Sustainable Land Use Research Articles

Application of GIS and Multi-Criteria Analysis (MCA) in Land Evaluation at Ninh Phuoc District, Ninh Thuan Province, Vietnam

This study was conducted to assess land suitability (land evaluation) in the Ninh Phuoc districts in order to identify evidence for recommending main crops effectively and sustainably using agricultural land under drought conditions. Results indicated that Ninh Phuoc district had 83 land mapping units (LMUs), with 10 main land use types (LUTs) of rice, annual cash crops, and perennial plants. About 99.2% of agricultural land was classified as high suitability (S1), moderate suitability (S2), and marginal suitability (S3) for most LUTs, while non-suitability (N) lands were very small (0.8%). This study’s land suitability classification analysis has offered valuable insights into the current land use situation in Ninh Phuoc district and proposes sustainable land management recommendations. It has taken into account various land use criteria and assumptions. The study has proposed the following actions for sustainable land use: (i) Maintain highly suitable (S1) and moderately suitable (S2) land areas, (ii) Renovate or convert marginally suitable land (S3) to suitable tree planting/forestation, (iii) Convert unsuitable land (N) to forestry, grass, or plants that enhance soil quality, and (iv) Preserve existing forest areas without encroachment. Specific results in Ninh Phuoc district when applying land suitability classification for future orientation are as follows: maintain 14,859.31 ha, which has high suitability (S1) and moderate suitability (S2) levels; maintain 30.78 hectares of grass and convert 335 hectares to other suitable trees/forest plantations for the suitable marginal area (S3); Convert 122 ha of Not Suitable (N) to afforestation/grass/apply land soil improvement measure; For more than 3700 hectares of unused land, put into use 343.53 ha for growing spice plants, 8.67 ha for rice, 677.18 ha for planting forest trees, 2,691.50 ha for development of pasture and grazing.

Examining Patterns and Trends of Change in Greater Yola, Adamawa State, Nigeria: A 10 Years Spatio-Temporal Investigation

This research paper explores the dynamics of land cover and land use in Greater Yola, Adamawa State, Nigeria, spanning the years 2013 to 2023. Through comprehensive analysis, including remote sensing techniques and spatial modeling, the study examines the temporal trends and implications of urbanization on ecosystem diversity and resilience within the region. The findings reveal a significant trend of rapid urbanization, characterized by the expansion of built-up areas at the expense of natural vegetation, which poses challenges to ecosystem integrity. Furthermore, the analysis highlights the implications of these changes for ecosystem diversity, including the loss of natural habitats and fragmentation of ecosystems, threatening biodiversity and essential ecosystem services. The study underscores the critical need for a balanced approach to urban development and environmental conservation to achieve sustainable development goals. Recommendations are provided to guide policymakers and stakeholders in fostering ecosystem conservation, promoting sustainable land use practices, and mitigating the adverse impacts of urbanization on ecosystem health. By implementing these recommendations, Greater Yola can strive towards achieving a harmonious balance between urban growth and environmental stewardship, ensuring the long-term sustainability of ecosystems and the well-being of its residents.

Assessment of land use changes in Hung Yen province from 2010 to 2020, forecast to 2030 and proposed solutions for sustainable land use of the province

Hung Yen is a province in the Red River Delta, located in the center of the Northern Delta and the Northern Economic Zone (Hanoi - Hung Yen - Hai Duong - Hai Phong - Quang Ninh). Due to that favorable geographical location, in recent years, infrastructure and industrial parks in the province have developed strongly. The results of the assessment of land use changes in the period 2010-2020 in Hung Yen province show that the period 2015-2020 had more significant changes than the period 2010-2015. For industrial land, the period 2015-2020 saw an increase of 137.70%, while the period 2010-2015 saw an increase of 84.25%. Residential land, office buildings, transportation, and other non-agricultural land increased by 8.3% in the period 2015-2020, while it increased by 6.81% in the period 2010-2015. On the other hand, the agricultural land fund also saw a faster decline in the period 2015-2020 than in the period 2010-2015. For example, the area of land for perennial crops decreased by 18.71% in the period 2015-2020, while it decreased by 7.75% in the period 2010-2015. The results of the forecast of land use status to 2030 show that the area of non-agricultural land has surpassed that of agricultural land. In particular, the area of land for annual crops has decreased significantly, with a decrease of 8.88%, much higher than the 4.60% in the period 2010-2020. This type of land was used for growing rice and other vegetables to ensure food security for the province and the country. In addition, due to the shrinking agricultural land area, it is necessary to switch the crop structure to be suitable for climatic conditions as well as for each type of soil and terrain conditions. In addition, it is necessary to apply scientific and technical methods to agriculture to increase productivity and achieve high economic efficiency.

