision-making, environmental management. Traditional CNN-based models are limited extracting contextual information. To address this, we propose CNN-Transformer-based Multi-Scale Attention Siamese Network (MT-SiamNet), focus reducing The model first extracts local features using CNN, then aggregates through Transformer module, incorporates attention mechanism increase areas, thereby effectively Experimental results demonstrate that MT-SiamNet achieves superior performance across multiple datasets. Specifically, our method F1 score 65.48% HRSCD dataset 75.02% CLCD dataset, significantly improving reliability detection, providing strong support decision-making

Язык: Английский

Процитировано

0
Considering human interference to prioritize spatial conservation in a transboundary river basin using Zonation DOI

Meng Yuan,

Lan Li,

Hangnan Yu

и другие.

Research Square (Research Square), Год журнала: 2025, Номер unknown

Опубликована: Апрель 2, 2025

Abstract Previous studies on priority conservation areas were more focused ecological elements with less attention to human interference, this study intends integrate interference for spatial prioritization (SCP) using Zonation software in the Wusuli River Basin (WRB; China-Russia). Ecosystem services, landscape connectivity, and InVEST model, Conefor, footprint index along integrated into Zonation5. The results indicated that mean ecosystem services of basin was 0.66, higher values Russia (0.75) than China (0.49). Landscape connectivity eastern part (Russia), lower western (China), moderate near boundary. Condition, represented as inverse averaged 0.49, achieving a value (0.53) (0.41). Priority classified five levels, all highest-priority located (31% its area 21% basin), while over 95% lowest-priority (55% 20% basin). This evaluates priorities WRBs at basin-wide scale from multi-dimensional perspective, providing basis transboundary cooperative management.

Язык: Английский

Процитировано

0
Small-scale heterogeneity of soil properties in farmland affected fava beans growth through rhizosphere differential metabolites and microorganisms DOI Creative Commons

Linbin Wang,

Yufeng Wu, Zhi-Bo Zhao

и другие.

Environmental Microbiome, Год журнала: 2025, Номер 20(1)

Опубликована: Май 1, 2025

Язык: Английский

Процитировано

0
Considering spatial heterogeneity of cultivation conditions can effectively improve the assessment of nitrogen use at the provincial scale in China DOI Creative Commons
Jiayi Jiang, Sijing Ye,

Lingling Sang

и другие.

Ecological Indicators, Год журнала: 2024, Номер 167, С. 112603 - 112603

Опубликована: Сен. 16, 2024

Язык: Английский

Процитировано

2