Unveiling the explanatory power of environmental variables in soil organic carbon mapping: A global–local analysis framework

Geoderma, Год журнала: 2024, Номер 449, С. 117011 - 117011

Опубликована: Авг. 26, 2024

Soil organic carbon (SOC) is a critical component that affects soil quality and global cycling. Current SOC mapping approaches are based on the spatial stationarity relationship of formation processes. Nevertheless, pattern consequence different soil-forming factors processes operate at scales. In this work, we hypothesized covariation environmental variables might differ spatially, proposed (whole area) local analysis framework aimed to enhance our comprehension explanatory scale variation. This primarily incorporates Geographically Weighted correlation Multi-scale Regression (MGWR) model. With 216 farmland topsoil samples collected from Qilu Lake watershed in Yunnan Province, China (area 354 km2), explored both relationships between verify feasibility framework. Results showed power variation scale-dependent. Our revealed certain variables, which may explain variations SOC, often overlooked due their insignificant with (p > 0.05). For example, case study, porosity two landscape metrics characterize anthropogenic land use patterns can effectively SOC. They improved model performance MGWR, but not significant. The highlights necessity investigating scale.

Язык: Английский

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Unraveling the Differential Impact Pathways of Landscape Structures and Ecosystem Services on “Essential Needs,” “Governance,” and “Objectives” for Sustainable Development Goals (SDGs)

Sustainable Development, Год журнала: 2025, Номер unknown

Опубликована: Фев. 11, 2025

ABSTRACT Central Asian countries ranked low in Sustainable Development Goal (SDG) scores among 166 globally 2024, facing challenges achieving the 2030 Agenda. Landscape structures (LSs) are considered crucial advancing SDGs by supporting provision of ecosystem services (ESs). Although previous studies have primarily first‐level interactions between LSs and ESs, as well ESs SDGs, uncertainty remains regarding hierarchical responses LSs, SDGs. To address this gap, study integrates traditional relationship into latest SDG classification framework (“essential needs,” “governance,” “objectives”), aiming to provide a new theoretical methodology for priority actions Asia. This uses Dangala Bukhara regions Asia case studies. By constructing landscape index tools, ES assessment models, regression analyses, we quantified spatiotemporal distribution changes on basis 6 LS indices, 5 3 categories Using factor analysis structural equation modeling, revealed differential impact pathways Our results indicate that region, which is dominated grasslands, should prioritize 7, SDG14, SDG15, whereas desert areas focus 9, 12, 13. Importantly, highlight potential systematic grassland planning management maximize sustainable economic, social, environmental development arid zones.

Язык: Английский

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Comprehensive Ecological Risk Changes and Their Relationship with Ecosystem Services of Alpine Grassland in Gannan Prefecture from 2000–2020

Remote Sensing, Год журнала: 2024, Номер 16(12), С. 2242 - 2242

Опубликована: Июнь 20, 2024

Alpine grassland is one of the most fragile and sensitive ecosystems, it serves as a crucial ecological security barrier on Tibetan Plateau. Due to combined influence climate change human activities, degradation alpine in Gannan Prefecture has been increasing recent years, causing increases risk (ER) leading ecosystem facing unprecedented challenges. In this context, particularly construct potential damage index (PGDI) assessment framework that can be used effectively characterize ecosystem. This study comprehensively uses multi-source data PGDI based resilience index, landscape ER grass–livestock balance index. Thereafter, we proposed feasible for assessing comprehensive analyzed responsive relationship between services (ESs) grassland. There are four findings. The first from 2000–2020 had low distribution southeast high trend northwest, with medium (29.27%) lower (27.62%) dominating. high-risk area accounted 4.58% was mainly Lintan County, border Diebu Zhuoni Counties, eastern part Xiahe southwest Hezuo. Second, ESs showed pattern northwest southeast. only 9.30% studied were distributed west Maqu County central County. Third, Moran’s values 2000, 2005, 2010, 2015, 2020 −0.246, −0.429, −0.348, −0.320, −0.285, respectively, thereby indicating significant negative spatial autocorrelation all aspects. Fourth, caused by action multiple factors. differences driving factors affect ER. Landscape dominant factor affecting ER, q greater than 0.25, followed DEM NDVI. addition, interaction diversity NDVI greatest impact Overall, offers new methodological quantification grasslands.

