Synergies and Trade-Offs among Different Ecosystem Services through the Analyses of Spatio-Temporal Changes in Beijing, China DOI Creative Commons
Qiurong Xu, Ruipeng Li, Jia Yu

et al.

Land, Journal Year: 2023, Volume and Issue: 12(5), P. 1000 - 1000

Published: May 3, 2023

Increasing global urbanization has not only resulted in economic development but it also caused a number of ecological issues, such as haze, warming, and storm surges, which can end up hindering the human society long term. One method maintaining long-term growth ecosystems is by considering ecosystem services (ES) when making decisions over land use. This study provides information to aid with decision maintenance Beijing’s ES provision Firstly, three key ES, namely, carbon storage (CS), habitat quality (HQ), water yield (WY), were evaluated InVEST model. Then, spatial patterns synergies trade-offs among at city grid scales explored through correlation coefficients analysis geographically weighted regression (GWR). Finally, strength was calculated based on root mean squared error (RMSE), potential risk areas are recognized. We discovered that (1) total decreases from 3.74 million tons 2000 3.66 2020, HQ same trend, its average value decreasing 0.72 0.67; contrast, more stable, increasing slightly 8.22 × 1010 m3 8.23 2020. (2) The spatially heterogeneous. Among them, city-level indicated synergistic relationships CS-WY WY-HQ always have trade-off level, where 37.88% 14.59% (3) At urban-rural interface, stronger than those other regions. In rural-urban areas, RMSE CS-HQ, had high values (>0.5), accounting for 16.72%, 9.33%, 26.94% entire area, respectively; these identified will be focus area future regulation. These findings provide opportunities clear promote positive synergies. addition, land-use management may use results guide service use, identify critical ensure regional sustainability urban development.

Language: Английский

Enhancing riverine load prediction of anthropogenic pollutants: Harnessing the potential of feed-forward backpropagation (FFBP) artificial neural network (ANN) models DOI Creative Commons

Khairunnisa Khairudin,

Ahmad Zia Ul–Saufie, Syahrul Fithry Senin

et al.

Results in Engineering, Journal Year: 2024, Volume and Issue: 22, P. 102072 - 102072

Published: April 4, 2024

Assessing riverine pollutant loads is a more realistic method for analysing point and non-point anthropogenic pollution sources throughout watershed. This study compares numerous mathematical modelling strategies estimating based on the chosen water quality parameters: Biochemical Oxygen Demand (BOD), Chemical (COD), Suspended Solids (SS), Ammoniacal Nitrogen (NH3–N). A load model was developed by employing various input variables including river flow concentration values collected at several monitoring sites. Among methods employed are artificial neural networks with feed-forward backpropagation algorithms radial basis functions. The classical multiple linear regression (MLR) statistical used comparison. Four widely performance assessment metrics were adopted to evaluate of models: root mean square error (RMSE), absolute (MAE), relative (MRE), coefficient determination (R2). considerable number errors (with RMSE, MAE, MRE) discovered in using can be attributed nonlinear relationship between independent (Q Cx) dependent (W). network algorithm Bayesian regularisation training outperformed network. finding implies that, addition suspended sediment loads, may predicted an (Cx) discharge (Q) as variables. Other geographical temporal fluctuation characteristics that impact quality, other hand, incorporated enhance prediction. Finally, analyses successfully conducted reduce load.

Language: Английский

Citations

5
Windbreak and sand fixation service flow simulation in the terminal lake basin of inland rivers in arid regions: A case study of the Aral Sea basin DOI

Yonglong Han,

Xiaofei Ma, Wei Yan

et al.

The Science of The Total Environment, Journal Year: 2024, Volume and Issue: 945, P. 174047 - 174047

Published: June 15, 2024

Language: Английский

Citations

5
Habitat Quality Assessment and Ecological Risks Prediction: An Analysis in the Beijing-Hangzhou Grand Canal (Suzhou Section) DOI Open Access
Yixin Zhang, Chenyue Zhang, Xindi Zhang

et al.

