Natural Resource Management Research Articles

IMPLIKASI KARAKTERISTIK BUDAYA MASYARAKAT DALAM PENGELOLAAN HUTAN LINDUNG GUNUNG SIRIMAU KOTA AMBON PROVINSI MALUKU

This study examines the cultural characteristics of communities living around the Sirimau Protected Forest and their impact on sustainable forest management. The surrounding indigenous communities hold a deeply rooted cultural system that includes language, knowledge systems, social organization, technology, livelihoods, and religious beliefs, all of which influence their approach to natural resource management. One of the core elements is local ecological knowledge—an understanding of the forest’s ecosystem, flora, fauna, and geography that has been passed down through generations. Key social structures, such as the roles of local leaders (raja), community councils (saniri), and forest guardians (kewang), play a significant role in ecological stewardship through customary regulations, including the sasi tradition, which restricts forest use during specific periods to prevent overexploitation. The research emphasizes the importance of involving indigenous communities in forest management decision-making processes, which not only supports ecosystem sustainability but also preserves the cultural identity and values of these communities. Findings from this study advocate for community-based forest management approaches that integrate social, economic, and cultural aspects to achieve optimal environmental sustainability.

Seasonal forecasts have sufficient skill to inform some agricultural decisions

Abstract Seasonal forecasts, which look several months into the future, are currently underutilized in active decision-making, particularly for agricultural and natural resource management. This underutilization can be attributed to the absence of forecasts for decision-relevant variables at the required spatiotemporal resolution and at the time when the decisions are made and a perception of poor skill by decision-makers. Addressing these constraints, we quantified the skill of seasonal forecasts in informing two agricultural decisions with differing decision timeframes and influencer variables: (a) whether to apply fertilizer in fall or wait until spring based on expected winter temperatures, and (b) drought response, such as whether to lease water based on expectations of drought. We also looked into how early the forecast can be provided without significant degradation in skill. Currently, drought response decisions are typically formulated in April, utilizing drought forecasts issued in the same month, while fall fertilization decisions are generally made between August and September. There is growing interest among stakeholders in the availability of earlier forecasts to inform these critical choices. We utilized the North American Multi-Model Ensemble (NMME) hindcasts for the time period 1982 - 2020 over the Pacific Northwest US to obtain meteorological variables. Runoff was estimated via simulations of the coupled crop-hydrology VIC-CropSyst model. The skill assessment with the Heidke Skill Score (HSS) yielded promising outcomes in both decisions for the entire Pacific Northwest region. Notably, NMME’s positive skill (median HSS of 30%) in predicting warmer winters identifies years when fertilizer application should be avoided to prevent fertilizer loss through mineralization (and associated costs). Similarly, there is skill in forecasting drought conditions in most irrigated watersheds for up to two months in advance of April, the current decision time. In conclusion, our findings affirm that contrary to the perception of low skill and resulting underutilization, current seasonal forecasts hold the potential to inform at least some key agricultural decisions.

Place-Based Conservation in Coastal and Marine Ecosystems: The Importance of Engagement with Underrepresented Communities

Through the years, research has described the importance of community-based approaches in the management of coastal and marine ecosystems. Coastal and marine issues are multifaceted and require place-specific approaches developed in partnership with vulnerable communities who are impacted by environmental stressors. Place-based conservation, a management approach that focuses on unique, place-specific characteristics, and other similar methods. It considers the need to integrate human dimensions and location-centered approaches, which are often lacking in typical natural resource management. Meaningful engagement with underrepresented communities can holistically account for socioeconomic factors and cultural knowledge that inform best management practices. As the health of marine and coastal ecosystems is linked with environmental quality and local livelihoods, engaging practitioners with knowledge of these systems can support science and trust in environmental management. This article discusses the importance of community-based research, local insight, various examples of successful management, and culturally relevant knowledge to advance sustainable place-based conservation.

The Role of Traditional Ecological Knowledge in Environmental Stewardship: Beyond Poverty and Necessity

The persistence of Traditional Ecological Knowledge (TEK) among indigenous and local communities is often associated with socio-economic constraints, poverty, and lack of choices. Such a perspective argues against underpinning profound environmental consciousness and sustainable practices that underlie TEK. The paper challenges reductionism—viewing TEK solely as a creation of necessity—and tries to argue that it entails a sophisticated understanding of ecological balance and conservation ethics. Through various examples, the paper exemplifies how TEK contributes to environmental sustainability for biodiversity conservation, management and use of natural resources, and the enhancement of resilience to climatic change—the same elements crucial for culture, tradition, and community living.