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.

Study on the Construction of Evaluation System of Cultivated Land Intensive Use in Different Spatial Scales

The sustainable intensive use of cultivated land(SIUCL) is a strategic demand to change theway of agricultural development and promote the construction of ecological civilization. The comparative analysis of different scales and the scale transformation, extension and integration has an important influence on the sustainable and intensive use of cultivated land. This paper summarizes the construction principles of the evaluation system, and combs the evaluation of cultivated land intensive use at different spatial scales. The results show that (1) The studies on the intensive use of cultivated land at the macro-scale are the most which mainly include provinces, urban agglomerations, watersheds, economic zones, etc.. The evaluation system of intensive use of cultivated land at the macro-scale has gradually expanded from the evaluation of input intensity and output benefit to the evaluation of input intensity, output benefit, utilization degree and sustainability status. (2) The studies on the intensive use of cultivated land at the median-scale are mainly include small and medium-sized cities, counties, etc.. The evaluation indexes of intensive use of cultivated land at the median-scale includes input intensity, output effect, utilization level and sustainable utilization status, which is consistent with macro-scale studies. But all the indicators are more comprehensive. (3) The studies on the intensive use of cultivated land at the micro-scale are mainly include towns, villages, farmers, plots, etc.. Among them, in the evaluation system of cultivated land intensive use at the farmer scale, the selection of indicators is very different from that of macro-scale and median-scale studies. Most of the data come from farmer interviews, questionnaires, etc.

Molecular Identification and Characterization of Indigenous Rhizobacteria from Haryana and Punjab and Their Inoculation Effect on Prosopis cineraria

India grapples with escalating soil salinity, projected to afflict 16.2 million hectares by 2050. Reforestation, vital in North India's sodic wastelands, counters severe degradation. Rhizobacteria that promote plant growth (PGPR) are essential for managing forests sustainably. These microbes help rhizosphere plants form symbiotic relationships that promote hormone production, nitrogen fixation, increased phosphate availability, iron sequestration, and defense against outside threats. The study aimed to isolate halo-tolerant microbial strains from salt-affected areas and studied their effect on tree species to alleviate their overall growth in Punjab and Haryana. We isolated 880 bacterial isolates from salt-affected areas in Punjab and Haryana; they have a variety of metabolic capabilities and are resistant to both salty and alkaline environments. Pot studies with a range of tree species verify the beneficial effects of particular bacterial strains, such as Pseudomonas mosselli and Klebsiella aerogenes, on soil &plant development metrics. Validation of these results by 16S rRNA gene sequencing highlights the potential of these isolates for soil remediation in salt-affected areas. The study highlighted the importance of microbial interventions in alleviating soil deterioration and fostering sustainable land use practices, and it suggests more field studies with different varieties of trees.

The contribution of using Artificial Intelligence in the Sustainable Development

New strategies arising from the accessibility of internet and the growth of all types of digital technologies have allowed to major gains and improved the development of many sectors. Machine Learning is one of the prominent technologies of Artificial Intelligence that ensure the improvement of many sectors in the international economy and encourage the decision making at all levels. In other sides, the current demands for sustainable development have led to a pressing need to encourage more sustainable land use and industrial development to maintain quality of life. To this end, governments, through the word, have tried to achieve the objectives of the millennium within the framework of the Development Goals Sustainable (ODS). The adoption of the Machine Learning tools to achieve the Sustainable Development Goals seemed to provide a new directions, perspectives and opportunities for this realization. The present work seeks to investigate the adoption of a various ML techniques in the Sustainable Development. It allows discussing opportunities and challenges that ML gives for the realization of the Sustainable Development goals.

Analyzing green and sustainable land use in China's coal cities: Insights from industrial transformation.

