Environmental and Sustainability Indicators最新文献

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Quantification of E-waste collection count at household level 在住户层面量化电子废物收集数量
IF 5.6
Environmental and Sustainability Indicators Pub Date : 2025-09-01 DOI: 10.1016/j.indic.2025.100898
Anika Tahsin Abha, Arash Gitifar, Rumpa Chowdhury, Anica Tasnim, Kelvin Tsun Wai Ng
{"title":"Quantification of E-waste collection count at household level","authors":"Anika Tahsin Abha,&nbsp;Arash Gitifar,&nbsp;Rumpa Chowdhury,&nbsp;Anica Tasnim,&nbsp;Kelvin Tsun Wai Ng","doi":"10.1016/j.indic.2025.100898","DOIUrl":"10.1016/j.indic.2025.100898","url":null,"abstract":"<div><div>Electronic waste (e-waste) refers to discarded electrical and electronic equipment that is unwanted as has reached an end of service life, no longer wanted, or obsolete. Existing literature shows a notable knowledge gap in e-waste assessment at household level. This study examines e-waste management of four e-waste categories (computers, televisions, cellphones, and audio-visual equipment) across three Canadian provinces of British Columbia, Quebec, and Saskatchewan. The number of devices at household level were first estimated from national data. The results showed that unlike other e-wastes, cellphones experienced an overall increasing trend, from 18 to 23 units per thousand people over the study period. In terms of household participation, British Columbia generally had a higher household-participation rate, possibly due to the earliest adaptation of Extended Producer Responsibility management framework in 2007. The findings of provincial comparison recommend a target program to promote recycling of obsolete cellphones in Saskatchewan. The likelihood of households properly recycling their unwanted electronic devices showed positive correlations with the economic indicators. For instance, average income is associated with households’ likelihood of recycling computers (+0.80, p &lt; 0.001), televisions (+0.80, p &lt; 0.001), and audio-visual equipment (+0.73, p &lt; 0.001). The use of household data will pave the way for decision makers to design residential e-waste collection programs.</div></div>","PeriodicalId":36171,"journal":{"name":"Environmental and Sustainability Indicators","volume":"28 ","pages":"Article 100898"},"PeriodicalIF":5.6,"publicationDate":"2025-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144933290","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}
引用次数: 0
A machine learning approach to sustainable land use: Integrating Markov chains and XGBoost for black galingale cultivation in Thailand 可持续土地利用的机器学习方法:将马尔可夫链和XGBoost整合到泰国的黑加仑种植中
IF 5.6
Environmental and Sustainability Indicators Pub Date : 2025-09-01 DOI: 10.1016/j.indic.2025.100896
Sasarose Jaijit , Punpiti Piamsa-nga , Aphisak Witthayapraphakorn
{"title":"A machine learning approach to sustainable land use: Integrating Markov chains and XGBoost for black galingale cultivation in Thailand","authors":"Sasarose Jaijit ,&nbsp;Punpiti Piamsa-nga ,&nbsp;Aphisak Witthayapraphakorn","doi":"10.1016/j.indic.2025.100896","DOIUrl":"10.1016/j.indic.2025.100896","url":null,"abstract":"<div><div>This study examined the historical and economic potential of black galingale (<em>Kaempferia parviflora</em>) cultivation in Thailand. Using a novel hybrid machine learning approach—Markov chain modeling for temporal dynamics and XGBoost for predictive classification—we generated unbiased suitability labels and achieved highly accurate classification. The model identified 22 districts across 10 provinces as highly or moderately suitable for cultivation. Despite challenges in soil quality such as poor root penetration, unfavorable soil texture and high jarosite levels, these areas were identified as viable using spatial data and probabilistic modeling. Feature importance analysis revealed adoption percentage, jarosite depth, and elevation as key drivers of suitability. Findings aligned with Thailand's national herbal development agenda and provided a data-driven foundation for sustainable land-use policies.</div></div>","PeriodicalId":36171,"journal":{"name":"Environmental and Sustainability Indicators","volume":"28 ","pages":"Article 100896"},"PeriodicalIF":5.6,"publicationDate":"2025-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144933292","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}
