Multi-scenario simulation analysis of cultivated land based on PLUS model—a case study of Haikou, China DOI Creative Commons
Xiaofu Lin, Hui Fu

Frontiers in Ecology and Evolution, Journal Year: 2023, Volume and Issue: 11

Published: June 2, 2023

Land-use changes have received increasing attention since the 1990s. Cultivated land is a vital resource with both natural and economic features. Socioeconomic development profoundly affects spatiotemporal evolution of cultivated land. In turn, change also reflects socioeconomic trend. This study took Haikou City, which has highest degree urbanization in Hainan Province, as area, analyzed characteristics its resources during past 20 years rapid development, predicted future trends on this basis, to provide scientific reference for rational use sustainable Haikou. applied single land-use dynamic (SLUDD) transfer matrix explore from 2000 2020. The patch-generating simulation (PLUS) model was introduced predict patterns under different scenarios 2030. results showed that: (1) although contributed Haikou's rate over years, accompanying expansion construction caused damage resources, especially urban suburbs. Site conditions, differential benefits, radiation may be potential influencing factors leading loss peri-urban land; (2) it verified that PLUS applies prediction Haikou; (3) not only continued original zone but exposed new sites loss. Although an inevitable trend, there still hope can controlled, example, conservation scenario. three essential values maintenance security

Language: Английский

Influence of land use change on habitat quality: a case study of coal mining subsidence areas DOI
Yedong Chen, Jiang Chang, Zixuan Li

et al.

Environmental Monitoring and Assessment, Journal Year: 2024, Volume and Issue: 196(6)

Published: May 10, 2024

Language: Английский

Citations

9

Spatial-temporal evolution of habitat quality in tropical monsoon climate region based on “pattern–process–quality” – a case study of Cambodia DOI Creative Commons
Junmei Kang, Fengshuo Yang, Jun Wang

et al.

Open Geosciences, Journal Year: 2025, Volume and Issue: 17(1)

Published: Jan. 1, 2025

Abstract Exploring the coupling relationship of “pattern–process–quality” is conducive to understanding internal mechanism habitat quality change, and great significance for function maintenance sustainable management regional ecosystems. Existing studies mainly analyze spatial-temporal evolution from perspective “pattern quality” land use data. However, variation in result many factors such as habitat. Therefore, it necessary consider these comprehensively when studying change quality, so understand more deeply. This study takes Cambodia, a tropical monsoon climate region, research area, uses cover data 2000 2022 source. InVEST model used explore between use, landscape pattern, ecological process. The results show that (1) during 2000–2022, forest Cambodia covered wide range, showing pattern distributed east west. (2) degree fragmentation impervious increased gradually 2022, indicating was seriously affected by human activities natural factors, with increase elevation slope, area various types converted decreased. (3) During high areas were concentrated Tonle SAP Lake east, southwest, central part while low part. (4) Natural socio-economic policies, regulations all have an impact on Cambodia.

Language: Английский

Citations

1

Construction and optimization of ecological network in inland river basin based on circuit theory, complex network and ecological sensitivity: A case study of Gansu section of Heihe River Basin DOI

Aokang Xu,

Mengjun Hu,

Jing Shi

et al.

Ecological Modelling, Journal Year: 2023, Volume and Issue: 488, P. 110578 - 110578

Published: Dec. 12, 2023

Language: Английский

Citations

20

Response and Multi-Scenario Prediction of Carbon Storage and Habitat Quality to Land Use in Liaoning Province, China DOI Open Access

Dongfeng Ren,

Aihua Cao, Fei Wang

et al.

