Environmental Challenges最新文献

{"title":"Climate-smart and risk-resilient adaptation strategies for potato production: a meta-analysis for South Asia","authors":"M.A. Ansari ,&nbsp;Himanshu Joshi ,&nbsp;Priyanka Mehta ,&nbsp;Aniket Deo ,&nbsp;Kaushik Bora ,&nbsp;C.A. Rama Rao ,&nbsp;V.K. Singh ,&nbsp;N. Ravisankar ,&nbsp;Sunil Kumar ,&nbsp;Raghavendra Singh ,&nbsp;S.K. Bandyopadhyay ,&nbsp;Pramod K. Aggarwal","doi":"10.1016/j.envc.2025.101183","DOIUrl":"10.1016/j.envc.2025.101183","url":null,"abstract":"<div><div>Climate change presents formidable risks to potato production in South Asia, a region pivotal to global food security and regional economic stability. South Asia’s potato production is particularly vulnerable to increasing climatic threats, such as terminal heat, erratic rainfall, and other climate-induced hazards that jeopardize agricultural sustainability. Despite these escalating risks, there is a critical gap in knowledge regarding the effectiveness of climate-smart adaptation strategies tailored for potato cultivation in this context. This study synthesizes data from 95 research papers across four South Asian countries (India, Bangladesh, Nepal, and Sri Lanka), assessing the impacts of key climate hazards and the corresponding adaptation strategies to mitigate risks. Using a structured synthesis and random-effect meta-analysis, this research evaluated the effectiveness of various strategies in enhancing potato production. Results indicated substantial yield improvements with mulching (28.30%), planting date adjustments (28.11%), stress-tolerant genotypes (23.22%), and irrigation management (22.86%), demonstrating their transformative potential. However, the high variability observed in strategies like mulching (τ² = 11.60) and organic farming (τ² = 7.23) highlights the necessity for site-specific customization, while consistent outcomes in intercropping, nutrient management, crop rotation, and stress tolerance (τ² = 0.00) confirm their broad applicability. The absence of significant publication bias (Egger p-value &gt; 0.05) and robust sensitivity analyses validate the reliability of these findings. The study underscores the urgent need for localized adaptation strategies, strengthened policy frameworks, and long-term research to build climate-resilient potato production systems and secure sustainable agricultural practices across South Asia amidst growing climate challenges.</div></div>","PeriodicalId":34794,"journal":{"name":"Environmental Challenges","volume":"20 ","pages":"Article 101183"},"PeriodicalIF":0.0,"publicationDate":"2025-05-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144090025","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Dynamic economic valuation of coastal wetland restoration: A nature-based solution for climate and biodiversity","authors":"Wei Yang ,&nbsp;Chris C. Tanner ,&nbsp;Paula Holland ,&nbsp;Zoe Qu","doi":"10.1016/j.envc.2025.101182","DOIUrl":"10.1016/j.envc.2025.101182","url":null,"abstract":"<div><div>This paper explores the dynamic linkage between coastal wetland restoration and the resulting economic benefits, with a focus on nonmarket values such as climate regulation and biodiversity conservation. Coastal wetlands are recognised as highly effective natural carbon sinks, offering significant ecosystem services that contribute to climate change mitigation and adaptation. By utilising a modelling framework that integrates ecological recovery processes and economic valuations over a 100-year period, we provide insights into optimising long-term returns from wetland restoration. This study emphasises the importance of accounting for the temporal dynamics of ecosystem recovery, highlighting the lag between restoration activities and full ecosystem functionality. Our findings highlight the importance of nature-based solutions in global climate finance strategies and emphasise the need for more accurate, targeted investment in wetland restoration. This approach ensures that resources are allocated efficiently over time, maximising the benefits of enhancing coastal resilience and achieving long-term climate goals.