引用次数: 0
Estimating groundwater recharge and water balance dynamics in the Akaki catchment of the tropical environment 热带环境下赤木流域地下水补给和水平衡动态的估算
IF 5.6
Environmental and Sustainability Indicators Pub Date : 2025-09-01 DOI: 10.1016/j.indic.2025.100807
Getamesay Nigussie , Mekuria Argaw , Dessie Nedaw , Tsegaye Tadesse , Andreas Hartmann
{"title":"Estimating groundwater recharge and water balance dynamics in the Akaki catchment of the tropical environment","authors":"Getamesay Nigussie ,&nbsp;Mekuria Argaw ,&nbsp;Dessie Nedaw ,&nbsp;Tsegaye Tadesse ,&nbsp;Andreas Hartmann","doi":"10.1016/j.indic.2025.100807","DOIUrl":"10.1016/j.indic.2025.100807","url":null,"abstract":"<div><div>Groundwater recharge and water balance estimation in the Akaki catchment of the Upper Awash Basin, central Ethiopia, is challenging due to hydrological variability and modeling uncertainties. This study quantified groundwater recharge and other water balance components in the Akaki catchment and its sub-catchments—Legedadi and Gefersa—using the WetSpass-M model. Input data included rainfall, temperature, wind speed, and two types of potential evapotranspiration (PET): FAO-Penman-Monteith and GLEAM, used interchangeably. Spatial layers such as land use/land cover (LULC), soil type, slope, and groundwater depth were derived from Landsat 8, ISDASoil, ALOS DEM, and well observations. Streamflow data were used for model calibration, validation, and performance evaluation. Groundwater recharge in Akaki was estimated at 248 mm using FAO-Penman-Monteith PET, and slightly increased to 256 mm with GLEAM. In Legedadi, recharge rose from 244 mm to 262 mm, while in Gefersa it declined from 323 mm to 307 mm. Akaki's water balance components under FAO-Penman-Monteith were 43 % actual evapotranspiration (AET), 36 % runoff, and 21 % recharge. GLEAM PET reduced AET and increased recharge in Akaki and Legedadi, but increased AET and reduced recharge in Gefersa. These adjustments lowered the water balance error in Akaki (−0.72) and Legedadi (−1.62), but slightly increased it in Gefersa (−1.72). Model performance was strong in Akaki (NSE 0.94, R<sup>2</sup> 0.95, KGE 0.95), moderate in Legedadi (NSE 0.84, KGE 0.70), and good in Gefersa (NSE 0.93, R<sup>2</sup> 0.90, KGE 0.86). However, dry-season discharge and baseflow mismatches indicate the need for improved PET estimation, higher-resolution data, and refined calibration.</div></div>","PeriodicalId":36171,"journal":{"name":"Environmental and Sustainability Indicators","volume":"27 ","pages":"Article 100807"},"PeriodicalIF":5.6,"publicationDate":"2025-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144996092","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}
引用次数: 0
A sustainability perspective: Community-based forest governance in Bangladesh 可持续发展视角:孟加拉国基于社区的森林治理
IF 5.6
Environmental and Sustainability Indicators Pub Date : 2025-09-01 DOI: 10.1016/j.indic.2025.100877
P.K. Sarker , S. Ahmed , M.N. Sadath , M.S. Rahman
{"title":"A sustainability perspective: Community-based forest governance in Bangladesh","authors":"P.K. Sarker ,&nbsp;S. Ahmed ,&nbsp;M.N. Sadath ,&nbsp;M.S. Rahman","doi":"10.1016/j.indic.2025.100877","DOIUrl":"10.1016/j.indic.2025.100877","url":null,"abstract":"<div><div>Forests play a vital role in achieving the Sustainable Development Goals (SDGs), including SDG 13 (Climate Action) and SDG 15 (Life on Land), creating ecosystem values and reducing carbon emissions through conservation and sustainable management. These policy provisions are reflected in the international forums, such as the UNFCCC, CBD, UNCCD, the WCED Sustainability Report, Rio+20, and the SDG conference, which emphasise the importance of policy coherence for achieving sustainability and transformative policy solutions. This scholarship develops sustainability indicators and applies them in Bangladesh's community-based forest governance (CBFG) in order to assess policy performance. Applying a novel analytical framework and combining document analysis with expert opinions, the study examines whether policies and related instruments