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The sustainable utilization of water resources plays a crucial strategic role in regional economic development. The water resources carrying capacity (WRCC) is a multifaceted system influenced by diverse factors, where the interplay among water resources, societal factors, economic conditions, and ecological elements collectively determines the overall WRCC. Combining relevant research results, this paper utilized an improved TOPSIS (Technique for Order Preference by Similarity to an Ideal Solution) and GRA (grey relational analysis)-based WRCC evaluation model, introduced the panel vector autoregressive (PVAR) model to analyze the effects of interactions among subsystems, and applied the geographically and temporally weighted regression (GTWR) model for the driving analysis of WRCC. Using Ningxia Hui Autonomous Region as a case study, this paper discusses the internal dynamic relationships and driving mechanisms of the WRCC system. It also provides a new perspective for discussing WRCC in water-scarce areas and provides novel approaches for optimizing water resource management and enhancing ecological protection. The results indicate that the water resources subsystem is central to the WRCC in Ningxia, with significant interconnections among the four subsystems. However, significant spatial and temporal heterogeneity is evident across different regions. The water resources system contributes significantly, with ecological development having a positive impact on water resources. However, social and economic development has a restrictive impact on water resources. Full article

Water environment evaluation is the basis of water resource planning and sustainable utilization. As a successful case of the coordinated progress of ecological protection and economic development, the Xin’an River Basin is a model for exploring the green development model. However, there are still some problems in the synergistic cooperation between the two provinces. Exploring the differences within the basin is a key entry point for solving the dilemma of synergistic governance in the Xin’an River Basin, optimizing the allocation of resources, and improving the overall effectiveness of governance. Based on the DPSIR model, 21 water environment–related indicators were selected, and the entropy weight–TOPSIS method and gray correlation model were used to evaluate the temporal and spatial status of water resources in each county of the Xin’an River Basin. The results show that (1) The relative proximity of the water environment in Xin’an River Basin fluctuated in “M” shape during the ten years of the study period, and the relative proximity reached the optimal solution of 0.576 in 2020. (2) From the five subsystems, the state layer and the corresponding layer are the most important factors influencing the overall water environment of the Xin’an River Basin. In the future, it is intended to improve the departmental collaboration mechanism. (3) The mean values of relative proximity in Qimen County, Jiande City, and Chun’an County during the study period were 0.448, 0.445, and 0.439, respectively, and the three areas reached a moderate level. The water environment in Huizhou District and Jixi County, on the other hand, is relatively poor, and the mean values of proximity are 0.337 and 0.371, respectively, at the alert level. The poor effect of synergistic development requires a multi–factor exploration of reasonable ecological compensation standards. We give relevant suggestions for this situation. Full article

Accurate, cost-efficient vegetation mapping is critical for managing afforestation projects, particularly in resource-limited areas. This study used a consumer-grade RGB unmanned aerial vehicle (UAV) to evaluate the optimal spatial and temporal resolutions (leaf-off and leaf-on) for precise, economically viable tree species mapping. This study conducted in 2024 in Kasho, Bannu district, Pakistan, using UAV missions at multiple altitudes captured high-resolution RGB imagery (2, 4, and 6 cm) across three sampling plots. A Support Vector Machine (SVM) classifier with 5-fold cross-validation was assessed using accuracy, Shannon entropy, and cost–benefit analyses. The results showed that the 6 cm resolution achieved a reliable accuracy (R² = 0.92–0.98) with broader coverage (12.3–22.2 hectares), while the 2 cm and 4 cm resolutions offered higher accuracy (R² = 0.96–0.99) but limited coverage (4.8–14.2 hectares). The 6 cm resolution also yielded the highest benefit–cost ratio (BCR: 0.011–0.015), balancing cost-efficiency and accuracy. This study demonstrates the potential of consumer-grade UAVs for affordable, high-precision tree species mapping, while also accounting for other land cover types such as bare earth and water, supporting budget-constrained afforestation efforts. Full article

