Ecological Indicators, Journal Year: 2024, Volume and Issue: 169, P. 112856 - 112856
Published: Nov. 25, 2024
Language: Английский
Ecological Indicators, Journal Year: 2024, Volume and Issue: 159, P. 111657 - 111657
Published: Feb. 1, 2024
Global warming is a significant challenge, and carbon stocks in terrestrial ecosystems are crucial for reducing the greenhouse effect increasing sinks. A study was conducted Zhengzhou City from 2000 to 2020 using Landsat image spectral reflectance analyze changes stock. Environmental variables such as surface moisture, salinity, vegetation index, brightness, soil texture were constructed. Multiple linear regression (MLR), support vector machine (SVR), random forest (RFR), long short-term memory (LSTM) models used invert The results showed that NDCS constructed Landsat's blue band NIR band, best inversion variable stock, with clay index (CI) playing primary role. LSTM algorithm had fitting on an R2 of 0.84 RMSE 3.56. stock decreased by 13.93% between 2020, possibly due large-scale reduction arable land. Future land-use planning should focus protecting land, optimizing patterns, enhancing ecosystem's sequestration capacity.
Language: Английский
Citations
9
The Science of The Total Environment, Journal Year: 2024, Volume and Issue: 945, P. 174005 - 174005
Published: June 16, 2024
Predicting future land use changes and assessing carbon storage remain challenging. Nowadays, how nature socioeconomics drive in is a hot topic research. In this study, through the projection of type integration PLUS, Integrated Valuation Ecosystem Services Trade-offs (InVEST), Geodetector models, we constructed framework for different scenarios. Utilizing framework, it possible to project change estimate based on development We applied Yili Tianshan region identified main driving forces change. Further, estimated 2035 under four scenarios (RE, NE, EP, CLP). The results showed following: 1) Between 1990 2020, there was an increase forest area water bodies Yili-Tianshan region, mainly from bare land. 2) As shown time scale, increases with W-shaped fluctuation by converting grasslands into forests. On spatial lower center higher both sides region. 3) 2035- RE, 2035-ND, 2035-EP scenarios, increased 4.30 Tg, 6.67 12.08 Tg; 2035-CLP scenario, decreased 14.63 Tg. experienced notable rise scenario compared other three 4) Soil played significant role differentiation (q value 0.5958), followed population density (0.5394). are result synergistic effects multiple factors, which soil type∩soil erosion intensity most important. This research could provide reference method improving regional storage.
Language: Английский
Citations
7
Ecological Indicators, Journal Year: 2024, Volume and Issue: 169, P. 112844 - 112844
Published: Nov. 16, 2024
Language: Английский
Citations
7
Sustainability, Journal Year: 2024, Volume and Issue: 16(11), P. 4461 - 4461
Published: May 24, 2024
Resource exploitation markedly alters land use and ecological carbon storage, posing risks to sinks food security. This study analyzes land-use change from 1990 2020 in the resource-based province of Shanxi, China. By introducing a mineral resource driver, PLUS model was used predict four scenarios: natural development (ND), cropland protection (CP), (EP), dual ecology (DP). The spatial temporal evolutions storage were then analyzed using InVEST model. Forests predominantly distributed mountainous areas, with croplands southerly central flat construction lands around cities, mining sporadically across Shanxi. From 2020, grasslands decreased, while forest, construction, increased. Carbon decreased continuously, total loss 15.1 × 106 t. High-value areas Lüliang, Taihang, Taiyue Mountains, low-value more populous southern regions. predicted decline by 2035 under ND CP scenarios exceed that EP DP scenarios. scenario projected an increase 4.93 t 2035. realizes maintains security, providing theoretical reference for achieving neutrality high-quality sustainable Shanxi Province.
Language: Английский
Citations
5
Ecology and Evolution, Journal Year: 2025, Volume and Issue: 15(1)
Published: Jan. 1, 2025
ABSTRACT Changes in terrestrial ecosystem carbon storage (CS) affect the global cycle, thereby influencing climate change. Land use/land cover (LULC) shifts are key drivers of CS changes, making it crucial to predict their impact on for low‐carbon development. Most studies model future LULC by adjusting change proportions, leading overly subjective simulations. We integrated Integrated Valuation Ecosystem Services and Trade‐offs (InVEST) model, Patch‐generating Use Simulation (PLUS) Harmonization 2 (LUH2) dataset simulate Yunnan under different SSP‐RCP scenarios economic Within new PLUS‐InVEST‐LUH2 framework, we systematically analyzed alterations effects from 1980 2040. Results demonstrated that: (1) Forestland had highest CS, whereas built‐up land water showed minimal levels. Western areas boast higher while east has lower. From 2020, continuously decreased 29.55 Tg. In wake population increase advancement, area expanded 2.75 times. Built‐up encroaches other categories is a cause reduction CS. (2) 2020 2040, mainly due an forestland, rose 3934.65 Tg SSP1‐2.6 scenario, SSP2‐4.5 primarily forestland grassland areas, declined 3800.86 (3) primary contributor ongoing enlargement causing sustained decline Scenario simulations indicate that changes will have significant Yunnan. Under green sustainable development pathway, can exhibit sink potential. Overall, this research offers scientific reference optimizing management Yunnan, aiding China's “double carbon” goals.
