Land Use Management Research Articles

Evaluating the impacts of climate change and land-use change on future droughts in northeast Thailand

The impacts of climate change (CC) on droughts are well documented, but the effects of land-use change (LUC) are poorly understood. This study compares the projected individual and combined impacts of these stressors on future droughts (2021–2050), with respect to baseline (1981–2010) in one of the major tributaries of the Mekong River. LUC impacts on hydrological droughts are minimal compared to CC, with the latter expected to shorten the recurrence interval of a 20-year return period event to every 14 years. Both CC and LUC have significant impacts on agricultural droughts with heightened sensitivity. ‘Once in a Decade’ agricultural droughts will be 40% (35%) longer and 88% (87%) more severe under the CC (LUC) scenario. Under both stressors, the events occurring every 20 years will be twice as frequent. Results highlight the intensification of future droughts and the urgency for actions to mitigate/adapt to climate change and manage land use. Future policy shall holistically address agricultural water management, sustainable land use management, and crop management to cope with future droughts. We recommend developing resilient agricultural practices, enhanced water resource management strategies, and incorporating drought risk into land-use planning to mitigate the compounded impacts of CC and LUC.

Stream macroinvertebrate communities in restored and impacted catchments respond differently to climate, land-use, and runoff over a decade

Identifying which environmental drivers underlie degradation and improvements of ecological communities is a fundamental goal of ecology. Achieving this goal is a challenge due to diverse trends in both environmental conditions and ecological communities across regions, and it is constrained by the lack of long-term parallel monitoring of environmental and community data needed to study causal relationships. Here, we identify key environmental drivers using a high-resolution environmental - ecological dataset, an ensemble of the Soil and Water Assessment Tool (SWAT+) model, and ecological models to investigate effects of climate, land-use, and runoff on the decadal trend (2012−2021) of stream macroinvertebrate communities in a restored urban catchment and an impacted catchment with mixed land-uses in Germany. The decadal trends showed decreased precipitation, increased temperature, and reduced anthropogenic land-uses, which led to opposing runoff trends – with decreased runoff in the restored catchment and increased runoff in the impacted catchment. The two catchments also varied in decadal trends of taxonomic and trait composition and metrics. The most significant improvements over time were recorded in communities of the restored catchment sites, which have become wastewater free since 2007 to 2009. Within the restored catchment sites, community metric trends were primarily explained by land-use and evaporation trends, while community composition trends were mostly associated with precipitation and runoff trends. Meanwhile, the communities in the impacted catchment did not undergo significant changes between 2012 and 2021, likely influenced by the effects of prolonged droughts following floods after 2018. The results of our study confirm the significance of restoration and land-use management in fostering long-term improvements in stream communities, while climate change remains a prodigious threat. The coupling of long-term biodiversity monitoring with concurrent sampling of relevant environmental drivers is critical for preventative and restorative management in ecology.

Leveraging Reed Bed Burnings as Indicators of Wetland Conversion in Modern Greece

This study explores the historical occurrence of wetland ecosystems in Greece by using recurring Phragmites australis (common reed) burnings as an indicator. Phragmites australis, a plant closely associated with wetlands, provides excellent insights into wetland distribution. We establish a substantial association between reed fires and historical wetland existence in Greece using geographical and statistical analysis, with these fires exhibiting remarkable constancy across time. Using Corine land-cover (CLC) data, we extend our analysis into land-use dynamics, demonstrating that places with the highest reed-bed-fire rates were originally wetlands, particularly those converted into permanent irrigated land and areas with complex agriculture patterns. We find spatial commonalities between reed fires and past wetland existence by analyzing fire occurrence across three main categories: reed fires, agricultural land fires, and grassland fires. Historical records of wetland conversion into agricultural land (or land reclamation works) in locations such as Yianitsa and Kopaida give context to our findings. Visualizations confirm the clustering of reed fires around these converted agricultural regions. In summary, our study offers a unique indicator based on Phragmites australis burnings that can be used to identify previous wetland-type ecosystems, with Mediterranean-wide implications. Despite data constraints, this study adds to the conversation about wetland preservation and sustainable land-use management.

