Impacts of landscape pattern evolution on typical Ecosystem Services in Ganjiang River Basin, China DOI Creative Commons
Shiwen Wu,

Song Xu,

Yun Huang

et al.

Research Square (Research Square), Journal Year: 2023, Volume and Issue: unknown

Published: May 30, 2023

Abstract Understanding the response mechanism of ecosystem services (ES) to landscape patterns is great significance for regional planning and sustainable development. In this study, index InVEST model were used quantitatively analyze spatio-temporal evolution ES in Ganjiang River Basin China from 1990 2020. Furthermore, bivariate Moran's I method spatial error (SEM) test correlation between ES. The results showed that (1) cropland decreased construction land increased, overall tended be fragmented, patch shape complicated, diversity increased Water conservation (WC) soil (SC) capacity by 10.56 mm 16.24 t hm –2 a –1 , respectively, whereas carbon storage (CS) 1.22 . (2) responses different typical degree. Typical negatively responded Shannon’s density. WC was sensitive Splitting Index, SC CS more responsive average area. (3) purpose territorial within basin should reduce fragmentation heterogeneity landscape. According four local aggregation ES, corresponding measures can taken according conditions regions. provide quantitative basis management ecological scientific guidance Yangtze strategy.

Language: Английский

Exploring the combined impact of ecosystem services and urbanization on SDGs realization DOI
Zihan Xu, Jian Peng, Yanxu Liu

et al.

Applied Geography, Journal Year: 2023, Volume and Issue: 153, P. 102907 - 102907

Published: March 1, 2023

Language: Английский

Citations

51
Dealing with urban floods within a resilience framework regarding disaster stages DOI

Shuying Yu,

Maoning Yuan,

Qi Wang

et al.

Habitat International, Journal Year: 2023, Volume and Issue: 136, P. 102783 - 102783

Published: May 5, 2023

Language: Английский

Citations

25
A new framework for multi-level territorial spatial zoning management: Integrating ecosystem services supply-demand balance and land use structure DOI
Yifei Xu, Xiaoqing Zhao,

Pei Huang

et al.

Journal of Cleaner Production, Journal Year: 2024, Volume and Issue: 441, P. 141053 - 141053

Published: Jan. 31, 2024

Language: Английский

Citations

13
Revealing the Spatial Interactions and Driving Factors of Ecosystem Services: Enlightenments under Vegetation Restoration DOI Creative Commons
Ting Li, Yu Ren, Zemin Ai

et al.

Land, Journal Year: 2024, Volume and Issue: 13(4), P. 511 - 511

Published: April 13, 2024

Large-scale vegetation restoration has caused complex changes in ecosystem service (i.e., ES) interactions. However, current analysis on the spatial interactions of ESs and their driving mechanisms remains deficient, limiting adaptive management areas. This study focused a representative area (Yan’an) to analyze relationships among carbon sequestration, water yield, baseflow regulation, soil conservation from 1990 2020. Employing bivariate boxplot autocorrelation methods, we identified overall patterns ES The geographically temporally weighted regression GTWR) model was applied elucidate factors these results indicated following: (1) Over past three decades, synergies between sequestration yield emerged as joint ‘low–low’ ‘high–high’ two ESs, while other pairs generally exhibited comparatively weaker synergies, due ‘low–high’ southern semi-humid (2) In northern semi-arid areas, both fractional cover FVC) climatic consistently exerted negative influences all interactions, which reduced FVC suppressed trade-offs indicating adaptability grassland efforts. (3) impact human activities increased last 10 years, positive effects expansion trade-off warrants attention. offers important insights into understanding carbon, water, soil-related drylands.

Language: Английский

Citations

7
Spatial-temporal pattern of ecosystem services and sustainable development in representative mountainous cities: A case study of Chengdu-Chongqing Urban Agglomeration DOI
Liang Chen,

Ying Yao,

Keming Xiang

et al.

Journal of Environmental Management, Journal Year: 2024, Volume and Issue: 368, P. 122261 - 122261

Published: Aug. 25, 2024

Language: Английский

Citations

6
How Do Driving Factors Affect Vegetation Coverage Change in the Shaanxi Region of the Qinling Mountains? DOI Creative Commons
Shuoyao Wang, Meiling Gao,

Zhenhong Li

et al.

Remote Sensing, Journal Year: 2023, Volume and Issue: 16(1), P. 160 - 160

Published: Dec. 30, 2023

Understanding the effects of natural and human disturbance factors on fractional vegetation coverage (FVC) is significant in promotion ecological environmental protection. However, most relevant studies neglect to consider differences effect driving areas with different change characteristics. In this paper, we have combined Theil-Sen median trend analysis Mann-Kendall testing identify degraded restored areas. Differences impact various FVC terms degradation, restoration, whole region were distinguished quantitatively using geodetector model. Additionally, constraint line approach was used detect influence thresholds FVC. The results are shown as below: (1) showed an overall improving trend, restoration degradation accounted for 69.2% 22.0%, respectively. (2) two dominant affecting Digital Elevation Model (DEM) temperature both regions. explanatory power precipitation noticeably between (3) Most had a “convex” FVC, which gradually weakened increase variable below threshold vice versa. Human negatively constrained increased activity. This study can help decision-makers optimize specific implementation policies relating sustainable development.