Agroforestry for Carbon Neutrality: An Effective Pathway to Net Zero

Agroforestry is a promising strategy to achieve carbon neutrality and net zero emission, aiming towards the balance between greenhouse gas emissions and equal amount of carbon removal through sequestration Among several methods of carbon sequestration, agroforestry stands out for its unique ability to simultaneously sequester carbon while reducing greenhouse gas emissions, particularly nitrous oxide (N2O) emissions associated with chemical fertilizer use in conventional agriculture. These systems store carbon through multiple pathways like, in above-ground biomass, below-ground root systems, and enhanced soil organic carbon accumulation while maintaining the agricultural productivity. Acknowledged under the afforestation and reforestation programs of the Kyoto Protocol, agroforestry has attracted interest for its several advantages from both industrialized and developing countries for its multifaceted benefits, including its potential to combat desertification and reduce anthropogenic emissions. Beyond carbon sequestration, it enhances soil fertility, supports biodiversity conservation, and provides economic diversification for farmers through multiple income streams. The role of REDD+ (Reducing Emissions from Deforestation and Forest Degradation) negotiations in extending the Kyoto Protocol's second commitment period has further strengthened agroforestry's position in global climate action, particularly through the development of REDD offset credits in compliance carbon markets. The World Agroforestry Centre defines agroforestry as a dynamic, ecologically based natural resources management system that integrates trees on farms and in the agricultural landscape, diversifying and sustaining production for increased social, economic, and environmental benefits. The Association for Temperate Agroforestry (AFTA) defines it as an intensive land management system that optimizes the benefits from biological interactions created when trees and/or shrubs are deliberately combined with crops and/or other natural resources. This review article critically examines agroforestry's crucial role as an effective pathway toward achieving carbon neutrality and net zero goals, synthesizing current knowledge and future prospects.

Google Earth Engine-based Mangrove Mapping and Change Detections for Sustainable Development in Tien Yen District, Quang Ninh Province, Vietnam

Abstract. Vietnam secures a place among the top countries that possess the largest mangrove areas worldwide. The mangrove forests are mainly found in the Northern, Northeast, Central and Southern Delta, providing goods to habitants, and make significant help mitigate global climate change. Despite this, mangroves are severely threatened because of extensive deforestation in Vietnam. Recent advances have utilized remotely sensed imagery to present the spatial and temporal distribution of mangroves. Nevertheless, the approach is limited by imagery availability and computing resources, and difficult to share within the community. Therefore, a shareable Web-based tool that reinforces coastal managers to monitor the changes in mangroves is needed. Recently, Google Earth Engine (GEE) is a cloud-based geospatial analysis platform, which allows users to freely exploit the availability of satellite imagery and harness their computing capacity. This research aims to use GEE to detect mangrove changes, a case study in Tien Yen district, Quang Ninh, over a period from 2010 to 2020. Four supervised classification algorithms, including Random Forest (RF), Support Vector Machine (SVM), Naïve Bayes classifier, and Classification and Regression Trees (CART) have been implemented on GEE platform to select the best algorithm to produce spatial-temporal mangrove maps, then change detection of mangroves is performed. The results showed that RF demonstrated the highest accuracy with overall accuracy and kappa values of 91.04% and 0.75 respectively. The mangrove areas statistically reported by the GEE-based platform are in line with the governmental statistic report annually, marking the capabilities of GEE in natural resource management.