Carbon Sequestration Dynamics in Peri-Urban Forests: Comparing Secondary Succession and Mature Stands under Varied Forest Management Practices

This study examines the impact of silvicultural and land-use management practices on carbon sequestration in peri-urban forest ecosystems, with a particular focus on human-induced carbon dynamics. The study area’s complex profile spans from a compact native forest to varying degrees of fragmentation. This included areas undergoing secondary succession forest without silvicultural interventions (No-SI) alongside sites subjected to high-intensity (High-SI) and low-intensity silvicultural interventions (Low-SI). The research assessed carbon stocks and sequestration in different carbon pools (living biomass, dead organic matter and soil) using field data, allometric equations and laboratory analysis. Findings reveal a significant correlation between the intensity of anthropogenic interventions and variations in carbon stocks. The CASMOFOR model facilitated the reconstruction of carbon stock and carbon-stock change dynamics over four decades (1980–2022), showing disparities in carbon storage capabilities linked to the structural characteristics of the sites. The Low-SI site had the highest carbon stock in all carbon pools (378 tonnes C ha−1), which is more than double compared to High-SI (161 tonnes C ha−1) or No-SI sites (134 tonnes C ha−1). However, the secondary succession forest (No-SI) demonstrated the highest annual carbon stock change (4.4 tonnes C ha−1 year−1), two times higher than the Low-SI mature stand (2.2 tonnes C ha−1 year−1), emphasising the resilience of forest ecosystems to recover and sustain carbon sequestration capacities after harvesting if forest land use remains unchanged. The study underscores the significant importance of anthropogenic interventions on carbon dynamics, especially for living tree biomass, which has consequences in enhancing carbon sequestration and contributing to emission reduction targets.

Land Use Modeling Scenarios using Spatial Dynamic Model in Badung Regency

Management of land use is necessary to maintain the balance between human needs and environmental aspects. Known as the highest-income region in Indonesia, Badung Regency has substantial demand for land utilization for tourism activities. The conversion of productive agricultural land to tourism areas would threaten the sustainability of natural ecosystems in Badung. This study aims to predict the future land use in Badung Regency in 2033 through two development scenarios, Bussiness As Usual (BAU) and Rapid Economic Growth (REG). The simulation was carried out using spatial dynamic models of cellular automata. Several satellite imageries, municipal data, field surveys, and influencing factors of land transition have been utilized as input for the model. The result indicates that the residential area dominated the development in the BAU scenario with the direction of residential development spreading to the south, and new tourism development portrayed in the north close to the agricultural area. While in the REG scenario, tourism land use had significant growth that does not only approach agricultural land but also protected forest areas in the north. The model accuracy showed moderate agreement according to the Kappa index both in BAU and REG scenarios. The finding of this study could support the decision maker to create a better policy considering the potential impact of land use growth direction.

Cultivating Wellbeing: Traditional Wisdom and Sustainability in Fiji’s Green Schools

This method abstract details the Green School Program, piloted across three schools in maritime Fijian islands, addresses critical issues faced by Fijian and Pacific Island communities. These encompass malnutrition, food security, health hazards, and the urgency of integrating traditional knowledge, governance, and social-ecological systems approaches into creating healthier school environments. Non communicable diseases have emerged as a pervasive concern within Pacific Island communities, creating a challenge for public health systems, driven greatly by dietary habits(1). This complex health landscape underscores the need to safeguard traditional knowledge and agri-food practices and develop neo-traditional approaches to local food systems(2). Furthermore, the Green School Program recognizes the essential role of schools as community hubs, enabling enhancing heathy school environments by embracing traditional wisdom and sustainable farming practices and foods, ultimately empowering communities to address these multifaceted challenges(3). Developing the school environment as a sustainable setting for governance framework led by women and the school administration, rooted in traditional knowledge and practices. Additionally, it aims to design facilities that support efficient organic farming while integrating these into school activities. Economic sustainability through the sale of surplus farm products, as well as the enhancement of sustainable land-use management, health, wellbeing, and cultural identity. The program unfolds within a distinctive community-based framework with the establishment of robust governance, with a notable emphasis on the leadership of women and mothers who play a pivotal role in steering the green school initiative and ensuring community ownership. Collaborative governance spans multiple stakeholders, including school management, community-based school committees, youth groups, women groups, and traditional leaders. This inclusive engagement ensures both shared responsibility in program design and ownership during implementation phases. Sustainable facilities are strategically designed to include biodigesters, water storage and irrigation systems, composting, organic fertilizers, and seedling nurseries, enhancing the program’s capacity to create healthier school food environments while embracing traditional practices and values. The program has witnessed the active engagement of women in governance roles, promoting community unity and ownership. Traditional knowledge integration has enhanced crop diversity and sustainability. Economic sustainability has been achieved through surplus farm product sales, reducing dependency on external funding sources. Health improvements are evident, with reduced exposure to indoor air pollution from open fires. Cultural identity preservation and increased student engagement are also notable outcomes. The Green School Program’s holistic approach, rooted in traditional knowledge and sustainable practices, has yielded positive outcomes in governance, agriculture, nutritional food security, health, and cultural identity preservation. The program’s success demonstrates the potential for community-based initiatives to address critical issues and empower remote island communities. These results provide valuable insights into sustainable development approaches that prioritize community wellbeing and cultural heritage preservation in similar contexts.

