Effective Natural Resource Management Research Articles

Land Use Change Mapping and Analysis Using Remote Sensing and GIS: A Case Study in Tam Ky City, Quang Nam Province, Vietnam

Changes in land use/land cover (LULC) play a critical role in effective natural resource management, monitoring, and development, particularly within the realm of urban planning. In the examination of Tam Ky city, Quang Nam province, Vietnam, spanning from 2000 to 2020, remote sensing and Geographic Information System (GIS) techniques were employed. The Landsat satellite data (Landsat 7 ETM+ for 2000, Landsat 5 TM for 2010, and Landsat 8 OLI for 2022) underwent analysis using the supervised classification method in ArcGIS 10.8 software to identify and categorize six primary LULC classes: water bodies, agriculture, settlements, vegetation, construction, and bare soil/rocks. The reliability of the classification was evaluated through k values, revealing high accuracy with values of 0.951, 0.953, and 0.950 for the years 2000, 2010, and 2020, respectively. Notable shifts in LULC were observed during the period from 2000 to 2020. The areas covered by vegetation and settlements expanded by 53 and 1300 ha, respectively, while water bodies, agriculture, construction, and bare soil/rocks experienced reductions of 466, 48, 413, and 425 ha, respectively. To facilitate a rapid assessment, the study also incorporated the normalized difference vegetation index (NDVI) and normalized difference built-up index (NDBI). The trends identified in this study are consistently aligned with the results of the supervised classification. The identified changes in LULC pose a substantial environmental threat, and the study's outcomes serve as a valuable asset for future land use planning and management in the area. The method's high accuracy enhances the dependability of the results, making them crucial for well-informed decision-making and sustainable development initiatives.

Incorporating Islamic Environmentalism in Approaches to Conservation in the Trans-Himalaya

Conservationists increasingly acknowledge the value of co-productive conservation efforts that incorporate the Indigenous perspective. In the Trans-Himalayan context, they have begun to incorporate the Buddhist perspective in recent interventions; yet, there is an omission of Islamic environmentalism in these conversations. This omission is even more glaring when one considers that Muslims make up a significant percentage of the Indigenous population of the Trans-Himalaya. A review of the literature reveals a considerable body of Islamic scholarship on sustainable resource management in extremely harsh climates. In fact, co-productive conservation efforts in collaboration with local Muslim communities elsewhere in the world have been very impactful. While scholarship on the history of Islam in the Trans-Himalaya is limited, historians agree that, rather than being forced upon a passive Indigenous population, the widespread adoption of Islam was an active choice by a population that had plenty of exposure to different ideas and belief systems via trade. Supplementing these findings with qualitative research at the grassroots level among the Dard-Shin Scheduled Tribe in the Trans-Himalaya, the authors find further evidence of the syncretic blending of Indigenous and Islamic beliefs, deployed in service of effective natural resource management. It is, thus, proposed that future conservation efforts in this region would be well advised to adopt a more expansive approach to the Indigenous perspective.

The status and future of essential geodiversity variables.

Rapid environmental change, natural resource overconsumption and increasing concerns about ecological sustainability have led to the development of 'Essential Variables' (EVs). EVs are harmonized data products to inform policy and to enable effective management of natural resources by monitoring global changes. Recent years have seen the instigation of new EVs beyond those established for climate, oceans and biodiversity (ECVs, EOVs and EBVs), including Essential Geodiversity Variables (EGVs). EGVs aim to consistently quantify and monitor heterogeneity of Earth-surface and subsurface abiotic features, including geology, geomorphology, hydrology and pedology. Here we assess the status and future development of EGVs to better incorporate geodiversity into policy and sustainable management of natural resources. Getting EGVs operational requires better consensus on defining geodiversity, investments into a governance structure and open platform for curating the development of EGVs, advances in harmonizing in situ measurements and linking heterogeneous databases, and development of open and accessible computational workflows for global digital mapping using machine-learning techniques. Cross-disciplinary collaboration and partnerships with governmental and private organizations are needed to ensure the successful development and uptake of EGVs across science and policy. This article is part of the Theo Murphy meeting issue 'Geodiversity for science and society'.

