Dynamic Simulation and Prediction of Carbon Storage Based on Land Use/Land Cover Change from 2000 to 2040: A Case Study of the Nanchang Urban Agglomeration DOI Creative Commons

Yuheng Fu,

Min Huang, Daohong Gong

et al.

Remote Sensing, Journal Year: 2023, Volume and Issue: 15(19), P. 4645 - 4645

Published: Sept. 22, 2023

Land use/land cover change (LUCC) constitutes a significant contributor to variations in the storage of carbon within ecosystems and holds substantial significance context cycling process. This study analyzed land use data from Nanchang urban agglomeration 2000 2020 investigate changes using PLUS model GIS. The results show following: (1) From 2020, experienced reductions extents croplands, woodlands, grasslands, unused lands. predominant trend transformation involved conversion cropland into built-up land. (2) Between there was declining trajectory observed for agglomeration, with an overall decrease 1.13 × 107 t. space is characterized by high-altitude perimeter low-altitude center. Urbanization’s encroachment on main reason storage. (3) predictive outcomes reveal that, 2040, will be reduced 1.00 t under natural development scenario, 3.90 106 increased 2.29 105 t, respectively, protection ecological scenarios. risk loss significantly policy interventions. Our analysis patterns distribution over past 20 years our exploration next conservation provide reference basis increasing sink core area city cluster Poyang Lake realizing sustainable city.

Language: Английский

Simulating future land use by coupling ecological security patterns and multiple scenarios DOI
Wenbin Nie, Bin Xu, Fan Yang

et al.

The Science of The Total Environment, Journal Year: 2022, Volume and Issue: 859, P. 160262 - 160262

Published: Nov. 16, 2022

Language: Английский

Citations

109

The impact of land use and land cover changes on the landscape pattern and ecosystem service value in Sanjiangyuan region of the Qinghai-Tibet Plateau DOI
Xinyi Duan, Yan Chen, Lingqing Wang

et al.

Journal of Environmental Management, Journal Year: 2022, Volume and Issue: 325, P. 116539 - 116539

Published: Oct. 20, 2022

Language: Английский

Citations

85

Evaluating the impacts of land use change on ecosystem service values under multiple scenarios in the Hunshandake region of China DOI
Yu Xiao,

Mengdong Huang,

Gaodi Xie

et al.

The Science of The Total Environment, Journal Year: 2022, Volume and Issue: 850, P. 158067 - 158067

Published: Aug. 16, 2022

Language: Английский

Citations

73

Study of Urban Heat Island Effect in Hangzhou Metropolitan Area Based on SW-TES Algorithm and Image Dichotomous Model DOI Creative Commons

Kailin Shang,

Linfeng Xu, Xuan Liu

et al.

SAGE Open, Journal Year: 2023, Volume and Issue: 13(4)

Published: Oct. 1, 2023

In recent years, with economic development, urbanization has been accelerating. the past 100 global average temperature increased by 0.5°C, and according to predictions of most climate models, will continue increase 1.5°C 3.0°C in next years. Under influence warming, urban heat island effect problem is becoming more serious, bringing much harm. Studying thermal its influencing factors great significance for sustainable development. this study, seasonal interannual surface changes study area are inverted based on SW-TES algorithm, LST inversion algorithm simply verified. At same time, a cell dichotomous model was established explore different land use types normalized vegetation indices Hangzhou metropolitan analyzed. The results showed that overall heating trend trend, expansion rate regional construction relatively fast, scale increasing. Based areas types, we obtained trends each type [from 2005 2018] found there negative correlation between index. This provides theoretical basis evaluate analyze impact it would promote

Language: Английский

Citations

71

Simulating the impact of land use change on ecosystem services in agricultural production areas with multiple scenarios considering ecosystem service richness DOI
Long Jiang, Zongzhi Wang, Qiting Zuo

et al.

Journal of Cleaner Production, Journal Year: 2023, Volume and Issue: 397, P. 136485 - 136485

Published: Feb. 22, 2023

Language: Английский

Citations

53

Analysis on absolute conflict and relative conflict of land use in Xining metropolitan area under different scenarios in 2030 by PLUS and PFCI DOI
Meimei Wang,

Jiang Zizhen,

Tengbiao Li

et al.

Cities, Journal Year: 2023, Volume and Issue: 137, P. 104314 - 104314

Published: March 30, 2023

Language: Английский

Citations

52

Urban ecosystem services supply-demand assessment from the perspective of the water-energy-food nexus DOI
Tonghui Ding, Junfei Chen, Liping Fang

et al.

Sustainable Cities and Society, Journal Year: 2023, Volume and Issue: 90, P. 104401 - 104401

Published: Jan. 11, 2023

Language: Английский

Citations

49

Projecting the response of ecological risk to land use/land cover change in ecologically fragile regions DOI
Guangyi Deng, Haibo Jiang,

Shiying Zhu

et al.

The Science of The Total Environment, Journal Year: 2024, Volume and Issue: 914, P. 169908 - 169908

Published: Jan. 6, 2024

Language: Английский

Citations

43

Multi-Scenario Simulation of Land Use Change and Ecosystem Service Value Based on the Markov–FLUS Model in Ezhou City, China DOI Open Access
Maomao Zhang, Enqing Chen, Cheng Zhang

et al.

Sustainability, Journal Year: 2024, Volume and Issue: 16(14), P. 6237 - 6237

Published: July 22, 2024

Changes in land use patterns, types, and intensities significantly impact ecosystem services. This study follows the time series logic from history to expected future investigate spatial temporal characteristics of changes Ezhou their potential impacts on services value (ESV). The results show that Markov–FLUS model has strong applicability predicting pattern use, with a Kappa coefficient 0.9433 FoM 0.1080. Between 2000 2020, construction expanded continuously, while water area remained relatively stable, other types experienced varying degrees contraction. Notably, compared 2000, it by 70.99% 2020. Moreover, watershed 9.30% 2010, but there was very little change following 10 years. Under three scenarios, significant differences were observed City, driven human activities, particularly expansion land. In inertial development scenario, 313.39 km2 2030, representing 38.30% increase Conversely, under farmland protection increased 237.66 km2, 4.89% rise However, ecological priority 253.59 10.13% Compared ESV losses inertia scenarios USD 4497.71 1072.23, respectively, 2030. scenario 2749.09, emphasizing importance prioritizing City’s development. may provide new clues for formulation regional strategies sustainable restoration.

Language: Английский

Citations

29

Achieving the supply-demand balance of ecosystem services through zoning regulation based on land use thresholds DOI
Xiaoqing Zhao, Yifei Xu, Junwei Pu

et al.

Land Use Policy, Journal Year: 2024, Volume and Issue: 139, P. 107056 - 107056

Published: Feb. 2, 2024

Language: Английский

Citations

25