Integrating spatial-temporal soundscape mapping with landscape indicators for effective conservation management and planning of a protected area

Protected areas (PAs) possess generous biodiversity, making them great potential for human and wildlife well-being. Nevertheless, rising anthropogenic sounds may pose a serious challenge and threat to the habitats. Therefore, understanding the acoustic environments of PAs and implementing proper conservation strategies are essential for maintaining species richness within the territory. In this study, we investigate the spatial-temporal variations of soundscape distribution in the Dashanbao Protected Area (DPA) of China, ultimately discussing the planning and management strategies. Firstly, to systematically analyse the spatial-temporal soundscape distribution of the reserve, we generated single and multi-acoustic source maps by classifying geographical, biological, and anthropogenic sounds. In the region, we installed 35 recording points and collected sounds using the synchronic recording method. Secondly, we conducted Spearman correlation analyses to examine the relationships between the sound sources and i) temporal variations, ii) landscape feature indicators. Thirdly, we identified the dominant sound sources in the region and their conflict areas through the cross-analysis module of Grass Geographic Information Systems (GIS). Finally, we provided sound control strategies by discussing landscape indicators and land-use management policies. The results show that even though there is conservation planning in the DPA, anthropogenic sounds dominate in certain parts of the reserve depending on diurnal and seasonal cycles. This reveals deficiencies in the DPA's current planning concerning the soundscape and highlights the effectiveness of spatial-temporal mapping. Additionally, our correlation analyses demonstrate that landscape feature indicators can represent how sound environment is affected by landscape. The patch diversity (PD), landscape shape index (LSI), Shannon's Diversity Index (SHDI), woodland, shrubland, and water distance (WD) were identified as the primary predictors for both biological and anthropogenic sounds. None of the indicators exhibited a significant positive or negative correlation with geological sounds. Consequently, to enhance and conserve the acoustic quality of the region, spatial-temporal mapping with landscape indicators can be employed in the management and planning processes.

A Study of the Influence of the Type of Land Use on the Enzymatic Activity of Soils in Southwestern China

Although soil enzyme activity can act as an effective indicator of soil nutrient status, there is some uncertainty about its accuracy within soil depth across different land uses. To assess the effects of different land uses on the interactions between soil enzyme activity and nutrient status within different soil horizons, in this study we examined soil total carbon (C), nitrogen (N), and phosphorus (P) concentrations, pH, and the activities of five hydrolytic (i.e., amylase, invertase, cellulase, acid phosphatase, and urease) and three oxidative enzymes (i.e., catalase, dehydrogenase, and phenol oxidase) involved in C, N, and P acquisition and evaluated their interactions within the topsoil (0–10 cm), subsoil (10–20 cm), and deeper soil layer (20–30 cm) under various land uses (i.e., rice field, cultivated land, bamboo plantation, forest land, and barren land). We found that the levels of hydrolytic enzyme activities and nutrient concentrations were higher in the topsoil than the deeper layer. The hydrolytic enzyme activities were positive correlated with soil C, N, and P concentrations, while the activities of oxidative enzymes showed strong associations with soil pH. Furthermore, the results of fuzzy comprehensive evaluation models suggest that the overall enzyme activity can serve as an indicator of soil nutrient status in the topsoil and subsoil, but not in the deeper layer. The depth-specific nature of soil enzyme–nutrient relationships may be attributed to different land-use management practices. Our study highlights the complex interactions between soil nutrients, pH, and enzyme activities within soil profiles, and soil enzyme activity as an indicator of soil nutrient status is depth-dependent across the different land uses. The specific functional groups of enzymes and the gradients of resources and environmental conditions within the soil profile that is partly mediated by land use play crucial roles in shaping these relationships. Our results can also provide some new insights into sustainable soil management practices under the background of intense anthropogenic activities and global change.