The United Nations Sustainable Development Goal (SDG) 11.1 emphasizes improving well-being, ensuring housing security, and promoting social equity. Informal settlements, one of the most vulnerable groups, require significant attention due to their dynamic changes and habitat quality. These areas limit the ability to comprehensively capture spatial heterogeneity and dynamic shifts in regional sustainable development. This study proposes an integrated approach using multi-source remote sensing data to extract the spatial distribution of informal settlements in Mumbai and assess their habitat environment quality. Specifically, seasonal spectral indices and texture features were constructed using Sentinel and SAR data, combined with the mean decrease impurity (MDI) indicator and hierarchical clustering to optimize feature selection, ultimately using a random forest (RF) model to extract the spatial distribution of informal settlements in Mumbai. Additionally, an innovative habitat environment index was developed through a Gaussian fuzzy evaluation model based on entropy weighting, providing a more robust assessment of habitat quality for informal settlements. The study demonstrates that: (1) texture features from the gray level co-occurrence matrix (GLCM) significantly improved the classification of informal settlements, with the random forest classification model achieving a kappa coefficient above 0.77, an overall accuracy exceeding 0.89, and F1 scores above 0.90; (2) informal settlements exhibited two primary development patterns: gradual expansion near formal residential areas and dependence on natural resources such as farmland, forests, and water bodies; (3) economic vitality emerged as a critical factor in improving the living environment, while social, natural, and residential conditions remained relatively stable; (4) the proportion of highly suitable and moderately suitable areas increased from 65.62% to 65.92%, although the overall improvement in informal settlements remained slow. This study highlights the novel integration of multi-source remote sensing data with machine learning for precise spatial extraction and comprehensive habitat quality assessment, providing valuable insights into urban planning and sustainable development strategies. Full article

Resource conflicts constitute a major global issue in areas rich in natural resources. The modeling of factors influencing natural resource conflicts (NRCs), including environmental, health, socio-economic, political, and legal aspects, presents a significant challenge compounded by inadequate data. Quantitative research frequently emphasizes large-scale conflicts. This study presents a novel multilevel approach, SEFLAME-CM—Spatially Explicit Fuzzy Logic-Adapted Model for Conflict Management—for advancing understanding of the relationship between NRCs and drivers under territorial and rebel-based typologies at a community level. SEFLAME-CM is hypothesized to yield a more robust positive correlation between the risk of NRCs and the interacting conflict drivers, provided that the conflict drivers and input variables remain the same. Local knowledge from stakeholders is integrated into spatial decision-making tools to advance sustainable peace initiatives. We compared our model with spatial multi-criteria evaluation for conflict management (SMCE-CM) and spatial statistics. The results from the Moran’s I scatter plots of the overall conflicts of the SEFLAME-CM and SMCE-CM models exhibit substantial values of 0.99 and 0.98, respectively. Territorial resource violence due to environmental drivers increases coast-wards, more than that stemming from rebellion. Weighing fuzzy rules and conflict drivers enables equal comparison. Environmental variables, including proximity to arable land, mangrove ecosystems, polluted water, and oil infrastructures are key factors in NRCs. Conversely, socio-economic and political factors seem to be of lesser importance, contradicting prior research conclusions. In Third World nations, local communities emphasize food security and access to environmental services over local political matters amid competition for resources. The synergistic integration of fuzzy logic analysis and community perception to address sustainable peace while simultaneously connecting environmental and socio-economic factors is SEFLAME-CM’s contribution. This underscores the importance of a holistic approach to resource conflicts in communities and the dissemination of knowledge among specialists and local stakeholders in the sustainable management of resource disputes. The findings can inform national policies and international efforts in addressing the intricate underlying challenges while emphasizing the knowledge and needs of impacted communities. SEFLAME-CM, with improvements, proficiently illustrates the capacity to model intricate real-world issues. Full article

Land consolidation is a comprehensive and challenging process in which block boundaries integrate parcels within natural and infrastructural boundaries such as roads, irrigation systems, and drainage networks, acting as a core framework. Effective block design is of critical importance, as it affects the long-term usability and productivity of agricultural parcels. In this study, the criteria effective in block planning were determined using the Analytic Hierarchy Process (AHP), and an attempt was made to determine the priority order of the criteria. The criteria affecting block planning in the study were determined as land slope and topography, soil properties and fertility, climatic conditions, water resources and irrigation facilities, current ownership structure (shareholding), road planning and transportation, environmental and ecological factors, social and economic factors, plant species and agricultural activities, infrastructure and technological facilities, fixed facilities, parcel structure, and existence of projects made or to be made by the investor institutions or organizations. It was determined that the most important of these was the “existence of fixed facilities” criterion. Determining the priority order of the criteria used in block planning also provides the opportunity to use the obtained results in GIS. Full article

