Spatiotemporal Pattern and Driving Mechanism of Cultivated Land Use Transition in China DOI Creative Commons
Feifei Jiang, Fu Chen, Yan Sun

et al.

Land, Journal Year: 2023, Volume and Issue: 12(10), P. 1839 - 1839

Published: Sept. 26, 2023

In the past 20 years, global economy has undergone tremendous changes with rapid industrialization and urbanization. Cultivated land is an important spatial carrier for human production life, its use pattern also socioeconomic development. Natural, economic, social, policy factors jointly drive cultivated transition (CLUT). However, spatiotemporal evolution characteristics of CLUT at national scale have not yet been clarified in China. Factors that play a leading role are unclear. To this end, paper explores analyzes main drivers differentiation rules based on relevant data from 31 provincial units Chinese mainland 2000 to 2019. The results show that: (1) China 2019 had obvious stage characteristics. (2) coordination degree was enhanced overall. Areas higher presented distribution small agglomeration large dispersion, while low-level areas were distributed spots. (3) Different various effects CLUT. topography played inhibitory transition, influence showed differences between east west regions. effect construction demand index shifted inhibition promotion, gross agricultural economic output total power machinery insignificant.

Language: Английский

Assessment of water-related ecosystem services based on multi-scenario land use changes: focusing on the Poyang Lake Basin of southern China DOI Creative Commons

Jinbo Qin,

Hui Ye,

Kai Yan Lin

et al.

Ecological Indicators, Journal Year: 2024, Volume and Issue: 158, P. 111549 - 111549

Published: Jan. 1, 2024

A scientific understanding of the trends water-related ecosystem services (WESs) under different scenarios is crucial to improving WESs and maintaining ecological security. However, there a lack high-resolution land use simulation assessment SSP-RCP scenarios, impacts land-use change (LUC) on are not clear. This study focused Poyang Lake Basin (PYLB), utilizing PLUS model InVEST explore dynamic changes historically in future, reveal specific LUC from 2000 2020. The results demonstrated that: (1) forest increased both SSP1-2.6 SSP2-4.5 but first then decreased SSP5-8.5 scenarios; Cropland significantly construction showed an expansion trend three scenarios. (2) From 2020, only water purification capacity decreased, while rest increased. Under scenario, overall benefits PYLB were highest. (3) Between deforestation brought about greatest increase yield (+9.06 × 108 m3). most conservation loss (−18.19 Additionally, cropland reduction largest soil retention (+3.94 105 t +4.79 t) enhanced purification, opposite was true for deforestation. conclusions can provide important basis protection high-quality development PYLB.

Language: Английский

Citations

11
How has carbon storage changed in the Yili-Tianshan region over the past three decades and into the future? What has driven it to change? DOI Creative Commons

Kaixiang Fu,

Lixin Chen,

Xinxiao Yu

et al.

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
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
Biomass and Carbon Stock Capacity of Robinia pseudoacacia Plantations at Different Densities on the Loess Plateau DOI Open Access

Yawei Hu,

Jiongchang Zhao, Yang Li

et al.

Forests, Journal Year: 2024, Volume and Issue: 15(7), P. 1242 - 1242

Published: July 17, 2024

Forests make an important contribution to the global carbon cycle and climate regulation. Caijiachuan watershed false acacia (Robinia pseudoacacia Linn.) plantation forests have been created for 30 years, but a series of problems arisen due irrationality density involved at that time. To precisely assess R. plantations with different densities this cycle, we measured diameter breast height (DBH), tree (H), biomass, stocks in trees, shrubs, herbs, litter, soil across ranges, denoted as D1 = 900–1400, D2 1401–1900, D3 1901–2400, D4 2401–2900, D5 2901–3400 trees ha−1. In order achieve purpose accurately estimating rate each part were measured. The results are follows: (1) Both DBH H decreased increasing density, field surveys much more difficult less accurate than DBH. Based on two allometric growth models, it was found determination coefficient biomass model incorporated both (0.90) closely resembled using only (0.89), error margin 0.04%. (2) At sample scale, stand significantly affected stem total biomass. individual plant organ Increasing promoted accumulation vegetation within plot did not improve trees. constituted majority (58.25%–60.62%); represented significant portion (93.02%–97.37%). (3) stock plots tended increase indicating positive correlation between whole forest ecosystem. Hence, future plantations, appropriate should be selected based specific objectives. For wood utilization, planting 900–1400 ha−1 controlled. fixation, initial 2900–3400 pseudoacacia. This study provides theoretical support local management how better sequester carbon.

Language: Английский

Citations

5
How is carbon storage in plateau–plain transition zone influenced? Evidence from Minjiang River Basin, China DOI
Menglin Qin,

Xinyu Wu,

Yijia Zhou

et al.

Journal of Cleaner Production, Journal Year: 2025, Volume and Issue: unknown, P. 144766 - 144766

Published: Jan. 1, 2025

Language: Английский

Citations

0
Assessing ecosystem service losses—A review of progress and problems DOI Creative Commons
Hanjie Wang, Xiulong Zhang,

Jianhua Zhang

et al.