Assessing the performance of wind erosion prediction models of RWEQ and SWEEP by direct measurements in an arid region

Wind erosion field studies allow researchers to conduct simulations under natural conditions, thus play a significant role in investigating wind erosion processes. Direct measurements are also used to validate and improve existing erosion models. There is a need to develop sustainable land-use practices and management strategies and to assess potential current and future trends of wind erosion risk in arid and semi-arid regions. This study assessed wind erosion-induced soil losses in 11 different wind cases encountered within the wheat-fallow production system in a semi-arid region of Türkiye between 2017 and 2020 to eliminate the wind erosion threats on soil resources. Direct measurements and two estimation models (RWEQ and SWEEP) were employed to assess soil loss. Grid sampling method and BEST® sediment traps were utilized to measure wind-blown soil in the field directly. Present findings revealed that wind erosion threatened both plots in different seasons. The wheat-cultivated plot was highly susceptible to wind erosion in autumn when winter cereals are sown, while the fallow plot showed susceptibility in spring. Throughout the entire measurement period (3-years), wind erosion-induced soil transportation was measured as 1383 kg ha−1 for fallow plots and 2548 kg ha−1 for wheat-cultivated plots. Model performance was assessed through correlations (r), root mean square error (RMSE) and d-test results. The results demonstrated that the calibrated RWEQ (RWEQcal) model provided reasonably accurate estimates of wind erosion for both fallow and wheat-cultivated lands, with relatively low RMSE values of 0.34 and 0.46, d-test values of 0.26 and 0.27, and correlation coefficients of 0.69 and 0.85, respectively. Model results highlighted the importance of model calibration for local conditions; otherwise, they may produce underestimated and overestimated results.

Sustainable and Resilient Land Use Planning: A Multi-Objective Optimization Approach

Land use allocation (LUA) is of prime importance for the development of urban sustainability and resilience. Since the process of planning and managing land use requires balancing different conflicting social, economic, and environmental factors, it has become a complex and significant issue in urban planning worldwide. LUA is usually regarded as a spatial multi-objective optimization (MOO) problem in previous studies. In this paper, we develop an MOO approach for tackling the LUA problem, in which maximum economy, minimum carbon emissions, maximum accessibility, maximum integration, and maximum compactness are formulated as optimal objectives. To solve the MOO problem, an improved non-dominated sorting genetic algorithm III (NSGA-III) is proposed in terms of mutation and crossover operations by preserving the constraints on the sizes for each land use type. The proposed approach was applied to KaMavota district, Maputo City, Mozambique, to generate a proper land use plan. The results showed that the improved NSGA-III yielded better performance than the standard NSGA-III. The optimal solutions produced by the MOO approach provide good trade-offs between the conflicting objectives. This research is beneficial for policymakers and city planners by providing alternative land use allocation plans for urban sustainability and resilience.

Estimation of Demand for Urban Land Uses: A Case Study of Türkiye

Land use change can have adverse impact on society and environment and therefore this puts enormous pressure on governments. Accurate estimates of future urban expansion are essential for sustainable growth and the preservation of the environment. This article examines the land use changes for urban uses, and further applies different methods for the projection of residential and industrial/commercial land uses in the selected case study area i.e. NUTS3 (nomenclature of terrestrial units for statistics) regions of Turkey. Density measures, trend extrapolation and regression analysis are the subject statistical methods used for projecting the land use. The findings show that using the chosen methodologies to project past changes leads in significant uncertainty. The results are significantly influenced by the variation in selected variables, and spatial organization of the study region. Therefore, validation analysis as a future research focus will be essential to select the most appropriate model that can be used to project the land use changes in Turkey. The results from the current analysis can be adopted by the government and local authorities for the land management and sustainable growth of urban land use in the Turkish regional context.

