Multi-Scenario Simulation of Land Use and Landscape Ecological Risk Response Based on Planning Control DOI Open Access
Nan Wang,

Peijuan Zhu,

Guohua Zhou

et al.

International Journal of Environmental Research and Public Health, Journal Year: 2022, Volume and Issue: 19(21), P. 14289 - 14289

Published: Nov. 1, 2022

This study applied territorial spatial planning control to a land use multi-scenario simulation in Changde, China, and measured the landscape ecological risk response. It embedded five schemes, respectively, involving inertial development, urban expansion size quantity control, structure zoning comprehensive control. Findings show that: (1) Woodland arable Changde occupy 31.10% 43.35% of use, constitute main functional space research area. The scale construction has enlarged continuously, with represented by woodland water constantly squeezed occupied. (2) Comprehensive most remarkable restraining effect on disordered spread land, while is effective way shrinkage. (3) overall index expanded over 2009–2018, presenting an S-type time evolution curve “sharp increase–mitigation”. Landscape presents single-core, double-layer circle north east regions as core, attenuating periphery. (4) under increased significantly more than other scenarios. best prevented restrained disorderly land.

Language: Английский

Landscape ecological risk assessment and driving factor analysis in Dongjiang river watershed DOI

Hamed Karimian,

Wenmin Zou,

Youliang Chen

et al.

Chemosphere, Journal Year: 2022, Volume and Issue: 307, P. 135835 - 135835

Published: Aug. 11, 2022

Language: Английский

Citations

108
Spatio-Temporal Evolution and Prediction of Carbon Storage in Guilin Based on FLUS and InVEST Models DOI Creative Commons
Yunlin He,

Jiangming Ma,

Zhang Changshun

et al.

Remote Sensing, Journal Year: 2023, Volume and Issue: 15(5), P. 1445 - 1445

Published: March 4, 2023

In the context of sustainable development and dual-carbon construction, to quantify carbon storage its spatial-temporal distribution characteristics Guilin City predict in 2035 under different future scenarios, this study set four scenarios based on SDGs plan City: natural development, economic priority, ecological development. At same time, FLUS InVEST models GeoDa 1.20and ArcGIS software were used establish a coupling model land use change ecosystem simulate future. The results showed that: (1) From 2005 2020, forest was main type Guilin, cropland impervious continued expand. 2035, will be an important transformation type; (2) northwest relatively high, loss area larger than increase area. priority scenario is highest, reaching 874.76 × 106 t. aboveground (ACG) pool Guilin. Most regions with high are located northeast No matter what scenario, urban maintained at low level; (3) has strong spatial positive correlation, more hot spots cold spots. high-value areas concentrated east, whereas low-value

Language: Английский

Citations

55
Evaluation of landscape ecological risk in key ecological functional zone of South–to–North Water Diversion Project, China DOI Creative Commons
Tan Li, Wei Luo, Bin Yang

et al.

Ecological Indicators, Journal Year: 2023, Volume and Issue: 147, P. 109934 - 109934

Published: Jan. 25, 2023

The key ecological functional zone plays a significant role in maintaining ecosystem security, water conservation function and environmental protection. However, owing to rapid industrialization urbanization, some zones have undergone great changes land use, which has changed the landscape pattern characteristics resulted risks, affecting regional environment security. In this study, core source area of Middle Route China's South–to–North Water Diversion Project is selected as case study. A risk index (ERI) was constructed evaluate driven by use transformation. Moreover, ERI's spatiotemporal were investigated using combination geographic information systems geostatistical techniques, reveal dominant types associated with risks their causes. We found that (1) there not notable shift level increased slightly from 2010 2015. conversion previously unproductive into places for industrial production agricultural productive played phenomenon. From 2015 2020, Danjiangkou Reservoir officially started operation. Furthermore, improvement residents' awareness protection natural forest significantly reduced risk. (2) strong positive autocorrelation, exhibiting high east center, low west periphery. (3) An obvious corresponding relation exists between impacts topography, soil, climate on patterns Additionally, strict policies implemented Chinese government realized remarkable achievements promoting risks. Our study can provide decision–making basis local authorities conduct prevention activities ensure sustainable northward flow clean water.

