Carbon consciousness: The influence of CEO ownership

Journal of Environmental Management, Journal Year: 2024, Volume and Issue: 364, P. 121455 - 121455

Published: June 15, 2024

Language: Английский

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Mapping the Spatiotemporal Dynamics of Cropland Abandonment and Recultivation across the Yangtze River Basin

Remote Sensing, Journal Year: 2024, Volume and Issue: 16(6), P. 1052 - 1052

Published: March 15, 2024

Whether China can achieve the United Nations’ Sustainable Development Goals (SDGs) largely depends on ability of main food-producing areas to cope with multiple land use change challenges. Despite fact that Yangtze River basin is one key regions for China’s food security, spatiotemporal dynamics cropland abandonment and recultivation remain unexplored in this region. The present study assesses evolution agricultural system within between 2000 2020 by mapping using MODIS time series cover products. results highlight a widespread process (i.e., 10.5% total area 2020), predominantly Western Sichuan, Eastern Yunnan, Central Jiangxi. Although 70% abandoned situated slopes less than 5°, highest rates are mountainous regions. However, 2020, 74% had been recultivated at least once, whereas half croplands got three years their initial abandonment. Hence, as first studies unravels complex interaction explicit context, it offers (i) scientists novel methodological framework assess issues across large geographical entities, (ii) policy-makers new insights support sustainable transition sector.

Language: Английский

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Assessing the impact of land use and land cover changes on soil properties and carbon sequestration in the upper Himalayan Region of Gilgit, Pakistan

Deleted Journal, Journal Year: 2024, Volume and Issue: unknown, P. 100038 - 100038

Published: Dec. 1, 2024

Language: Английский

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Influencing Mechanisms of Ecosystem Services on Net Carbon Sink Efficiency and Spatial Differentiation Thereof: A Case Study of the Shanghai Metropolitan Area

Landscape Architecture, Journal Year: 2025, Volume and Issue: 32(1), P. 49 - 56

Published: Jan. 1, 2025

Ecosystem services are the link between ecosystems and social systems. While effectively coordinating regional ecological, economic needs promoting carbon sequestration emission reduction, ecosystem can be transmitted to surrounding areas boost ecological space optimization. Under guidance of peaking neutrality goals, clarifying positive impact on net sink efficiency in metropolitan spillover effect contribute service enhancement, realize efficient reduction space. Supported by multi-source panel data spanning period from 2010 2020, this research takes Shanghai Metropolitan Area as object divides area into 40 units. Based multiple benefits synergistically urban enhancement constructs a indicator system. Then, utilizing undesirable slacks-based measurement (SBM) model, evaluates each unit during further explores distributional characteristics spatial-temporal changes sinks, emissions, geospatial perspective. In combination with guiding content spatial synergistic planning for Area, four important services, namely water retention, purification, soil retention biodiversity maintenance, quantitatively characterized InVEST model. Subsequently, based decomposition effects (direct, indirect total effects) obtained econometric influencing mechanisms their interrelationship units analyzed. addition, innovatively revealed according flow conduction mechanisms. Research results summarized follows. 1) During 11 years growth dioxide emissions gradually slowed down, while primary productivity vegetation continued increase, high sinks were partially overlapped; some core nodes, such City, maintained steady improvement, driving neighboring cities reduce increase sinks; meanwhile, improved have similar divided 2 types: production value, those medium-high low sinks. 2) The significant heterogeneity relatively stable over 11-year period, values mainly distributed southwestern part cover around Taihu Lake concentrated resources, construction near traffic arteries, amount has shown fluctuating characteristics. 3) Regarding efficiency, there differences coefficients, directions significance different services. For trade-off index relationship index, direct significantly positive, negative. clarifies that water-related purification affect attention should paid network system its coupling green grey spaces, so stimulate vitality Jiangnan vein. As it is necessary differentiate optimization strategies type local conditions, conservation spaces continuously strengthened, followed joint protection control red lines areas, promote territorial activities, thus contributing improvement general. clearly demonstrates enhancing conserving reveals an effective path region, which may provide certain reference improving management.

Language: Английский

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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

Land Degradation and Development, Journal Year: 2025, Volume and Issue: unknown

Published: March 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.

