Agricultural Expansion Research Articles

Development Pathways and the Political Economy of Maladaptation: The Case of Bioenergy as a Climate Strategy in Brazil

AbstractAlthough it is well known that large-scale bioenergy expansion erodes different environmental, social, and economic dimensions of sustainable development, in countries like Brazil, bioenergy is institutionalized as a flagship climate strategy aimed to cut down CO2 emissions in transport. These trade-offs have serious implications for climate change governance and sustainable development; however, conventional approaches have not yet properly explained this seeming paradox. This article addresses this gap from a critical development pathways approach to bioenergy as a maladaptive strategy in Brazil. I propose an analytical framework to observe how different ideas, interests, and institutions interplay in the historical institutionalization of bioenergy as a climate strategy. The analysis shows that bioenergy institutionalization has been driven by the endemic economic crisis in the sugar sector and governmental interests associated with security and developmental imperatives. The unsustainable co-evolution of development pathways and bioenergy, marked by deforestation, land colonization, and agricultural expansion, has narrowed the adaptation space in agriculture, gearing current climate policy towards path-dependent maladaptive strategies like bioenergy. Paradoxically, framing bioenergy as a climate strategy has been useful to justify more expansive policies in favor of the sugarcane industry, and to greenwash the Brazilian climate policy in the international arena of climate governance.

Land Use Change Impacts over the Indus Delta: A Case Study of Sindh Province, Pakistan

Land use and land cover changes (LULCCs) are vital indicators for assessing the dynamic relationship between humans and nature, particularly in diverse and evolving landscapes. This study employs remote sensing (RS) data and machine learning algorithms (MLAs) to investigate LULCC dynamics within the Indus River Delta region of Sindh, Pakistan. The focus is on tracking the trajectories of land use changes within mangrove forests and associated ecosystem services over twenty years. Our findings reveal a modest improvement in mangrove forest cover in specific areas, with an increase from 0.28% to 0.4%, alongside a slight expansion of wetland areas from 2.95% to 3.19%. However, significant increases in cropland, increasing from 22.76% to 28.14%, and built-up areas, increasing from 0.71% to 1.66%, pose risks such as altered sedimentation and runoff patterns as well as habitat degradation. Additionally, decreases in barren land from 57.10% to 52.7% and a reduction in rangeland from 16.16% to 13.92% indicate intensified land use conversion and logging activities. This study highlights the vulnerability of mangrove ecosystems in the Indus Delta to agricultural expansion, urbanization, resource exploitation, and land mismanagement. Recommendations include harmonizing developmental ambitions with ecological conservation, prioritizing integrated coastal area management, reinforcing mangrove protection measures, and implementing sustainable land use planning practices. These actions are essential for ensuring the long-term sustainability of the region’s ecosystems and human communities.

Analysis of food system drivers of deforestation highlights foreign direct investments and urbanization as threats to tropical forests

Approximately 90% of global forest cover changes between 2000 and 2018 were attributable to agricultural expansion, making food production the leading direct driver of deforestation. While previous studies have focused on the interaction between human and environmental systems, limited research has explored deforestation from a food system perspective. This study analyzes the drivers of deforestation in 40 tropical and subtropical countries (2004–2021) through the lenses of consumption/demand, production/supply and trade/distribution using Extreme Gradient Boosting (XGBoost) models. Our models explained a substantial portion of deforestation variability globally (R2 = 0.74) and in Asia (R2 = 0.81) and Latin America (R2 = 0.73). The results indicate that trade- and demand-side dynamics, specifically foreign direct investments and urban population growth, play key roles in influencing deforestation trends at these scales, suggesting that food system-based interventions could be effective in mitigating deforestation. Conversely, the model for Africa showed weaker explanatory power (R2 = 0.30), suggesting that factors beyond the food system may play a larger role in this region. Our findings highlight the importance of targeting trade- and demand-side dynamics to reduce deforestation and how interventions within the food system could synergistically contribute to achieving sustainable development goals, such as climate action, life on land and zero hunger.

