Spatially Explicit Model for Assessing the Impacts of Groundwater Protection Measures in the Vicinity of the Hranice Abyss DOI Creative Commons
Jozef Sedláček, Hana Vavrouchová,

Kryštof Chytrý

и другие.

Land, Год журнала: 2024, Номер 13(11), С. 1747 - 1747

Опубликована: Окт. 24, 2024

This study introduces a novel spatially explicit modeling framework developed to quantify the secondary environmental benefits of groundwater protection strategies in karst landscapes, with specific application Hranice Abyss region. The model employs multi-criteria decision analysis, integrated hydrological and high-resolution random forest-based prediction algorithm, downscale land surface temperature (LST) order obtain 1 × m spatial results. primary contribution this research lies its capacity assess not only core objectives but also wider impacts, including enhanced stormwater retention mitigation increases. Key predictors include use cover data, is adaptable across diverse landscape types. In case area, water demonstrated an increase up 30%, average rise precipitation 18.2 mm per microbasin. However, reductions were more modest, maximum decrease 7.3%, corresponding drop 1.5 °C. further identified pronounced seasonal land-use-specific variations temperature, particularly on agricultural land, where fluctuations reached 2.6 °C between pre- post-harvest periods. findings offer critical insights into how targeted land-use interventions can safeguard resources enhance resilience climate change. As such, approach provides essential tool for advancement sustainable resource management climate-adaptive planning.

Язык: Английский

Temporal and Spatial Carbon Stock Changes and Driving Mechanisms Based on Land Use Multi‐Scenario Modeling: An Assessment of SDGs15.3—A Case Study of the Central Yunnan Urban Agglomeration, China DOI Open Access
G. Chen, Longjiang Zhang, Dandan Zhang

и другие.

Land Degradation and Development, Год журнала: 2025, Номер unknown

Опубликована: Март 4, 2025

ABSTRACT Carbon stock is a key element of land‐based ecosystems and serves as one the indicators for assessing SDG 15.3, which undergoes direct or indirect effects due to changes in land use. Utilizing central Yunnan urban agglomeration (CYUA) study region, we constructed Markov‐Multi‐Objective‐patch‐generating use simulation (Markov‐MOP‐PLUS) coupled model across four distinct scenarios: sustainable development scenario (SDS), economic (EDS), ecological protection (EPS), natural (NDS) year 2030. The Integrated Valuation Ecosystem Services Trade‐offs (InVEST) was employed carbon spatially identifying comparatively analyzing over time different areas reserves region between 2000 We used optimal parameter geographic detector (OPGD) exploring driving factors spatial differentiation stocks quantitatively 15.3. revealed that according scenarios modeled, region's future expected show expanded watershed construction zones. Water most rapidly EPS, with NDS SDS behind; highest growth rate built‐up EDS, followed by NDS. estimated 2030, under scenarios, are ranked follows: EPS (2.581 × 10 9 tons) > (2.571 (2.570 EDS (2.567 tons), suggesting measures can promote recovery regional ecosystems' stocks. spatiotemporal variation influenced multiple factors, slope being dominant factor region. Furthermore, interactions among these not independent their impact on 15.3.1 indices 2030 all decreasing trend, although situation degradation has improved, none have met 15.3 target. This research offers valuable guidance policymakers working targets planning.

Язык: Английский

Процитировано

0

Using Multi-Scenario Analyses to Determine the Driving Factors of Land Use in Inland River Basins in Arid Northwest China DOI Creative Commons

You Yang,

Jiang Ping-an, Yakun Wang

и другие.