Language: Английский

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Impacts of Multi‐Land Use Decisions on Temperate Forest Habitat Quality in the Changbai Mountain Region, Northeast China

Ecology and Evolution, Journal Year: 2025, Volume and Issue: 15(4)

Published: March 27, 2025

ABSTRACT Human‐driven land use changes significantly contribute to habitat loss and fragmentation in temperate forests, prompting the implementation of ecological conservation programs. However, these efforts may be undermined by competing demands economic development. This study assessed forest quality relative contribution decisions (ecological programs, cropland expansion, urbanization) Changbai Mountain region, Northeast China from 1990 2050. Our results revealed a region‐wide decline (−20.77%) over past 30 years, with projected improvements (+14.64%) under future scenario, albeit considerable regional variations. Ecological programs contributed long‐term preserving expanding cover. expansion urbanization through conversion were identified as primary drivers degradation, leading both direct indirect negative effects on remaining habitat. findings offer valuable insights into effectiveness trade‐offs posed pressures, highlighting need for integrated strategies that balance socio‐economic objectives management.

Language: Английский

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Spatiotemporal Evolution of Land Use and Carbon Storage in China: Multi-Scenario Simulation and Driving Factor Analysis Based on the PLUS-InVEST Model and SHAP

Environmental Research, Journal Year: 2025, Volume and Issue: 279, P. 121860 - 121860

Published: May 19, 2025

Language: Английский

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Aquaculture Ponds Identification Based on Multi-Feature Combination Strategy and Machine Learning from Landsat-5/8 in a Typical Inland Lake of China

Remote Sensing, Journal Year: 2024, Volume and Issue: 16(12), P. 2168 - 2168

Published: June 15, 2024

Inland aquaculture ponds, as an important land use type, have brought great economic benefits to local people but at the same time caused many environmental problems threatening regional ecology security. Therefore, understanding spatiotemporal pattern of ponds and its potential influence on water quality is vital for sustainable development inland lakes. In this study, based Landsat5/8 images, three types features, namely spectral index texture five machine learning algorithms, random forest (RF), extreme gradient boosting (XGBoost), artificial neural network (ANN), k-nearest neighbor (KNN), Gaussian naive Bayes (GNB), were combined identify some other primary around a typical lake China. The results demonstrated that XGBoost algorithm integrated features performed best among all groups algorithms with overall accuracy up 96.15%. particular, provided additional useful information besides allow more accurately separation from thus improve mapping ability in complex Next, study examined tendency found segmented increase mode, sharp during 1984–2003 then slow elevation since 2003. Further positive correlation detected between area phytoplankton population dynamics suggest likely activity quality. This provides scientific basis management ecological protection

Language: Английский

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Disentangling the Spatiotemporal Dynamics, Drivers, and Recovery of NPP in Co-Seismic Landslides: A Case Study of the 2017 Jiuzhaigou Earthquake, China

Forests, Journal Year: 2024, Volume and Issue: 15(8), P. 1381 - 1381

Published: Aug. 7, 2024

The 2017 Jiuzhaigou earthquake, registering a magnitude of 7.0, triggered series devastating geohazards, including landslides, collapses, and mudslides within the World Natural Heritage Site. These destructive events obliterated extensive tracts vegetation, severely compromising carbon storage in terrestrial ecosystems. Net Primary Productivity (NPP) reflects capacity vegetation to absorb dioxide. Accurately assessing changes NPP is crucial for unveiling recovery ecosystem after earthquake. To this end, we designed study using Moderate Resolution Imaging Spectroradiometer (MODIS) datasets. findings are as follows. co-seismic landslide areas remained stable between 525 575 g C/m2 before earthquake decreased 533 This decline continued, reaching 483 due extreme rainfall 2018, 2019, 2020. Recovery commenced 2021, by 2022, had rebounded 544 C/m2. rate revealed that, five years only 18.88% exhibited an exceeding pre-earthquake state. However, 17.14% these less than 10%, indicating that has barely begun most areas. factor detector temperature, precipitation, elevation significantly influenced recovery. Meanwhile, interaction highlighted lithology, slope, aspect also played roles when interacting with other factors. Therefore, not determined single factor, but rather interactions among various resilience demonstrated current primarily stems from restoration grassland Overall, while potential optimistic, it will require considerable amount time return

Language: Английский

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Land use changes in the Min River basin and their impact on carbon storage

Journal of King Saud University - Science, Journal Year: 2024, Volume and Issue: 36(9), P. 103404 - 103404

Published: Aug. 22, 2024

Language: Английский

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