Ecosystem Services Thresholds and Interconnected Feedback Loops in the Vulnerable Tarim River Basin: Confronting Climate and Vegetation Transformations DOI Creative Commons

Chun Luo,

Xiaofei Ma, Yonghui Wang

и другие.

Global Ecology and Conservation, Год журнала: 2025, Номер unknown, С. e03529 - e03529

Опубликована: Март 1, 2025

Язык: Английский

Identification of Ecological Functional Areas and Scenario Simulation Analysis of the Wanjiang Urban Belt from a Trade-Off/Synergy Perspective DOI Creative Commons
Yuchun Wang,

Yvonne Ang,

Yingying Zhang

и другие.

Land, Год журнала: 2025, Номер 14(3), С. 444 - 444

Опубликована: Фев. 20, 2025

Identifying ecological functional areas by clarifying the trade-off synergies of multiple ecosystem services to meet practical needs coordinating different in a specific region is highly important. Based on InVEST, RUSLE and other models, this study analyzed tradeoff five typical Wanjiang Urban Belt from 1990 2020 using Pearson correlation analysis, self-organizing map (SOM) carried out zoning. The PLUS model was used simulate evolution zones 2030. results revealed that (1) 2020, water yield (WY), soil reservation (SR), food production (FP) increased, whereas carbon storage (CS) habitat quality (HQ) decreased. value showed pattern “high south low north”. (2) WY–SR, WY–HQ, HQ–CS, HQ–SR were synergistic, synergistic relationship weakening trend. There trade-offs WY–CS, WY–FP, SR–FP, effects increased with time. (3) area divided into an transition area, conservation urban development restoration agroecological functions structures each cluster significantly differed. (4) Under natural scenario, scales transition, conservation, increased. cropland protection began transform areas. transfer restoration, In conclusion, are dominated effects, but there potential risk shifting relationships. future, targeted regional optimization measures according status zone urgently needed provide references for territorial space management control region.

Язык: Английский

Процитировано

2

What dominates the variation of ecosystem services across different urban expansion patterns?—Evidence from the Yangtze River Delta region, China DOI
Dan Yi, Jie Guo, Steven G. Pueppke

и другие.

Environmental Impact Assessment Review, Год журнала: 2024, Номер 110, С. 107674 - 107674

Опубликована: Сен. 19, 2024

Язык: Английский

Процитировано

9

Ecosystem service supply and demand relationship and spatial identification of driving threshold in Loess Plateau of China DOI

Haihong Qiu,

Yingchen Bai,

Hairong Han

и другие.

Ecological Engineering, Год журнала: 2025, Номер 212, С. 107534 - 107534

Опубликована: Янв. 31, 2025

Язык: Английский

Процитировано

1

Identification of degradation risk areas and delineation of key ecological function areas in Qinling region DOI Creative Commons
XU Xiao-juan,

Dayi Lin,

Yue Yang

и другие.

Scientific Reports, Год журнала: 2025, Номер 15(1)

Опубликована: Фев. 5, 2025

As a critical component of the geographical divide between northern and southern regions China, ecological stability Qinling region has profound implications for balance within China across East Asia. However, degradation risk areas remain unclear, there are gaps in delineation key protection areas. This study examines improvement decline from 2000 to 2023 terms ecosystem patterns, quality, functions. Moreover, function zones were identified, future development paths proposed region. The findings indicate that: (1) Urban area expansion was most rapid, increasing by about 1800 km², with an average yearly growth rate 2.43%. Ecosystem quality increased 48.07% primarily located Sanjiangyuan, Minshan-Qinghai-Tibet Plateau, Loess Plateau Shaanxi, Henan, Gansu. core water soil conservation only accounted 17.92% 10.47%, respectively, mainly distributed Qinling-Daba Mountains. Based on functions, restoration projects, been divided into two majority categories 16 subcategories: 7 ecologically functional 9 offers recommendations formulating policies, thereby promoting sustainable region's ecology economy.

Язык: Английский

Процитировано

1

Exploring Trade-Offs/Synergies and Drivers of Ecosystem Services in the Dongting Lake Area, China DOI Open Access
Ying Huang, Xinsheng Chen, Lianlian Zhu

и другие.

Sustainability, Год журнала: 2025, Номер 17(4), С. 1650 - 1650

Опубликована: Фев. 17, 2025

Identifying ecosystem service trade-offs/synergies and their influencing factors are prerequisites for formulating scientific management strategies. We selected Dongting Lake Area as the study area, quantified four key ESs dynamics, including food production (FP), soil conservation (SC), habitat quality (HQ) ecological leisure (EL), identified relationships between paired services using Spearman correlation coefficients, analyzed how various drivers impact trade-offs synergies by leveraging spatial panel data models; we also implemented zoning superposition analysis on services, these drivers. The results showed that FC SC displayed synergy before a trade-off over period 2000–2022. FP–HQ HQ–EL initially synergy, then trade-off, again. Spatially, ratios of FP–HQ, SC–HQ, exceeded ratios, areas existed around Lake. direct or indirect effects DEM, slope, precipitation, population density have greatest effect pairs. Furthermore, DTLA was divided into unbalance, conservation, areas. These finding may provide critical insights to balance socio-economic progress in Area.