Sustainability, Journal Year: 2023, Volume and Issue: 15(5), P. 4500 - 4500

Published: March 2, 2023

Liaoning Province, as an old industrial urban agglomeration since the founding of China, is important link between Bohai Economic Zone and Northeast Zone, it has made great contributions to economic development China. The transformation China’s economy heavy have posed challenges long-lasting growth Province. In this study, driving force land expansion was detected using patch-generating use simulation (PLUS) model in situation 2030 predicted under natural development, ecological protection, scenarios. We then further coupled PLUS with integrated valuation ecosystem services trade-offs (InVEST) explore spatial autocorrelation synergistic relationship carbon storage habitat quality. results indicated following: (1) total accuracy 2020 reached 94.16%, Kappa coefficient 0.9089; therefore, result highly reliable. (2) overall pattern both quality decreased from northwest southeast middle, had impact on a certain extent, positive correlation. (3) protection (EP) scenario only prospect increasing storage, which could increase sequestration by approximately 7.83 × 106 Mg/C, prospects optimal (4) Weak trade-off weak synergy dominated (ND) scenario; most regions showed scenario, heterogeneity became more pronounced (ED) strong emerged individual regions. study feedback effect establishing security barrier Province furthering low-carbon development.

Language: Английский

Citations

19

Spatial–Temporal Changes and Prediction of Carbon Storage in the Tibetan Plateau Based on PLUS-InVEST Model DOI Open Access
Huihui Zhao, Bing Guo, Guojun Wang

et al.

Forests, Journal Year: 2023, Volume and Issue: 14(7), P. 1352 - 1352

Published: June 30, 2023

The changes in the recent and future spatial–temporal patterns of carbon storage Tibetan Plateau its dominant factors different periods were unclear, conducive to optimizing spatial layout land. Exploring temporal terrestrial ecosystem their influencing during a long study period had important theoretical practical significance for achieving goal neutrality. In this study, Integrated Valuation Ecosystem Services Trade-offs model (InVEST) was used analyze based on vegetation-type data 2000–2020. Path-generating Land-Use Simulation (PLUS) then predict distribution 2030 2060 under inertial development, farmland protection ecology priority scenarios. results showed that: (1) degradation vegetation types reduced period. During 2000–2020, desert shrub non-vegetation area expanded by 63.21% 13.35%, respectively, while deciduous scrub, mixed forest low coverage grassland decreased accordingly. decreasing trend 0.37 × 106 t. (2) consistent with that types. (3) 2060, constraint ecological reduction smallest, at 0.01 t 0.16 t, respectively. Under largest reduction, 0.12 0.43 (4) single factor greatest impacts FVC (vegetation coverage), q values 0.616, 0.619 0.567, interactive effects mainly nonlinear enhancement double-factor enhancement. impact DEM (Digital Elevation Model), 0.94, 0.92 0.90, Therefore, land high should be protected expansion areas restricted planning improve level achieve

Language: Английский

Citations

17

Long-term assessment of ecological risk dynamics in Wuhan, China: Multi-perspective spatiotemporal variation analysis DOI
Zhong Zhang,

Jian Gong,

Antonio Plaza

et al.

Environmental Impact Assessment Review, Journal Year: 2023, Volume and Issue: 105, P. 107372 - 107372

Published: Dec. 9, 2023

Language: Английский

Citations

17

Spatiotemporal Variation and Driving Factors Analysis of Habitat Quality: A Case Study in Harbin, China DOI Creative Commons
Yuxin Qi, Yuandong Hu

