Land Management Research Articles

Multi-Annual Study of Eriogaster catax (Linnaeus, 1758) (Lepidoptera, Lasiocampidae) Oviposition Strategy in Transylvania's Largest Population: Key Insights for Species Conservation and Local Land Management.

This study provides new insights into the oviposition strategy of Eriogaster catax (Linnaeus, 1758) (Lepidoptera, Lasiocampidae), an endangered species of moth found in semi-natural habitats within agricultural landscapes. Protected under various European directives and listed as Data Deficient by the IUCN, E. catax inhabits warmer regions of the Western Palearctic. Despite noted geographic variations in its ecological preferences, few studies have statistically significant data on its ecology. Our six-year study, conducted within the largest known population of E. catax. in Romania, reveals critical data on its oviposition preferences, including the species' tendency to utilize Prunus spinosa L. and Crataegus monogyna Jacq. shrubs at an average height of 80.48 ± 34.3 cm, with most nests placed within the 41-80 cm range and containing an average of 186 ± 22 eggs. The study also addresses the species' vulnerability to human activities such as bush trimming, agricultural burning, and uncontrolled grazing, particularly due to its low oviposition height. These findings underscore the negative impact of overgrazing and burning practices, particularly when conducted on a large scale, on the conservation of E. catax. The detailed ecological requirements identified in this study are essential for developing effective conservation strategies and habitat management practices. Furthermore, the study highlights the importance of local community involvement and public education in raising awareness about biodiversity and the conservation of endangered species.

Analysis of the structure of Russian acreage within the framework of the concept of sustainable agriculture

The purpose of scientific work is a comprehensive analysis of the impact of changes in the structure of acreage and the land use system on ensuring the sustainability of the agricultural industry in Russia. The results obtained demonstrate that, despite the implementation of a number of legislative initiatives aimed at improving the efficiency and environmental orientation of agriculture, a number of unresolved problems remain in the Russian Federation that hinder the transition to a model of sustainable agricultural production. Inefficient use of land resources is a problem faced by many agricultural regions in Russia. Irrational structuring of land, unbalanced distribution of agricultural land, low efficiency of use of modern technologies and resources lead to the loss of land potential. This has a negative impact on the yield and quality of agricultural products. There may be insufficient attention to the environmental aspects of land management: conserving biodiversity, maintaining natural ecosystems, minimizing the ecological footprint of agricultural activities and applying methods that promote soil regeneration. The comprehensive improvement of land management mechanisms in the Russian Federation, taking into account the concept of sustainable agriculture, involves the development and implementation of policies aimed at stimulating sustainable agricultural practices, supporting innovative methods and technologies, as well as training and advising agricultural producers on sustainable agriculture. This approach will significantly improve land use efficiency and ensure the sustainable development of Russia's agricultural sector.

Territorial Conflicts and Land Management in the Amazon: Challenges and Dynamics in Rondônia

Objective: This article investigates the interaction between agrarian conflicts and territorial management in Rondônia, analyzing the relationship between land disputes, crime, and public policies. Theoretical Framework: The Amazon, vital to the global climate and rich in biodiversity, faces deforestation and territorial conflicts. These challenges, exacerbated by the lack of land regularization, require policies that promote socio-environmental justice and territorial rights of traditional populations (Sauer & Marés, 2013; Clement & Fonseca, 2008). Methods: The research adopts a methodological approach based on literature review and analysis of data from institutions such as IBGE, INCRA, and Comissão Pastoral da Terra. The triangulation of quantitative and qualitative data allowed for an in-depth understanding of occupation patterns and territorial conflicts in Rondônia. Results and Discussion: The results demonstrate a correlation between conflicts, crime, and territorial management. The lack of effective public policies results in violent disputes, highlighting the need for integrated strategies to resolve these conflicts. Research Implications: The research shows that public policies should focus on land regularization and peaceful mediation of conflicts to reduce violence and improve security in rural areas of the Amazon. Originality/value: The study contributes by analyzing the relationship between land management and agrarian conflicts in Rondônia, proposing integrated and inclusive approaches to reduce violence and promote sustainable development.