(1) Background: Water scarcity is a pressing global issue, impacting food security, health, and economic stability in many regions. In Yemen, the challenges related to water resources are particularly acute, exacerbated by climate change, overuse, and a lack of sustainable management strategies. (2) Objective: this paper assesses water resources and demands under two shared socioeconomic pathways, SSP3 and SSP5. (3) Methods: remote sensing, the MRI-ESM2-0 climate model, and QGIS 3.28 are used for spatial analysis and climate projections. (4) Results: The 2022 estimation of water supplies comprising renewable surface water, renewable groundwater, and non-conventional water resources are estimated at 208 million m³ (MCM). In contrast, water demands are estimated at 244 MCM, resulting in a total water deficit of 36 MCM. For future projections, two scenarios are assessed: business as usual and the improved scenario considering two climate change scenarios, SSP3 and SSP5. The improved scenario considers using drip irrigation, decreasing population growth rates, and constructing seawater desalination plant. Findings indicate that maintaining land and irrigation practices will exacerbate groundwater depletion and threaten water security, while the improved scenario effectively narrows the supply–demand gap. (5) Conclusions: All scenarios predict severe water shortages in the Lower Region, underscoring the urgent need for additional water resources, including a proposed 50 MCM seawater desalination plant. This study provides critical insights into sustainable water management strategies for Yemen, highlighting the necessity for immediate action. Full article

In this paper, a coal–water–ecology (CWE) index system is firstly constructed based on an analysis of the current situation regarding coal mining, water resource utilization, and the ecological environment in an open-pit combined underground mining area. Three methods are used to determine the weights of each index in the system. Then, the TOPSIS model and coupling coordination degree model are adopted to construct the coordinated development model for CWE. Finally, the coordinated development status of CWE in the mine area is analyzed, and the next improvement measures are pointed out. The CWE index system contains 3 dimensions, 6 aspects, and 21 indicators. Combining the weights with game theory makes the weight coefficients more concentrated, reduces the dispersion of single weights, and makes the results of the fusion weights more reliable. The TOPSIS model and coupling coordination degree model can successfully characterize the coordinated development of CWE system factors. The proximity degrees of the CWE system in the study area show an increasing trend year by year. Although the coupling degree of CWE increases slowly year by year, it exhibits little coordination, with an average value of 0.4. Economic benefits, the water resource utilization rate, and the green land area are the three indices with the greatest weights. While ensuring the economic benefits of coal mining, coal enterprises should focus on improving the water resource utilization rate. The reduction in the green land area should also be emphasized in open-pit mining. Full article

Evaluating potential (PES) and realized (RES) ecosystem services can significantly improve the clarity and understanding of sustainable natural resource management practices. This study determined spatial distribution indices and assessed the economic value of both PES and RES in Northern Thailand. The geographic distribution and intensity of 17 ecological services of six land use categories (i.e., forests, agriculture, shrubland, urban land, water bodies, and barren land) were estimated for the distribution and unit values of PES and RES, by using the Co$ting Nature Model. Our results suggested that the PES and RES values were spatially consistent. The map showing the distribution of PES and RES values revealed high values in the cities of Chiang Mai, Chiang Rai, Lamphun, Lampang, Phitsanulok, and Nakhon Sawan. Nutrient cycling, soil formation, and water supply were identified as the top potential ecological services, while nutrient cycling, water supply, and soil formation were the most realized. The ecosystem service packages in Northern Thailand had a potential annual value of 36.31 billion USD per year. However, after adjusting for relative indices, the realized ecosystem services were valued at 13.44 billion USD per year, representing only one-third of the potential value. To manage resources effectively and make informed decisions, it is essential to comprehend the gap between possible and actual ecosystem services. This research underscores the financial worth of ecosystem services and emphasizes the significance of using them sustainably to enhance human well-being and conserve the environment in Northern Thailand. Full article