Prioritization of Milli Watershed of Kodar River Catchment Based on Integrated Approach of Morphometric and Land Use Land Cover Analysis

Watershed prioritisation is now important for effective natural resource planning and management in sustainable development, however, their implementation necessitates a careful examination of the morphometric and hydrological characteristics existing in the watershed. In the present study an attempts has been made to prioritize the Kantori nala milli watersheds of the Kodar river catchment using integrated approach of morphometric features and land use/landcover. Study area watershed was automatically delineated and divided into eleven micro watersheds Micro Watershed-1 to Micro Watershed-11 (MWS-1 to MWS-11) on the basis of topography from the Depression less DEM) prepared by Inverse Distance Weighted (IDW) interpolation technique. Morphometric analysis was done using DEM and each parameter has been assigned their ranks according to their value. Thereafter, an average value of the rank score for each of the micro watershed is calculated. The micro watershed with the lowest compound factor (Cp) was given the highest prioritized rank out of the group of micro watersheds, and vice versa. Land Use Land Cover (LULC) analysis was also done using sentinel 2 satellite data. The result from the priority ranking of morphometric analysis shows that MWS 7 is having high priority ranking while MWS 8 is having low priority ranking, while the results of the LULC analysis-based prioritizing showed that the micro watersheds MWS 10 and MWS 5 micro  watersheds are of are of highest and lowest priority respectively. It is observed that upon integration of morphometric and land use/ land cover compound factor values information, MWS 3 and MWS 10 found to receive common priority falls under the highest priority, though MWS 6 and MWS 8 falls under the lowest priority ranking. The results of the study can be employed for identifying the sub-watersheds that require immediate restoration and ultimately help in managing watershed resources for sustainable development.

The Economic Consequences of Deforestation in the Amazon Basin on Brazil’s Agricultural Sector and Biodiversity: A Comparative Analysis of Pre and Post-2000 Policy Interventions

Deforestation in the Amazon Basin presents significant economic and environmental challenges, particularly impacting Brazil’s agricultural sector and the region’s rich biodiversity. This paper conducts a comprehensive analysis of the long-term economic impacts of deforestation, with a dual focus on agricultural productivity and biodiversity conservation. Utilizing a comparative approach, the study evaluates the efficacy of various policy interventions implemented before and after the year 2000, aiming to discern their roles in addressing the multifaceted consequences of deforestation. The methodology combines quantitative analysis of deforestation rates, agricultural output data, and biodiversity indices with qualitative assessments of policy frameworks and their enforcement mechanisms. This multidisciplinary approach enables a nuanced understanding of the complex interplay between environmental policies, agricultural practices, and ecological outcomes in the Amazon Basin. Initial findings indicate that policies enacted after 2000, including the Action Plan for the Prevention and Control of Deforestation in the Legal Amazon (PPCDAm), have made noticeable strides in curbing deforestation rates. These policy measures, characterized by enhanced regulatory frameworks, stricter enforcement, and incentives for sustainable land use, have shown potential in mitigating the adverse effects of deforestation. The analysis reveals that reduced deforestation has positive implications for agricultural sustainability, enhancing land use efficiency and supporting the transition towards more sustainable farming practices. Furthermore, the conservation of biodiversity, essential for maintaining ecosystem services crucial to agriculture and human well-being, has seen marked improvement. Despite these positive trends, the paper identifies ongoing challenges in fully realizing the economic benefits of reduced deforestation, including the need for continued investment in sustainable agriculture and the strengthening of policy frameworks to support biodiversity conservation. The study underscores the critical importance of integrated policy approaches that address the economic drivers of deforestation while promoting ecological sustainability. The findings of this paper contribute to the broader discourse on environmental economics and policy-making, offering insights into the effective management of natural resources. By highlighting the significant role of post-2000 policies in enhancing the economic and environmental resilience of the Amazon Basin, the study provides a foundation for future research and policy development aimed at achieving balanced and sustainable development in the region.