Kepastian Hukum Hak Pengelolaan Atas Tanah Badan Pengusahaan Batam terhadap Pendayagunaan Pulau Rempang

The Basic Agrarian Law is a legal reform in the agrarian sector. In the utilization of islands, especially the management of small islands, permission must be obtained. Management Rights are partially delegated to government agencies including Local Governments, State-Owned Enterprises, Regional-Owned Enterprises, PT.Persero, Authority Bodies and other legal entities to be used according to their respective duties. The existence of Land Management Rights (HPL) does not guarantee an island to be utilized by interested parties, including the utilization of Rempang Island which will be used as a National Strategic Project (PSN). The existence of regulations governing special provisions in the management of small islands must also be considered and examined so that some parties do not feel disadvantaged. This research will answer the questions of (1) How is the legal certainty of the Batam Concession Agency's Land Management Rights in the utilization of Rempang Island, (2) How is the Batam Concession Agency's problem in the management and utilization program of Remapang Island. This research uses normative juridical research by reviewing the applicable laws and regulations and using secondary data as the main data.

Peace Education through Agroecology and Organic Farming

In this paper, the challenge of peace education appears as an emergent cultural need in a context of conflictual relationships among human beings and between human beings and their life environment. All sectors of human activity, including agriculture, can potentially contribute to building a cultural barrier to a mounting wave of wars. The ecological approach to agriculture through the ecosystem concept is suitable for unveiling the power of cooperation in developing symbiotic relationships between and among agroecosystem components for attaining a balance of ecosystem services (supporting, provisioning, regulating, and cultural). Enhancement of biodiversity within and between cultivated fields is key for the maintenance of sustainable agriculture, land management, and viable rural community. Scaling up cooperation among hierarchical levels of agriculture organisation (field, farm, and regional, national, international landscapes) appears as the most promising solution for developing a coherent framework consistent with building a peaceful attitude for managing both land, food systems, and friendly relationships among human beings. Organic farming is already a certified and appreciated method of agriculture production that has a potential for improving a peaceful attitude when supported by the core principles of Agroecology.

Enhancing highland ecosystems in East Hararge, Ethiopia: evaluating intervention strategies for species diversity, soil organic carbon stock, and carbon sequestration

Forest loss and soil degradation pose significant challenges globally, particularly in developing nations like Ethiopia. Various intervention strategies have been implemented to rehabilitate degraded ecosystems. However, research gaps exist in understanding the most effective approaches, particularly in highland ecosystems. This study aimed to evaluate the effectiveness of different intervention strategies on species diversity and carbon stock in the West Hararghe zone, specifically at the Doba district Hades site. The data was collected from 5 February 2022 to 10 December 2022. The study area was characterized by systematic plots and transects to assess vegetation diversity and soil properties across four intervention categories: (physical; only soil and water conservation structures were used, enclosure; only animal and human interaction was restricted, biological; only different tree species were planted, biophysical; both soil water conservation and tree planting were used). Soil samples were collected at different depths, and biomass estimation was conducted using established formulas. Statistical analyses, including one-way ANOVA and post-hoc tests, were performed to test the level of significance. Biophysical interventions exhibited the highest species diversity index (SDI) (4.65 ± 1.21), followed by enclosure interventions (1.68 ± 0.58), while physical interventions recorded the lowest SDI (0.63 ± 0.18). Enclosure interventions led to the highest soil organic carbon (SOC) stocks at 40.13 t C ha−1, followed by biophysical interventions at 39.26 t C ha−1. Physical interventions resulted in the lowest SOC stocks at 23.9 t C ha−1, underscoring their potential for carbon sequestration. Biophysical interventions, which include both above-ground and below-ground biomass, showed significant carbon stock accumulation, totaling 173.8 t C ha−1 (39.26 t C ha−1 from SOC and 114.6 t C ha−1 from biomass), highlighting their effectiveness in enhancing ecosystem resilience. Other studies support these findings, underscoring the importance of context-specific approaches and long-term monitoring for sustainable land management. Enclosure and biophysical interventions emerge as promising strategies for enhancing species diversity and soil health, as well as promoting carbon sequestration in highland ecosystems. These findings emphasize the need for informed decision-making and community involvement in ecosystem restoration efforts to achieve meaningful and lasting impacts.