Resources Environment and Sustainability, Journal Year: 2025, Volume and Issue: 19, P. 100194 - 100194

Published: Feb. 17, 2025

Language: Английский

Citations

0
Linking landscape patterns to rainfall-runoff-sediment relationships: A case study in an agriculture, forest, and urbanization-dominated mountain watershed DOI Creative Commons
Chong Wei, Xiaohua Dong, Yaoming Ma

et al.

Ecological Indicators, Journal Year: 2025, Volume and Issue: 172, P. 113279 - 113279

Published: Feb. 25, 2025

Language: Английский

Citations

0
Land-Use Transitions and Its Driving Mechanism Analysis in Putian City, China, during 2000–2020 DOI Open Access

Qingxia Peng,

Dongqing Wu,

Wenxiong Lin

et al.

Sustainability, Journal Year: 2024, Volume and Issue: 16(9), P. 3549 - 3549

Published: April 24, 2024

Investigating the spatial-temporal evolution of land use and its driving forces provides a scientific basis for policy formulation, land-use structure adjustment, ecological civilization development. Using Google Earth Engine (GEE) platform, this study analyzed remote sensing images from 2000, 2010, 2020 to derive basic data Putian City five districts counties. These were then systematically using methodologies such as Single Land-use Dynamics Geo-informatic Tupu reveal characteristics transitions (LUTs), pattern over past two decades in City, China. Subsequently, socioeconomic conditions macro policies identified factors further explore mechanisms behind area through canonical correspondence analysis (CCA). The findings revealed that: (1) predominant consisted mainly cultivated forest land, with other types interspersed within them, while built-up exhibited continual outward expansion. (2) Various regions varying degrees abandoned farmland, ultimately transforming into wasteland (grassland) weed growth, presenting significant challenges ensuring food security mitigating conversion non-agricultural non-grain uses. (3) Specific macro-economic development objectives during distinct periods, particularly urban expansion growth secondary industry resulting municipal county mergers, emerged pivotal spatial temporal influenced differential distribution across City. Consequently, suggests bolstering planning implementing effective regulations concerning use, it advocates efficient utilization space-time resources pertaining integrating them agriculture, culture, tourism endeavors. Such measures are proposed ensure harmonized sustainable regional economy.

Language: Английский

Citations

3
Dynamic Land-Use Patterns and the Associated Impacts on Ecosystem Services Value in Putian City, China DOI Creative Commons

Qingxia Peng,

Dongqing Wu,

Wenxiong Lin

et al.

Applied Sciences, Journal Year: 2024, Volume and Issue: 14(11), P. 4554 - 4554

Published: May 25, 2024

Human actions have led to consistent and profound alterations in land use, which turn had a notable effect on the services provided by ecosystems. In this research, Google Earth Engine (GEE) was initially employed perform supervised classification of Landsat satellite images from 2000 2020, allowed us obtain land-use data for Putian City, China. Next, geo-informatic Tupu model revised valuation were used explore spatial attributes ecological effects changes (LUCs). Subsequently, EEH (eco-economic harmony), ESTD (ecosystem tradeoffs synergies degree index), ESDA (exploratory analysis) methods further analyze coordination level, trade-offs, synergies, patterns ecological-economic system development. The findings revealed that: (1) composition City predominantly cultivated forest land, with other types intermixed. Concurrently, there an ongoing trend expansion urban areas. (2) ESV exhibited upward trend, increasing 15.4 billion CNY 23.1 2020. (3) imbalance distribution, high-high agglomeration areas concentrated central part coastal region Hanjiang District, while low-low prevalent Xianyou County southwest, Xiuyu District along coast, Licheng center. (4) Synergistic relationships among ESs predominated, though trade-off relationship showed tendency expand. (5) environment economic progress collectively faced potential risk. study are intended serve as guide improving distribution resources developing strategies that ensure sustainable development region’s socio-economic framework.

Language: Английский

Citations

3
The impact of policies on land cover and ecosystem services dynamics in the Poyang Lake Ecological Economic Zone, China DOI Creative Commons
Ying Deng, Zhenfeng Shao, Chaoya Dang

et al.

Ecological Indicators, Journal Year: 2023, Volume and Issue: 156, P. 111169 - 111169

Published: Oct. 31, 2023

Understanding how land cover and ecosystem services respond to diverse policies is essential for economic development ecological conservation. However, few efforts have been made analyze the in conjunction with Poyang Lake Ecological Economic Zone (PYLEEZ), limiting sustainable improvement of region. Therefore, this study quantified changes four services, evaluated relationships between them, analyzed various affected PYLEEZ from 2000 2020. The results showed that artificial surfaces expanded at expense cultivated land. Agricultural encroachment resulted loss most woodland wetland. Under policies, 2062.19 km2 returned natural land, leading a net wetland area increase 760.8 km2. In terms crop production increased significantly (+151 %) carbon storage reduced slightly (-2.7 under influence agricultural rapid urbanization. Furthermore, habitat quality water yield by 252.75 61.3 × 108 m3, respectively. Carbon presented clear trade-off relationship production, while was synergistic production. Given current PYLEEZ, it worthwhile focus on safety minimize driven policies. This expected help achieve balanced social economy conservation PYLEEZ.

Language: Английский

Citations

9