Identifying priority corridors and bottlenecks for three threatened large mammal species in the oil palm-dominated landscape of Peninsular Malaysia

Agricultural landscape expansion and land development have disrupted wildlife habitats and movement pathways, limiting species’ access to critical resources. Identifying multispecies corridors across human-dominated landscapes is crucial to facilitate safe and unobstructed movement while minimizing negative interactions between humans and wildlife. We conducted a spatial distribution analysis to delineate potential high conflict areas and assess connectivity for the movement of focal species across Peninsular Malaysia. Using conflict data for the Asian elephant (Elephas maximus), Malayan sun bear (Helarctos malayanus), and Malayan tiger (Panthera tigris) spanning an eight-year period (2013–2020), we predicted conflict risk distribution with MaxEnt. We then overlaid the resulting risk maps onto a unified resistance surface and predicted least-cost corridors between high conservation value (HCV) patches. We ranked these corridors by their ecological importance in a plantation landscape. We identified pinch point areas (bottlenecks) to denote locations most critical to species movement along the corridors. Our results suggested that potential high conflict areas were primarily located in eastern and southern Peninsular Malaysia. We identified 89 HCV core patches that were interconnected by 126 linkages. The mean length of the least-cost corridors was 13.41 km. Among the top 10 linkages ranked by centrality value, three crossed commercial plantations for <30 % of their length, and three were highly bottlenecked. This study underscores an ecological approach that considers human–wildlife conflict and habitat connectivity analysis for effective land use planning and critical zone designation.

Military Agricultural Reclamation: Strategic Land-Use Change to Remake Unruly Desert Borders

This article outlines the social, political, and environmental conditions under which states engage in strategic agricultural development along desert borders and what these developments achieve for the state. We focus on how national governments employ state-led agricultural reclamation, expansion, or intensification in deserts to produce and territorialize borders and discuss how these projects fall short. We apply theories of state power and legibility to analyze three military agricultural sites on the China–Kazakhstan, Egypt–Sudan, and Israel–Egypt–Gaza borders, each of which exemplifies strategic desert borderland agricultural development. These sites have geopolitical significance due to their history of territorial disputes, potential for ethnic conflict, and access to strategically important natural resources. By drawing on commonalities between these sites, we find that these developments achieve multiple goals for states, including demarcating territorial boundaries, increasing legibility of peripheral borderlands, and demonstrating control over difficult terrains. We also outline how these projects fall short of totally remaking borderlands due to social, political, and environmental limitations.

Tree Roots and Plant Nutrition in Simultaneous Agroforestry Practices in the Humid Tropics: Implications for Guyana’s Agricultural Expansion

The unavoidable conclusion is to place agroforestry at the centre of an integrated landscape approach.

Habitat Suitability in High Andean Butterflies: The Role of Land Cover in the Occurrence and Conservation of Species.

High Andean butterflies in northern South America are subject to landscape change processes. Our study used models to assess the habitat suitability of three Satyrinae species in the Upper Bogotá River Basin, Colombia. These three species include Pedaliodes polla (Thieme), Pedaliodes phaea (Hewitson), and Pedaliodes phaeina (Staudinger), the last two are endemic to Colombia. We used MaxEnt software to assess the habitat quality of these species, analyze the bioclimatic requirements that most influence them, and propose priority conservation areas. Our results indicated that, in most cases, the contribution of cover is more significant than 60%, so this variable determines the habitat capacity to support the species under study. We identified that the areas with suitable habitats are reduced with values less than or equal to 25% and are located in areas with a medium degree of intervention, which allows the species to occur. On the other hand, the climatic variables with the most significant contribution to the models were Temperature Seasonality and Precipitation of Driest Quarter (May-July). Conservation efforts must be focused on the most suitable areas, given the reduction in habitat for these species. Our research emphasizes the need to safeguard well-connected remnants of the high Andean forest and natural cover in agricultural matrices to counter the impact of agricultural expansion.

Do voluntary sustainability standards reduce primary forest loss? A global analysis for food commodities

Agricultural expansion is the main driver of forest and biodiversity loss. As a countermeasure, Voluntary Sustainability Standards (VSS) try to enhance sustainability in agricultural production but evidence if VSS reduce deforestation at country level is lacking. We used annual certification data of seven VSS (Fairtrade, Rainforest Alliance, UTZ, 4C, Round Table on Sustainable Palm Oil (RSPO), GlobalGAP, Organic) certifying five food commodities (cocoa, coffee, tea, palm oil, banana) and data on tree cover loss in humid tropical primary forest to study the impact of VSS on primary forest loss in 67 tropical countries. Using two generalised additive models (GAMs), one with VSS separately and one with VSS coverage aggregated, we found only Fairtrade to coincide with lower tree cover loss in primary forests at country level while we observed higher tree cover loss with higher certification for UTZ, RSPO and Organic. Using spatially explicit certification data in Google Earth Engine, we did not observe an effect of VSS on tree cover loss, thereby raising doubts on the potential of VSS to govern deforestation free supply chains. Reasons for this might be, among others, certification displacing unsustainable agriculture to other regions (leakage), weak or insufficiently enforced VSS criteria, and outcomes being context specific depending on, for example, institutional factors.

