
Global Ecology and Conservation, Год журнала: 2025, Номер unknown, С. e03529 - e03529
Опубликована: Март 1, 2025
Язык: Английский
Global Ecology and Conservation, Год журнала: 2025, Номер unknown, С. e03529 - e03529
Опубликована: Март 1, 2025
Язык: Английский
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
2Environmental Impact Assessment Review, Год журнала: 2024, Номер 110, С. 107674 - 107674
Опубликована: Сен. 19, 2024
Язык: Английский
Процитировано
9Ecological Engineering, Год журнала: 2025, Номер 212, С. 107534 - 107534
Опубликована: Янв. 31, 2025
Язык: Английский
Процитировано
1Scientific 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
1Sustainability, 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
1Frontiers 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
1Journal of Cleaner Production, Год журнала: 2025, Номер unknown, С. 145074 - 145074
Опубликована: Фев. 1, 2025
Язык: Английский
Процитировано
1Land, 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
4GeoJournal, Год журнала: 2024, Номер 89(5)
Опубликована: Авг. 26, 2024
Язык: Английский
Процитировано
4Forests, 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
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