Water, Journal Year: 2022, Volume and Issue: 14(17), P. 2602 - 2602

Published: Aug. 24, 2022

With the fast pace of global urbanization, anthropogenic disturbances not only lead to frequent disasters, but also cause direct and indirect ecological economic losses. To reduce adverse effects as part sustainable ecosystem management, assessments habitat quality risk are necessary. The objectives this study analyze environmental conditions Beijing-Hangzhou Grand Canal (Suzhou section) for evaluating degradation, conduct ecological-risk early warning assessment in section. is longest first canal world be artificially excavated from natural rivers lakes. By using InVEST suite open-source software models mapping valuing ecosystem, it was found that lands with high such wetlands, forests lakes along Suzhou section have gradually decreased, while construction roads buildings increased; there a clear trend decreasing areas increasing low quality, which likely result urbanization. It region has degradation index, meaning located at junction different land types vulnerable surrounding environment due narrow buffer zones allow easily affected by quality. In terms risks, area downstream locations declining, thereby risks pollution flooding events reducing ecosystem’s resilience. valuation model used can an effective decision-support tool prioritize important conservation Canal, adapted use management other regions.

Language: Английский

Citations

19
The Factors Affecting the Quality of the Temperature Vegetation Dryness Index (TVDI) and the Spatial–Temporal Variations in Drought from 2011 to 2020 in Regions Affected by Climate Change DOI Open Access
Yuchen Guo, Liusheng Han,

Dafu Zhang

et al.

Sustainability, Journal Year: 2023, Volume and Issue: 15(14), P. 11350 - 11350

Published: July 21, 2023

The temperature vegetation dryness index (TVDI) is widely used for the monitoring of global or regional drought because its strong drought-monitoring capabilities and ease implementation. However, temporal errors in land surface (LST) normalized difference (NDVI) can affect warm cold edges, thus determining quality TVDI, especially regions affected by climate change, such as Shandong Province. This paper explores this issue region 2011, using daily MODIS MOD09GA MOD11A1 data products. For each image acquisition time, edges NDVI–LST were extracted based on NDVI, derived from red near-infrared reflectance data, LST, dataset. Then, variations with LST NDVI analyzed. Subsequently, influence values temperature, precipitation during observed period, was assessed a linear regression. soil moisture (SM) obtained Global Land Data Assimilation System (GLDAS) datasets crop water stress (CWSI) MOD16A2 products assessment. spatial Province 2011 to 2020 measured Theil–Sen median trend analysis Mann–Kendall test. results show that apparently random evident evolution slope edge, indicating appropriate determine boundary edge. Daily also edge similar way. Additionally, change had negative correlation positive intercept. validation there significant between TVDI GLDAS (R2 > 0.62) 12 scatter plots. Therefore, we deduced monthly yearly product produced has higher precision than 8-day change. slight moderate droughts first increased then decreased, and, particular, some areas presented severe 2015. study are important scheduling irrigation warnings.

Language: Английский

Citations

11
The maximum threshold of vegetation restoration (EVI-Area) in typical watersheds of arid regions under water constraints DOI Creative Commons
Wenqi Wang, Feifei Han,

Zijie Kong

et al.

Ecological Indicators, Journal Year: 2024, Volume and Issue: 158, P. 111580 - 111580

Published: Jan. 1, 2024

Accurate ecological water regulation to achieve the optimal coupling between supply and vegetation demand is key challenge for conservation in arid regions. Previous studies have mainly focused on relationship specific methods However, there has been limited attention maximum thresholds of Enhanced Vegetation Index (EVI) area protection restoration under conditions. Therefore, this study targets mainstream Tarim River conducts a systematic analysis EVI constraints. Firstly, change patterns were discriminated using logistic Gaussian functions. The results indicated that with enhanced watershed resources management, both Evapotranspiration (ET) showed an increasing trend, which was projected continue future. Based discrimination patterns, innovatively defined regions linear, logarithmic, logical, as expansion zones requiring priority ensuring supply, exponential quality improvement improving quality. By extracting ET indicators constructing copula function two zones, joint distribution revealed constraints, range natural area-EVI threshold 17959.02 (EVI: 0.137) ∼ 18279.75 km2. zone 0.223. Under current conditions, average 0.137 (stable level), indicating 0.137. During normal years, besides restoration, could still expand by 665.06 985.79 km2, corresponding In wet 5172.53 5493.26 22466.49 22787.22

Language: Английский

Citations

4
Dynamics of ecosystem service values in the Tarim River Basin DOI Creative Commons

Mengxin Sun,

Xin Shen,

Hailiang Xu

et al.

