A Geospatial Decision Support System for Supporting the Assessment of Land Degradation in Europe DOI Creative Commons
Piero Manna, Antonietta Agrillo, Marialaura Bancheri

et al.

Land, Journal Year: 2024, Volume and Issue: 13(1), P. 89 - 89

Published: Jan. 12, 2024

Nowadays, Land Degradation Neutrality (LDN) is on the political agenda as one of main objectives in order to respond increasing degradation processes affecting soils and territories. Nevertheless, proper implementation environmental policies very difficult due a lack operational, reliable easily usable tools necessary support decisions when identifying problems, defining causes helping find possible solutions. It within this framework that paper attempts demonstrate new valuable web-based operational LDN tool component an already running Spatial Decision Support System (S-DSS) developed Geospatial Cyberinfrastructure (GCI). The could be offered EU administrative units (e.g., municipalities) so they may better evaluate state impact land their S-DSS supports acquisition, management processing both static dynamic data, together with data visualization on-the-fly computing, perform modelling, all which potentially accessible via Web. utilized develop refer SDG 15.3.1 indicator were obtained from platform named Trends.Earth, designed monitor change by using earth observations, post-processed correct some major artefacts relating urban areas. planning producing statistics, reports maps for any area interest. will demonstrated through short selection practical case studies, where tables stats are provided challenge at different spatial extents. Currently, there WEBGIS systems visualize but—to our knowledge—this first enabling customized reporting NUTS (nomenclature territorial statistics) level entire territory.

Language: Английский

Intervention Effects of Different Forest Management Measures on Forest Degradation/Improvement in Northeast Asia DOI
Chengyuan Wang, Yuan Liu, Hongpeng Liu

et al.

Published: Jan. 1, 2025

Language: Английский

Citations

0
Investigate the Factors of Land Degradation in Chinese Provinces: An Application of Index Formation and Random Forest DOI Open Access

Z. P. Tu,

Qing‐An Huang, Xin Zhao

et al.

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

Published: Feb. 17, 2025

ABSTRACT This study analyzes factors driving land degradation in China from 1996 to 2023, focusing on gross regional product, rural population, coal consumption, and wastewater generation. Using a quantile control random forest model, the findings reveal that economic growth significantly accelerates degradation, while management are critical but partially mitigable drivers. Environmental policies implemented post‐2018, particularly following Paris Agreement, have notably reduced rates. research provides novel application of model analyze long‐term dynamics, offering precise insights into variable impacts across levels. Additionally, it contributes understanding effectiveness post‐2018 environmental mitigating aligning with global sustainability goals. The highlights need for sustainable use, cleaner energy adoption, enhanced management. Future should explore localized data broader variables deeper dynamics.

Language: Английский

Citations

0
How Do Local Economic Structures Influence the Variability of Land Sensitivity to Degradation in Italy? DOI Open Access
Emma Bruno, Rosalia Castellano, Gennaro Punzo

et al.

Sustainability, Journal Year: 2025, Volume and Issue: 17(5), P. 2149 - 2149

Published: March 2, 2025

This study examines the relationship between local economic structures and environmental sensitivity in Italy, focusing on a novel indicator that estimates spatial variability of Environmentally Sensitive Area Index (ESAI) over time. approach captures within-region disparities degradation processes, addressing key gap existing literature. Using dataset covering all Italian provinces from 1960 to 2010 considering multiple socio-economic variables, research evaluates their impacts ESAI variability. In particular, this adopts autoregressive model (SAR), which allows both direct indirect effects selected predictors be captured. The findings offer insights for policymakers designing strategies mitigate spread land hotspots promote balance conservation with development ensure resource sustainability.

Language: Английский

Citations

0
Assessment of land degradation neutrality to guide sustainable land management practices in Ethiopia DOI Creative Commons
Wolde Mekuria, Rediet Girma

Environmental Challenges, Journal Year: 2025, Volume and Issue: unknown, P. 101137 - 101137

Published: March 1, 2025

Language: Английский

Citations

0
Advanced geospatial modeling and assessment of land degradation severity zones in India’s semi-arid regions DOI
Pradeep Kumar Badapalli, Anusha Boya Nakkala,

Padma Sree Pujari

et al.

Environmental Monitoring and Assessment, Journal Year: 2025, Volume and Issue: 197(4)

Published: March 21, 2025

Language: Английский

Citations

0
Combating desertification: comprehensive strategies, challenges, and future directions for sustainable solutions DOI
Waqar Islam,

Fanjiang Zeng,

Junaid Ali Siddiqui

et al.