are coherent and consistent in delivering sustainability solutions within the CBFG policy area. This mixed-methods approach links overarching sectoral policies with policy instruments whilst examining sustainability performance based on policy goals, instruments, and implementation resources, thereby offering a comprehensive perspective of policy outputs and outcomes. This study captured mixed findings that highlight a potential gap in achieving sustainability policy solutions for CBFG. A lack of a robust institutional framework, faulty participatory monitoring and evaluation, inadequate funding options, and inefficient sectoral coordination hinder the sustainability of operations and limit the intended societal impact. Although policy instruments facilitate achieving policy goals, policy arrangements make the government organisation more powerful, rather than establishing an effective community-based governance mechanism. We proposed comprehensive policy recommendations for the Forest Department, in addition to the future research options.</div></div>","PeriodicalId":36171,"journal":{"name":"Environmental and Sustainability Indicators","volume":"27 ","pages":"Article 100877"},"PeriodicalIF":5.6,"publicationDate":"2025-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144996237","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}
引用次数: 0
Trends and determinants of energy intensity in China: A study using index decomposition and econometric analysis 中国能源强度变化趋势及其影响因素:基于指数分解和计量分析的研究
IF 5.6
Environmental and Sustainability Indicators Pub Date : 2025-08-30 DOI: 10.1016/j.indic.2025.100892
Weiwei Huang , Yang Miao , Huiying Ye , Weilong Li
{"title":"Trends and determinants of energy intensity in China: A study using index decomposition and econometric analysis","authors":"Weiwei Huang ,&nbsp;Yang Miao ,&nbsp;Huiying Ye ,&nbsp;Weilong Li","doi":"10.1016/j.indic.2025.100892","DOIUrl":"10.1016/j.indic.2025.100892","url":null,"abstract":"<div><div>The Sustainable Development Goal (SDG) 7 underscores the global imperative to accelerate progress in energy efficiency. This paper investigates the drivers of energy intensity changes in China from 2006 to 2022 using provincial panel data, Fisher's Ideal Index decomposition, and fixed-effects econometric models. Results show that efficiency improvements are the primary contributor to reductions in energy intensity, while structural shifts have a limited impact. GDP per capita exhibits a nonlinear effect: growth increases intensity at lower income levels but reduces it at higher levels through rising environmental awareness and shifts toward low-energy products. Energy prices significantly influence intensity and structural effects, though regulatory distortions limit their effectiveness. Fiscal capacity and population growth increase energy demand, highlighting the need for green fiscal investments and energy-saving policies. Regional analysis reveals stronger efficiency gains in central and eastern provinces, while western provinces face resource and technology constraints. The findings support differentiated, regionally tailored policies to achieve sustained energy reductions and low-carbon development.</div></div>","PeriodicalId":36171,"journal":{"name":"Environmental and Sustainability Indicators","volume":"28 ","pages":"Article 100892"},"PeriodicalIF":5.6,"publicationDate":"2025-08-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144925972","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}
引用次数: 0
Evolution of habitat quality and multi-scenario simulation in the Giant Panda National Park 大熊猫国家公园生境质量演变及多场景模拟
IF 5.6
Environmental and Sustainability Indicators Pub Date : 2025-08-30 DOI: 10.1016/j.indic.2025.100893
Pengyue Dai, Jinhong Ye, Jihao Liu, Dingte Zhou, Xiping Cheng, Yanfang Wang