BREEAM (Building Research Establishment Environmental Assessment Method) is widely recognized for promoting environmental sustainability in the built environment, with a strong focus on energy efficiency, resource management, and ecological impact. However, as sustainability entails environmental and economic dimensions but also social dimensions, the current BREEAM New Construction standards do not fully address social sustainability targets. This article explores the potential for expanding BREEAM New Construction standards to more comprehensively incorporate social sustainability, ensuring that certified projects contribute to the well-being of their occupants and surrounding communities. Through a review of existing BREEAM categories, technical manuals, standards, and an analysis of gaps related to social sustainability, this paper identifies key areas for potential improvement, including user satisfaction, protecting workers’ and human rights, legacy planning, education and skills, and emergency response planning. These gaps are mapped against existing BREEAM categories and credits, with recommendations to introduce additional credits across the categories of management, materials, energy, waste, land use and ecology, health and well-being, and water. Additionally, this paper highlights the importance of transdisciplinary collaboration—bringing together architects, urban planners, social scientists, and public health experts—to effectively address the complexity of social sustainability in building design and certification. The proposed additions to BREEAM New Construction standards, alongside recommendations for industry and policymakers, offer guidelines for the evolution of green building certifications toward a more holistic approach to sustainability. This shift ensures that future certified buildings reduce environmental impact and promote social equity, health, and community well-being simultaneously. Full article

The precipitation pattern in South Africa is unpredictable and irregularly distributed across the nine provinces. Water resources support agriculture, mining activities, and other social and economic activities in the country. Nevertheless, South Africa is a water-scarce country prompting the urgent need for revitalization to increase water availability. There are major issues with irrigation water security in South Africa’s agriculture sector. Water scarcity, exacerbated by population growth, climate change, and wasteful use, threatens smallholder farmers’ livelihoods. Smallholder farmers encounter difficulties obtaining water despite initiatives to enhance water management, such as poor infrastructure, a lack of funding, and exclusion from choices about water management. This study examines the current water security challenges faced by smallholder farmers in ensuring water security in South Africa. It emphasizes the importance of collaborative networks, inclusive water governance, and innovative irrigation technologies. The study highlights the need for programs and policies that promote cutting-edge irrigation technologies and support smallholder farmers’ participation in water management decisions. Effective solutions require a coordinated approach, involving government, NGOs, and the private sector. Addressing these challenges can improve water security, promote sustainable agricultural development, and enhance food security nationwide effectively and efficiently. Additionally, the study suggests that context-specific solutions be developed, considering the requirements and difficulties smallholder farmers face. This entails funding irrigation infrastructure, assisting and training farmers, and advancing water-saving innovations. Full article

Water resource tax can regulate water consumption through economic leveraging, enhance water conservation awareness among enterprises and society, and optimize the industrial structure, thus promoting rational water resource use and sustainable development. However, the current water resource tax reform in China is still in the pilot exploration stage, and it is unclear if it will actually increase agricultural water use efficiency. We built a multi-period double-difference model and a mediation effect model based on 2011–2022 inter-provincial panel data in order to investigate the water resource tax reform’s impact on agricultural water conservation and its trajectory. The findings demonstrate that agricultural water use efficiency has been greatly increased by the water resource tax reform, and this conclusion remains strong even after parallel trend and placebo testing. The tax reform has primarily increased agricultural water use efficiency through crop cultivation structural adjustments and water-saving technologies’ advancement. When examining inter-provincial disparities, we found a more evident policy impact in economically developed and water-scarce regions. Further results show that the water resource tax reform has significantly reduced the groundwater portion of the regional water use structure, which indicates that it has synergistically curbed groundwater exploitation and promoted regional ecological restoration. Moreover, this paper demonstrates that the policy has realized water conservation in agriculture while avoiding a negative effect on agricultural economic growth. Full article

