Quantitative Analysis of Human Activities and Climatic Change in Grassland Ecosystems in the Qinghai–Tibet Plateau DOI Creative Commons
Yunmin Chen, Liusheng Han,

Tian Xia

et al.

Remote Sensing, Journal Year: 2024, Volume and Issue: 16(21), P. 4054 - 4054

Published: Oct. 31, 2024

Net primary production (NPP) serves as a critical proxy for monitoring changes in the global capacity vegetation carbon sequestration. The assessment of factors (i.e., human activities and climate changes) influencing NPP is great value study terrestrial systems. To investigate influence on grassland NPP, ecologically vulnerable Qinghai–Tibet Plateau region was considered an appropriate area period from 2000 to 2020. We innovated use RICI index quantitatively represent analyzed effects climatic using geographical detector. In addition, future predicted through integration two modeling approaches: Patch-Generating Land Use Simulation (PLUS) model Carnegie–Ames–Stanford Approach (CASA) model. revealed that expanded contributed 7.55 × 104 Gg C (Gg = 109 g) total whereas deterioration resulted decline 1.06 105 C. factor identified dominant restoration, representing 70.85% well degradation, 92.54% NPP. By subdividing change activity into sub-factors detecting them with detector, results show anthropogenic have significant ability explain geographic variation considerable extent, effect greater when interact. q-values Relative Impact Contribution Index (RICI) land are consistently than 0.6, management practices evapotranspiration remaining at approximately 0.5. analysis interaction between reveals average impact 0.8. 2030, natural development scenario, economic scenario (ED), ecological protection (EP) decreasing trend due change, factor, causing decrease. Human play role improvement. EP indicates positive expansion growth rate forests, water, wetlands, while ED rapid urbanization. It notable this accompanied by temporary suspension urban greening.

Language: Английский

Analysis of Urban Flooding Driving Factors Based on Water Tracer Method and Optimal Parameters-Based Geographical Detector DOI Creative Commons
Kui Xu, Yong Tian, Lingling Bin

et al.

International Journal of Disaster Risk Science, Journal Year: 2025, Volume and Issue: unknown

Published: April 10, 2025

Abstract Urban flooding is caused by multiple factors, which seriously restricts the sustainable development of society. Understanding driving factors urban pivotal to alleviating flood disasters. Although effects various on have been extensively evaluated, few studies consider both interregional connection and interactions between factors. In this study, were analyzed based water tracer method optimal parameters-based geographical detector (OPGD). An simulation model coupled with was constructed simulate flooding. Furthermore, volume results. Subsequently, force them quantified using OPGD model. Taking Haidian Island in Hainan Province, China as an example, results show that sub-catchment H6 region experiencing most severe H9 contributes overall study area. The subsequent effect analysis elevation factor maximum single-factor (0.772) ∩ percentage building area pair two-factor (0.968). addition, bivariable or nonlinear enhancement effects. two strengthen influence each This understanding cause provides a reference for risk mitigation.

Language: Английский

Citations

0
Spatial pattern and heterogeneity of green view index in mountainous cities: a case study of Yuzhong district, Chongqing, China DOI Creative Commons
Aiping Gou, X Y Wang, Jiangbo Wang

et al.

Scientific Reports, Journal Year: 2025, Volume and Issue: 15(1)

Published: April 12, 2025

The Green View Index (GVI) is utilized to evaluate urban street value and ecosystem services gauge public perceptions of greening. This study investigates the spatial heterogeneity GVI its influencing factors in Yuzhong District, Chongqing, a mountainous city China. Deep learning algorithms were employed calculate green visibility view images, Geographic Weighted Regression (GWR) Optimal Parameter-Based Geodetector (OPGD) analyze relationships between such as road physical attributes, Normalized Difference Vegetation (NDVI), topographic features. results indicate that: (1) In 58.9% streets have within low moderate range, suggesting room for improvement. Higher levels are generally associated with elevated Digital Elevation Models (DEM), while slope, aspect, terrain undulation relatively minor overall impacts on GVI. (2) highest western regions lowest eastern regions, along riversides exhibiting lower levels. (3) GWR analysis reveals that type NDVI significantly influence DEM values promote increased GVI, whereas high density suppresses it. (4) interaction drives differentiated distribution area. effects Road type, NDVI, particularly notable among these.

