Dynamic Changes and Driving Force of Ecosystem Services Values Under Land Use/Land Cover Scenarios in Nanning, China DOI Open Access
Jinlong Hu,

Zhenhong Bin,

Tingting Huang

et al.

Sustainability, Journal Year: 2024, Volume and Issue: 16(24), P. 10839 - 10839

Published: Dec. 11, 2024

A comprehensive understanding of the spatial and temporal patterns changes in ecosystem services, along with their driving factors, is crucial for managing ecosystems effectively ensuring sustainable development area. Intense human activities rapid urbanization have led to frequent land use/cover changes. Nanning, as a rapidly developing city, has received increasing attention its services. This research assesses valuation services by employing equivalent factor approach, utilizing use data from Nanning City spanning period 2000 2020. It analyzes dynamics these identifies key drivers through application GeoDetector model. The results show following: (1) Between 2020, forests were predominant City. During this period, significant type conversions occurred, largest outflow arable inflow construction land. (2) Over 20 years, aggregate value (ESV) exhibited declining trend, culminating net reduction USD 1056.8 million. Forest ESVs constituted proportion total value, exceeding 59%. Among individual ESVs, hydrological regulation climate collectively accounting over 48% contributing 20.7% 27.7%. (3) exhibit pronounced differentiation, higher values concentrated central regions lower peripheral zones. Notably, high-value zones are experiencing size, while low-value progressively expanding. (4) findings analysis indicate that soil organic matter, rate, annual sunshine, financial expenditure, population density primary determinants affecting ESV. Furthermore, explanatory power influencing factors substantially increased following interactive detection. provides scientific basis management strategies policies holds substantial significance advancing regional development.

Language: Английский

Impact of water supply on the restoration of the severely damaged riparian plants along the Tarim River in Xinjiang, Northwest China DOI Creative Commons
Jian Song, Florian Betz, Tayierjiang Aishan

et al.

Ecological Indicators, Journal Year: 2024, Volume and Issue: 158, P. 111570 - 111570

Published: Jan. 1, 2024

Restoring degraded ecosystems in drylands is challenging because of low precipitation and high evapotranspiration. Water availability determines the existence spatiotemporal distribution patterns key endangered species struggling to survive severely damaged desert riparian ecosystem lower Tarim River (LTR) NW China. Ecological water flow restoration measures with costs uncertainties have been implemented since 2000. The task for scientists assess success drawbacks this project propose specific recommendations stakeholders optimize ecological benefits a cost-effective manner. In study, Landsat time-series data from 1990 2020 were used extract vegetation index values river corridors along LTR explore forest (DRF) vegetation. Based on land use surface data, we extracted interannual spatial range water, selected several sample plots demonstrate influence groundwater change trends. study results showed following. 1) From 1999, slowly degraded; 2000 2012, extent was approximately 1 km river; 2013 2020, at Yingsu Karday sections increased 4.5–6.0 km, while that Arghan Yiganbujima remained within river. 2) growth rate substantially spatially heterogeneous when level reached 4.0–5.0 m influenced by divergence; average expansion rates per square P1–P4 0.017 km2/a, 0.011 0.005 0.002 respectively. 3) Flooding main driver stable elevations area often accompanied spreading water. Surface significantly correlated cover normalized difference (NDVI) (Water pixels–Vegetation [P1: R2 = 0.57, P < 0.001; P2: 0.45, 0.01]; pixels–NDVI 0.22, 0.05; 0.40, 0.01]). increase has alleviated desertification process LTR, survival poplar mitigated. paper can help decision makers formulate reasonable conveyance strategies realize sustainable management DRF arid zones.