Language: Английский
Citations
0
Frontiers in Environmental Science, Journal Year: 2025, Volume and Issue: 13
Published: April 1, 2025
As the typical megacity in Central Plains, simulation and prediction of Zhengzhou’s future land use ecosystem carbon storage are great significance for regional green coordinated development. Based on data CMIP6 data, study simulated types from 2030 to 2050 through plus model. Then InVEST model is used estimate its storage. The results show that: (1) Arable main type Zhengzhou 2000 2020. During period, conversion between mainly manifested as arable into construction land. distribution built-up area has changed one center with multiple scattered dots a radial spider-web-like pattern. (2) In 2050, SSP126 scenario only three scenarios decline, but forest so this largest three. changes trend each two SSP245 SSP585 relatively consistent. (3) areas high value distributed west area. highest, which 5.7762 × 10 7 t. decreased most, total reduction 0.6667 (4) spatiotemporal variation result natural social factors, among average annual temperature strongest explanation. This provides theoretical basis scientific formulation planning Zhengzhou, well development man nature.
Language: Английский
Citations
0
Earth Science Informatics, Journal Year: 2025, Volume and Issue: 18(2)
Published: April 10, 2025
Language: Английский
Citations
0
Remote Sensing, Journal Year: 2025, Volume and Issue: 17(9), P. 1619 - 1619
Published: May 2, 2025
The scientific development and utilization of cultivated land reserve resource areas is an important basis for realizing national food security regional ecological protection. This paper focuses on use optimization simulations to explore the paths sustainable in resources areas. Deep learning technology was introduced calculate growth probability each type. A change simulation method coupling CNN-LSTM PLUS constructed dynamically simulate pattern, spatial accuracy improved. Markov chains multi-objective planning (MOP) model were used set historical (HD) scenarios, conservation (EP) consolidation (LC) (SD) scenarios. comprehensive impact ecosystem service value (ESV), agricultural production benefits (APBs), carbon balance (CB) evaluated by systematically analyzing quantitative distribution characteristics different scenarios from 2020 2030. Da’an City, Jilin province, China selected as study area. results this show following: (1) coupled with designed capture dynamic use, which achieves high (Kappa 0.8119). (2) In EP scenario, increase ESV 4.36%, but APB only 7.33%. LC increased 22.11%, while decreased 3.44%. SD a achieved between APB, it optimal path development. (3) scenario performed best, CB 5,532,100 tons, lowest, at 1,493,500 tons. shows potential combining reduction paper, deep modeling multi-scenario integrated, management provided.
Language: Английский
Citations
0
Sustainability, Journal Year: 2024, Volume and Issue: 16(12), P. 5180 - 5180
Published: June 18, 2024
Land use profoundly impacts the sustainable development of ecological environment. Optimizing land patterns is a vital approach to mitigate climate change and achieve carbon neutrality. Using Shandong Province as case study, this research evaluates cover (LUCC) on regional storage emissions. Employing coupled PLUS–InVEST–GM(1,1) model, simulations were conducted for scenarios including natural scenario (NS), cropland protection (CPS), high-speed (HDS), low-carbon (LCS), assess LUCC changes in emissions from 2030 2060 under these scenarios. The findings indicate that due expansion construction significant declines arable grassland areas, increased by 40,436.44 × 104 t over 20-year period, while decreased 4881.13 t. Notably, forests contributed most sequestration, emerged primary source Simulating four demonstrates measures such protecting cropland, expanding forest, grassland, aquatic controlling expansion, promoting intensive positively affect emission reductions sequestration Shandong. These underscore importance rational planning patterns, which can enhance contributions neutrality harmonizing relationships among protection, conservation, economic development.
Language: Английский
Citations
2
Environmental Science and Pollution Research, Journal Year: 2024, Volume and Issue: 31(22), P. 32725 - 32745
Published: April 25, 2024
Language: Английский
Citations
1