Mountains are crucial for essential ecosystem services that are foundational to ecological restoration and conservation. The Taihang Mountains are a key water recharge zone and ecological barrier in northern China. Yet, research on the spatial heterogeneity of ecosystem service trade-offs and synergies in this region remains scarce. This study addresses this gap by examining the spatiotemporal evolution, spatial heterogeneity, and the dynamic interplay between ecosystem service trade-offs and synergies in the Taihang Mountains, employing the multidimensional analysis method of time and space. Key findings from 2005 to 2020 show a significant CNY 2.665 billion increase in overall ecosystem service value in the Taihang Mountains. Spatially, soil conservation increased in the central and eastern regions, while water supply similarly increased in the northern region. Regarding spatial autocorrelation, the spatial distribution of these services was predominantly characterized by clusters of high–high and non-significant values. Regarding the spatiotemporal differentiation of trade-offs and synergies in ecosystem services, synergies prevail, with significant spatial disparities between trade-off and synergistic areas, where trade-offs are relatively scattered. Comprehending the interactions, trade-offs, and synergies among ecosystem services is crucial for natural resource allocation in the Taihang Mountains. This understanding facilitates resolving conflicts between economic and environmental goals, promoting harmonious regional development. Full article

In the context of sustainable development, water resources, energy, and carbon emissions are pivotal factors influencing the rational planning of economic development and the secure establishment of ecological barriers. As a core food production area, how can the Great River Basin balance the pressure on the “water–energy–carbon” system (WEC) to realize the coordinated development of “nature–society–economy”? Taking the Yellow River Basin in China as the research object, this paper explores the coupling characteristics and virtual transfer trends of WEC in the agricultural sector under the condition of mutual constraints. The results show the following: (1) On the dynamic coupling characteristics, W-E and E-C are strongly coupled with each other. The optimization of water resource allocation and the development of energy-saving water use technology make the W-E consumption show a downward trend, and the large-scale promotion of agricultural mechanization makes the E-C consumption show an upward trend. (2) On the spatial distribution of transfer, there is an obvious path dependence of virtual WEC transfer, showing a trend of transfer from less developed regions to developed regions, and the coupling strength decreases from developed regions to less developed regions. The assumption of producer responsibility serves to exacerbate the problem of inter-regional development imbalances. (3) According to the cross-sectoral analysis, water resources are in the center of sectoral interaction, and controlling the upstream sector of the resource supply will indirectly affect the synergistic relationship of WEC, and controlling the downstream sector of resource consumption will indirectly affect the constraint relationship of WEC. This study provides theoretical and methodological references for the Great River Basin to cope with the resource and environmental pressure brought by global climate change and the effective allocation of inter-regional resources. Full article

The increase in demand for timber and global eucalyptus cultivation has generated controversy regarding its potential impact on water resources, especially in regions with limited water availability, with the myth that “eucalyptus dries out the soil” being spread. In this regard, this review study addresses the factors that influence water consumption by eucalyptus, providing solutions to reduce, mitigate, or even avoid any impact on water resources at a given site. In this manuscript, the authors reviewed 200 works published from 1977 to 2024 to survey all information to confirm if the factual background allows someone to state if eucalyptus can deplete soil water. With a solid scientific basis, many research studies show that eucalyptus’ water demand is comparable to that of native forest species and crops worldwide and that species, age, edaphoclimatic conditions, and forest management practices mainly influence water consumption. On the other hand, it is a hasty conclusion that some eucalyptus species can contribute to reduced soil water. Effectively, without proper management, the environmental impacts of a eucalyptus plantation are the same as those of poorly managed crops. Indeed, if cultivated with proper agroclimatic zoning and correct management practices, the growth of eucalyptus culture is an environmentally correct activity. By adopting measures such as maintaining sufficient native forest cover to ensure ecosystem services, cultivation based on zoning maps, and considering local specificities (e.g., deeper, sandier soils are preferable), selection of species appropriate to the carrying capacity of each region, adoption of lower planting densities, and reduced rotation, eucalyptus cultivation will not negatively affect water resources. Sustainable eucalyptus cultivation has several economic and environmental benefits, in addition to positive social impacts on surrounding communities in terms of employment and family income, and its sustainable management can guarantee its viability, demystifying the idea that eucalyptus trees cause water scarcity. The works reviewed herein demonstrated no solid ground to sustain the eucalyptus’ water depletion myth. Full article