{"title":"Evolution of habitat quality and multi-scenario simulation in the Giant Panda National Park","authors":"Pengyue Dai,&nbsp;Jinhong Ye,&nbsp;Jihao Liu,&nbsp;Dingte Zhou,&nbsp;Xiping Cheng,&nbsp;Yanfang Wang","doi":"10.1016/j.indic.2025.100893","DOIUrl":"10.1016/j.indic.2025.100893","url":null,"abstract":"<div><div>Following the establishment of China's first national parks in October 2021, the national park system has evolved as part of a broader global commitment to ecological conservation. The Giant Panda National Park (GPNP), as a flagship park, faces pressing challenges related to biodiversity protection and land use conflicts. This study integrates the InVEST and PLUS models to assess spatiotemporal changes in habitat quality (HQ) from 2000 to 2020 and simulate future HQ trends under three land-use scenarios—natural development, ecological protection, and cultivated land protection—for the year 2030. Land use data from 2000, 2010, and 2020 were used to quantify HQ changes, and four landscape pattern metrics (Patch Density, LPI, Cohesion Index, and LSI) were incorporated to analyze spatial ecological processes. Results show that: (1) Forestland expanded while grassland declined over the 20-year period, with a concurrent increase in construction and unused land. (2) HQ exhibited a shift toward lower-quality zones, particularly in the Minshan and Qionglai–Daxiangling regions. (3) Predicted HQ indices in 2030 under the three scenarios are 0.5305 (NDS), 0.5317 (EPS), and 0.5297 (CLPS), with the ecological protection scenario yielding the most improvement due to increased vegetation cover. (4) Landscape metrics revealed increased fragmentation, edge complexity, and reduced connectivity of forest patches, suggesting structural habitat degradation despite forest area growth (5) Land use change and natural factors (e.g., precipitation, elevation). were identified as dominant drivers of HQ variation. This study highlights the importance of combining HQ modeling with spatial landscape analysis to better capture habitat dynamics. The findings provide a scientific basis for habitat management and policy formulation in the context of national park conservation.</div></div>","PeriodicalId":36171,"journal":{"name":"Environmental and Sustainability Indicators","volume":"28 ","pages":"Article 100893"},"PeriodicalIF":5.6,"publicationDate":"2025-08-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144921962","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}
引用次数: 0
Spatiotemporal analysis of landscape ecological risk and its influencing factors based on land cover changes in the Hexi Corridor, Northwest China, 2000–2020 2000-2020年基于土地覆被变化的河西走廊景观生态风险及其影响因素时空分析
IF 5.6
Environmental and Sustainability Indicators Pub Date : 2025-08-27 DOI: 10.1016/j.indic.2025.100888
Xiao-ying Nie , Chao Wang , Kai-ming Li , Fu-yuan Gao , Wan-Zhuang Huang , Xin Li
{"title":"Spatiotemporal analysis of landscape ecological risk and its influencing factors based on land cover changes in the Hexi Corridor, Northwest China, 2000–2020","authors":"Xiao-ying Nie ,&nbsp;Chao Wang ,&nbsp;Kai-ming Li ,&nbsp;Fu-yuan Gao ,&nbsp;Wan-Zhuang Huang ,&nbsp;Xin Li","doi":"10.1016/j.indic.2025.100888","DOIUrl":"10.1016/j.indic.2025.100888","url":null,"abstract":"<div><div>Land cover change (LCC) plays a critical role in shaping the distribution of regional landscape ecological risk (LER). This study investigates the spatiotemporal evolution of LER and its influencing factors in the Hexi Corridor from 2000 to 2020 by leveraging multi-source data, ecological risk assessment models, and optimal parameter geographical detectors. The results showed that the (1) Farmlands expanded from 14221 km<sup>2</sup> to 15787 km<sup>2</sup>, and built-up areas increased from 1163 km<sup>2</sup> to 1758 km<sup>2</sup>. The main land cover types transferred out were unused land (1849.73 km<sup>2</sup>), grassland (700.09 km<sup>2</sup>), and desert (359.82 km<sup>2</sup>), while the primary types transferred in were farmland (1807.63 km<sup>2</sup>), grassland (581.05 km<sup>2</sup>), and built-up areas (598.61 km<sup>2</sup>). (2) The proportions of areas with medium, relatively high, and high landscape ecological risk are relatively large. In 2020, they accounted for 21.15 %, 33.43 %, and 22.21 %, respectively. Relatively High-risk areas decreasing from 86424 km<sup>2</sup> to 82693 km<sup>2</sup>. It shows a positive correlation at the spatial scale. (3) In the single-factor detection, annual mean precipitation, NDVI, and annual mean surface temperature are the main factors influencing the changes in LER. The interaction between annual mean precipitation and NDVI is the main reason for the evolution of LER. These findings offer valuable scientific support for developing differentiated ecological protection strategies and promoting sustainable development in the Hexi Corridor.</div></div>","PeriodicalId":36171,"journal":{"name":"Environmental and Sustainability Indicators","volume":"28 ","pages":"Article 100888"},"PeriodicalIF":5.6,"publicationDate":"2025-08-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144921963","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}