</div></div>","PeriodicalId":34794,"journal":{"name":"Environmental Challenges","volume":"20 ","pages":"Article 101182"},"PeriodicalIF":0.0,"publicationDate":"2025-05-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144071782","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Association between Wildfire area and PM2.5 levels on the Prevalence of Mental disorders in Thailand","authors":"Weerapat Emprasertsuk ,&nbsp;Amarit Tansawet ,&nbsp;Romen Samuel Rodis Wabina ,&nbsp;Chaiyawat Suppasilp","doi":"10.1016/j.envc.2025.101184","DOIUrl":"10.1016/j.envc.2025.101184","url":null,"abstract":"<div><div>Association between wildfire and health outcomes has usually been studied based on major wildfire events. However, studies on chronic wildfire activity, especially studies of the effects that mediate through particulate matter 2.5 (PM2.5), remain limited. This study aims to investigate the association between wildfire area and satellite-derived PM2.5 levels over years with the prevalence of mental disorders across Thailand. Data were obtained from secondary sources for the years 2015 to 2023, aggregated at the provincial level annually. Poisson regression models with robust standard errors, clustered by province, were employed to estimate prevalence ratios (PR). To estimate indirect effects of wildfire through PM2.5, mediation analyses were conducted for disorders that showed significant associations. The findings showed significant associations of wildfire exposure and prevalence of dementia (PR = 1.010), alcohol dependence (PR= 1.007), stimulant dependence (PR= 1.009), other substance dependence (PR= 1.008), bipolar disorder (PR= 1.008), depressive disorders (PR= 1.012), anxiety disorders (PR= 1.008), other mental disorders (PR= 1.009), and suicide attempts (PR = 1.009), with all <em>P</em> &lt; 0.05. Despite the significant correlation between wildfire exposure and PM2.5, mediation analysis revealed that wildfires exert direct effects on mental disorders, rather than through the PM2.5 pathway. In conclusion, wildfire may play an important role in the occurrence of mental disorders. Enhanced wildfire monitoring and mitigation efforts should be prioritized to potentially reduce the prevalence of mental disorders, rather than relying solely on air pollution levels for public health interventions.</div></div>","PeriodicalId":34794,"journal":{"name":"Environmental Challenges","volume":"20 ","pages":"Article 101184"},"PeriodicalIF":0.0,"publicationDate":"2025-05-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144072045","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Visible light-driven removal of methylene blue through photocatalytic reaction using CuFe2O4/N-TiO2","authors":"Abda Nurhaqi ,&nbsp;Badrut Tamam Ibnu Ali ,&nbsp;Riki Subagyo ,&nbsp;Herlina Rasyid ,&nbsp;Rani Maharani ,&nbsp;Christina Wahyu Kartikowati ,&nbsp;Dewi Umaningrum ,&nbsp;Sri Fatmawati ,&nbsp;Ratna Ediati ,&nbsp;Triyanda Gunawan ,&nbsp;Retno Asih ,&nbsp;Syafsir Akhlus ,&nbsp;Yuly Kusumawati","doi":"10.1016/j.envc.2025.101180","DOIUrl":"10.1016/j.envc.2025.101180","url":null,"abstract":"<div><div>CuFe₂O₄/N-TiO₂ photocatalyst was used for the removal of methylene blue (MB) dye under visible light. Various characterisation techniques were performed, including X-ray diffraction (XRD), UV Diffuse Reflectance Spectroscopy (UV-DRS), scanning electron microscopy (SEM) and vibrating-sample magnetometry (VSM). UV-DRS results showed a reduced TiO₂ bandgap after nitrogen doping and addition of CuFe₂O₄. The photocatalytic removal of MB was achieved 98.7 % after 180 min irradiation for nitrogen doped TiO₂ (N-TiO₂). The addition of CuFe₂O₄ improved the magnetic properties. The optimal composition of 5 % CuFe₂O₄/N-TiO₂, exhibited good magnetic properties and 97.56 % of MB removal efficiency. The 5 % CuFe₂O₄/N-TiO₂ also exhibit maintaining over 90 % of MB removal efficiency across three cycles process. The proposed degradation pathway was presented based on Liquid Chromatography Mass Spectrophotometer (LCMS). Based on the obtained results, 5 % CuFe₂O₄/N-TiO₂ can be proposed as photocatalyst for MB removal and its magnetic properties is beneficial for quick separation from the solution after photocatalytic process.</div></div>","PeriodicalId":34794,"journal":{"name":"Environmental Challenges","volume":"20 ","pages":"Article 101180"},"PeriodicalIF":0.0,"publicationDate":"2025-05-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144069614","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Streamflow forecasting using machine learning for flood management and mitigation in the White Volta basin of Ghana","authors":"JosephineThywill Katsekpor ,&nbsp;Klaus Greve ,&nbsp;Edmund I. Yamba","doi":"10.1016/j.envc.2025.101181","DOIUrl":"10.1016/j.envc.2025.101181","url":null,"abstract":"<div><div>Floods are a major threat to livelihoods and infrastructure in the White Volta basin of Ghana. Providing accurate streamflow information is essential for flood management and mitigation. This study, for the first time, used machine