Ecological analysis of higher aquatic and semi-aquatic plants of Lake Alakol

From an ecological perspective, the study of biological diversity is a key element for maintaining the sustainability of ecosystems and for developing and implementing effective conservation and natural resource management strategies. Lake Alakol, a slightly saline, endorheic lake in Kazakhstan, is a unique natural object with rich biodiversity. According to research results, diversity indices such as Simpson (0.99), Shannon (3.48), Margalef (0.78), have similar values, which indicates a sufficient variety of macrophytes. Four ecological groups were identified, with a significant number being hygrophytes (Hg) - 30 species and hygromesophytes (HgM) - 26 species. The hydrophytic index of Lake Alakol was 0.7, which indicates the sustainability of the aquatic flora and a high proportion of true aquatic plants. Among the life forms, perennials (75 species) and annuals (16 species) predominate, which is explained by the morphological and anatomical characteristics of aquatic plants and determines their adaptation to the aquatic environment. Thus, ecological study of macrophytes of Lake Alakol can offer important data for devising successful management and conservation strategies for water basins and their surrounding environment.

The effectiveness of post-mining land rehabilitation policy in realizing environmental sustainability: Lessons from Sukageuri View, Kuningan, West Java

The effective management of natural resources is critical in achieving environmental sustainability, and it requires a careful balance of ecological and economic interests. Therefore, this study analyzed the effectiveness of village government policy in managing post-mining land for environmental sustainability using a non-doctrinal legal approach. Primary data were collected through interviews and observations, while secondary data came from regulations, scientific journals, and papers related to post-mining land rehabilitation governance. The study was conducted in Sukageuri View, Kuningan Regency. The study found that the policy implemented by the Cisantana Village Government in managing post-mining land through the establishment of the Village-Owned Enterprise (VOE) in 2016 has been effective. The area, formerly known as Sukageuri View, is home to various flora and fauna species, with several businesses operating and over 114,000 visitors engaging in social activities in 2022. Additionally, the site has contributed to the village's original income and supported the work program of the Cisantana Village Government. In conclusion, the policy implemented by the Cisantana Village Government effectively balances ecological, social, and economic factors, meeting the criteria for environmental sustainability.

The threshold effect of export sophistication on natural resources-trade diversification nexus

This study is an investigation into the influence of export sophistication on the complex nonlinear relationship between natural resources and trade diversification. It aims to explore if export sophistication’s threshold value affects the relationship between natural resources and trade diversification. A panel data of 106 nations was collected for the period of 2000–2018. This study develops its dynamic panel threshold model estimated with the difference GMM model. Our results reveal that natural resources and trade diversification have an inverse U-shaped relationship which is mediated by export sophistication. It implies that abundant natural resources, which give access to various markets, might assist trade diversification in nations with low export sophistication. However, in highly developed economies, resource wealth may prevent trade diversification since horizontal specialization patterns result in high prices, restricting market accessibility. The results of the study also explain the complex interactions between resources abundance, export sophistication, and trade diversification and offer critical insights for effective management of natural resources in emerging and industrialized economies. The study confirms the “resource curse” and the Dutch Disease effect, which demonstrates the means to deal with economic issues through the export sophistication. The research makes useful contribution to the existing literature on economic development and resource management by adding the dynamic threshold model and enhancing the robustness to the existing understanding on the issue.

The impact of oil and natural gas trading and globalization on natural resources management in China

The Pandemic outbreak strike global economy like a hurricane. Every single area was hit by COVID-19 including energy market and sector. This major hit not only affected energy prices, investments and demand-supply but also energy other sectors such as oil and gas. Besides, the consistent increase in population growth and surging global economic activities created a huge demand-supply gap in natural resources. On this backdrop, the present study intends to investigates the impact of oil and natural gas trading and globalization on natural resources management in China in the time span of 1985–2021. The researchers check the linkages among oil and natural gas trading, globalization and natural resources management using the dynamic autoregressive distributed lag (DARDL) approach. The outcomes revealed that oil and natural gas trading, globalization, EG, industrialization and inflation have a positive linkage with natural resources management in China. Based on the results, it is suggested that in order to reap greater benefits from natural resources, practitioners are asked to shed light on the need of globalization and human capital development as this way effective natural resources management can be ensured. The study also implies that oil and gas industry is obliged to follow change before its starts loosing energy market share.