Land, Год журнала: 2025, Номер 14(4), С. 787 - 787

Опубликована: Апрель 6, 2025

Global challenges such as climate change, ecological imbalance, and resource scarcity are closely related with land-use change. Arid land, which is 41% of the global land area, has fragile ecology limited water resources. To ensure food security, resilience, sustainable use resources, there a need for multi-scenario analysis change in arid regions. carry this out, multiple spatial techniques indicators were used to analyze typical inland river basin Northwest China—the Tailan River Basin (TRB). Then, PLUS model was analyze, certain time period (1980–2060), same basin. The scenarios included Natural Increase Scenario (NIS), Food Security (FSS), Economic Development (EDS), Water Protection (WPS), Ecological (EPS), Balanced Eco-economy (BES). results show that 1980–2020, TRB mainly driven by changes cultivated grassland, forest built-up land. For period, substantial increase (865.56 km2) significant decrease (197.44 grassland (773.55 study area. There notable shift 1990–2010. overall accuracy (OA) more than 90%, Kappa value 85% Figure Merit (FOM) 0.18. most pronounced expansion area 2020–2060 FSS (661.49 km2). This led an grain production agricultural productivity region. under EDS (61.7 km2), contributing economic development population growth. While conversion into other forms smallest BES (606.08 increased 55.82 km2. presented ideal scenario conservation balance development. management strategy harmonized across humans may provide policymakers realistic option potential offer acceptable policy solution use.

Язык: Английский

Процитировано

0

Breaking the poverty trap in an ecologically fragile region through ecological engineering: A close-up look at long-term changes in ecosystem services DOI
Baojing Wei, Mao Xue, Shuguang Liu

и другие.

Journal of Environmental Management, Год журнала: 2024, Номер 358, С. 120921 - 120921

Опубликована: Апрель 22, 2024

Язык: Английский

Процитировано

3

The role of sustainable land management practices in alleviating household food insecurity in Nigeria DOI Creative Commons
Temitope O. Ojo,

Olufunmilola F. Adesiyan,

A. O. Ige

и другие.

Frontiers in Sustainable Food Systems, Год журнала: 2024, Номер 8

Опубликована: Ноя. 19, 2024

Climate change is a major challenge impacting food security globally. Sub-Saharan African (SSA) countries including Nigeria has experienced the negative effect of climate vagaries most especially on agricultural production, thus, leading to insecurity. However, sustainable land management (SLM) practices have huge potential minimize impacts in rapidly changing climate. This study estimates determinants adoption SLM and impact household among smallholder rice farmers Ogun State, Nigeria. A multistage sampling procedure was used select 120 respondents. Poisson endogenous treatment (PET) model employed analyse level area. To account for counterfactuals, doubly-robust augmented-probability-weighted regression adjustment (APWRA) also used. In same vein, marginal effects (MTE) approach estimate heterogeneity. The results showed that socio-economic factors greatly influenced practices, such as age educational farmers. found be improved when they package consisting variety hence, alleviate insecurity if well combined large extent. concluded knowledge form formal education, some vocational training, trainings access weather information were key influencing untreated (ATU) are lower than ATE ATT, confirming positive selection unobserved gains. particular, ATU show an average non-adopting household, would significantly improve dietary diversity by about 27%. Farm-level policy efforts aims equip through disseminating step towards promotion practice which eventually leads increased security. recommended continuous extensive use can fostered encouraging join social organisation where related relevant shared trained extension officers.

Язык: Английский

Процитировано

3

Assessing carbon storage dynamics in an ecological civilization demonstration zone amid rapid urbanization: A multi-scenario study of Guizhou Province, China DOI Creative Commons
Rui Chen, Xuehai Fei,

Jingyu Zhu

и другие.

Resources Environment and Sustainability, Год журнала: 2025, Номер unknown, С. 100223 - 100223

Опубликована: Апрель 1, 2025

Язык: Английский

Процитировано

0

Multi-Trophic Species Diversity Contributes to the Restoration of Soil Multifunctionality in Degraded Karst Forests through Cascading Effects DOI Open Access

Fayu Long,

Guanghui Zhou, Lei Zu

и другие.