Assessment of land use land cover change and its effects using artificial neural network-based cellular automation

The challenge of urban growth and land use land cover (LULC) change is particularly critical in developing countries. The use of remote sensing and GIS has helped to generate LULC thematic maps, which have proven immensely valuable in resource and land-use management, facilitating sustainable development by balancing developmental interests and conservation measures. The research utilized socio-economic and spatial variables such as slope, elevation, distance from streams, distance from roads, distance from built-up areas, and distance from the center of town to determine their impact on the LULC of 2016 and 2019. The research integrates Artificial Neural Network with Cellular Automta to forecast and establish potential land use changes for the years 2025 and 2040. Comparison between the predicted and actual LULC maps of 2022 indicates high agreement with kappa hat of 0.77 and a percentage of correctness of 86.83%. The study indicates that the built-up area will increase by 8.37 km2 by 2040, resulting in a reduction of 7.08 km2 and 1.16 km2 in protected and agricultural areas, respectively. These findings will assist urban planners and lawmakers to adopt management and conservation strategies that balance urban expansion and conservation of natural resources leading to the sustainable development of the cities.

Farmer differentiation and cultivated use system resilience from a perceptive behavioral perspective: influencing mechanisms and governance strategies

IntroductionThe adaptive management strategy of the cultivated land use system is crucial for achieving sustainable development, particularly when viewed from the perspective of perceptual behavior. This study integrated farmers’ behavior, perceptions, and willingness into the resilience evaluation index system of the cultivated land use system.MethodsBy resilience calculation method of cultivated land use system and linear regression method, it also explored the effect of farmer differentiation on the resilience of cultivated land use systems under the influence of socioeconomic systems, thereby providing a scientific reference for the adaptive management of cultivated land use systems.ResultsThe key findings are as follows: First, in general, the production resilience of the peasant household cultivated land use system was low, with significant resilience differentiation of resource elements and stratification of ecological and scale structures. However, the total resilience remained relatively stable. Second, farmers’ cultivated land use systems exhibit uneven resilience, with a lack of production and ecological protection, indicating low efficiency and weak functioning of the cultivated land use system. Third, farmers’ differentiation into non-agricultural employment is high, with low dependence on land. The resilience of the cultivated land use system varies significantly among different types of farmers, with imbalance and production deficiency being the main types of resilience in the farmland use system. Fourth, the economic differentiation of farmers and the differentiation of cultivated land use negatively affected the resilience of the cultivated land use system; the more pronounced the differentiation, the lower the resilience.DiscussionBased on these findings, the primary management strategies to enhance the resilience and adaptability of the cultivated land use system include improving the production resilience of the system, increasing the enthusiasm of different types of farmers to invest in the resource elements of the cultivated land use system, promoting the transformation of ecological protection consciousness and behavior among various types of farmers, and improving the willingness for cultivated land transfer.

Economic efficiency of using internal land management on the basis of agroindustrial enterprises

The relevance of this study lies in the specific context of the country, where the state plays a crucial role in the development and management of the agricultural sector. With the increasing development of agroindustrial complexes and the need for efficient use of agricultural land, the state has a primary responsibility to ensure optimal utilization of these resources. The purpose of the study is to investigate and compare models of intrafarm land use on the basis of agroindustrial complexes both in the territory of the Republic of Kazakhstan and in the United States as well as in countries of Asia and the European Union. In the furtherance of this goal, the following methods were used: literature review, SWOT analysis, data analysis, case studies and comparative analysis to examine the land use management (LUM) system in Kazakhstan. Specifically, to identify indicators of the economic efficiency of intrafarm land management, the criterion of national economic efficiency was used by comparing costs and benefits in the adoption of various decisions. The study analysed the operation of the land management mechanism in Kazakhstan and proposed innovative solutions on the basis of successful examples from other countries. The manuscript's contribution to the academic dialogue on sustainable land use can provide valuable information and insights for policymakers and scholars interested in improving land management practices.

Land-use affects pollinator-specific resource availability and pollinator foraging behaviour.