Human degradation of tropical moist forests is greater than previously estimated

Tropical forest degradation from selective logging, fire and edge effects is a major driver of carbon and biodiversity loss1–3, with annual rates comparable to those of deforestation4. However, its actual extent and long-term impacts remain uncertain at global tropical scale5. Here we quantify the magnitude and persistence of multiple types of degradation on forest structure by combining satellite remote sensing data on pantropical moist forest cover changes4 with estimates of canopy height and biomass from spaceborne6 light detection and ranging (LiDAR). We estimate that forest height decreases owing to selective logging and fire by 15% and 50%, respectively, with low rates of recovery even after 20 years. Agriculture and road expansion trigger a 20% to 30% reduction in canopy height and biomass at the forest edge, with persistent effects being measurable up to 1.5 km inside the forest. Edge effects encroach on 18% (approximately 206 Mha) of the remaining tropical moist forests, an area more than 200% larger than previously estimated7. Finally, degraded forests with more than 50% canopy loss are significantly more vulnerable to subsequent deforestation. Collectively, our findings call for greater efforts to prevent degradation and protect already degraded forests to meet the conservation pledges made at recent United Nations Climate Change and Biodiversity conferences.

Barriers and opportunities to agrihood development in growing cities of the Rocky Mountain region: A comparative case study

Rapid urbanization and peri-urban development are driving land use change across the globe, result­ing in lands being converted from agricultural uses to housing development. Sustainable, multifunc­tional land use in urban and peri-urban areas is needed to balance the requirements of producing food in a way that protects environmental resources and of providing housing to a growing population. An agrihood is a planned development model that incorporates food production within a community to help address goals of nutritious food security while providing social, economic, and environmental benefits. Agrihoods may offer an alternative land use for integrating food production in new housing developments for the sustainable development of rapidly urbanizing cities. A com­parative case study, using semi-structured, qualita­tive interviews with key informants from two cities (Bozeman, Montana, and Longmont, Colorado), highlighted four key barriers to agrihood develop­ment in two cities in the Rocky Mountain region of the U.S: labor; ownership and governance struc­tures; resource availability; and land use regulation. Concerns for water and land resource availability reflect general barriers to agricultural expansion in the Rocky Mountain region, while the other identi­fied barriers reflect the structural and legal limita­tions preventing agrihood development and expan­sion. To reduce these barriers, policy interventions and incentives provided at municipal, state, and federal levels, informed by community advocates in support of local food production, will be essential.

Ethnobotanical study of medicinal plants in Sekela District, northwestern Ethiopia

BackgroundPeople in Sekela District, like others in Ethiopia, have a long tradition of using medicinal plants to treat human and livestock ailments. However, medicinal plants and their associated indigenous knowledge are currently under threat. Thus, the study was carried out to compile ethnobotanical knowledge about medicinal plants in the district. MethodsA total of 352 informants from six study sub-districts (328 general and 24 key informants) were selected randomly and purposefully. Individual interviews, focus group discussions, guided field walks, and market surveys were used to acquire ethnobotanical data using semi structured interview questions. The informant consensus factor (ICF), fidelity level, preference ranking, direct matrix ranking, medicinal use, and Analysis of Variance were used. ResultsA total of 121 medicinal plants belonging to 106 genera and 55 families were documented. The Asteraceae family had the most species with 11 (9 %), followed by Lamiaceae with 8 (6.6 %), while leaves were the most utilized part with 56 (37 %). The majority of the remedies were made as a concoction (32, 17 %) and delivered orally (98, 57 %). There was a statistically significant difference in indigenous knowledge on medicinal plants among genders, ages, marital status, educational levels, and occupations (p ˂ 0.05). The dermatological disease categories had the highest ICF (0.92) in human ailments. ConclusionThe study revealed that Sekela District is rich in medicinal plants for treating human and livestock ailments, and has indigenous knowledge to utilize these resources effectively. However, overgrazing, agricultural expansion, and improper harvesting techniques threaten medicinal plants. This signals the need to make significant efforts to raise public awareness about their conservation and sustainable use.

