Applied Geography, Journal Year: 2023, Volume and Issue: 157, P. 103002 - 103002
Published: June 6, 2023
Language: Английский
Ecological Indicators, Journal Year: 2024, Volume and Issue: 158, P. 111540 - 111540
Published: Jan. 1, 2024
The exponential growth of human activities has resulted in a substantial increase land use practices that not only modify the characteristics landscape patterns but also pose significant ecological risk (LER), with latter being pivotal for ecosystem conservation and sustainable social development. However, research on LER driving factors Irtysh River Basin (IRB) are limited. Objectively assessing high latitudes within Central Asia (Irtysh Basin) quantitatively identifying environmental its changes holds value ensuring security habitation amidst global change. In this study, spatial autocorrelation analysis method geographically weighted regression (GWR) geographical detector (Geo-Detector) models were utilized to reveal spatiotemporal based use/land cover (LULC) IRB from 1992 2020. findings indicate (1) temporal scale reveals slight increasing trend IRB. (2) distribution is characterized by dominance lower- medium-risk regions, evident positive autocorrelation. (3) pattern influenced various factors, impact temperature geo-detector model. addition, heterogeneity effects major was further obtained using GWR presented herein can serve as scientific references development sustainability safety management arid zones high-latitude cold thus promoting protection countries, enhancing consensus facilitating international cooperation conservation.
Language: Английский
Citations
33
Ecological Indicators, Journal Year: 2023, Volume and Issue: 155, P. 110954 - 110954
Published: Sept. 25, 2023
Watershed ecological security (ES), which is fundamental to regional sustainable development, consists of risk (ER), ecosystem health (EH), and services (ESs). It remains unclear how describe the status ES by integrating three key characteristics, little known about differences among factors driving ER, EH, ESs, ES. Here, we established an integrated assessment system based on cause–effect relationship ESs. We quantified characteristics in Huaihe River Basin China 2020 pinpointed (i.e., natural environment, urbanization, accessibility) their spatial differentiation using Geodetector model. Results showed that: (1) study area, ER EH were at average level, ESs high level. (2) had positive correlations (Moran' I > 0.60), with having strongest dependence. (3) Natural environmental predominantly influenced Slope was primary driver for (q-value = 0.492 0.395, respectively), vegetation coverage major 0.506). (4) mainly urbanization factors, proportion construction land area exhibiting highest explanatory power 0.751), interaction being 0.836). This provides new ideas methods ES, holds implications protection management ecosystems.
Language: Английский
Citations
36
Ecological Informatics, Journal Year: 2024, Volume and Issue: 82, P. 102748 - 102748
Published: July 30, 2024
With the acceleration of urbanization and industrialization, land-use mode in mountainous areas has changed significantly, causing serious ecological destruction. Therefore, improving efficiency land-resource use enhancing protection are important issues. This study focuses on typical Guizhou Province to explore their significance not only for restoration but also sustainable socioeconomic development. In this study, we integrated framework interaction between transitions landscape patterns employed Spearman's rank correlation coefficient a spatial bivariate model reveal spatiotemporal heterogeneity transitions. The results showed that 1990–2020, cultivated, forest, grassland decreased by −1353.66, −749.98 − 541.72 km2 respectively, whereas water area, urban, other construction land increased 799.69, 542.62, 1230.90 km2, respectively. Moreover, cultivated converted into urban were 358.03 661.77 forest 3550.08 277.32 Different presented rapid expansion contraction characteristics, resulting an increase overall patch fragmentation, decrease uniformity, irregular patches, which enhanced diversity complexity. Finally, transition effects primarily elevation, slope, primary road facility factors. In-depth research transitional evolution its impact theoretical practical value formulating land-management policies promoting development areas.
Language: Английский
Citations
12
Ecological Indicators, Journal Year: 2024, Volume and Issue: 159, P. 111596 - 111596
Published: Jan. 25, 2024
Understanding the dynamic relationship between ecosystem service supply and urbanization demand, identifying underlying influencing mechanisms are crucial for sustainable development in global process. However, current studies mainly focused on coupling coordination of situation, rather than system. Thus, we introduced concept degree (DCCD) to address research gap. This study calculated rates composite index (ESSCI) demand (UDDCI) from 2000 2020 construct DCCD model case Yangtze River Delta region. Subsequently, analysed inherent causing regional differences DCCD. Our results indicated that (1) ESSCI UDDCI showed spatiotemporal heterogeneity, rate had significant north south, decreased east west. (2) In 2020, notable existed northern southern region, with zone being lower. The situation improved 2005 2015. (3) Global habitat quality a impact coordination. north, annual water yield significantly influenced coordination, while carbon sequestration it. These factors related land use. We into old achieve goals.