Land, Journal Year: 2024, Volume and Issue: 13(1), P. 67 - 67

Published: Jan. 6, 2024

Biodiversity is profoundly influenced by habitat quality, and Harbin, a provincial capital situated in cold climate zone, stands out as one of China’s regions most susceptible to the repercussions change. To ensure city’s continued sustainable growth, thorough assessment quality must be conducted. This study employs comprehensive approach integrating InVEST model, PLUS landscape pattern analysis, geographic detector, geographically weighted regression model. The goal assess how land use have changed Harbin City, investigate factors contributing spatial heterogeneity thoroughly examine evolutionary patterns under inertial development scenario from 2030 2050, propose optimization strategies. There are four key findings. First, 2000 2020, agricultural forest were City’s two prevalent types. notable transition occurred grassland, expansion construction primarily resulted its encroachment into areas. Second, within area study, increased while simultaneously experiencing decrease connectivity, had tendency toward more fragmented distribution. Third, overall rose between 2020 but declined 2050. was “weak west high east” distribution quality. Fourth, population density has impact on with NDVI GDP close behind. Conversely, precipitation slope comparatively smaller influences Natural combined favorable influence across research region terms discernibly detrimental impact. Given these findings, this suggests targeted strategies optimize These recommendations relevant not only for biodiversity conservation also an ecologically community, particularly region.

Language: Английский

Citations

7

A Study of the Spatiotemporal Evolution Patterns and Coupling Coordination between Ecosystem Service Values and Habitat Quality in Diverse Scenarios: The Case of Chengdu Metropolitan Area, China DOI Open Access
Gaoliu Huang,

S. Feng,

Chunguang Hu

et al.

Sustainability, Journal Year: 2024, Volume and Issue: 16(9), P. 3741 - 3741

Published: April 29, 2024

The global ecological decline resulting from urban development presents a significant challenge for numerous regions striving to reconcile conservation efforts with developmental needs. This study explores the relationship between ecosystem service value (ESV) and habitat quality (HQ) under various scenarios elucidate prospective trajectories. utilized PLUS model simulate land use patterns in Chengdu metropolitan area across four distinct scenarios. Furthermore, it employed equivalent factor method Invest quantify ESV HQ values, investigated coupling coordination each city using (CCM). findings are as follows: (1) Between 2000 2020, primarily expanded through of construction land. (2) Concurrently, demonstrated fluctuating trend characterized by an initial succeeded upsurge, culminating Development–Ecological Balance Scenario. Likewise, displayed similar pattern increase, reaching its zenith Ecological Dominance (3) exhibited variability cities Ultimately, this offers distinctive perspective on evaluating interplay conservation, providing valuable insights promoting sustainable other regions.

Language: Английский

Citations

7

Coupled InVEST–MGWR modeling to analyze the impacts of changing landscape patterns on habitat quality in the Fen River basin DOI Creative Commons

Juemei Wu,

Yanjun Hou,

Zheng Cui

et al.

Scientific Reports, Journal Year: 2024, Volume and Issue: 14(1)

Published: June 7, 2024

Abstract The present study employed remote sensing images of the Fen River Basin from 2005, 2010, 2015, and 2020 as primary data source. software ENVI, ArcGIS, Fragstats 4.2 were utilized to measure landscape pattern index Basin. A collinearity test was conducted remove any redundant indices. Based on selected indices, values ascertained follows. Using shifting window method, obtained. Second, habitat quality in assessed using InVEST model, spatial autocorrelation approach confirm that spatially autocorrelated. Finally, impacts indices examined MGWR model. results show (1) Basin's overall declined between 2005 2020; however, deterioration slowed with time had a typical "poor middle high around margins" distribution. low-value area continued increase, lower-value decreased annually, middle-value then increased, higher-quality tended decrease, increase again, high-quality annually. (2) fit model greater than those OLS traditional GWR models, it able more clearly illustrate various roles play one another. (3) Changes patterns major impact quality; positively impacted by PD AI, negatively MESH, positive negative bidirectional effects CONTAG AI.

Language: Английский

Citations

7

Assessing land-use changes and carbon storage: a case study of the Jialing River Basin, China DOI Creative Commons

Shuai Yang,

Liqin Li, Renhuan Zhu

et al.

Scientific Reports, Journal Year: 2024, Volume and Issue: 14(1)

Published: July 10, 2024

Land-use change is the main driver of carbon storage in terrestrial ecosystems. Currently, domestic and international studies mainly focus on impact changes climate, while land-use complex ecosystems are few. The Jialing River Basin (JRB), with a total area ~ 160,000 km

Language: Английский

Citations

7