Driven by the goal of achieving sustainable development and carbon neutrality. Addressing environmental pollution and remediating land damage have become critical challenges in resource-based cities and regions with low land use efficiency. As a response, this study focuses on the 23 provinces where China's coal resource-based cities are situated. Utilizing data from 2014 to 2020, this research employs the SBM-Undesirable model, which considers undesirable outputs in efficiency calculations, and the Tobit regression test. It aims to explore the spatio-temporal variations in industrial transformation within resource-based cities and its impact on the efficiency of green space utilization. Furthermore, it analyzes the characteristics and the extent of the influence of factors such as industrial structure adjustments on urban land use efficiency, maximizing the output of land as a factor of production. The results show that: (1) Over the 7-year period studied, China consistently made nationwide adjustments to land area and land use structure to meet the needs of urban development (2) The regression test results show that the industrial transformation of resource-based cities can promote the improvement of green space utilization efficiency. The positive influence coefficient is 0.064 and is significant at a 1% level. (3) Environmental regulation, government expenditure, international trade, and green cover play a positive role in promoting green land use. The study provides valuable insights for policymakers and urban planners seeking to foster sustainable development in resource-based cities.

A multi-criteria decision framework to evaluate sustainable alternatives for repurposing of abandoned or closed surface coal mines

Surface coal mines, when abandoned or closed, pose significant environmental and socioeconomic challenges. Repurposing these sites is crucial for sustainable land use and responsible resource management. This study presents a comprehensive decision framework tailored to the Indian mining context, utilizing a hybrid approach combining the analytic hierarchy process (AHP) and technique for order preference by similarity to an ideal solution (TOPSIS) methodology. The proposed framework assesses and ranks alternative repurposing options by considering a multi-criteria evaluation, including ecological, economic, social, and regulatory factors. AHP is employed to determine the relative importance of these criteria, reflecting the unique priorities and perspectives of stakeholders involved in the repurposing process. TOPSIS then identifies the optimal alternatives based on their overall performance against the established criteria. This hybrid methodology contributes to informed decision-making in the sustainable repurposing of abandoned surface coal mines in India. It aids in identifying the most viable and environmentally responsible alternatives, promoting efficient land use and resource conservation while addressing the challenges associated with abandoned mine sites. The methodology’s applicability extends globally to industries facing similar repurposing challenges, facilitating the transition toward a more sustainable and responsible land reclamation and resource management approach. The methodology is implemented using real mine data and demonstrates the analysis for evaluation among multiple alternatives such as solar parks, fish farming, eco-resorts, forestry, and museums. In our study, eco-resorts show more promise based on the significant potential for local economic development, provision of local employment, long-term revenue generation, potential for upskilling local youth in management, gardening, construction, and animal husbandry, and serving as a site for exhibitions of various arts and crafts.

Effects of climate variability and/or land use dynamics on the hydrological balance of the Cavally river catchment at Toulepleu, West Africa

Abstract The study focuses on assessing the individual and combined impacts of climate variability and land use change on hydrological responses. The results indicate that the basin, urban area, cropland, degraded forest, and open forest shows an increasing trend, while gallery forest show a decreasing trend over the period 1992–2015. Climatic variability is marked by two climatic periods (a wet one from 1980 to 1996 and a dry one from 1997 to 2016) with a 35% decrease in rainfall. Regardless of the state of the landcover used, the simulated mean annual runoff decreases by 67.92% between the wet and dry climate periods. Changes in land use between 1992 and 2015 reduce mean annual runoff by 4.71%. Analysis of the joint effect of climatic and LU variation shows a 68.96% reduction in runoff. In this catchment, the joint impact has a clearly greater effect on runoff than the climatic impact, which is greater than that of human activities. There is a need for policymakers to prioritise sustainable land use practices and integrated water resource management strategies in the area to mitigate the combined effects of climate variability and anthropogenic activities, ensuring the long-term resilience of the ecosystem and water availability for local communities.