learning algorithms, specifically the Long Short-Term Memory (LSTM) and Random Forest (RF), trained on rainfall, temperature, soil moisture, and evapotranspiration data to predict streamflow at 1, 5, and 10-day intervals in the White Volta basin. The study further used these models (RF and LSTM) to forecast future streamflow using CMIP6 SSP5–8.5 scenario data. The model’s output was mainly evaluated using Mean Absolute Error, Mean Bias Error, and Kling-Gupta Efficiency. The result showed high variability in the streamflow, and both models performed well in capturing these variabilities. LSTM performed better in capturing peak flows, whereas RF provided stable long-term predictions for up to 10 days. The future predictions also showed high variability in streamflow, suggesting an increased risk of floods and droughts in the White Volta basin. Given that these models can capture the timings of streamflow (seasonal patterns and peaks), they are well-positioned to provide accurate and reliable forecasts to support effective flood risk management and mitigation in the basin. These models can be extended to similar basins, offering a replicable and sustainable framework for proactive flood early warnings.</div></div>","PeriodicalId":34794,"journal":{"name":"Environmental Challenges","volume":"20 ","pages":"Article 101181"},"PeriodicalIF":0.0,"publicationDate":"2025-05-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144071721","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Surveying urban anglers with community partner input to assess contamination risk and inform environmental management","authors":"Madeleine Meadows-McDonnell ,&nbsp;Franco N. Gigliotti ,&nbsp;Jessica I. Espinosa ,&nbsp;Raul D. Flamenco","doi":"10.1016/j.envc.2025.101179","DOIUrl":"10.1016/j.envc.2025.101179","url":null,"abstract":"<div><div>Fishing for food in urban areas is common across the world, but the health risks of consuming contaminated fish and shellfish are often understudied and underreported, as are the demographics of urban angling communities. We worked with community partners from governmental and local organizations in New Haven, Connecticut, USA to better understand the behaviors, perceptions, and values of urban anglers, and to identify contaminant risks and risk mitigation strategies. With community partner input, we designed and disseminated a survey to urban anglers in the city. Results indicate that fishing for food is prevalent among anglers in New Haven, that anglers target common game species for consumption, and that anglers are generally concerned about the health risks and contributing factors of fish contamination. With the survey results in mind, we identified mitigation actions with community partners that could abate adverse health risks to New Haven anglers. Overall, the strategies that most community partners agreed would be both effective and feasible included updating long-form advisories, improving and increasing the signage around known popular fishing locations (especially those close to point-source pollution sites), hosting community-led educational opportunities for anglers, and expanding water quality and fish contaminant monitoring.</div></div>","PeriodicalId":34794,"journal":{"name":"Environmental Challenges","volume":"20 ","pages":"Article 101179"},"PeriodicalIF":0.0,"publicationDate":"2025-05-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144090052","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Spatiotemporal analysis of thermal islands in a semi-arid city: A case study of Kermanshah, Iran using machine learning and remote sensing","authors":"Peyman Karami ,&nbsp;Seyed-Mohsen Mousavi","doi":"10.1016/j.envc.2025.101174","DOIUrl":"10.1016/j.envc.2025.101174","url":null,"abstract":"<div><div>Studying urban land use/land cover (LULC) and land surface temperature (LST), and assessing their changes, is crucial for understanding and mitigating the environmental and climatic impacts on cities in semi-arid regions, where water scarcity and heat stress exacerbate urban sustainability challenges. In this study, Landsat 8 data from 2013 to 2023 were used to assess changes in Kermanshah city. LST was extracted using a Mono-Window algorithm (MWA) for each year. Following Intensity-Hue-Saturation (IHS) pan-sharpening, LULCs were classified into five categories: built-up areas, vacant land, green spaces, water bodies, and transportation infrastructure, using training samples and machine learning methods. Cold Islands (<em>CIs</em>) and Hot Islands (HIs) were identified for each image using LST and Getis-Ord Gi analysis, and their spatio-temporal changes were evaluated with the Kappa index and landscape metrics. The sample size for assessing the impact of environmental parameters on LST variations was determined using the Cochran formula. Topographic, topoclimate, and biophysical variables, along with machine learning methods and the chi-square test, were employed to model and evaluate LST variation across different LULCs.