Land-use management is a key factor causing pollinator declines in agricultural grasslands. This decline can not only be directly driven by land-use (e.g., habitat loss) but also be indirectly mediated through a reduction in floral resource abundance and diversity, which might in turn affect pollinator health and foraging. We conducted surveys of the abundance of flowering plant species and behavioural observations of two common generalist pollinator species, namely the bumblebee Bombus lapidarius and the syrphid fly Episyrphus balteatus, in managed grasslands of variable land-use intensity (LUI) to investigate whether land-use affects (1) resource availability of the pollinators, (2) their host plant selection and (3) pollinator foraging behaviour. We have found that the floral composition of plant species that were used as resource by the investigated pollinator species depends on land-use intensity and practices such as mowing or grazing. We have also found that bumblebees, but not syrphid flies, visit different plants depending on LUI or management type. Furthermore, LUI indirectly changed pollinator behaviour via a reduction in plot-level flower diversity and abundance. For example, bumblebees show longer flight durations with decreasing flower cover indicating higher energy expenditure when foraging on land-use intensive plots. Syrphid flies were generally less affected by local land use, showing how different pollinator groups can differently react to land-use change. Overall, we show that land-use can change resource composition, abundance and diversity for pollinators, which can in turn affect pollinator foraging behaviour and potentially contribute to pollinator decline in agricultural grasslands.

Research on cultural diversity and sustainable land-use management assessment model

This study quantitatively evaluated the role of cultural diversity and psychological awareness in sustainable land-use management (SLUM). Firstly, an assessment model based on fuzzy analytic hierarchy process is established by combining fuzzy logic, expert knowledge and analytic hier-archy process. The model addresses the uncertainty of qualitative assessment and adapts to dy-namic environments and complex human behavior. The research process included a literature review and expert consultation to identify key factors influencing land use and assign weights to these factors through FAHP. Subsequently, FAHP determined that cultural diversity had the highest weight among all considerations, indicating the urgent need to respect and integrate local cultural diversity in land management. Psychological awareness follows closely, suggesting that land-use decisions are profoundly influenced not only by tangible economic and environmental conditions, but also by the psychological states, knowledge levels, value systems, and social perceptions of groups and individuals. These findings highlight the need to consider and integrate these intangible factors when developing land management strategies. This approach fosters broad social acceptance and participation, ultimately moving towards the long-term goal of sustainable land use. Finally, the study provides decision-makers with a tool for identifying subtle differences at the cultural and psychological levels that can help develop more nuanced and personalized management options for different land use strategies.

Identifying major phases in the use of land, energy and changing landscapes by agrarian societies (7,000 cal BP-Present) in Cantabrian Spain, based on cultural changes and anthropogenic signals

IntroductionEnacting transitions toward more sustainable management and use of land, energy, and natural resources poses multiple challenges for human societies. Such transitions have been a constant throughout human history and therefore there is a need to learn from them and apply that knowledge to current land-use policies and management. Significant human impact on landscape and environment in Cantabrian Spain has been documented in alignment with the Neolithization (ca. 7,000 cal BP). While the classic approach of identifying cultural phases based on historical and archaeological data has been extensively studied, much less is understood on how such phases are dependent upon increasing anthropogenic influence on the environment.MethodsCantabrian Spain is well-known for its long mining history. Key processes historically shaping landscapes in the region include the implementation of mining/metallurgy industries and extraction of forest resources. These historical processes were characterized, respectively using heavy metal pollution contents (Hg, Zn, Cd, As, Ni, REE, Pb, and 206 Pb/207 Pb) and total arboreal pollen percentages in peat bogs, providing global trends of human impact on the environment. These trends were then compared to climate (temperature and precipitation) and natural vegetation evolution modeling through time.ResultsResults show seven phases of major human impact on the environment: (1) the Copper phase ca. 4,400–4,100 cal BP, (2) the Middle Bronze phase ca. 3,500–3,150 cal BP, (3) the Iron phase ca. 2,800–2,500 cal BP, (4) the Roman phase ca. 2,200–1,750 cal BP, (5) the Medieval phase ca. 1,250–1,000 cal BP, (6) the Colonial phase ca. 650–400 cal BP, and (7) the Industrial phase ca. 150 cal BP-Present.DiscussionFour phases are tightly related to substantial changes in land use and subsistence strategies: (1) Production, with the appearance of productive economies during the Neolithic, (2) Specialization, with the appearance of specialized activities and trade during the Middle Bronze phase, (3) Urbanization, with the first urban centers during the Roman phase, and (4) Globalization, with worldwide colonialism and capitalism economies during the Colonial phase.