Language: Английский

Citations

37
The Effects of Spatial Resolution and Resampling on the Classification Accuracy of Wetland Vegetation Species and Ground Objects: A Study Based on High Spatial Resolution UAV Images DOI Creative Commons
Jianjun Chen, Zizhen Chen,

Renjie Huang

et al.

Drones, Journal Year: 2023, Volume and Issue: 7(1), P. 61 - 61

Published: Jan. 15, 2023

When employing remote sensing images, it is challenging to classify vegetation species and ground objects due the abundance of wetland high fragmentation objects. Remote images are classified primarily according their spatial resolution, which significantly impacts classification accuracy However, there still some areas for improvement in study effects resolution resampling on results. The area this paper was core zone Huixian Karst National Wetland Park Guilin, Guangxi, China. aerial (Am) with different resolutions were obtained by utilizing UAV platform, resampled (An) pixel aggregation method. In order evaluate impact accuracy, Am An utilized based geographic object-based image analysis (GEOBIA) method addition various machine learning classifiers. results showed that: (1) multi-scale both optimal scale parameter (SP) processing time decreased as diminished multi-resolution segmentation process. At same SP greater than that Am. (2) case An, appropriate feature variables different, spectral texture features more significant those (3) classifiers exhibited similar trends ranging from 1.2 5.9 cm, where overall increased then accordance decrease resolution. Moreover, higher An. (4) at scales, differed between

Language: Английский

Citations

34
Ecological Risk Assessment and Prediction Based on Scale Optimization—A Case Study of Nanning, a Landscape Garden City in China DOI Creative Commons
Jianjun Chen, Yanping Yang, Zihao Feng

et al.

Remote Sensing, Journal Year: 2023, Volume and Issue: 15(5), P. 1304 - 1304

Published: Feb. 26, 2023

Analysis and prediction of urban ecological risk are crucial means for resolving the dichotomy between preservation economic development, thereby enhancing regional security fostering sustainable development. This study uses Nanning, a Chinese landscape garden city, as an example. Based on spatial granularity extent perspectives, using 30 m land use data, optimal scale assessment (ERA) is confirmed. also explores patterns temporal changes in Nanning scale. At same time, Patch-generating Land Use Simulation model used to predict Nanning’s 2036 under two scenarios propose conservation recommendations light results. The results show that: 120 7 km best scales ERA Nanning. Although distribution levels obviously different, overall relatively low, scenario protection 2036, area high small. can provide theoretical support cities civilization construction.

Language: Английский

Citations

24
Exploring the Drivers of Soil Conservation Variation in the Source of Yellow River under Diverse Development Scenarios from a Geospatial Perspective DOI Open Access
Ming Ling, Jianjun Chen,

Yanping Lan

et al.

Sustainability, Journal Year: 2024, Volume and Issue: 16(2), P. 777 - 777

Published: Jan. 16, 2024

Soil conservation (SC) plays a vital role in preventing soil erosion and ensuring ecological security. While current research on SC primarily focuses historical spatiotemporal variations, there remains dearth of sufficient simulation exploring future development scenarios. In this study, simulations were applied to the source Yellow River (SYR), representative ecologically fragile area. Satellite remote sensing product data, including precipitation, soil, land use/cover, DEM, SPOT/VEGETATION NDVI, utilized. The evolutionary trends SYR quantitatively assessed using Revised Universal Loss Equation (RUSLE) trend analysis method, geographical detector was employed explore forces driving spatial differentiations SC. results demonstrated that: (1) 2000–2020, heterogeneity characterized by distribution “gradually decreasing from Southeast Northwest”, “increasing, decreasing, then increasing”. (2) Under diverse scenarios, change predominantly rising, natural scenario (NCS) > (ECS) economic expansion (EES). (3) Slope most important single driver affecting differentiation SC, interaction slope with average annual NDVI had strongest explanatory ability. can serve as scientific basis for regional protection construction SYR.