Integrating land quality in peri-urban agriculture for sustainability and green revolution in Vietnam

Agricultural Land Use Systems (LUS) contributes to Green Revolution (GR) and sustainable development in Vietnam, however, the GR exerts a dual impact-both positive and negative-on agricultural LUS in suburban regions. Land Quality Indicators (LQI) is integrated into the Pressure-State-Response (PSR) model to assess agricultural LUS across four landscapes in a peri-urban area of Hanoi capital city (Vietnam). The selected 75 indicators are subject to elimination based on the distinct natural and social contexts prevalent in each landscape. The findings indicate that primary pressures impinging upon agricultural LUS are dwindling irrigation water, escalating erosion resulting from cultivation, inadequate agricultural infrastructure, price imbalances, and pollution from industrial parks and craft villages. An amalgamation of traditional and high-tech solutions is recommended to enhance the quality of organic produce and foster stronger connections between suburban and urban. Integrating LQI into the PSR framework supplants conventional assessment methods, paving the way for more effective sustainable land use planning in peri-urban areas in the foreseeable future.

Economic development and optimal allocation of land use in ecological emigration area in China

Due to factors such as climate, environment, and resource scarcity, a large number of ecological immigration activities have been carried out in many regions of the world, and a large amount of land has been abandoned in emigration areas, which makes it difficult to reflect the economic value of the land in the process of land ecological restoration. Many scholars mainly focus on the socio-economic development of the immigration area, while the ecological economic value of the land in the emigration area is neglected. The Chinese government has organised and implemented six large-scale resettlement projects in Ningxia to alleviate poverty and bring prosperity to areas where the soil and water are not well nourished and people are struggling. Thus, this study observed Guyuan City, Haiyuan County, and Tongxin County in central and southern Ningxia and conducted a systematic and comprehensive analysis of land resources, natural resources, the ecological environment, and social economy in the emigration area. Based on the accurate identification of the land scale of the emigration area, evaluating industrial suitability in the ecological emigration area, this study intended to strike a balance between ecological and economic development. The results showed that the emigration area is 8.0794 million mus, and the main types of land use are grassland, arable land, and forest land; the industrial development directions include large-scale livestock farming, drought-tolerant fruit farming, cold-resistant vegetable farming, modern forestry, specialised understory and photovoltaic and wind power production. The results provide policy inspiration for sustainable land use in ecological emigration areas, and propose practical ways for social capital and financial institutions to participate in the land development and promote ecological and economic value balance of emigration areas in the world.

Climate extremes and land use carbon emissions: Insight from the perspective of sustainable land use in the eastern coast of China

The changing land use is one of the primary factors influencing the pattern of carbon sources/sinks, while climate change is a major driver for land use change. With global warming increasing, assessing the impact of climate extremes on land use carbon emissions remains a great challenge. Here, we explored the changes in climate extremes from 1961 to 2020 using the CN05.1 gridded observation dataset. The impact of climate extremes on land use carbon emissions was analyzed by Pearson correlation methodology. The results demonstrated that (1) extreme temperatures were trending upwards, and dry periods were long, but short periods of heavy precipitation were possible from 1961 to 2020. (2) In terms of the extreme temperature indices, the high temperatures indices were positively correlated with land use carbon emissions. For the extreme precipitation indices, the other seven indices except CDD were also positively correlated with land use carbon emissions. (3) Furthermore, the extreme heat indices were positively correlated with land use carbon emissions mainly on construction land. The wetness indices showed a positive correlation with land use carbon emissions in the middle of Shandong Province. (4) Additionally, the influence of extreme temperatures on land use carbon emissions in Shandong Province was larger than of extreme precipitation. Among all the extreme climate indices, TN10p had the largest effect on land use carbon emissions and was significantly negatively correlated. These findings will provide scientific references for regional responses to climate change and the promotion of carbon emission reduction.