引用次数: 0
Drought prediction in Bangladesh under changing climate: Integrating SDAT-SPI and SDSM-DCBC with CMIP6 data 气候变化下孟加拉国干旱预测:SDAT-SPI和SDSM-DCBC与CMIP6数据的整合
IF 5.6
Environmental and Sustainability Indicators Pub Date : 2025-08-26 DOI: 10.1016/j.indic.2025.100878
Ahmad Hasan Nury , Saiful Alam , Rounak Afroz , Saurov Nandi Majumdar , Shawly Deb Anti , Mahfujur Rahman Joy , Gulam Md. Munna
{"title":"Drought prediction in Bangladesh under changing climate: Integrating SDAT-SPI and SDSM-DCBC with CMIP6 data","authors":"Ahmad Hasan Nury ,&nbsp;Saiful Alam ,&nbsp;Rounak Afroz ,&nbsp;Saurov Nandi Majumdar ,&nbsp;Shawly Deb Anti ,&nbsp;Mahfujur Rahman Joy ,&nbsp;Gulam Md. Munna","doi":"10.1016/j.indic.2025.100878","DOIUrl":"10.1016/j.indic.2025.100878","url":null,"abstract":"<div><div>Drought is a recurring environmental challenge that disrupts soil moisture and crop water balance due to prolonged dry spells. In Bangladesh and many other regions, it has emerged as an increasingly urgent natural hazard. This study employed rainfall data to develop statistically robust drought indicators using SDAT-SPI, a nonparametric tool. Additionally, CMIP6 datasets were analyzed to assess future drought trends under various climate scenarios, providing deeper insights into potential climatic changes. To further bridge the gap between global climate models and localized drought impacts, a novel drought downscaling and bias correction framework namely SDSM-DCBC approach for CMIP6 data was developed. The SDSM-DCBC approach was applied to improve the accuracy of drought assessments by comparing model simulations with observed data. Results indicate extended drought spells in certain years, with pronounced drought clusters projected for 2052–2053 and 2082–2083. Correlation analysis revealed a statistically significant relationships between global oceanic indices and regional drought. The Niño 3.4 index was identified as the primary driver of long-term drought in the Southern region, while the Pacific Decadal Oscillation (PDO) exerted the strongest unique influence in the North. These findings enhance drought prediction accuracy and provide an essential tool for developing effective, region-specific adaptation strategies.</div></div>","PeriodicalId":36171,"journal":{"name":"Environmental and Sustainability Indicators","volume":"28 ","pages":"Article 100878"},"PeriodicalIF":5.6,"publicationDate":"2025-08-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144907136","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}
引用次数: 0
Tracking progress and interlinkages in SDG achievement: A monitoring index approach with insights from Jordan 跟踪可持续发展目标实现的进展和相互联系:约旦的监测指数方法
IF 5.6
Environmental and Sustainability Indicators Pub Date : 2025-08-25 DOI: 10.1016/j.indic.2025.100882
Ma'in Abed Alhakim Naser Ghanem , Israf Javed , Abdullah Ekinci
{"title":"Tracking progress and interlinkages in SDG achievement: A monitoring index approach with insights from Jordan","authors":"Ma'in Abed Alhakim Naser Ghanem ,&nbsp;Israf Javed ,&nbsp;Abdullah Ekinci","doi":"10.1016/j.indic.2025.100882","DOIUrl":"10.1016/j.indic.2025.100882","url":null,"abstract":"<div><div>Established by the United Nations in 2015, the Sustainable Development Goals (SDGs) consist of 17 interrelated objectives intended to address global economic, social, and environmental challenges in an integrated manner. This study proposes a national SDG monitoring index for Jordan, constructed using a comprehensive set of performance indicators. To capture interlinkages among the goals, correlation analysis is first undertaken, followed by the application of Principal Component Analysis (PCA) to consolidate the indicators into aggregated