Language: Английский

Citations

0
Disentangling Gross Primary Productivity drivers of forested areas in China and its climate zones from 1990 to 2018 DOI Creative Commons
Chenxi Zhu, Guojie Wang, Yuhao Shao

et al.

Journal of Cleaner Production, Journal Year: 2025, Volume and Issue: unknown, P. 145616 - 145616

Published: April 1, 2025

Language: Английский

Citations

0
Integration of ecosystem service composite index and driving thresholds for ecological zoning management: A case study of Qinling-Daba Mountain, China DOI
Juan Bai, Xiaofeng Wang,

You Tu

et al.

Journal of Environmental Management, Journal Year: 2025, Volume and Issue: 384, P. 125309 - 125309

Published: April 29, 2025

Language: Английский

Citations

0
Evaluation and driving force analysis of relative effectiveness in the giant panda national park in Sichuan, China DOI Creative Commons
Bao Meng, Mengchao Wang, Zhifeng Zhang

et al.

Frontiers in Environmental Science, Journal Year: 2025, Volume and Issue: 12

Published: Jan. 7, 2025

Empirical analysis of the relative effectiveness Giant Panda National Park (GPNP) system can promote optimization and improvement its management level. Normalized Difference Vegetation Index (NDVI) is a key indicator to measure health ecosystems, which effectively quantitatively reveal spatial temporal changes ecological protection effects. This study evaluated in Sichuan area GPNP from 2000 2020 using propensity score matching model (PSM). It also explored influencing factors interactions each period by combining Optimal Parameter-based Geographical Detector Model (OPGD). The results showed that: 1) area’s Relative Effectiveness (REI) was positive, suggesting effective protection. REI fell 0.044 0.031 2015 although it then increased 0.034 small extent, an overall decreasing trend, conservation effect has weakened. 2)The change patterns varied different functional zones area, with general fluctuation decline, Minshan Baishuijiang Core Protection Area (MBJ-CPA) as whole first rise fall, best 3) Natural such temperature elevation are main affecting NDVI, while influence policy economic level protected areas distance towns increasing. Qionglaishan Adjacent Areas General Control (QLA-GCA) dominated interaction landscape pattern index remaining factors, rest natural temperature, evapotranspiration factors. Therefore, future development, need pay more attention patterns, other impact climate on ecosystem. provide reference for future.

Language: Английский

Citations

0
Management of soil-related ecosystem services in semi-arid regions of Iran using key environmental drivers DOI
Azam Khosravi Mashizi, Mohsen Sharafatmandrad

Journal of Environmental Management, Journal Year: 2025, Volume and Issue: 381, P. 125181 - 125181

Published: April 7, 2025

Language: Английский

Citations

0
Multifractal Detrended Fluctuation Analysis on the Fracture Surface of Polycarbonate and Acrylonitrile-butadiene-styrene Alloy DOI
Yonghai Zhang, Leigang Zhang,

Yue Liwen

et al.

Chinese Journal of Physics, Journal Year: 2024, Volume and Issue: 90, P. 434 - 445

Published: May 28, 2024

Language: Английский

Citations

2
Research on the Carbon Sequestration Capacity of Forest Ecological Network Topological Features and Network Optimization Based on Modification Recognition in the Yellow River Basin Mining Area: A Case Study of Jincheng City DOI Creative Commons
Maolin Li, Qiang Yu,

Chenglong Xu

et al.