Language: Английский

Citations

19
Multi-scenario simulation and evaluation of the impacts of land use change on ecosystem service values in the Chishui River Basin of Guizhou Province, China DOI Creative Commons

Chao Wu,

Zhijie Wang

Ecological Indicators, Journal Year: 2024, Volume and Issue: 163, P. 112078 - 112078

Published: April 29, 2024

Changes in land-use patterns are the main driving factors of ecosystem service values (ESVs). The quantitative evaluation ESVs is significant for sustainable development ecologically fragile areas. In this study, Chishui River Basin (CRB) China was selected as study region, and an intensity map (IM) used to analyze transformation land use/land cover (LULC). modified equivalent coefficient value method evaluate based on 2000, 2010, 2020 use datasets. spatial temporal distributions ESV its response changes LULC were analyzed using Getis-Ord Gi* statistical Spearman's rank correlation analysis. Moreover, over next 30 years four scenarios simulated Markov-PLUS model. following results obtained: 1) farmland forestland dominant categories, that pattern dramatically changed area; 2) total CRB decreased significantly from 23.21 billion yuan 2000 22.29 2020; 3) ecological conservation scenario promoted ESV, town more conducive urbanization process. Therefore, although showed a decreasing slowly increasing trend context series restoration measures, scientific protection policies must be continuously implemented achieve harmony between improvement development. Our provide important information making decisions facilitating protected basins.

Language: Английский

Citations

10
Construction of ecological network and its temporal and spatial evolution characteristics: A case study of Ulanqab DOI Creative Commons
Weijia Cao,

Guoxiu Jia,

Qingkang Yang

et al.

Ecological Indicators, Journal Year: 2024, Volume and Issue: 166, P. 112344 - 112344

Published: July 8, 2024

Language: Английский

Citations

6
Evaluation of Ecological Quality Status and Changing Trend in Arid Land Based on the Remote Sensing Ecological Index: A Case Study in Xinjiang, China DOI Open Access
Yimuranzi Aizizi, Alimujiang Kasimu, Hongwu Liang

et al.

Forests, Journal Year: 2023, Volume and Issue: 14(9), P. 1830 - 1830

Published: Sept. 7, 2023

Ecosystems in arid areas are under pressure from human activities and the natural environment. Long-term monitoring evaluation of ecosystems essential for achieving goal sustainable development. The Xinjiang Uygur Autonomous Region (Xinjiang) is a typical region located Northwest China with relatively sensitive ecosystem. Under support Google Earth Engine (GEE) cloud platform’s massive data collection, remote sensing ecological index (RSEI) 2000 to 2020, both summer spring, established, variation trend quality evaluated by coefficient (CV), Sen’s slope analysis, Mann–Kendall test (M–K test) Hurst index. In addition, partial correlation analysis processed between RSEI selected climatic factors, including precipitation temperature, find out mode climate. last two decades following has become apparent: (1) values have been low unstable toward increasing; (2) distribution characteristics levels spring similar; were concentrated desert wilderness, while high around oasis; (3) stable, sustained increase spring. There was also small area decrease Junggar Basin Turpan significant center Taklamakan Desert spring; (4) summer, obviously positively correlated Southwest. temperature northwestern part; Western oasis Yili River Tarim Basin.

Language: Английский

Citations

12
Determinants of land use conflicts with the method of cross-wavelet analysis: Role of natural resources and human activities in spatial-temporal evolution DOI
Yue Wang, Yuting Jiang, Wenying Li

et al.

Journal of Cleaner Production, Journal Year: 2023, Volume and Issue: 429, P. 139498 - 139498

Published: Oct. 30, 2023

Language: Английский

Citations

11
The Distribution and Evolution of Groundwater Level Depths and Groundwater Sustainability in the Hexi Corridor over the Last Five Years DOI Open Access
Le Cao,

Xuequan Liu,

Pucheng Zhu

et al.

Sustainability, Journal Year: 2024, Volume and Issue: 16(6), P. 2527 - 2527

Published: March 19, 2024

Groundwater overexploitation for agricultural irrigation is prone to lead numerous ecological concerns. This study delved into the present distribution and recent trend of groundwater levels in plain areas Hexi Corridor Northwest China according level depth (GWD) data from 264 monitoring wells Shiyang River Basin (SYB) 107 Shule (SLB), recorded annually April 2019 2023. The key findings include following: (1) Over five-year span, SYB’s GWD experienced change rates (CRs) ranging −12.17 9.11 m/a (average: −0.13 m/a), with number showing increased decreased GWDs accounting 50% 50%, respectively. By contrast, SLB’s exhibited CRs −1.87 2.06 0.01 52% 48%, respectively; (2) Wuwei (CR = 0.09 m/a) Changning (0.58 basins SYB Yumen (0.06 Guazhou (0.05 Huahai (0.03 SLB, witnessed rising levels. In Minqin (0.09 southern Dunhuang (0.04 SLB declines levels; (3) sustainability assessment showed that still extremely unsustainable. study’s insights are instrumental targeted treatment, as well preparation adjustment sustainable protection strategies.