Balancing conservation and development for achieving land degradation neutrality

The loss of biodiversity has risen dramatically in the face of a global emergency and worsened by human activities which involves habitat destruction, pollution, and climate change. Biodiversity is essential for sustainable development, supporting ecosystem services crucial for agriculture, forestry and climate regulation. These services are threatened by biodiversity loss, which also has an impact on world cultural heritage, economic stability and human well-being. Moreover, a decline in biodiversity exacerbates the effects of climate change, undermining ecosystem resilience and making food poverty worse. Achieving Land Degradation Neutrality (LDN), a global goal to stop and reverse land degradation through sustainable land management techniques, depends on effective biodiversity protection. LDN projects aim to balance restoration efforts against deterioration in order to preserve or improve land-based natural capital. This chapter highlights the biophysical and socioeconomic factors driving land degradation, including unsustainable agricultural practices, urbanization and climate change impacts. It underscores the importance of integrated approaches that consider ecological, social and economic dimensions in achieving LDN. Principles such as respecting human rights, promoting good governance, and engaging stakeholders are critical for successful LDN implementation. This chapter emphasizes the need for global cooperation and policy reforms to mitigate biodiversity loss, combat land degradation and ensure sustainable land use practices for future generations.

Exploring botanical diversity, ecological traits, and edaphic determinants in Kala Chitta National Park, Pakistan: Implications for conservation and management

Globally, environmental degradation has prompted several countries to strengthen their protected area networks to halt biodiversity loss. National parks incorporate into their design, are based on scientific evidence, and offer a complete management mechanism to enable successful conservation for the most ecologically critical and vulnerable ecosystem. However, managing these protected areas effectively requires a grasp of the complex dynamics of plant ecosystems and edaphic factors. Nevertheless, Pakistan's protected areas have seen the least investigation of these relationships. To fill this knowledge gap, this study investigates the vegetation dynamics and edaphic factors that influence plant distribution in Kala Chitta National Park of Pakistan. A comprehensive botanical survey documented 203 plant species across 60 study sites, revealing a diverse flora comprising species from 160 genera and 54 families. The most abundant families were Poaceae (34 species) and Fabaceae (21 species), Amaranthaceae (13 species) and Asteraceae (15 species). The majority of species were herbaceous (49.2%), followed by grasses (16.7%) and shrubs (15.2%). Climbers and ferns constituted 1.4% and 1.9% of the total, respectively, with co-dominant habits of tall reed and sedge accounting for 2.9% of the vegetation. Ecologically, Therophytes emerged as the most numerous life forms (42.8%), followed by hemicryptophytes (17.7%) and megaphanerophytes (8.3%). Analysis of leaf spectra revealed Nanophylls as the dominant type (36.9%), followed by Microphylls (33%). Phytogeographical distribution highlighted three major clusters, with Asia Tropical, Asia Temperate, and Europe accounting for 45% of species. Four distinct plant communities were identified using TWINSPAN analysis: Senegalia-Dichanthium-Justica (SDJ), Neltuma-Lantana-Cannabis (NLC), Prosopis-Saccharum-Desmostachya (PSD), and Dodonaea-Alhagi-Oxalis (DAO). Each community exhibited unique species compositions and ecological gradients influenced by edaphic factors. PCA revealed associations between specific edaphic variables and plant communities, with available phosphorus (AP) and potassium (AK) linked to the NLC community. At the same time, total nitrogen (TN) was predominantly associated with the DAO community. These findings highlight the importance of soil conservation and sustainable land management practices for preserving biodiversity and ecosystem integrity within Kala Chitta National Park. Future research should focus on long-term monitoring of vegetation dynamics and collaborative conservation initiatives involving local stakeholders to promote ecosystem resilience in the face of environmental change.

Spatially Explicit Impact of Land Use Changes in the Bay Area on Anthropogenic Phosphorus Emissions and Freshwater Eutrophication Potential.