Remote Sensing, Journal Year: 2024, Volume and Issue: 16(11), P. 1986 - 1986

Published: May 31, 2024

Forests are vital for terrestrial ecosystems, providing crucial functions like carbon sequestration and water conservation. In the Yellow River Basin, where 70% of forest coverage is concentrated in middle reaches encompassing Sichuan, Shaanxi, Shanxi provinces, there exists significant potential coal production, with nine planned bases. This study centered on Jincheng City, Province, a representative mining area combined MSPA analysis method MCR model to generate five-period ecological network City from 1985 2022 under background calculate degree centrality, closeness betweenness eigenvector centrality; correlation between four centralities ability further explored. Simultaneously, employing RAND-ESU algorithm motif identification within networks, this integrates policies research specific conditions region optimize City. Findings reveal following. (1) Forest spatial networks: networks exhibit robust overall connectivity area, corridors spanning region. However, certain areas high resistance hinder key nodes mining. (2) Correlation topological indices services: From 2022, capacity City’s source increased year by year, positive correlations were observed centrality services, indicating strengthening trend over time. (3) Motif Recognition Ecological Network Optimization: During study, types motifs identified based number their connections using algorithm. These 3a, 4a, 4b, 4d (where represents letter connection type). Among these, 3a 4b play role. Based these practical considerations, optimization was performed existing enhance robustness network.

Language: Английский

Citations

2
Investigating the Dynamic Change and Driving Force of Vegetation Carbon Sink in Taihang Mountain, China DOI Creative Commons
Qiushi Qu,

Sihui Jian,

Anguo Chen

et al.

Land, Journal Year: 2024, Volume and Issue: 13(9), P. 1348 - 1348

Published: Aug. 24, 2024

Vegetation plays an important role in absorbing carbon dioxide and accelerating the achievement of neutrality. As ecological barrier North China, Taihang Mountains are pivotal to construction project China. Nevertheless, dynamic development vegetation sink region impact factors on have not been systematically evaluated. This study employed a comprehensive approach, utilising remote sensing technology meteorological topographic data, conjunction with net ecosystem productivity (NEP) estimation model reveal characteristics sinks Mountain, then revealed dynamics evolution NEP inter-annual trend by using Theil–Sen Median slope estimation, Mann–Kendall test, coefficient dissociation analysed driving roles influencing parameter optimal geographic detector. Our findings suggest that Mountain area has clear growth time, average value is 289 gC-m−2-a−1 from 2000 2022, spatial distribution shows high northeast low middle west, gradual increase southwest; areas fluctuation mainly distributed around some cities susceptible interference natural or anthropogenic factors. The influenced variety factors, among which explanatory power each factor as follows: DEM (0.174) > temperature (0.148) precipitation (0.026) (0.017) direction (0.003). had strongest for changes, two-by-two effects were all significantly stronger than single factor, interaction between power; distinguishing climate change contribution activities changes more 90% Mountainous Region was 60%, force change. results this can only provide reference reduction restoration projects but also benefit research paradigm sequestration other regions.

Language: Английский

Citations

2
Exploring the Effects of Urban Development in Ten Chinese Node Cities along the Belt and Road Initiative on Vegetation Net Primary Productivity DOI Open Access
Gaosheng Liu, Jie Pan, Yuxin Jiang

et al.

Sustainability, Journal Year: 2024, Volume and Issue: 16(11), P. 4845 - 4845

Published: June 6, 2024

Urbanization and economic growth in node cities surged due to the Belt Road Initiative (BRI), leading significant environmental changes, notably vegetation net primary productivity (NPP). Investigating ecological impact of these urban changes was crucial, despite scarce relevant studies. We employed Sen’s slope estimation Mann–Kendall trend analysis study NPP trends (2005–2020) ten cities. The Optimized Parameters Geographic Detector Model (OPGD) analyzed factors impacting their interactions. Results revealed variations among cities, ranging from 656.47 gCm−2a−1 250.55 gCm−2a−1, with over 79% showing increasing trends. Since 2013, Chongqing, Wuhan, Hefei, Nanchang, Changsha experienced declining NPP, while other five saw an increase. Natural like temperature, precipitation, DEM predominantly influence rising trends, anthropogenic land use nighttime light drive decline. Land 39.0% explanatory power, primarily affect NPP. After construction increased by 117.7 km2 on average, arable decreased 274.8 km2, contributing cover Nighttime lights explained up 25% variance. Regions high nocturnal values exhibited more developed urbanization but comparatively lower levels.

Language: Английский

Citations

1