Language: Английский

Citations

9
Landscape Ecological Risk Assessment and Impact Factor Analysis of the Qinghai–Tibetan Plateau DOI Creative Commons

Sishi Wang,

Xin Tan, Fenglei Fan

et al.

Remote Sensing, Journal Year: 2022, Volume and Issue: 14(19), P. 4726 - 4726

Published: Sept. 21, 2022

The Qinghai–Tibetan Plateau (QTP) is one of the most vulnerable ecosystems worldwide. Over last few decades, QTP has been subjected to increasing external pressures, such as climate change, human activity, and natural hazards. Therefore, ecological risk assessment vital for environmental protection sustainable development QTP. A landscape (LER) based on disturbance vulnerability was performed explore spatiotemporal characteristics associated with LER in from 1990 2020. Furthermore, impact quantitatively evaluated a boosted regression tree model. Results showed that more than 70% locations exhibited below-medium LER. demonstrated downward trends presented during periods 2001 2012 2020 no significant trend period 2002 2011. Additionally, high-LER areas were concentrated northwestern QTP, whereas low-LER mainly southeastern displayed clustering across Changes climate, topographic distribution, activity influenced stability study area. Precipitation temperature had strongest effects LER, followed by elevation grazing intensity. Lower precipitation temperatures higher Our results provide precise specific support management other ecologically fragile areas.

Language: Английский

Citations

38
Landscape Pattern and Ecological Risk Assessment in Guilin Based on Land Use Change DOI Open Access

Yanping Lan,

Jianjun Chen, Yanping Yang

et al.

International Journal of Environmental Research and Public Health, Journal Year: 2023, Volume and Issue: 20(3), P. 2045 - 2045

Published: Jan. 22, 2023

The land use and ecological risk patterns in Guilin, which is the only innovation demonstration zone under National Sustainable Development Agenda China with a focus on sustainable of natural resources, have changed significantly as result combined impact climate change human activities, thus presenting challenges to development local area. This research employs an assessment model spatial analysis techniques order analyze correlation between risk, evaluate temporal evolution characteristics at overall county scales Guilin. results reveal following: (1) A total 1848.6 km2 types Guilin from 2000 2020, construction has gradually expanded central urban area suburbs increasing internal stability each year. (2) level showed decreasing trend city scale, but some regions still distribution scale. (3) value significant correlation, clustering effect, was consistent class areas. can provide reference for control landscape resource cities.

Language: Английский

Citations

17
Construction and Optimization of an Ecological Network in the Yellow River Source Region Based on MSPA and MCR Modelling DOI Open Access
Jia Liu, Jianjun Chen, Yanping Yang

et al.

International Journal of Environmental Research and Public Health, Journal Year: 2023, Volume and Issue: 20(4), P. 3724 - 3724

Published: Feb. 20, 2023

The source region of the Yellow River (SRYR) is an important water conservation and farming area in China. Under dual influence natural environment external pressure, ecological patches are becoming increasingly fragmented, landscape connectivity continuously declining, which directly affect patch pattern SRYR sustainable development. In SRYR, morphological spatial analysis (MSPA) index methods were used to extract ecologically sources. Based on minimum cumulative resistance model (MCR), Linkage Mapper was generate a potential corridor, then stepped stone identified extracted by gravity betweenness centrality build optimal network. distribution core accounting for 80.53% total grassland area. 10 sources based 15 corridors MCR mainly distributed central eastern regions SRYR. Through centrality, added, 45 planned obtained optimize network enhance east west connectivity. Our research results can provide reference protection ecosystem, have guiding significance practical value construction fragmented areas.

Language: Английский

Citations

17
Evaluation of driving effects of carbon storage change in the source of the Yellow River: A perspective with CMIP6 future development scenarios DOI Creative Commons
Ming Ling, Zihao Feng, Zizhen Chen

et al.

Ecological Informatics, Journal Year: 2024, Volume and Issue: 83, P. 102790 - 102790

Published: Aug. 23, 2024

Language: Английский

Citations

5