Greening the knowledge-based economies: Harnessing natural resources and innovation in information and communication technologies for green growth

The quest for green growth through the sustainable use of natural resources (NRs) and innovation in information and communication technologies (IICTs) has gained the utmost significance in the modern era, and the knowledge-based economies (KBEs) have been at the leading edge of embracing sustainable methods for accomplishing sustainable development objectives. However, the relationship between NRs, IICTs, and green growth remain unexplored. This study evaluates the impact of IICTs and NRs, alongside other key factors such as contractionary export policy (CEP), expansionary export policy (EEP), fossil fuels consumption (FFC), the labor force (LF), and gross fixed capital formation (GFCF) on green growth. Findings confirm that IICTs, NRs, GFCF, LF, and EEP positively affect green growth. The current research employs Slope homogeneity test, cross-sectional dependency test, Westerlund and Edgerton cointegration test, and cross-sectional augmented autoregressive distributed lag estimator to achieve the study's objective. These results highlight the significance of integrating environmentally conscious procedures and relying on technological advances within the information and communication technology sector to promote green development and ecological integrity. In addition, the study indicates that a growing reliance on FFC and the implementation of CEP harm green growth, underscoring the necessity of moving to renewable energy sources and promoting favorable trade policies. This study suggests that policymakers should emphasize IICTs, effective NRs management, GFCF, labor skills, EEP, and the transition to greener energy. Moreover, they should incorporate ecological factors in their trade practices to reconcile economic growth with sustainability goals.

Entrepreneurship strategy, natural resources management and sustainable performance: A study of an emerging market

Effective management of natural resources assists businesses in mitigating risks associated with resource scarcity, environmental regulations, and varying stakeholder expectations. Organizations can increase their resilience to supply chain disruptions, regulatory changes, and reputational risks by diversifying resource inputs, employing sustainable sourcing practices, and developing contingency plans. Although entrepreneurship strategies have the potential to play a vital role in the management of natural resources since they may stimulate innovation and responsible practices, However, no study in the past has explored the role of entrepreneurship strategy and natural resource management in the sustainable performance of industrial organizations, specifically the mining industry in China. Similarly, the aim of this study is to explore the role of entrepreneurship strategy and natural resources management (extraction and utilization, conservation and prevention, water, and land resources management) towards sustainable performance. For data collection, a survey was designed and administered during January–March 2023. Using survey-based primary data, the in-depth analysis was performed using the structural equation modeling technique. The findings revealed that entrepreneurship strategies hold a promising role in the management of natural resources. Whereas the direct relationship between entrepreneurship strategy and sustainable performance is insignificant. Natural resources management (extraction and utilization, conservation and prevention, water, and land resources management) fully mediates the relationship between entrepreneurship strategy and sustainable performance. The study holds promising implications for managerial decision-making regarding effective resource management.

Automated Mapping of Cropland Boundaries Using Deep Neural Networks

Accurately identifying the boundaries of agricultural land is critical to the effective management of its resources. This includes the determination of property and land rights, the prevention of non-agricultural activities on agricultural land, and the effective management of natural resources. There are various methods for accurate boundary detection, including traditional measurement methods and remote sensing, and the choice of the best method depends on specific objectives and conditions. This paper proposes the use of convolutional neural networks (CNNs) as an efficient and effective tool for the automatic recognition of agricultural land boundaries. The objective of this research paper is to develop an automated method for the recognition of agricultural land boundaries using deep neural networks and Sentinel 2 multispectral imagery. The Buinsky district of the Republic of Tatarstan, Russia, which is known to be an agricultural region, was chosen for this study because of the importance of the accurate detection of its agricultural land boundaries. Linknet, a deep neural network architecture with skip connections between encoder and decoder, was used for semantic segmentation to extract arable land boundaries, and transfer learning using a pre-trained EfficientNetB3 model was used to improve performance. The Linknet + EfficientNetB3 combination for semantic segmentation achieved an accuracy of 86.3% and an f1 measure of 0.924 on the validation sample. The results showed a high degree of agreement between the predicted field boundaries and the expert-validated boundaries. According to the results, the advantages of the method include its speed, scalability, and ability to detect patterns outside the study area. It is planned to improve the method by using different neural network architectures and prior recognized land use classes.