Forests, Год журнала: 2024, Номер 15(3), С. 559 - 559

Опубликована: Март 19, 2024

The biodiversity–ecosystem function (BEF) relationship is the basis for studying restoration of degraded ecosystems, and simultaneous assessment multi-trophic-level biodiversity ecosystem multifunctionality more conducive to unravelling mechanism especially forest ecosystems with harsh habitats infertile soils such as karst. In this study, we evaluated soil (SMF) karst forests (scrub, SB; secondary growth forests, SG; old-growth OG) in Maolan National Nature Reserve, China, using 30 sample plots. Biodiversity at three trophic levels (plant–soil fauna–soil microorganisms), were assessed through vegetation surveys sampling. One-way ANOVA showed that SMF increased natural restoration, but multi-trophic level different trends. Pearson’s correlation analysis a positive between plant species diversity (p < 0.001), whereas fauna microorganisms negatively correlated SMF. Structural equation modeling revealed cascading effect on stimulation during restoration. Only exhibited direct driving plants indirectly influenced fauna, which subsequently affected Although observed negative effects microbial terms quantitative relationships, increase evenness still contributed This study promoting emphasized microbes are key unraveling mechanisms processes, an important intermediate link.

Язык: Английский

Процитировано

2

Identifying the Optimal Area Threshold of Mapping Units for Cultural Ecosystem Services in a River Basin DOI Creative Commons
Ye Li, Junda Huang, Yuncai Wang

и другие.

Land, Год журнала: 2024, Номер 13(3), С. 346 - 346

Опубликована: Март 8, 2024

Mapping cultural ecosystem services (CES) in river basins is crucial for spatially identifying areas that merit conservation due to their significant CES contributions. However, precise quantification of the appropriate area mapping units, which basis assessment, rare existing studies. In this study, optimal threshold units (OATMU) identification, consisting a multi-dimensional indicator framework and methodology validation, was established clarify boundary CES. The included geo-hydrological (GI), economic (EI) social management (SMI). OATMU each determined by seeking inflection point second-order derivative power function. minimum value obtained as Finally, validated comparing it with administrative villages basin. results showed 3.60 km2. This study adopted easy access basic data simplified calculation methods, provide clear generic technical support optimizing mapping.

Язык: Английский

Процитировано

0

Spatiotemporal Characteristics and Socio-Ecological Drivers of Ecosystem Service Interactions in the Dongting Lake Ecological Economic Zone DOI

Chuxiong Deng,

Xinlv Shen,

Changchang Liu

и другие.

Опубликована: Янв. 1, 2024

Язык: Английский

Процитировано

0

Coupling relationship among ecosystem services and its driving factors from the perspective of social-ecological networks DOI Creative Commons

乔志宏 QIAO Zhihong,

Ting Li,

Ren Yu

и другие.

资源科学, Год журнала: 2024, Номер 46(5), С. 1002 - 1017

Опубликована: Янв. 1, 2024

【目的】探究生态系统服务权衡与协同耦合关系的驱动因素及其动态变化特征,对于明确生态恢复背景下社会-生态系统的互馈机制至关重要。【方法】本文以典型植被恢复区延安市为研究区,量化了2000—2020年碳固存、产水量、基流调节与土壤保持服务,采用生态系统服务综合指数(ESI)表征4项生态系统服务耦合关系;基于贝叶斯信念网络模型(BBNs)构建社会-生态驱动因素识别框架,并揭示了植被恢复以来研究区生态系统服务耦合关系的驱动因素及其变化特征。【结果】①2000—2020年延安市生态系统服务耦合关系显著改善,ESI高值区由中部向南北扩张,低值区集中在城镇周围以及北部边缘地区;但基流调节高值概率持续降低。②降水、植被覆盖度、实际蒸散发与气温对延安市生态系统服务耦合关系变化的综合贡献率达70%以上,且降水和植被覆盖度是主导驱动因素。③20年间,降水的贡献率波动减少,植被覆盖度的贡献率持续上升;概率推理表明,气候暖湿化将加剧基流调节下降的风险,而持续的植被恢复也将引起生态系统服务耦合关系优化的阈值效应。【结论】对植被恢复区开展长期监测、提高区域基流调节功能是维持植被恢复成效以应对气候变化和人类活动干扰的优先事项。

Процитировано

0

Integrating ecosystem stress into the assessment of ecosystem health in karst areas and exploring its driving factors DOI Creative Commons

Xun Lin,

Zhitai Wang, Yu Bao

и другие.

Ecological Indicators, Год журнала: 2024, Номер 167, С. 112662 - 112662

Опубликована: Сен. 26, 2024

Язык: Английский

Процитировано

0