Язык: Английский

Процитировано

1

Assessment and multi-scenario prediction of ecosystem services in the Yunnan-Guizhou Plateau based on machine learning and the PLUS model DOI Creative Commons
Yuan Li, Yuling Peng,

H. P. Peng

и другие.

Frontiers in Ecology and Evolution, Год журнала: 2025, Номер 13

Опубликована: Фев. 18, 2025

Introduction Machine learning techniques, renowned for their ability to process complex datasets and uncover key ecological patterns, have become increasingly instrumental in assessing ecosystem services. Methods This study quantitatively evaluates individual services—such as water yield, carbon storage, habitat quality, soil conservation—on the Yunnan-Guizhou Plateau years 2000, 2010, 2020. A comprehensive service index is employed assess overall capacity, revealing spatiotemporal variations services exploring trade-offs synergies among them. Additionally, machine models identify drivers influencing services, informing design of future scenarios. The PLUS model used project land use changes by 2035 under three scenarios—natural development, planning-oriented, priority. Based on simulation results these scenarios, InVEST applied evaluate various Results During 2000-2020, exhibited significant fluctuations, driven synergies. Land vegetation cover were primary factors affecting with priority scenario demonstrating best performance across all Discussion research integrates model, providing more efficient data interpretation precise design, offering new insights methodologies managing optimizing Plateau. These findings contribute development effective protection sustainable strategies, applicable both plateau similar regions.

Язык: Английский

Процитировано

1

Multiscale analysis of ecosystem service interactions and driving factors in the Loess Plateau: Implications for ecological management DOI

Tao Xu,

Guangjin Tian, Tong Lin

и другие.

Journal of Cleaner Production, Год журнала: 2025, Номер unknown, С. 145074 - 145074

Опубликована: Фев. 1, 2025

Язык: Английский

Процитировано

1

The Use of an Optimized Grey Multi-Objective Programming-PLUS Model for Multi-Scenario Simulation of Land Use in the Weigan–Kuche River Oasis, China DOI Creative Commons

Kangning Dong,

Hongwei Wang, Kui Luo

и другие.

Land, Год журнала: 2024, Номер 13(6), С. 802 - 802

Опубликована: Июнь 5, 2024

The oasis serves as the primary supply of cultivable land, along with hub for human production and habitation in Xinjiang. Accordingly, predicting land use these areas based on various goals is an effective instrument encouraging sensible distribution resource space. study investigated creation a use-allocation optimization model objectives ecological protection, food security, urban growth using Weigan–Kuche River example. GMOP-PLUS model’s restriction conversion area was adjusted to include findings suitability evaluation. Additionally, it optimized simulated spatial arrangement quantitative structure usage 2035. results indicate following: (1) overall accuracy 89.36%, its Kappa coefficient 0.872, more than 0.8. Thus, can be considered adoption future when changes districts counties oasis; (2) evaluation, percentage that are most suited agricultural development, protection 39.32%, 24.21%, 14.06%, respectively; (3) three scenarios satisfy demands within oasis, varies considerably response development objectives, construction cultivated undergoing substantial modifications. multi-scenario simulation provide essential support range perspectives planning socioeconomic decision-making oasis. This both efficient resources sustainable development.

Язык: Английский

Процитировано

4

Integrated assessment of land-use management effects on ecosystem services under climate-adaptive scenarios in the Loess Plateau region of China DOI
Youjia Liang,

Yating He,

Lijun Liu

и другие.

GeoJournal, Год журнала: 2024, Номер 89(5)

Опубликована: Авг. 26, 2024

Язык: Английский

Процитировано

4

Effects on Carbon Sequestration of Biomass and Investment in State-Owned Forest Farms: A Case Study of Shaanxi Province, China DOI Open Access
Li Gao, Hua Li, Shuqiang Li

и другие.

Forests, Год журнала: 2025, Номер 16(1), С. 60 - 60

Опубликована: Янв. 1, 2025

Enhancing carbon sequestration capacity through effective forest management is a critical strategy for mitigating climate change. China has established public administrations, known as state-owned farms (SFFs), primarily to manage forests. This study examines the effects of forestry investment made by 211 SFFs in Shaanxi Province from 2000 2018, using panel fixed model and threshold model. The findings reveal that SFF significant time-lag effect on sequestration, with marginal contribution peaking three years after initial investment. Additionally, impact exhibits spatial heterogeneity, varying across regions due differences environmental ecological conditions. Threshold are also identified, indicating effectiveness constrained scale structure investment, diminishing returns observed beyond optimal levels. Furthermore, we found increases mainly expanding area improving quality. These underscore importance cost-effectiveness analyses optimize decisions. advised prioritize appropriate timing, regions, scales, structures achieve benefits maximize resource utilization, supporting sustainable change mitigation efforts.

Язык: Английский

Процитировано

0