Land use changes significantly impact anthropogenic phosphorus (P) emissions, their migration to a water environment, and the formation of freshwater eutrophication potential (FEP), yet the spatiotemporally heterogeneous relationships at the regional scale have been less explored. This study combines land use classification, P-flow modeling, spatial analysis, and cause-effect chain modeling to assess P emissions and P-induced FEP at a fine spatial resolution in Guangdong-Hong Kong-Macao Greater Bay Area and reveals their dynamic responses to land use changes. We find that land conversion from cultivated land to impervious land corresponded to an increase in P emissions of 4.1, 1.8, and 0.5 Gg during 2000-2005, 2005-2010, and 2010-2015 periods, respectively, revealing its dominant but weakening role in the intensification of P emissions especially in less-developed cities. Expansion of aquacultural land gradually became the primary contributor to the increase in both the amount and intensity of P emissions. Land conversions from cultivated land to impervious land and from natural water bodies to aquacultural land led to 35.9% and 25.3% of the increase in FEP, respectively. Our study identifies hotspots for mitigating the environmental pressure from P emissions and provides tailored land management strategies at specific regional development stages and within sensitive areas.

Evaluating the ability of the Wind Erosion Prediction System (WEPS) to simulate near-surface wind speeds in the Inland Pacific Northwest, USA

Wind speed is one of the main control factors of wind erosion and dust emissions, which are major problems in arid and semiarid regions of the world. Accurately simulating highly precise hourly wind speeds is critical and cost-efficient for land management decisions with the goal of mitigating wind erosion and land degradation. The Wind Erosion Prediction System (WEPS) is a process-based, daily time-step model that simulates changes in the soil–vegetation–atmosphere. However, to date, relatively few studies have been conducted to test the ability of the WEPS in simulating hourly wind speeds. In this study, the performance of the WEPS model was tested in the Inland Pacific Northwest (iPNW), where wind erosion is a serious problem. Hourly wind speeds were observed and simulated by the WEPS at 13 meteorological stations from 2009 to 2018 using the WEPS hourly wind speed probability histogram. Owing to increasing wind shear, the model is not as precise in reproducing high wind speeds. The WEPS inadequately simulated the hourly wind speeds at six of the 13 stations, with a low index of agreement (d < 0.5). The complex regional topography may be one of the reasons for this lack of agreement, because the WEPS’s performance of interpolation relies on spatial distances and surface complexity. Therefore, we validated the model using another wind-speed database to eliminate the impact of spatial interpolation. The performance of the WEPS was improved after removing the impact of spatial interpolation, producing d values > 0.5 at nine of the 13 stations. Our results suggest that the WEPS can accurately simulate hourly wind speeds and assess wind erosion in the absence of interpolation, whereas the model may be uncertain when invoking spatial interpolation. Some evidence also suggests that the model may have a tendency to underestimate observed hourly wind speeds. Pragmatically, this suggests that model users should consider the possibility that WEPS may underestimate wind erosion risk in the iPNW and plan implementation of conservation practices accordingly.

Towards sustainable development goals: Leveraging multi-data remote sensing fusion for monitoring groundwater-induced bedrock subsidence dynamics in Egypt's Nile Valley

Egypt's Golden Triangle megaproject within Egypt's vision 2030, involving land reclamation in Qena Bend's densely populated governorate, develops sustainable land management strategies. Advanced technologies and low-cost remote sensing multi-data fusion are utilized to understand subsidence dynamics influenced by geologic structure, groundwater, climate change, and human activities in Egypt's Nile Valley. This approach identifies environmental hazards and provides a detailed explanation for groundwater-induced bedrock subsidence, aiding in informed decision-making and risk avoidance. Landsat images reveal 13% increased cultivation, 28.28% urban-growth, and decreased water by 8.46%, impacting groundwater resources and controlling the situation. The Gravity Recovery and Climate Experiment(GRACE) and Global Land Data Assimilation System (GLDAS) satellite observations reveal changes in water storage, impacting climate change, groundwater storage dynamics, and aquifer behavior. Historical data indicates a significant southwest-northeast gradient in precipitation from 5 to 60 mm. GLDAS shows soil moisture decline from 0.25 to 0.23 mm. GRACE (total water storage) depleting, then slightly increasing from 2020 to 2023 with an average value (−5 cm/yr). Groundwater storage increases in wet seasons, in 2015 showing (+3–4 mm), less than (+1 mm) in (2018), and (+6–8 mm) in (2020–2023). The NE-SW and NW-SE faults increase hydraulic connection and recharge from aquifers, causing groundwater circulation and karstification in Eocene limestone aquifers, posing risks to urban development and human safety. The InSAR (Synthetic Aperture Radar) measures ground subsidence over time, revealing a range of (−0.04 to −0.07m) in the northwest to (+0.03m) in the southeast, with average subsidence (-4 cm), primarily associated with increased groundwater storage motivate the interaction between the carbonate and groundwater. The ArcGIS overlay model divides the region into three zones: northern, middle, and southern, each with varying degrees of displacement and groundwater storage. The findings emphasize the significance of remote sensing in hazard evaluation for development planning due to its cost-effectiveness and accuracy, applicable globally in hydrogeologically similar areas.