Designing-in WebGIS Tools for digital learning terrains in Natural Environments

Authentic learning environments (Herrington et al., 2014) have been widely acknowledged in creating engaging, meaningful and deep learning experiences, including for “novice” first-year undergraduate students (Roach et al., 2018). Natural Environments (ENVS10001) is a first-year undergraduate subject (unit) that aims to deliver foundational understanding of earth systems and processes to support studies in agriculture, natural resource management and civil engineering. One main obstacle to facilitating understanding in this domain is the unfamiliar scales of the landscape processes and phenomena (Resnick et al., 2017). Natural Environments has been using the granitic geology dominated landscape of Glenrowan in northeastern Victoria (Australia) as an authentic case study. In this presentation we explain how and why we re-designed authentic learning aligned tutorial interactions by integrating student-driven navigation of WebGIS tools such as Geoscience Australia and NatureKit portal to: (a) enable students to build understanding of how geology, geomorphology and ecology interact to result in the dynamic landscapes in the environment; (b) equip students with fundamental and valuable knowledge and skills in accessing free and publicly available datasets useful in their academic and future professional work; (c) demonstrate the authenticity of the curricular content to establish higher levels of learner engagement. The current learning design where dynamic control and interaction with spatial data is central, is just one iteration in the series of previous designs that moved from non-digital to static-digital resources in the learning environment. Generally, an anchored instruction aligned approach (The Cognition and Technology Group at Vanderbilt, 1990) was adopted. Prior to the tutorial, students attended two one-hour lectures explaining the structure of the earth, plate tectonics, and global-scale structural (volcanic and tectonic) landforms. We wanted students to develop an understanding of how, over “unfamiliar” geological (time) and spatial scales, geomorphological processes operating across different rock types resulting from geological processes (e.g. granite pluton emplacement amongst sedimentary rocks) result in the landscapes observed presently. During the class, with tutors as guides, students worked in groups and learnt how to use the Geoscience Australia portal to explore the Glenrowan region, centered around the Warby Ranges and the surrounding plains. Professional instructional videos developed in collaboration with the University of Melbourne Learning Environments media team were used to demonstrate how to use the portal to find geological and geomorphological information. Students were guided in the use of Google Earth to visualise terrain in pseudo-3D and using elevation transects. The spatial correlation of landform patterns and elements with different surface and subsurface geologies was key to unlocking students’ abilities to explain the “why” and “how” of landscape evolution, albeit at the basic level. Students had mostly positive experiences and learning outcomes shown in the post-subject survey (n = 30; scores of 4.6 to 6.0 for 12 questions on 7-point Likert scale) and comments. Technical issues encountered due to simultaneous class access to the portal, and gaps in explaining specific functionalities and their potential for further understanding, were highlighted. The authors acknowledge the strong support for this work through the University of Melbourne’s FlexAP programme.

Environmental health and human health-unifying strategies, conceptual framework and green prescriptions: a review

The intricate relationship between environmental conditions and human health is increasingly acknowledged as a critical area of public health research. As global challenges such as climate change, urbanization, and biodiversity loss become more pronounced, understanding the connections between these environmental factors and health outcomes is essential for developing effective public health strategies. This analysis delves into the complex interactions that exist between environmental influences and health, emphasizing the urgent need for integrated approaches that simultaneously promote ecological sustainability and enhance community well-being. Environmental degradation has significant implications for human health, with many deaths linked to preventable environmental health risks. These risks encompass a wide range of issues, including air and water pollution, exposure to hazardous substances, and the impacts of climate change, all of which disproportionately affect vulnerable populations. A conceptual framework is proposed to elucidate the multifaceted connections between environmental exposures, health determinants, and health outcomes, enabling a clearer understanding of how these elements interrelate. Cohesive strategies, such as the one health approach, advocate for collaboration across various sectors, including public health, veterinary health, and environmental management, to address the shared challenges of health and environmental degradation. Additionally, the principles of planetary health highlight the interdependence of ecosystems and human well-being, underscoring the need for sustainable management of natural resources to safeguard health outcomes. This article also explores the concept of "green prescriptions," which involve recommending nature-based interventions to enhance physical, mental, and social well-being. These prescriptions have demonstrated effectiveness in promoting health while fostering a sense of environmental stewardship. By synthesizing current evidence and successful case studies, this review emphasizes the significance of adopting a holistic perspective that integrates environmental considerations into healthcare practices. Ultimately, fostering collaboration among various stakeholders will contribute to the development of resilient communities that are better equipped to navigate the intertwined challenges of health and environmental sustainability.

A Systematic Review for The Development of Sustainable Tourism Destinations Based on Sports Tourism

The study purpose: The project's goal is to develop sustainable tourism destinations in Kemuning Village by reviewing the literature on sports tourism Materials and methods: An extensive literature review was carried out. Articles from 2015 to 2024 covered ways to enhance sustainable tourism by fostering the growth of sports tourism. For electronic searches, Google Scholar, PubMed, Web of Science, and Scopus are used. All the articles that discuss how to improve sports tourism-based tourist attractions are included here. Results: According to the integrated theory of tourism, sports have a role in (1) tourism management strategies, which include methods, facilities, tourist attractions, SOPs, infrastructure, additions and maintenance of facilities, sustainable management of natural resources, and visitor security and safety; (2) the role of stakeholders, which includes the government as a regulator and related institutions; and (3) the role of the authorities, which includes government agencies and institutions related to Sports tourism will increase visits to Central Java and improve the economy. Sports activities in tourist destinations can benefit local governments, enhance community welfare, and create more job opportunities if they are appropriately managed. Sports tourism and activities can be combined in Central Java. Conclusions: Combining sporting activities like river tubing, paragliding, tea gardens, and jeep communities with Kemuning Village in Ngargoyoso District, Karanganyar, Central Java, Indonesia, can help the village grow its tourism industry due to the fact that it influences the social, cultural , and economic growth of the area, promoting local advancement.