Biological reviews/Biological reviews of the Cambridge Philosophical Society, Journal Year: 2025, Volume and Issue: unknown

Published: April 3, 2025

ABSTRACT Desertification, a process through which once fertile and productive land is degraded into barren, arid desert, represents significant environmental challenge with widespread consequences for ecosystems human populations globally. This review explores the fundamental causes of desertification, its profound socio‐economic impacts, strategies employed to combat it. We address diverse range approaches aimed at mitigating effects in particular importance sustainable management practices, such as reforestation soil conservation. also examine numerous obstacles practical implementation these potential future directions more effective management. In addition, we highlight role policy frameworks, governmental interventions, international cooperation essential components addressing this pressing issue. As desertification continues threaten both livelihoods vulnerable regions, comprehensive understanding strategies, challenges, solutions will be crucial ensuring resilience affected communities preservation biodiversity. By fostering land‐use practices promoting global cooperation, can pave way resilient improved well‐being facing severe degradation.

Language: Английский

Citations

0
Mapping sustainability-oriented China’s cropland use stability DOI
Xinyuan Liang, Xiaobin Jin, Yue Dou

et al.

Computers and Electronics in Agriculture, Journal Year: 2024, Volume and Issue: 219, P. 108823 - 108823

Published: March 11, 2024

Language: Английский

Citations

3
A synthesis on land degradation in the context of sustainable development goals DOI Creative Commons

Ryan Nedd,

Aavudai Anandhi

Land Degradation and Development, Journal Year: 2024, Volume and Issue: 35(13), P. 3937 - 3964

Published: July 10, 2024

Abstract Land degradation (LD) is a severe and well‐known global concern. Therefore, this review aimed to find broader connections between LD the Sustainable Development Goals (SDGs). This literature aims synthesize definitions, processes, assessments, challenges associated with LD. Furthermore, we developed universally applicable concise definition of that links wide range contexts studies. Specifically, categorized LD‐related processes into physical, chemical, biological synthesized 20 methods/formulas used in assessment Finally, most significant context resolution provided corresponding recommendations. The also identified main SDG targets directly affects role relation SDGs. Overall, expect be valuable resource for researchers practitioners aiming obtain comprehensive understanding findings study shed light on various aspects concerning SDGs' challenges, interactions can policymakers. information facilitate sustainable scientifically rooted use land resources provide knowledge advice combating reach specific SDGs

Language: Английский

Citations

3
The Use of Renewable Energy Sources and Environmental Degradation in EU Countries DOI Open Access
Agnieszka Sompolska‐Rzechuła, Iwona Bąk, Aneta Becker

et al.

Sustainability, Journal Year: 2024, Volume and Issue: 16(23), P. 10416 - 10416

Published: Nov. 28, 2024

Renewable energy sources play a crucial role in sustainable development strategies, addressing environmental protection, security, economic growth, and enhancing quality of life. are significantly less damaging to the environment compared traditional sources, as they help lower greenhouse gas emissions, decrease air water pollution, consequently, limit degradation. The study helped formulate following research goals: assessment changes use renewable degree degradation European Union countries, comparison spatial differentiation EU countries terms degradation, taking into account both indicated criteria. survey covers years 2015, 2019, 2021. article highlights important analytical methods analysis consumption its impact on environment. Self-Organizing Map was used for grouping based sources’ levels allowing identification patterns clusters. results showed that Scandinavian leading way low while Eastern struggling, with share high

Language: Английский

Citations

3
Integrated Modeling of Land Degradation Dynamics and Insights on the Possible Future Management Alternatives in the Gidabo River Basin, Ethiopian Rift Valley DOI Creative Commons
Rediet Girma, Awdenegest Moges, Christine Fürst

et al.

Land, Journal Year: 2023, Volume and Issue: 12(9), P. 1809 - 1809

Published: Sept. 20, 2023

Land degradation is a pivotal environmental concern, bearing substantial impacts in the Gidabo river basin (GRB) Ethiopia, prompting critical need for effective mitigation strategies. In this study, we aimed to assess dynamics of land pathways context change climate and use. The identification potential erosion hotspots appraisal management strategies was also carried out. Soil Water Assessment Tool (SWAT) Good Practice Guidance (GPG) framework employed. results revealed compelling synergy between use changes, asserting joint individual prevalence influencing surface runoff sediment yield. past simulation 4–5.9% 24–43% increments mean annual yield, respectively. While near (2021–2040) mid (2041–2060) future scenarios displayed varying trends under RCP4.5 RCP8.5. Furthermore, sub-basins prone soil risk were identified, thereby enabling targeted conservation efforts. assessment neutrality (LDN) unveiled expansion trajectories (by 26%) from 1985–2003 2003–2021. This might be attributed dynamic interplay cover (LULC) change, with croplands bare emerging as high-risk degraded areas. Addressing these concerns, soil/stone bund, terracing, contour farming, reforestation practice can significantly reduce yield future. integration indicators LDN sub-indicators provide more comprehensive approach that lead restoration achieve goal. findings study could contribute crucial insights implications policymakers, managers, conservationists. Moreover, efforts should directed expand investigations into diverse measures.

Language: Английский

Citations

7