Modeling of land use/land cover dynamics using artificial neural network and cellular automata Markov chain algorithms in Goang watershed, Ethiopia

Land Use/Land Cover (LULC) change has inhibited sustainable development for the last millennia by affecting climate, biological cycles, and ecosystem services and functions. In this regard, understanding the historical and future patterns of LULC change plays a crucial role in implementing effective natural resource management. This study aimed to model and characterize the spatiotemporal trajectories of landscape change between the 1984 and 2060 periods. The satellite image spectral information was segmented into seven LULC classes using a hybrid approach of image spectral recognition. The supervised classification technique of Support Vector Machine (SVM) was used to classify the satellite images, whilst the Land Change Modeler (LCM) Module in TerrSet software was used to assess the historical trend and future simulation of LULC dynamics. To predict future landscape changes, transition potential maps were generated using a Multi-layer Perceptron (MLP) neural network algorithm. The findings of the study demonstrated that the Goang Watershed has experienced significant LULC change since 1984. During the 1984–2001, 2001–2022, and 1984–2022 periods, farmland showed a dramatic increasing trend with 7.5 km2/yr−1, 110.3 km2/yr−1, and 64.3 km2/yr−1, respectively. A similar trend was also observed in built-up areas with 0.5 km2/yr−1, 3.2 km2/yr−1, and 2 km2/yr−1. The expansion of farmland and built-up area was at the expense of forest, shrubland, and grasslands. With a business-as-usual scenario, the extent of farmland will continue to increase between 2022 and 2060 while rapid reduction is expected by forest, shrubland, and grasslands. The alarming rate of farmland and built-up area expansion will put significant pressure on biodiversity and ecosystem services in the area. As a result, eco-friendly conservation approaches should be implemented as soon as possible to maintain ecosystem health and encourage sustainable development.

Joint impact of technological innovation and energy consumption on natural resource management: Evidence from the Asian developing region

The region's natural resources have been significantly depleted due to the accelerating speed of technological development and rising energy demand. Investigating the connection between these variables and how they affect natural resource management is vital. The combined effects of energy consumption and technological innovation on the management of natural resources in the growing Asian area are examined in this research. The research uses the panel and ARDL models to analyse the data gathered from emerging Asian nations between 2000 and 2020 to achieve this goal. The panel model enables the analysis of the individual and collective impacts of energy use and technological advancement on managing natural resources. The long‐term link between these factors is investigated using the ARDL model. The findings show that the management of natural resources is significantly impacted by both technical innovation and energy use. The panel model's findings indicate that although energy consumption has a detrimental influence on natural resource management, technological innovation has a favourable impact. Additionally, the outcomes of the ARDL model demonstrate that these factors have a long‐term association. The research also reveals that technological innovation's impact on managing natural resources becomes increasingly apparent with time. The study's main finding is that effective natural resource management requires politicians in the growing Asian area to implement sustainable development methods that encourage technological innovation and cut energy use.

THEORETICAL AND LEGISLATIVE ASPECTS OF THE CONCEPT OF CLIMATE PROTECTION

This article discusses the theoretical problems of the concept of climate protection, the ecological state of climate protection. The main attention is paid to the analysis of the basics of defining the concept of climate protection as an object of relations in the field of legal environmental protection, as well as the study of its legal properties that determine the features of regulatory regulation of this sphere of public relations. Climate is a condition in which a legal analysis of weather (atmospheric) conditions of a long-term period characteristic of a particular region is carried out. In addition, it can be said that at present the word "climate", mainly from the category of natural science, has become part of the active lexicon of man, has become a widespread and widespread word, has acquired various meanings. For the main purposes of this article, it seems necessary to determine the completeness of the concept of "climate" in its primary, natural-scientific application, to study the established generally accepted concept of climate and how the concept of "climate" is used in legal science, what content it receives within the framework of legal regulation. Climate protection is the main branch of effective management of natural resources. Climate protection is the basis for combating air pollution. The air will contribute to the spread of other diseases on the health of society. The State Climate Cadastre is a legal analysis of a systematized data set based on meteorological information about air temperature, cloud cover, and the totality of atmospheric conditions.

Role of financial performance and natural resources development on economic recovery: Empirical evidence from an Asian perspective

The COVID-19 pandemic has had a significant impact on the world economy, with many countries struggling to recover and seeing a decline in economic activity. This study examines the effects of economic risk, renewable energy, and technological advancement, as well as the relationship between natural resources and the performances of Asian economies from 1990 to 2020. The data were analyzed using the second-generation unit root test, and panel regression analysis demonstrates that the economies under study greatly profit from having access to natural resources. Economic growth is fueled by technological advancements and renewable energy sources, and as one moves up the quantile scale, more environmental resources and sustainable power are being used. Based on the dynamic ordinary least squares report, it was determined that the empirical results were trustworthy. The study emphasizes the significance of effective management of renewable energy sources and natural resources to guarantee ongoing economic growth.