</div><div>The results demonstrate a significant increase in HIs, particularly in the city's periphery, driven by rapid urbanization, impervious surface expansion, and reduced green cover. Key environmental factors, including elevation, built-up areas, and green space density, critically influenced LST variations. Although green spaces expanded in some areas, they were insufficient to counteract the intensifying HI effect. The analysis revealed a 65 % spatial consistency in HI patterns over the decade, highlighting persistent thermal hotspots.</div><div>The findings underscore the urgent need for sustainable urban planning, prioritizing green infrastructure and resilient design strategies to mitigate HI effects, reduce energy consumption, and improve urban livability. Future studies could focus on the impact of building heights and the expansion of urban green spaces on thermal islands.</div></div>","PeriodicalId":34794,"journal":{"name":"Environmental Challenges","volume":"20 ","pages":"Article 101174"},"PeriodicalIF":0.0,"publicationDate":"2025-05-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144071781","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Assessing Geological and Seismic Hazards of Malili-Matano Region, East Luwu Regency, Sulawesi: A preliminary study for CCS and Strategic Infrastructure Planning","authors":"Asdani Soehaimi ,&nbsp;Tatang Padmawidjaja ,&nbsp;Subagio Subagio ,&nbsp;Ibrahim Mandi ,&nbsp;Adrin Tohari ,&nbsp;Suharsono Suharsono ,&nbsp;David Menier ,&nbsp;Manoj Mathew ,&nbsp;Mu Ramkumar ,&nbsp;Franto Novico","doi":"10.1016/j.envc.2025.101177","DOIUrl":"10.1016/j.envc.2025.101177","url":null,"abstract":"<div><div>Understanding the seismotectonic characteristics and seismic hazards of the Malili-Matano Region (MMR) in Sulawesi is crucial due to its proximity to active faults, including the Matano Fault Zone (MFZ) and surrounding fault systems. These geological conditions pose significant risks to infrastructure development, particularly Carbon Capture and Storage (CCS) facilities<strong>,</strong> which require a thorough assessment of seismic hazards. This study integrates seismotectonic mapping and Probabilistic Seismic Hazard Analysis (PSHA) to evaluate earthquake risks, with a particular focus on spectral acceleration (PSA) values that influence structural resilience.</div><div>The results indicate that MMR exhibits complex fault interactions<strong>,</strong> leading to elevated Peak Ground Acceleration (PGA<strong>)</strong> and Spectral Acceleration (PSA) values, with PSA Ss = 1.10 g at 0.2 s and S1 = 0.55 g at 1 s for Site Class SB under a 2 % probability of exceedance in 50 years (2500-year return period). These seismic hazard estimates suggest that structural design in the region must adhere to Seismic Design Category D standards, including reinforced foundations and real-time ground motion monitoring to enhance CCS infrastructure safety. The study underscores the importance of continuous seismic monitoring, hazard mitigation strategies, and risk communication for infrastructure resilience in seismically active environments. The findings contribute to a refined understanding of seismotectonic behavior in MMR and its implications for CCS site selection and long-term sustainability.</div></div>","PeriodicalId":34794,"journal":{"name":"Environmental Challenges","volume":"19 ","pages":"Article 101177"},"PeriodicalIF":0.0,"publicationDate":"2025-05-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143929357","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Investigating soil erosion processes from source-to-sink to prioritise erosion hotspots in the Ethiopian highlands","authors":"Haftu Y. Hadush ,&nbsp;Berhane Grum ,&nbsp;Jantiene Baartman ,&nbsp;Kebede Wolka ,&nbsp;Niguse Abebe ,&nbsp;Ton Hoitink ,&nbsp;Martine van der Ploeg","doi":"10.1016/j.envc.2025.101173","DOIUrl":"10.1016/j.envc.2025.101173","url":null,"abstract":"<div><div>Addressing the adverse impacts of soil erosion through effective soil conservation measures (SDG15) requires a thorough understanding of the erosion processes involved. However, existing erosion prediction models are often