Rapid land cover change in agricultural valleys of the Atacama Desert, Chile

The profound landscape modification produced by agriculture is considered one of the main threats to biodiversity worldwide. Although the main ecological impacts are likely due to agricultural expansion into natural areas, changes in crop types and production intensification also induce significant ecological changes. We studied the land cover change process in four agricultural valleys (Lluta, Azapa, Vítor and Camarones) in the Atacama Desert of Chile between 2003 and 2019, divided into four equal periods. Using spatial data and logistic regression, we assessed the driving factors of land cover change. The Azapa valley showed the highest rate of land cover change, reaching 36.4% of netting and greenhouses landscape cover by the end of the study, and 50.4% annual rate of increase during the 2007–2011 period. Intensification was observed as the anti-aphid netting cover expanded mainly in Azapa and in the last four years in Vítor and Lluta valleys. Most land cover change was related to low slopes and elevation or sites closer to roads or surrounded by already cultivated land, like agriculture expansion on barren soil or native shrubland loss. High population density was significantly correlated with land cover change (p < 0.01). If land cover change into netting continues as observed, it is possible that landscape homogenization occurs in the short term in almost all valleys. Anyway, disentangling how landscape change works and the involved drivers, could be useful to understand landscape simplification in arid lands that are under an agricultural intensification process.

Human-wildlife conflict and community perceptions towards wildlife conservation in and around a biodiverse National Park, northern Ethiopia

Crop raiding and livestock predation significantly influence the perception of the local community regarding wildlife conservation. The primary aim of this study was to evaluate the scope, characteristics and origin of human-wildlife conflict, as well as the local community’s attitudes towards wildlife conservation within the vicinity of Kafta-Sheraro National Park, northern Ethiopia. The study was conducted in 2020 between April and October. A multi-stage sampling design was adopted to select 260 households to examine respondents' opinions on the extent and underlying cause of human-wildlife conflict, communities' perception towards wildlife conservation, the damage that wild animal species cause and traditional human-wildlife conflict mitigation measures applied. Our results showed that the spotted hyena (Crocuta crocuta), leopard (Panthera pardus) and African elephant (Loxodonta africana) were the top three species involved in conflicts as reported by the respondents. Both livestock depredation and crop raiding were the most serious human-wildlife conflict types in and around Kafta-Sheraro National Park. About 48 % of the respondents confirmed that illegal subsistence farming expansion and prohibited grazing were the main causes of human-wildlife conflict. The results of the multiple linear regression model indicated that education and the distance of villages to the park boundary are significant predictors of local community perceptions towards wildlife conservation. In the study area, the perception of the local community is greatly influenced by the benefit received from the park. To alleviate human-wildlife conflicts in and around Kafta-Sheraro National Park, residents used a combination of lethal and non-lethal mitigation measures. Therefore, environmental conservation education and managing the human-wildlife conflict are needed to improve the local community’s perception towards wildlife conservation and to design wildlife conservation strategies in Kafta-Sheraro National Park.

Deforestation drivers in northern Morocco: an exploratory spatial data analysis

Formulating effective policies to address or mitigate deforestation requires a comprehensive understanding of the contributing factors. This study examines the drivers of deforestation from 2001 to 2020 in the Tangier-Tetouan-Al Hoceima (TTA) region, a northern Moroccan area distinguished by the country’s highest deforestation rate. Through an extensive review of existing literature and employing Geist and Lambin’s deforestation framework, we identified five key causes: infrastructure extension, agricultural expansion, logging, wildfires as direct causes, and demographic factors as an indirect cause. Data on deforestation and its contributing factors were sourced from diverse databases, including Global Forest Change (GFC), Global Land Analysis and Discovery (GLAD), Burned Area Product (MODIS Fire_CCI51), World Population, Forest Proximate People (FPP), and National Forest Inventory (NFI) datasets. Pixel-level analysis of GFC data indicated that wildfires are the primary driver of deforestation in the region, accounting for 35.2%, followed by agricultural expansion (30.6%), logging (13.2%), and infrastructure extension (10.1%). The remaining 10.9% of losses were attributed to other disturbances, such as illegal extraction, pests, and dieback. Spatial patterns were further analyzed through Exploratory Spatial Data Analysis (ESDA) methods at a 1 km2 gridded scale, revealing strong clustering for all studied factors. Spatial relationships were explored using the bivariate local Moran’s index, which highlighted the highest spatial dependence between deforestation and fires (I = 0.21). Correlations between deforestation and other factors, including agricultural expansion, logging, infrastructure extension, and demographic pressure, were assessed at 0.18, 0.17, 0.08, and 0.05, respectively. Landscape pressures (LSP), encompassing deforestation, agricultural expansion, fires, infrastructure extension, and demographic pressure, were analyzed using the local Geary index, revealing a positive correlation in approximately 59% of spatial units. Last, a composite map of LSP clusters and an explanatory diagram illustrating dominant patterns in the TTA region were generated based on the results from local Geary’s multivariate and local Moran’s univariate tests.