Agricultural drought assessment in dry zones of Tolima, Colombia, using an approach based on water balance and vegetation water stress

Soil water balance is an essential element to consider for the management of droughts and agricultural land use. It is important to evaluate the water consumption of a crop in each of its phenological phases and the status of water reserves during critical hydrologic periods. This study developed an agricultural drought index (Standardized Soil Moisture Deficit Index - SMODI) conceptualized with a water balance model considering the vegetation stress caused by soil moisture deficit. This contribution was based on meteorological information, soil moisture from satellite images, hydrophysical properties of the soil and crop evapotranspiration. Information from 61 weather stations located in the dry zone of Tolima was used for estimating the water balance. SMODI was compared with the most common drought indexes: Standardized Precipitation - Evapotranspiration Index (SPEI), the Palmer Self-Calibrated Drought Index (scPDSI), and other eleven macroclimatic indexes. Pearson's correlation coefficients (r), Tukey's test, and analysis of variance were applied to analyze the degree of association between SMODI and the contrasting indexes on a quarterly basis. SMODI considers factors influencing soil moisture distribution and retention and the water stress thresholds that plants have evolved to withstand during drought periods. Consequently, this integrated approach enhances the assessment of agricultural drought by relying on pertinent physical processes. SMODI identified extremely dry, severe, moderate and normal drought 5 %, 3 %, 20 % and 72 % respectively conditions in areas characterized by Entisols, Inceptisols, and Andisols, where rice and fruit crops and pasturelands are cultivated. The SMODI has a good correlation with macroclimatic indexes (0.70 < r < 0.74).

TRANSPORT POLICIES, TRANSIT-ORIENTED AND DEVELOPMENT REDISTRIBUTION OF POPULATION IN PERI-URBAN: LESSONS FROM KUALA LUMPUR AND JAKARTA METROPOLITAN AREA

Transit-Oriented Development (TOD) is the representation of a compact land-use management strategy relying on a mixture of land use and transport concepts to manage urban sprawl and population. The concept promotes high-density housing, mixed land use, and integrated mobility. Therefore, this article aims to discuss the incorporation process of TOD concept into urban policies and transport planning in Southeast Asian metropolitan cities. The effects of the policies on population movement patterns are examined, specifically in peri-urban areas, which are the most difficult parts of cities. In addition, the case studies include Jakarta and Kuala Lumpur, representing two of the most rapidly developing metropolitan areas in Southeast Asia where TOD has been progressively adopted. Data and information are collected from documentary reviews and interviews. The results show that the duration of TOD policy implementation gives rise to distinct trajectories in peri-urban population redistribution experiences within the two metropolitan areas.

Abiotic factors impact on oak forest decline in Lorestan Province, Western Iran

The Zagros oak forests in Iran are facing a concerning decline due to prolonged and severe drought conditions over several decades, compounded by the simultaneous impact of temperature on oak populations. This study in oak woodlands of central Zagros forests in Lorestan province analyzed abiotic factors such as climate properties, topographic features, land use, and soil properties from 1958 to 2022. We found that higher elevation areas with steeper slopes and diverse topography show significant potential for enhancing oak tree resilience in the face of climate change. Additionally, traditional land use practices like livestock keeping and dryland farming contribute to a widespread decline in oak populations. Preserving forest biodiversity and ensuring ecological sustainability requires immediate attention. Implementing effective land-use management strategies, such as protecting and regulating human-forest interaction, and considering meteorological factors to address this issue is crucial. Collaborative efforts from stakeholders, policymakers, and local communities are essential to oppose destructive suburban sprawl and other developments. Sustainable forestry practices should be implemented to improve the living standards of local communities that rely on forests and traditional livestock keeping, offer forestry-related jobs, and ensure social security. Such efforts are necessary to promote conservation awareness and sustainable practices, safeguarding this unique and vital ecosystem for future generations.