Язык: Английский

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Development of a comprehensive framework for wetland ecosystem assessment and management

Geoscience Frontiers, Год журнала: 2025, Номер unknown, С. 102036 - 102036

Опубликована: Март 1, 2025

Язык: Английский

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Spatiotemporal effects of landscape structure on the trade-offs and synergies among ecosystem service functions in Yangtze River Economic Belt, China

Research Square (Research Square), Год журнала: 2025, Номер unknown

Опубликована: Апрель 4, 2025

Effective landscape management is vital for maximizing the availability of ecosystem service functions (ESF). However, how pattern simultaneously affects multiple ESF across time and space, specifically regarding changes in their relationships, has not been comprehensively evaluated. Accordingly, current study examines dynamic impact on interactions among ES trade-offs China's Yangtze River Economic Belt (YREB) from 1990 to 2020. Five key are evaluated: carbon sequestration (CS), food supply (FS), habitat quality (HQ), water retention (WR), soil conservation (SC). The geographical temporal weighted regression model adopted analyze these relationships influenced by over 30 years. Over past three decades, overall amounts FS, WR, SC have increased, with only WR exhibiting a sustained increasing trend, while CS HQ significantly decreased. trade-off coordination effects generally transitioned synergies, CS–FS change more pronounced, shifting weak (− 0.29) synergies (0.20). Significant spatial variations were also observed. Most ESF. Specifically, composition stronger influence ecosystems than configuration; however, diverse often inconsistent, requiring decision-makers continuously balance management. impacts between other (CS–SC, HQ–SC, WR–SC) consistent, most prominent CS–SC. This suggests that exerts comparatively steady CS, benefiting contributions regional land parcels. These results underscore intricate responses inter-ecosystem need Cumulatively, this provides crucial guidance policymakers designing effective policies mitigate ecological degradation.

Язык: Английский

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Temporal–Spatial Evolution and Driving Mechanism for an Ecosystem Health Service Based on the GD-MGWR-XGBOOT-SEM Model: A Case Study in Guangxi Region

Sustainability, Год журнала: 2025, Номер 17(8), С. 3305 - 3305

Опубликована: Апрель 8, 2025

With the expansion of urbanization in China, ecological environments are becoming more and prominent. Uncovering driving factors ways regulating ecosystem health has become a hot topic for regional sustainable development. This paper adopted improved vigor–organization–resilience service (VORS) model to diagnose status Guangxi from 2000 2020 verify main affecting health. Considering influencing (including vegetation, terrain, climate human activities), mechanism associated with was analyzed by using geographic detector (GD), multiscale geographically weighted regression (MGWR), XGBOOTS-SHAP model. The results show that spatial distribution is characterized low values central region high northern eastern regions higher elevations 2020. agglomeration evolution changes dispersion, consistent. interaction vegetation enhanced significantly, while relatively weak. And most impacts activities on environment negative. factor dominant positive effect health, activity elements have weak negative Meanwhile, complex changeable, their leading corresponding other factors. study provides scientific reference harmonious development humans nature southern China.

Язык: Английский

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Spatiotemporal changes of ecosystem health and the impact of its driving factors on the Loess Plateau in China

Ecological Indicators, Год журнала: 2024, Номер 170, С. 113020 - 113020

Опубликована: Дек. 27, 2024

Язык: Английский

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Assessment of coastal zone ecosystem health in the context of tourism development: A case study of Jiaozhou Bay

Ecological Indicators, Год журнала: 2024, Номер 169, С. 112874 - 112874

Опубликована: Дек. 1, 2024

Язык: Английский

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