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

Published: Feb. 3, 2025

Introduction Understanding spatial and temporal variations in ecosystem service values (ESV) their driving factors is essential for effective management decision-making. This study focuses on the Tarim River Basin, specifically Aksu, Yarkant, Hotan, Kaidu Peacock Rivers, mainstream River, which flow through key administrative regions. Methods We analyzed multi-temporal land use cover (LULC) data from 2000, 2005, 2010, 2015, 2020, applying comparable coefficient method to assess ESV changes distribution. Geospatial analysis was used identify drivers of interactions. Results (1) The pattern area has remained stable, with fluctuations driven by government policies climate change. Farmland expanded over 10% 2000 but its growth slowed between 2015 2020 due “Grain Green” policy. Built-up areas grew significantly 2005 2010 declined afterward stricter urban planning. Glaciers have reduced area, though meltwater contributed increase water bodies wetlands. (2) increased 99.34 billion, grasslands contributing 60% 10%, respectively. peaked wetland body expansion, as wetlands shrank glaciers retreated. (3) Key natural include vegetation health (NDVI), proximity bodies, precipitation, while socioeconomic like GDP grown influence. Interactions development complicate dynamics ESV. Discussion results indicate that change influence are increasingly impactful. complex interactions important implications highlights need consider both planning management.

Language: Английский

Citations

0
Research Progress in the Intelligent Identification of Ecologically Vulnerable Areas and its Prospects in the Mongolian Plateau DOI
Meng Wang, Juanle Wang, Altansukh Ochir

et al.

Journal of Resources and Ecology, Journal Year: 2025, Volume and Issue: 16(1)

Published: Feb. 5, 2025

Language: Английский

Citations

0
Ecological Zoning Based on Suitability Evaluation of Ecological Product Development from the Value-Risk-Cost-Demand Perspective DOI Creative Commons
Ming Gao, Pei Du, Xinxin Zhou

et al.

ISPRS International Journal of Geo-Information, Journal Year: 2025, Volume and Issue: 14(3), P. 118 - 118

Published: March 6, 2025

Current ecological value assessment models predominantly emphasize the potential of resources, neglecting crucial aspect realization processes. Analyzing resources from perspective products (EPs) is more instructive in realizing values. The key factors controlling product are value, risk, development costs, and human demand. Previous research has rarely integrated these four within zoning framework. This study proposes a suitability evaluation framework for based on “value-risk-cost-demand” perspective. First, an index system was developed, dividing EPs into agriculture (EA), industry (EI), tourism (ET), assessing them using 13 indicators. Ecological risks were modeled multi-scale patch analysis (MSPA) other models. Development costs estimated cost entropy. impact population dynamics EP demand quantified density, night-time light data, average land GDP, along with stacked buffer analysis. Next, improved TOPSIS method applied to integrate dimensions, producing comprehensive development. Finally, determined by overlaying results. used identify dominant mode zones region Jintan District, Jiangsu Province, China. findings suggest that model proposed this produced reasonable outcomes terms spatial layout, use area, reduction fragmentation risk. conclusion supported distribution comparisons, optimal area deviation analyses, landscape calculations multi-model driven future simulations. effectively resolves mismatch present traditional approach, which solely focuses EPs. can be regions developed economies rich providing effective reference choice paths realize

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
Ecological function regionalization of the core area of the Beijing-Hangzhou Grand Canal based on the leading ecological function perspective DOI
Dazhi Yang, Wei Song

Ecological Indicators, Journal Year: 2022, Volume and Issue: 142, P. 109247 - 109247

Published: Aug. 5, 2022

Language: Английский

Citations

14