Modeling and analysis of temporal dynamics in groundwater aquifers of New Valley Oases, Egypt

Water scarcity poses a significant challenge in arid and semi-arid regions, necessitating a focused exploration of groundwater resources. Egypt, confronted with various water challenges, particularly in its Western Desert, relies heavily on groundwater as the exclusive water source due to the presence of the Nubian Sandstone aquifer. Effective groundwater management in this region is imperative. This study delves into the hydrogeological characteristics of the Nubian Sandstone aquifer system (NSAS) in the prominent New Valley Oases—Kharga, Dakhla, and Farafra—where agricultural activities heavily depend on groundwater. The primary objective entails a meticulous temporal assessment of the impact of groundwater development on aquifer behavior, groundwater levels, and drawdown. Employing a remote sensing approach, agricultural expansion from 1995 to 2020 was scrutinized. The Visual MODFLOW package served as a robust tool for simulating groundwater flow in the study areas. Noteworthy findings reveal an upward trajectory in agricultural crop areas, escalating by approximately 6% from 1740 km² in 1995 to 1850 km² in 2020. Concurrently, drawdown, influenced by current groundwater extraction, is anticipated to range from 0.5 to 5 meters per year. To ensure the sustainable development of these areas, stringent regulations must be implemented, underscoring the imperative for judicious groundwater management practices. This research underscores the critical need for informed decision-making and proactive measures to address the evolving dynamics of groundwater resources in the New Valley Oases.

Assessing forest fragmentation due to land use changes from 1992 to 2023: A spatio-temporal analysis using remote sensing data

The increasing pressures of urban development and agricultural expansion have significant implications for land use and land cover (LULC) dynamics, particularly in ecologically sensitive regions like the Murree and Kotli Sattian tehsils of the Rawalpindi district in Pakistan. This study's primary objective is to assess spatial variations within each LULC category over three decades (1992–2023) using cross-tabulation in ArcGIS to identify changes in LULC and investigates into forest fragmentation analysis using the Landscape Fragmentation Tool (LFTv2.0) to classify forest into several classes such as patch, edge, perforated, small core, medium core, and large core. Utilizing remote sensing data from Landsat 5 and Landsat 9 satellites, the research focuses on the temporal dynamics in various land classes including Coniferous Forest (CF), Evergreen Forest (EF), Arable Land (AR), Buildup Area (BU), Barren Land (BA), Water (WA), and Grassland (GL). The Support Vector Machine (SVM) classifier and ArcGIS software were employed for image processing and classification, ensuring accuracy in categorizing different land types. Our results indicate a notable reduction in forested areas, with Coniferous Forest (CF) decreasing from 363.9 km2, constituting 45.0 % of the area in 1992, to 291.5 km2 (36.0 %) in 2023, representing a total decrease of 72.4 km2. Similarly, Evergreen Forests have also seen a significant reduction, from 177.9 km2 (22.0 %) in 1992 to 99.8 km2 (12.3 %) in 2023, a decrease of 78.1 km2. The study investigates into forest fragmentation analysis using the Landscape Fragmentation Tool (LFTv2.0), revealing an increase in fragmentation and a decrease in large core forests from 20.3 % of the total area in 1992 to 7.2 % in 2023. Additionally, the patch forest area increased from 2.4 % in 1992 to 5.9 % in 2023, indicating significant fragmentation. Transition matrices and a Sankey diagram illustrate the transitions between different LULC classes, providing a comprehensive view of the dynamics of land-use changes and their implications for ecosystem services. These findings highlight the critical need for robust conservation strategies and effective land management practices. The study contributes to the understanding of LULC dynamics and forest fragmentation in the Himalayan region of Pakistan, offering insights essential for future land management and policymaking in the face of rapid environmental changes.