Machine learning predictions for carbon monoxide levels in urban environments

The increasing carbon emissions in Malaysia necessitate accurate methods to track and control pollution levels. This study focuses on predicting carbon monoxide (CO) concentrations in Petaling Jaya using various machine learning models, and two important parameters, CO concentration and time, were considered in the analysis. Six distinct machine learning models were assessed to gauge their predictive capabilities. These models encompassed a range of regression modeling techniques namely; Linear, Tree, Gaussian Process, Ensemble of Trees, Support Vector, and Artificial Neural Networks (ANN) modelling. The Matern 5/2 Gaussian Process Regression (GPR) model consistently outperformed other models across all scenarios, demonstrating high R2 values and low RMSE, MSE, and MAE values. Specifically, in scenarios 1, 2, 3, and 4, the Matern 5/2 model exhibited the lowest RMSE (0.084–0.088) and highest R2 (0.97), highlighting its reliability and robustness in predicting CO concentrations. Additionally, the Rational Quadratic model achieved an R2 of 0.97 with an RMSE of 0.088 in scenario 1, while the Quadratic SVM excelled in scenario 3 with an R2 of 0.965 and low RMSE, MSE, and MAE values (0.085, 0.007, and 0.066). These findings provide valuable insights for environmental protection, renewable energy transition, energy efficiency, sustainable land use planning, and public awareness. However, acknowledging the study's single-area focus and potential limitations in representing diverse regions, further research is warranted to explore carbon emissions across varied areas and enhance the generalizability of the findings.

INTERNATIONAL PRACTICE AND STANDARDS OF LAND VALUATION AND THEIR IMPACT ON THE LAND PLOTS MARKET PRICE

The article analyses international practices and land valuation standards, highlighting their significance in forming market prices for land plots. The authors consider the importance of harmonising national valuation standards with international ones, which will be an essential step toward ensuring transparency, fairness, and efficiency in the land market. The focus is on the impact of internationally recognised standards such as IVS, RICS, and TEGoVA on the land pricing process in different countries. The article discusses in detail the mechanisms through which standardised evaluation methods contribute to increasing the investment attractiveness of land resources, strengthening the confidence of investors and land owners, and improving the legal and economic basis of the land market. The authors emphasise that an adequate assessment of the land that meets international standards is critical for ensuring effective management of land resources, conducting sustainable land use, and preserving the ecological balance. The study reveals the potential advantages and challenges of adopting international assessment standards in Ukraine. In particular, we consider the issues of the need for retraining appraisers, the adaptation of national legislation and regulatory framework, and the potential for increasing transparency and stabilisation of the land market. The article points out the importance of international cooperation and exchange of experience for the successful integration of Ukraine into global market relations, boosting its investment attractiveness and fostering the sustainable development of land resources. The article provides a valuable contribution to understanding the main aspects of international experience in land valuation and its impact on market price formation mechanisms. It calls for further research and discussion of ways to adapt and implement international standards in Ukraine as a necessary prerequisite for developing an open, fair, and efficient land market. The study significantly contributes to the scientific understanding of the harmonisation processes of national approaches to land valuation with international standards and practices, which is relevant in the context of globalisation and market integration. Keywords: international valuation standard, land value, land plot, land cadastre.

Evaluating the spatiotemporal dynamics of ecosystem service values in response to land use/land cover change in Goang watershed, Northwest Ethiopia

Evaluating the impacts of land use/land cover (LULC) change on ecosystem service values (ESVs) is critical for understanding the implications of land use change on human well-being, identifying trade-offs and synergies between different ecosystem services, monitoring changes in ecosystem health, and informing decisions for land use planning and conservation efforts. As a result, this study aimed to examine the effects of these changes on ESVs during the last four decades (1984–2022) and predicted periods of 2040 and 2060 by utilizing a combination of geoinformation, and economic evaluation approaches. The modified ecosystem service value (ESV) coefficients were used to estimate the influence of LULC change on ESVs. The result revealed that overall ESV has declined from US$390 × 106 in 1984 to US$273.21 × 106 in 2060. However, the effects on various ecosystem services varied, with certain services, such as crop production, pollination, and biological control, increasing in value. These findings also emphasized the necessity of evaluating the implications of land use decisions on ecosystem services and it depicted that it may be possible to retain or improve certain services even in the face of overall declines in total ESVs. Subsequently, the findings of this study, therefore, give important insights for policymakers, land managers, and local people for devising appropriate land use policies and land use plans as well as realizing, and implementing sustainable land use practices that ensure the provision of essential ecosystem services for future generations.