goal-level indices. Subsequently, annual growth trends are analyzed to assess the extent to which the SDGs are likely to be achieved by 2030. The empirical results reveal pronounced synergies between SDG 6 and SDG 9 while SDG 5 is associated with the most significant trade-offs. The remaining goals demonstrate varying degrees of synergy and conflict, predominantly falling within the low to moderate range. At the dimensional level, the environmental goals exhibit the highest degree of internal coherence, whereas the means of implementation dimension is characterized by the greatest trade-offs. Although improvements were observed in 14 of the 17 goals and across all four dimensions during the 2005 to 2022 period. Trend analyses suggests that the full realization of any of the goals by 2030 remains unlikely. These findings underscore the necessity of accounting for interdependencies and minimizing multicollinearity in the development of composite indices. In light of these insights, it is recommended that Jordan's policy agenda and resource allocation strategies place greater emphasis on reversing stagnation and decline in the underperforming goals to accelerate progress toward the 2030 Agenda.</div></div>","PeriodicalId":36171,"journal":{"name":"Environmental and Sustainability Indicators","volume":"28 ","pages":"Article 100882"},"PeriodicalIF":5.6,"publicationDate":"2025-08-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144907075","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}
引用次数: 0
Topics and trends in marine ecosystem services research over the long term 长期海洋生态系统服务研究的主题和趋势
IF 5.6
Environmental and Sustainability Indicators Pub Date : 2025-08-25 DOI: 10.1016/j.indic.2025.100885
Luca Russo , Hélène Gomes , Arantza Murillas , Domenico D'Alelio
{"title":"Topics and trends in marine ecosystem services research over the long term","authors":"Luca Russo ,&nbsp;Hélène Gomes ,&nbsp;Arantza Murillas ,&nbsp;Domenico D'Alelio","doi":"10.1016/j.indic.2025.100885","DOIUrl":"10.1016/j.indic.2025.100885","url":null,"abstract":"<div><div>Marine ecosystems cover approximately 97% of the world's aquatic environments and are key providers of ecosystem services (ES), playing a critical role in regulating the global climate and supporting economies and societies. Despite extensive research on marine ES, previous studies have mainly relied on traditional narrative review approaches, which often lack comprehensive thematic synthesis. This study employs Latent Dirichlet Allocation topic modeling to analyze 9048 publications from the Web of Science (1990–2024) and identify key themes in marine ES scientific research. Primary topics in marine ES research emerged: Coastal protection, Marine policy, Coral reef recreational activities, Marine wildlife tourism, Coastal tourism and recreational fisheries, Climate change impact, Blue carbon systems' carbon storage, Microbial biotic materials and biofuels, and Water purification. Results indicate a growing interest in marine ES research, with all topics presenting significant increases in the absolute annual publication trends over time. However, trends in the topic proportion revealed that, year by year, Marine policy, Climate change impact, Blue carbon systems' carbon storage, and Microbial biotic materials and biofuels topics increased, while Coral reefs recreational activities, Coastal tourism and recreational fisheries and Water purification decreased year by year. These results were validated by comparing them with case studies spanning microorganisms to the macrofauna. The applied approach emphasizes the need for integrative methodologies to refine ES assessments, bridging the ecological, economic, and policy dimensions. This study provides a framework for future research, facilitating holistic insights into marine ES trends and their implications for global sustainability.</div></div>","PeriodicalId":36171,"journal":{"name":"Environmental and Sustainability Indicators","volume":"28 ","pages":"Article 100885"},"PeriodicalIF":5.6,"publicationDate":"2025-08-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144913839","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}
引用次数: 0
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