Language: Английский
Citations
10
Ecological Indicators, Journal Year: 2024, Volume and Issue: 161, P. 111950 - 111950
Published: April 1, 2024
The balance between ecosystem service supply–demand and landscape ecological risk are two crucial aspects influencing the sustainable development of regional ecosystems. Current evaluations ignore these lead to partial planning in urban areas. As a result, framework was built for areas based on multidimensional ecosystems high-efficiency land use planning. First, determine scale, supply demand five services were quantified—biodiversity conservation, carbon sequestration, water food production, recreation. Second, risks identified using "natural–social–landscape" research combined with spatial principal component analysis. Third, clustering analysis ratios then performed through autocorrelation, which aimed identify protection restoration priority. Finally, GeoDetector used main factors develop targeted measures. results revealed an imbalance total Beijing's plain area, coupled high level risk. exhibited significant negative correlation aggregation risk, area accounted approximately 31.9% area. Priority 10.39% 19.94%, respectively, Land use, distance settlements, vegetation cover primary environmental variables distributions So, this study emphasizes need strengthen intensive prevent uncontrolled expansion settlements. It is enhance green infrastructure construction, promote biodiversity-friendly agriculture, implement measures such as afforestation increase cover. Overall, by integrating comprehensive scientific reference can be provided efficient
Language: Английский
Citations
10
Scientific Reports, Journal Year: 2025, Volume and Issue: 15(1)
Published: Jan. 2, 2025
Language: Английский
Citations
1
The Science of The Total Environment, Journal Year: 2023, Volume and Issue: 908, P. 168183 - 168183
Published: Nov. 7, 2023
The eastern coastal areas of Japan are threatened by multiple ecological risks due to frequent natural disasters, climate changes, human activities, etc. Identification spatio-temporal variations and driving mechanisms landscape risk could be used as significant basis for policymakers. In this study, taking the affected 2011 Great East Earthquake Tsunami Disaster study area, "Nature-Landscape Pattern-Human Society" (NA-LP-HS) multi-dimensional assessment framework was established analyze patterns, identity factors using spatial cluster analysis principal component (SPCA) based on ArcGIS from 2009 2021. findings revealed distinct geographic patterns in risk, with a noticeable decline southwest northeast. During period 2015, leading sharp increase were disasters vegetation coverage. These high-risk concentrated Sendai Bay its surroundings. From 2015 2021, instability primarily attributed reduction coverage, occurrence heightened rainfall erosion. mainly clustered within Tokyo-centered urban agglomeration. Spatial clustering obvious across all time periods. key contributing high focused "landscape pattern" criterion, specifically including land use cover. This demonstrated ability identify factors, these results provide visual decision-making sustainable development areas.
Language: Английский
Citations
21
Journal of Cleaner Production, Journal Year: 2024, Volume and Issue: 461, P. 142633 - 142633
Published: May 21, 2024
Language: Английский
Citations
8
Remote Sensing, Journal Year: 2023, Volume and Issue: 15(16), P. 4007 - 4007
Published: Aug. 12, 2023
Improving the carbon sequestration capacity (CSC) of an ecosystem by optimizing urban ecological networks is one effective ways to achieve goal “carbon neutrality” in world. The contradiction between irreplaceable function and economic development Yancheng City prominent. Therefore, taking as example, this paper adopted morphological spatial pattern analysis–minimum cumulative resistance (MSPA-MCR) model establish network 2020 combined it with complex theory evaluate its base, quality, CSC. results show that has obvious characteristics coastal cities. There a significant positive correlation CSC clustering efficiency sources, improving vegetation water nodes conducive enhancing networks. In terms functional restoration networks, four types 13 stepping stones 12 corridors have been designed strengthen connectivity balance network, improvement robustness before after optimization verifies scheme reasonable effective. This study improved method based on nodes, which provided theoretical framework practical reference for realization global strategic goals neutrality.
Language: Английский
Citations
13
Ecological Indicators, Journal Year: 2023, Volume and Issue: 158, P. 111378 - 111378
Published: Dec. 7, 2023
Intensive human activities have caused serious damage to the natural environment and threatened ecosystem services, while relationships between services at different spatial scales vary some extent. Therefore, identifying patterns, evolutionary trends, influencing factors of is more helpful in providing scientific decision-making for sustainable management. Taking eastern China as research area, with help a Gaussian mixture model, redundancy analysis geographically weighted regression models, spatiotemporal pattern evolution from multiple scale perspectives were conducted, interrelationships driving explored. It expanded knowledge how socio-ecological drivers ecosystems scales, enabled precise manipulation through models. The average value southern region was 0.672, which better than that northern region, 0.353. Ecosystem lower regions wide distribution arable land high population density economic development. relationship manifested synergistic relationship. As expanded, synergies trade-offs most ESs also stronger increase 18.42 %. Especially, developed small county level. From perspective service bundle, overall area has been greatly improved, enhanced supply function weakened vulnerability. provisioning bundles increased by an 10.31 % increased, regulation bundle decreased 7.33 By comparison, non-spatially driven model had accuracy 1 km2 100 km2, spatially higher scale. Besides, normalized difference vegetation index occupied absolute dominant position, elements acted micro-scale, socio-economic influential macro-scale. These results provided basis subsequent on multi-scale control ecological compensation strategies, showed social scale-dependent, it necessary study emphasized importance developing appropriate policies particular scales.
Language: Английский
Citations
13