compared solely to sediment outflow at catchment outlets without explicitly assessing these various processes. In such cases, the observed and simulated rates at the outlet may align well without effectively showing the spatial sediment redistribution patterns in the catchment. Moreover, data availability is often limited for remote catchments. This study combined the less data-intensive Unit Stream Power Erosion Deposition (USPED) model with gully erosion indices to analyse sediment redistribution and to identify erosion hotspots in a data-scarce catchment in the Ethiopian highland. The model performance was evaluated spatially at three scales, each characterised by distinct erosion processes. The main findings indicate that the model displayed overall agreement across the three scales (R² = 0.63, NSE = 0.40, KGE = 0.47, Pbias = 5 %, RMSE = 1.39 t ha⁻¹ yr⁻¹). The catchment experienced an average soil erosion of 32.3 t ha⁻¹ yr⁻¹ from 2000 to 2023, resulting in a total annual loss of 0.32 million tons. The most erosion-prone areas, which comprise just 18 % of the catchment area, contributed approximately 69 % of the total soil erosion. The observed erosion processes vary by scale, emphasising the need for scale-aware modelling, with distinct erosion processes involved. In conclusion, the USPED model, combined with gully erosion indices, effectively captures the dominant erosion processes at various scales and identifies hotspots for targeted conservation amid land use changes.</div></div>","PeriodicalId":34794,"journal":{"name":"Environmental Challenges","volume":"20 ","pages":"Article 101173"},"PeriodicalIF":0.0,"publicationDate":"2025-05-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143932131","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Climate change and variability as drivers of vegetation dynamics in Bontioli Natural Reserve, West African drylands","authors":"Issaka Abdou Razakou Kiribou ,&nbsp;Theodore Nikiema ,&nbsp;Kangbéni Dimobe ,&nbsp;Benewinde Jean-Bosco Zoungrana ,&nbsp;Valentin Ouedraogo ,&nbsp;Huiyi Yang ,&nbsp;Truly Santika ,&nbsp;Sintayehu W. Dejene","doi":"10.1016/j.envc.2025.101175","DOIUrl":"10.1016/j.envc.2025.101175","url":null,"abstract":"<div><div>Climate change significantly impacts vegetation dynamics and plant productivity by affecting temperature, rainfall and seasonal patterns. In dryland ecosystems such as the West African savanna, these changes accelerate biodiversity loss, and reduces carbon sequestration capacity. This study examines vegetation response to climate variability in the Bontioli Natural Reserve (BNR), within the West African savanna. Using the Normalized Difference Vegetation Index (NDVI) retrieved from Landsat imagery via the Google Earth Engine platform, coupled with high-resolution bioclimatic data from the climatologies at high resolution for the earth’s land surface areas (CHELSA) we analysed the vegetation changes over the past three decades (1993 to 2023) employing Generalize Additive Modelling (GAM). Results indicate significant shifts in vegetation dynamics at a rate of 0.051 ± 0.043/year, with vegetation decline primarily associated with increased temperatures and reduced rainfall. The model (R² = 0.836, <em>p</em> &lt; 0.001, deviance explained= 0.935, RMSE= 0.073) underscores that rising temperature and prolonged droughts are key drivers of vegetation stress, while intermittent rainfall events trigger only temporary recovery phases. Vegetation productivity peaks were recorded at rainfall levels around 250–300 mm, and temperatures between 26 and 28 °C. Spatial analysis of NDVI with fractional vegetation cover (FVC) highlights an ongoing decline in dense vegetation across the BNR, emphazing the severe consequences of climate change. These findings revealed the critical role protected areas play in mitigating climate impacts by maintaining ecological integrity and promoting vegetation resilience. A safeguarding measure with climate smart policies can play a crucial role in improving the vegetation resilience to climate change effects. Conservationists and policymakers should focus on integrative adaptive long-term climate-resilient plant species. Addressing these challenges directly supports the achievement of SDG 13 and 15 across the broader West African Savanna region.</div></div>","PeriodicalId":34794,"journal":{"name":"Environmental Challenges","volume":"20 ","pages":"Article 101175"},"PeriodicalIF":0.0,"publicationDate":"2025-05-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143932132","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}