Language: Английский

Citations

11
Spatiotemporal Variations of Urban Spatial Dispersion and Its Vegetation Degradation in Joglosemar’s Urban Growth Corridors, Indonesia DOI
Dimas Danar Dewa, Imam Buchori, Iwan Rudiarto

et al.

Australian Geographer, Journal Year: 2024, Volume and Issue: 55(2), P. 179 - 201

Published: March 22, 2024

Indonesia has several expanding metropolitan regions, such as the Joglosemar Urban Region. The Region includes three major urban growth centres – Semarang Metropolitan (SMR), Surakarta (SUR), and Yogyakarta (YUR) with corridors connecting them. cover areas crossed by main road network linking centres. Rapid uncontrolled development can endanger environmental sustainability along corridors. This study compares within SMR-SUR, SUR-YUR, SMR-YUR. It examines spatiotemporal variations of compactness vegetation degradation. uses Landsat Satellite Imagery from 2001, 2008, 2015, 2022. index-based calculation was employed to obtain built-up area change, compactness, most dispersed observed had greatest Among corridors, SMR-SUR corridor recorded highest degradation −0.21, an increase in index 0.02. Vegetation greenness is significantly reduced expansion high spatial dispersion. Our assessment offers new insight inform government enacting policy changes control its sustainability.

Language: Английский

Citations

4
Investigating the Spatial Distribution and Influencing Factors of Non-Grain Production of Farmland in South China Based on MaxEnt Modeling and Multisource Earth Observation Data DOI Creative Commons
Juntao Chen,

Zhuochun Lin,

Jinyao Lin

et al.

Foods, Journal Year: 2024, Volume and Issue: 13(21), P. 3385 - 3385

Published: Oct. 24, 2024

Excessive non-grain production of farmland (NGPF) seriously affects food security and hinders progress toward Sustainable Development Goal 2 (Zero Hunger). Understanding the spatial distribution influencing factors NGPF is essential for agricultural management. However, previous studies on identification have mainly relied high-cost methods (e.g., visual interpretation). Furthermore, common machine learning techniques difficulty in accurately identifying based solely spectral information, as not merely a natural phenomenon. Accurately at grid scale elucidating its emerged critical scientific challenges current literature. Therefore, aims this study are to develop grid-scale method that integrates multisource remote sensing data enhance precision provide more comprehensive understanding factors. To overcome these challenges, we combined images, natural/anthropogenic factors, maximum entropy model reveal scale. This combination can detailed information quantify integrated influences multiple from microscale perspective. In case Foshan, China, area under receiver operating characteristic curve 0.786, with results differing by only 1.74% statistical yearbook results, demonstrating reliability method. Additionally, total error our result lower than using information. Our enhances resolution effectively detects small fragmented farmlands. We identified elevation, farming radius, population density dominant affecting NGPF. These offer targeted strategies mitigate excessive The advantage lies independence negative samples. feature applicability other cases, particularly regions lacking high-resolution grain crop-related data.

Language: Английский

Citations

4
Ecology with artificial intelligence and machine learning in Asia: A historical perspective and emerging trends DOI Creative Commons
Masahiro Ryo

Ecological Research, Journal Year: 2023, Volume and Issue: 39(1), P. 5 - 14

Published: Oct. 11, 2023

Abstract The use of artificial intelligence (AI) and machine learning (ML) has significantly enhanced ecological research in Asia by improving data processing, analysis, pattern extraction. Analyzing 1550 articles, I show an overview the AI ML for Asian research. Following last 20 year trend, found that topics have transitioned from technical perspectives to more applied issues, focusing on biodiversity conservation, climate change, land societal impacts. Non‐Asian countries, other hand, focused theoretical understanding processes. difference between non‐Asian regions may emerged due challenges faced such as rapid economic growth, development, change In both regions, deep related technology been emerging (e.g., big collection including image movement). Within Asia, China Asia‐leading country AI/ML applications followed Korea, Japan, India, Iran. number computer science education programs increasing 3.5× times faster than United States, indicating a nationwide strategy development is key with AI. Overall, adoption technologies studies propelled field forward opened new avenues innovative conservation practices.

Language: Английский

Citations

10
Landscape patterns and ecosystem services are critical for contributions to sustainable development goals DOI Creative Commons
Miao Xue, Zihao Guo,

Congbin Leng

et al.

Ecosystem Health and Sustainability, Journal Year: 2025, Volume and Issue: 11

Published: Jan. 1, 2025

The ecosystem services (ESs) and landscape patterns (LPs) in a region have marked impact on human production life even play an important role the achievement of regional Sustainable Development Goals (SDGs). Given limited consideration LPs ESs SDGs current research, it is especially crucial to provide comprehensive targeted policy support for sustainable development less developed areas from environmental perspective. Utilizing Lincang National Innovation Demonstration Zone as case study, we evaluation index system at county level City. This was established based extensive field surveys, visits, data collection conducted with local government departments relevant organizations between 2021 2022. Our study found that there significant spatial heterogeneity relationship or each county. Therefore, regulation optimization should not adopt one-size-fits-all approach; rather, measures be implemented specific SDGs. Additionally, dual-factor interaction enhancement explaining SDG. implies promoting synergy can effectively drive certain Overall, this provides critical scientific decision-making references governments realization construction more beautiful Lincang. In addition, Chinese experience plan neighboring countries such Myanmar Laos.

Language: Английский

Citations

0