High resolution concentration-discharge relationships in managed watersheds: A 30+ year analysis

Concentration-discharge (C-Q) relationships provide insight into solute transport and biogeochemical processes for watersheds. A 30+ year, high-resolution dataset from the North Appalachian Experimental Watershed (NAEW) offers an unparalleled opportunity to explore land use and land management impacts on C-Q relationships for small watersheds of varying land management histories (agricultural to forested). The NAEW was among the few hydrologic research sites where storm event runoff was sampled using proportional sampling. This method captures the concentration-discharge behavior associated with land use more effectively than instantaneous sampling, which favors rising limb or falling limb dynamics. In this study, we explore C-Q relationships by investigating baseflow and storm event flow across their total behavior. We also build a systems-understanding by comparing chemostatic behavior to soil geochemistry and land use history. Highly managed agricultural watersheds with no associated stream baseflow demonstrate near-chemostatic behavior for most solutes, while mixed use and forested watersheds with associated streams are more mutable depending on whether primary sources of water were groundwater or surface water. Using this unique high-resolution dataset, we show that concentration-discharge relationships are influenced by soil and baseflow geochemistry, pore fluid concentration, and land type/land use legacy effects.

Predicting potential biomass production by geospatial modelling: The case study of citrus in a Mediterranean area

Residual biomass from agricultural production and processing, such as citrus pulp and olive pomace, is an important resource for energy production. In particular, this is the case in regions where transformation industries are concentrated.Current biomass estimates often focus on actual production data, that may not fully capture the biomass potential across all suitable cultivation areas. To bridge this gap, the study predicts the overall potential biomass available for energy production, taking into account the total area suitable for citrus cultivation.The research is focused on the study of citrus species in the province of Syracuse, Sicily, Italy. The methodology combines Geographic Information System (GIS) tools, for data interpolation and map overlays, with Software for Assisted Habitat Modelling (SAHM) for local level simulations.The results of the different models showed accurate and spatially coherent predictions, with AUC values ranging from 0.85 to 0.90, and highest potentialities in the northern and eastern regions of the study area. The results highlighted potential citrus cultivation on 47,706 ha and estimated 184,340 t of biomass, 16,461,520.82 Nm3 of biogas, and 8110 t of digestate. The results of the study identified potential areas for both increasing biomass production and optimising the distribution of digestate, thus demonstrating the utility of these thematic maps as a decision support tool for land management. The simulations and the methodology applied in this study indicated potential economic and environmental benefits to be gained from sustainable by-product management. This approach facilitates the optimisation of decision-making processes for land planning, thereby contributing to the broader objective of improving resource efficiency and sustainability in the agricultural production and processing sectors.