Legal Politics toward Natural Energy: Natural Gas Utilization in Indonesia

Indonesia is abundantly blessed with natural resources, including energy, among which natural gas holds a significant position. As of 2017, global demand for natural gas accounted for 23.4% of the total global primary energy demand. The substantial demand for natural gas can be attributed to its reputation as a clean and efficient energy source compared to fossil fuels. Natural gas possesses the potential to become a vital component of the energy mix, driving economic growth. Consequently, effective management of natural gas resources is essential to harness the full potential of oil and gas reserves in Indonesia, thereby maximizing benefits for the well-being of the population. In pursuit of this objective, the Indonesian government has implemented various regulations to provide a legal framework for natural gas management.

Do international trade diversification, intellectual capital, and renewable energy transition ensure effective natural resources management in BRICST region

Brazil, the Russian Federation, India, China, South Africa, and Turkey, collectively known as BRICST experienced rapid economic growth in recent years. A third of the world's material is mined to provide these nations' material needs. A lack of effective resource management results in the depletion of natural resources and the emergence of environmental consequences. Therefore, identifying the key drivers that stimulate effective resource management is crucial. This study draws an asymmetric association between trade diversification, intellectual capital, renewable energy transition, and material footprint in BRICST countries from 1990 to 2019. It applies Method of Moments Quantile Regression” (MMQR) to inspect the quantile-based association between variables due to possible non-normality in data. The outcome MMQR illustrates the negative and significant coefficients of trade diversification, intellectual capital, and renewable energy transition at all quantiles (0.1–0.9). It implies that trade baskets with less specialized products increases material footprint, while human capital and transforming energy resources from fossil fuels to renewable energy support sustainable resource management. Similar results are endorsed using other panel estimators and helps in formulating policies to improve progress toward SDG goals 8.4 and 12.2.

Community based extension approaches for sustainable production of rice

Rice plays very important role in food and nutritional security in the developing world. Although India is the second largest producer (113 mt) next to China with 44 mha area under rice, its average yield (~2.6 t/ha) is far below both that of China (>6 t/ha) and the global average of ~4 t/ha. Hence, along with genetic enhancement and advance crop protective measures, innovative extension approaches with agro-ecological importance, geo-political, socio-economic can support to improve the rice productivity levels with climate resilience and effective natural resources management perspectives. Moreover, the agricultural extension paradigm shift from National demonstration in 1960's to Training and visit system in 1970's to pluralistic extension approaches in 1990's has enhanced the rice production from 34.5 million tonnes in 1960-1961 to 117.5 million tonnes in 2020-2021. Still there is a huge potential to transform the rice production systems of the country through adoption of bottom-up innovative extension approaches with information and communication connectivity. Approaches like social learning, community engagement and ICT support have proven effective in dissemination and adoption of improved varieties and practices of paddy cultivation.

An imperative role of 6G communication with perspective of industry 4.0: Challenges and research directions

The united nations have set a target of meeting sustainability by 2030 in terms of social, economic, and environmental. Digitalization has proven to be a significant approach to meeting the goal of sustainability. Along with digitalization and Industry 4.0, it was also stated that 6G communication is beneficial for lowering carbon emissions, effective management of natural resources, etc. Based on this motivation, this is the first study to attempt to present the significance of 6G communication from the perspective of Industry 4.0. The fundamental technologies of 6G wireless communications at the physical layer are emphasized, and also discussed enabling technologies of Industry 4.0 for 6G communication in detail. The recommendations and challenges are discussed for future directions. 6G for low earth orbit (LEO) communication and data center operations for 6G network nodes, and 6G network with aerial computing are the recommendation presented in the study. The novelty of study is, it integrates and discussed the sustainability aspect, the vision of the 6G network with fundamental technologies, and Industry 4.0 in detailed. The recommendations and challenges presented in the study motivate the researchers to carry out the study for future research in implementing 6G communication for achieving sustainability with industry 4.0.