Geoinformatics and RUSLE model-based soil erosion assessment in a tropical mountainous area of Chite watershed, Mizoram, India

Soil erosion remains a persistent menace to the sustainability of agriculture and the environment in tropical mountainous regions. Soil erosion assessment is therefore necessary to identify degraded land areas for implementing effective conservation and management strategies. Hence, this study focuses on estimating potential soil erosion and analyzing their spatial patterns in the Chite watershed, situated in the Eastern Himalayas, India, using the Revised Universal Soil Loss Equation (RUSLE) model in Geographic Information System (GIS) platform. Various datasets encompassing remote sensing, ground observations, and laboratory analysis were employed to prepare the model’s input factors. The estimated mean erosion rate of the study area is 6.10 t ha-1 year-1, which produces a total soil loss of about 357580.90 t year-1. Spatial analysis reveals that about 5.79% of the watershed is under a relatively severe erosion category, contributing 70.13% of the total soil loss. Soil erosion appraisal with respect to the land use/ land cover (LULC) indicates a considerable consequence of various anthropogenic activities in the watershed. Higher rates of soil erosion are mainly observed on the bare land, cropland, and settlement areas which are characterized by steep and continuous slopes. The present findings were also validated with previous work undertaken in some comparable regions. This research can serve as a reliable tool towards the development of successful soil conservation measures and for promoting sustainable land use planning in this ecologically sensitive tropical mountainous region.

Dynamics of Population and Land Use towards Sustainable Development in Patna Planning Area

Abstract: This study examines the impact of population growth on the land use pattern of Patna Planning Area, in the context of urban geography. Patna, the capital city of Bihar state in India, has experienced significant population growth over the past few decades, leading to changes in its land use pattern. The objectives of this research include analyzing the historical population growth trends in Patna, identifying the key factors that have contributed to this growth, and assessing its impact on land use. The study takes into account various factors such as residential, industrial, commercial, and agricultural land use, as well as the infrastructural developments associated with population growth. To achieve these objectives, both primary and secondary data sources are utilized. Primary data is collected through surveys, interviews, and observations, while secondary data is obtained from existing literature, government reports, and demographic databases. The findings of this study reveal that the population growth in Patna has led to a changing land use pattern. The expansion of residential areas and the conversion of agricultural land into residential and commercial zones are noted as significant transformations. Additionally, industrial growth has resulted in the emergence of new industrial zones and the conversion of agricultural land into industrial areas in the suburbs. Furthermore, it is observed that population growth has put pressure on infrastructure such as transportation, sewage and water supply systems, leading to the need for their expansion and development. This study highlights the need for urban planning and policies to accommodate the growing population while ensuring sustainable land use.

INVESTMENT SECURITY OF LAND USE IN UKRAINE

Goal. The article is devoted to the organization of state regulation of investment activities in the field of land use. Method. To solve this scientific problem, the structural method and the method of abstract-logical generalization are used. Results. The article reveals the main aspects of state regulation in the field of land use. It was emphasized that a fundamental factor in the development of balanced land use is solving the problem of attracting investments in this area. It is noted that the investment potential of agricultural land should be understood as the possibility of obtaining maximum income in the short or long term from capital investments in the land in order to increase its fertility and ensure sustainable and efficient land use. The methodological principles of GDP formation by types of economic activity (agriculture, forestry, and fishing) are presented. Scientific novelty. The proposed methodological principles will make it possible to increase the efficiency of investing in land resources. Practical significance. The implementation of the proposed methodological principles of GDP formation in the field of land use will make it possible to increase the volume of investments and ensure their optimal distribution.

Environmental Protection Through Sustainable Land Management

Sustainable land planning and successful land use change methods are essential as the world faces rising environmental challenges. This study examines the transformative potential of biomimicry and biophilia in addressing these challenges and the potential of bio-collaboration, bio-utilization, bio-inspiration, biophilic design, and biomimicry in creating a sustainable environment. The argument is that such integration can potentially create creative ways to lessen the effects of human activity on the environment by utilising the knowledge of nature and combining biological system concepts. This study argues that by incorporating the above environmental factors into land planning practises, a holistic and sustainable approach can be achieved, fostering peaceful coexistence between human activities and the natural environment. This will also improve the resilience of urban and rural environments while offering practical solutions for a climate change-conscious world. As the main theoretical contribution, this study synthesizes a theoretical framework in the form of a conceptual structure for understanding, analyzing, and interpreting sustainability by adopting an ecosystem theoretical framework for achieving sustainable land management.
 Keywords: Biophilic Design, Biomimicry, Sustainable Design Strategy, Bio-Collaboration, Biodiversity, Land use Management, Sustainable Land Management, Environmental Protection, Global Climate.