Biomass inputs drive agronomic management impacts on soil health

Numerous conservation and regeneration practices are recognized as effective strategies in the management of soil health (SH), a critical factor for ensuring the sustainability of food production systems. Despite their acknowledged importance, the multifaceted impacts of these practices often lead to confounding effects, and reliance on generic categorization of agronomic practices often falls short in portraying the drivers of SH. We advocate for a paradigm shift from a label-centric approach to one rooted in processes. Our study underscores the pivotal role of aboveground biomass cycling as an indicator for assessing the potential of agronomic management practices to instigate shifts in carbon balances, and, consequently SH. Drawing on soil physical, biological, and chemical SH data from three Uruguayan long-term experiments on Pampas region Mollisols we (i) present quantitative evidence of the importance of evaluating SH through biomass inputs, and (ii) illustrate the applicability of the proposed framework for evaluating different scenarios of land management for the region. Management-induced variations in aboveground biomass inputs accounted for 50 % of the observed changes in a composite soil's physical and biological SH index and helped explain the inconsistent effect of management practices. Raising the SH Index by ten points required an increase in biomass inputs of over 50 Mg ha⁻¹. Based on this concept, substantial enhancements in SH can be made by narrowing yield gaps and intensifying cropping sequences over many years. The benefits of practices such as increased crop diversification, integration of perennial and cover crops, or reduced tillage in promoting SH depend in part on their ability to augment biomass production. This nuanced understanding underscores the importance of aligning agronomic strategies with the fundamental processes driving SH dynamics.

Law on Ensuring the Legitimate Interests of the People in the Land Sector

Recently, shortcomings in legal policies and practices, together with lax land management, have led to many land conflicts, causing complex political and social hotspots. Among the causes of this situation are unreasonable compensation prices for site clearance; unclear land boundaries, lack of legal basis, lack of land management records; and overlaps and conflicts between customs and practices of land use with laws and administrative regulations in land management in ethnic minority areas. The purpose of this study is to clarify the limitations in land laws such as land use limits, land use terms; regulations on land recovery and compensation when recovering land, restrictions on land prices; regulations on resettlement for people whose land is recovered; land use planning; from these shortcomings, propose solutions to improve land laws to protect the legitimate interests of the people.

Exploring the inclusion of soil management practices in erosion models towards the improvement of post-fire predictions

Wildfires are recognized for having a strong impact on forest soils, a situation aggravated by inadequate pre-fire land management practices. Land management operations, such as plowing, are routinely carried out for cultural reasons and can impact soils for decades after their implementation. Therefore, it is crucial to take into account the pre-fire land management history when predicting post-fire sediment losses in burnt areas. This consideration is critical for a realistic assessment of soil erosion risk and, consequently, for effectively implementing emergency stabilization and/or rehabilitation measures.The aim of the study was to integrate pre-fire land management practices into erosion models, to enhance post-fire sediment losses predictions at slope scale. To accomplish this goal, both Multiple Linear Regression (MLR) and the revised-Morgan-Morgan-Finney model (revised-MMF) were applied in the Colmeal burnt area (Central Portugal). These models were adapted to account the impacts of different management options, specifically no plowing, downslope-plowing and contour-plowing, on the erosive response following a wildfire.The results revealed fluctuations in the performance of both models across different soil management, and over time since the wildfire. Despite the observed variability, it is important to highlight the positive outcomes achieved with the revised-MMF model over the three monitoring years where contour-plowing was applied. These results demonstrate that the best model performances are achieved when soil management is individualized and analyzed independently. Similarly, the MLR model exhibited improved performance when incorporating management practices into its predictions. This study confirms that disturbances on topsoil, whether caused by wildfires or soil management operations, play key roles in driving change in soil erosion. Hence, integrating these factors into models is essential for providing relevant information for the development of mitigation and/or restoration strategies in areas at high risk of erosion.

Remote Sensing Mapping and Analysis of Spatiotemporal Patterns of Land Use and Cover Change in the Helong Region of the Loess Plateau Region (1986–2020)