Language: Английский

Citations

4
Spatio-temporal evolution of ecosystem service values and strategies analysis for implementation in the Yangtze River Delta urban agglomeration of China DOI
Juan Ji, D. Wang

Environment Development and Sustainability, Journal Year: 2025, Volume and Issue: unknown

Published: Jan. 15, 2025

Language: Английский

Citations

0
Spatiotemporal Assessment of Habitat Quality in Sicily, Italy DOI Creative Commons
Laura Giuffrida,

Marika Cerro,

Giuseppe Cucuzza

et al.

Land, Journal Year: 2025, Volume and Issue: 14(2), P. 243 - 243

Published: Jan. 24, 2025

We measured the spatiotemporal dynamics of habitat quality (HQ) in Sicily two different reference years, 2018 and 2050, assuming a business-as-usual scenario. To estimate HQ related vulnerability, we used Integrated Valuation Ecosystem Services Trade-offs (InVEST) Habitat Quality model data on land use/land cover provided by Esri Land Cover 2050 project. also implemented Coarse–Filter approach to validate reliability measures detect biodiversity hotspots that require priority conservation. Further, spatial statistic tools for identifying clusters or hotspot/coldspot areas uncovering autocorrelation values. Finally, geographically weighted regression (GWR) explaining local variations effects estimates. The findings reveal varies across space time. highest values occur protected forests. In 2018, average value was higher than it 2050. On average, decreased from 0.29 0.25 This slight decline mainly due an increase crop urbanized at expense forests, grasslands, bare lands. found existence positive HQ, demonstrating with lower tend be clustered, come into contact randomly more often as overall moved 0.28 1.30 estimated GWR revealed sign significance effect population density, compass exposure, temperature, patch richness level, such vary either time level. Across all variables, extent significant intensifies, signaling stronger localized influences study provide useful insights making informed decisions about conservation planning management Sicily.

Language: Английский

Citations

0
Response of Ecosystem Service Value to LULC Under Multi-Scenario Simulation Considering Policy Spatial Constraints: A Case Study of an Ecological Barrier Region in China DOI Creative Commons
Chen Zhang, Zhanqi Wang,

Hanwen Du

et al.

Land, Journal Year: 2025, Volume and Issue: 14(3), P. 601 - 601

Published: March 13, 2025

Analyzing the complex dynamics of land use, accurately assessing ecosystem service values (ESVs), and predicting future trends in use ESVs alterations within spatial constraints policies are essential for policymaking advancing sustainable development objectives. This study analyzed use/land cover (LULC) changes Yunnan Province from 2005 to 2020. Policy were incorporated into scenario simulations, an improved equivalent factor method, Markov-PLUS model, global autocorrelation, Getis-Ord Gi* method applied predict analyze LULC under different scenarios 2030. The findings revealed following: (1) Forests grasslands dominant categories YNP, with notable patterns recorded between (2) total area increased by CNY 8.152 billion during this period, exhibiting initial decline followed gradual recovery. (3) Simulations 2030 indicated that natural would lead most extensive urbanization, while ecological conservation yield greatest increase ESVs. In contrast, only farmland led food production-related ESVs, but resulted lowest among three scenarios. These results contribute understanding impacts on provide insights formulating scientifically sound effective protection policies.

Language: Английский

Citations

0
A health-service-risk framework for evaluating ecological carrying capacity in arid inland river basins: A case study of the Tarim River Basin DOI Creative Commons

Rongqin Yang,

Zhenxia Mu, Zilong Li

et al.

Ecological Indicators, Journal Year: 2025, Volume and Issue: 173, P. 113427 - 113427

Published: April 1, 2025

Language: Английский

Citations

0