Achieving fairness in the food system

AbstractThe challenge of feeding an additional 2 billion people by 2050 is one of the most pressing issues of our generation. The required changes in the current food system must be achieved while reducing the negative environmental impacts of current farming practices on our climate and biodiversity and avoiding deforestation. This formidable challenge must be overcome in a projected climate that is more variable and where extreme weather events are increasingly common. While the green revolution, agricultural land expansion and agrotechnological innovations have significantly increased crop productivity over the last 50 years, the gains in the yields of most major crops have reached a plateau. Moreover, global hunger remains at a record high. Climate change‐associated changes in weather patterns have decreased the yields of major crops. Further land expansion is impossible without severe trade‐offs with biodiversity and climate change mitigation. Wars and pandemics are currently severely disrupting the global agri‐food system, increasing prices and exacerbating food insecurity, with the world's poorest suffering the most. The climate change–social instability nexus will continue to cause additional stress to the agri‐food system. Here, we consider the inequities in the current food system, highlighting the weak interconnection among research, policy and societal action that is hindering mitigation and adaptation efforts. We argue that improved interconnections among research, policy, governance and societal action will unlock the potential to achieve food security while supporting climate change mitigation targets. Our analysis includes specific strategies such as strengthening small‐scale farmers, promoting fair trade practices and reducing food waste to achieve these goals.

An agent-based model of agricultural land expansion in the mountain forest of Timor Island, Indonesia

An agent-based model of agricultural land expansion in the mountain forest of Timor Island, Indonesia

Chapter 3. Cultivating problems and politics: Precarious fields and the social history of the Medieval Deccan, southern India

AbstractThis paper assesses the shifting locations and social significance of agricultural spaces through analyses of intensive pedestrian survey results, multi‐spectral remote sensing data, and Medieval Period inscriptional records around the site of Maski (Raichur District, Karnataka). In doing so, it challenges a longstanding historiographical trope about the social history and essential “fertility” of the Raichur Doab, a region of the central Deccan of southern India that was ostensibly contested for its rich agricultural resources by numerous imperial polities throughout the Medieval and Early Modern Periods. The results suggest that cultivation was extended into the region's more marginal production environments between the 11th and 14th centuries. Moreover, the process of agricultural expansion appears to have partly contributed to fomenting social concerns about the effects of temple patronage as many of the region's underclass farmers faced multiple modes of precarity, including those engendered by new labor and cultivation conditions in the semi‐arid Deccan. In that sense, the paper also expands on contemporary notions of precarity and highlights the significance of a variety of ways through which conditions of precarity might emerge in other historical contexts.

Managing Transboundary Water Resources At the Edge of Human Interface: A Case of Kagera River Basin, Tanzania

Globally, water concerns stemming from human factors are evident, and the Kagera River Basin exemplifies this challenge. This study investigated the influence of human elements on transboundary water resource management in the Kagera River Basin. Utilizing focus group discussions, household surveys, key informant interviews, and field observations, the study analysed land use changes via remote sensing; and processed quantitative data using SPSS 20 and ArcGIS 10.4. Results highlighted economic, political, and social factors as key factors influencing transboundary water resource management. The institutional analysis identified major players to include the Ministry of Water, Lake Victoria Basin Water Board, NELSAP, Ministry of Agriculture, village governments, and CONCERN/OXFAM. Non-climatic factors such as water infrastructure management, socio-economic factors, conflicting water uses, agricultural practices causing soil erosion, and land use/cover changes were identified as central to transboundary water resource challenges. Agricultural expansion and land use shifts in the basin in 1986, 2000 and 2021 were pinpointed as contributors to water resource challenges, impacting availability, access, and quality. Anthropogenic-driven land use changes emerged as significant contributors to pollution, habitat loss, and alterations in water quality. While human factors substantially influence water resources, their impact is exacerbated by anthropogenic activities. Thus, fostering collaborative planning and stewardship initiatives at the local level is crucial for sustaining transboundary water resources. This involves engaging community members and leaders in developing resilience plans and initiating international cooperation, and innovative participatory approaches for effective transboundary water resources management.