Land use and cover change (LUCC) is directly linked to the sustainability of ecosystems and the long-term well-being of human society. The Helong Region in the Loess Plateau has become one of the areas most severely affected by soil and water erosion in China due to its unique geographical location and ecological environment. The long-term construction of terraces and orchards is one of the important measures for this region to combat soil erosion. Despite the important role that terraces and orchards play in this region, current studies on their extraction and understanding remain limited. For this reason, this study designed a land use classification system, including terraces and orchards, to reveal the patterns of LUCC and the effectiveness of ecological restoration projects in the area. Based on this system, this study utilized the Random Forest classification algorithm to create an annual land use and cover (LUC) dataset for the Helong Region that covers eight periods from 1986 to 2020, with a spatial resolution of 30 m. The validation results showed that the maps achieved an average overall accuracy of 87.54% and an average Kappa coefficient of 76.94%. This demonstrates the feasibility of the proposed design and land coverage mapping method in the study area. This study found that, from 1986 to 2020, there was a continuous increase in forest and grassland areas, a significant reduction in cropland and bare land areas, and a notable rise in impervious surface areas. We emphasized that the continuous growth of terraces and orchards was an important LUCC trend in the region. This growth was primarily attributed to the conversion of grasslands, croplands, and forests. This transformation not only reduced soil erosion but also enhanced economic efficiency. The products and insights provided in this study help us better understand the complexities of ecological recovery and land management.

Fusion of spectral and topographic features for land use mapping using a machine learning framework for a regional scale application.

This study investigated the dynamics of land use and land cover (LULC) modelling, mapping, and assessment in the Kegalle District ofSri Lanka, where policy decision-making is crucial in agricultural development where LULC temporal datasets are not readily available.Employing remotely sensed datasets and machine learning algorithms, the work presented here aims to compare the accuracy of three classification approaches in mapping LULC categories across the time in the study area primarily using the Google Earth Engine (GEE). Three classifiers namely random forest (RF), support vector machines (SVM), and classification and regression trees (CART) were used in LULC modelling, mapping, and change analysis. Different combinations of input features were investigated to improve classification performance. Developed models were optimised using the grid search cross-validation (CV) hyperparameter optimisation approach. It was revealed that the RF classifier constantly outstrips SVM and CART in terms of accuracy measures, highlighting its reliability in classifying the LULC. Land cover changes were examined for two periods, from 2001 to 2013 and 2013 to 2022, implying major alterations such as the conversion of rubber and coconut areas to built-up areas and barren lands. For suitable classification with higher accuracy, the study suggests utilising high spatial resolution satellite data, advanced feature selection approaches, and a combination of several spatial and spatial-temporal data sources. The study demonstrated practical applications of derived temporal LULC datasets for land management practices in agricultural development activities in developing nations.

The Genesis and Development of The Definition of Land Management: A Look Through The Prism of History

The Genesis and Development of The Definition of Land Management: A Look Through The Prism of History

Evaluation of Land Ecological Status and Diagnosis of Obstacle Factors in Jiangsu, China

By constructing a land ecological evaluation index system at the village scale and using models such as spatial correlation analysis, hotspot analysis, and obstacle factor diagnosis, the basic characteristics, spatial differentiation, and obstacle factors of land ecological status in Jiangsu Province were studied. This study sought to clarify the foundation, structure, function, and benefit characteristics of land ecosystems and optimize land management and policy regulation. The results showed that： ① The spatial distribution of land ecological status in Jiangsu Province was high in the north and low in the south, with multiple high-value areas radiating outward and decreasing, with low value centers radiating outward and increasing. The distribution area of the highest and lower values was relatively small, whereas the area of the middle value area was the largest. The higher values were mainly distributed in the suburbs and edge areas of each county. ② The spatial autocorrelation of land ecological status in Jiangsu Province was significant, with hot spots mainly concentrated in northern Jiangsu and cold spots concentrated in southern Jiangsu, as well as some areas of Taizhou and Nantong. The spatial distribution of cold and hot spots showed a complementary pattern with the level of regional development. The comprehensive index value of land ecology in developed areas was lower, whereas the index value in underdeveloped areas was higher. ③ The natural background conditions of Class Ⅰ land ecological zone in Jiangsu Province were superior, with good ecological construction and benefits and a high level of ecological status. The obstacle factors mainly included the proportion of water bodies and the average annual degradation rate of forest land. The Class Ⅱ land ecological zone was mostly located in the Huainan region and mainly composed of plain landforms. The Class Ⅲ land ecological zone had the largest area, located in the riverside areas of southern Jiangsu. The obstacle factors mainly included the average annual degradation rate of arable land and the proportion of soil pollution area. By controlling land ecological risks, the early warning level of ecological crisis could be improved.