The Problem of Drought in the Territory of Azerbaijan and Combat Measures

The article considers global and local climate change, and the problems associated with these changes. The increase in drought in the world and in Azerbaijan. The influence of various types of anthropogenic impact on the environment is studied. Measures to reduce their negative consequences are proposed. 52.4% of the total land fund of Azerbaijan is suitable for agriculture. The bulk of the soil is in arid areas (Kura-Araz lowland, including the Salyan, Mil, Mugan, Shirvan and Karabakh plains). Drought is also observed in the foothills of the Lesser Caucasus. Growing crops without irrigation is impossible. Problems arise in irrigating crop areas in dry years. The presence of drought in the summer months and a decrease in water resources negatively affect agriculture. The total water deficit in Azerbaijan in 2020 amounted to more than 0.2 km3. The water deficit may increase to 1.3 km3 in 2030 but may amount to 4-5 km3 in 2050. It is proposed to use current technologies in the country's natural resource management system.

Analysis of Land Use and Land Cover Dynamics in the Highlands of Northern Ethiopia

In the highlands of northern Ethiopia, many land use and land cover changes (LULCC) have occurred during different activities of the populations. Despite its coverage and unwise use of natural resources, these land uses and land covers are facing increasing or decreasing their area coverage. Information derived from land use and land cover change detection is important to land conservation, sustainable development, and management of Natural resources. This purpose of this study is therefore concerned with identifying the change in land use and land cover detection of the Wejic watershed. To identify land cover changes detection; remote sensing data, satellite imagery and image processing techniques had done within two dates of 1998 and 2017 using Land sat TM 30 m resolution images using Arc GIS 10.1. Hence, a field survey was carried out in 2017 to identify the major land cover types in the watershed. Detection Analysis of land use and land cover dynamics were calculated from the selected watershed in Southern Tigray, Northern Ethiopia. These land use types were cultivated, forest, bush, shrub, and homestead lands. Furthermore, a normalized difference vegetation index (NDVI) was developed for both years. The land use and land cover change results indicated that forest, cultivated land, and bush land decreased by 4.4%, 2.2%, and 2.4%, respectively. However, shrub land and homestead increased by 5.5% and 3.6%, respectively. Therefore The change detection analysis using GIS and remote sensing could deliver useful information to understand the seasonal patterns of land use dynamics for planners and decision makers; consequently, sustainable land management planning is possible.

ТРАНСФОРМАЦІЯ СТРУКТУРИ І ЗМІСТУ КУРСУ ГЕОГРАФІЇ ВОСЬМОГО КЛАСУ ДЛЯ ЗАКЛАДІВ ЗАГАЛЬНОЇ СЕРЕДНЬОЇ ОСВІТИ

The article is focused on the analysis of the structure and content of Geography study in the 8th grades of general secondary educational institutions based on the model curriculum, developed by the team under the supervision of S. P. Zapototskyi. According to it, the content block related to the study of the population was removed from the 8th and instead transferred to the 9th grade course. Thus, the content of the course “Geography” in the 8th grade will encompass the following 4 chapters: Chapter I “Cartographic image of Ukraine”, Chapter II “Nature of Ukraine”, Chapter III “Natural Resource Management” and Chapter IV “Space – Territory – State”. Instead of the topic “Ukrainian and World Population” in the 8th grade, the inclusion of which in this course at one time was an unsuccessful experiment, two Chapters were introduced under the names “Natural Resource Management” and “Space – Territory – State”. Chapter “Natural Resource Management” logically completes the study of the nature of our state from the standpoint of the resource approach and perspectives of nature use, and “Space – Territory – State” is a kind of a transitional link to the study of Ukrainian and world social geography in the 9th grade. However, a more detailed analysis of the content of the topics included in the geography course covered in the 8th grade according to the model program offered by S. P. Zapototskyi and others, prompts to draw attention to some debatable issues and to offer author’s vision of improving the content of the educational discipline. The main suggestions concern the preservation of a typical physical and geographical approach to the study of the nature of Ukraine in Chapter II, In topic 1. of section IV. "Ukrainian state" a very important aspect of consideration is the affirmation of the idea that Ukraine is the inheritor of the state tradition of the Slavic tribe of the Ants. Another strength of the program is the project activity to establish the features of the formation of capable territorial communities formed after the decentralization reform. The main narrative to be relayed by topic 2 "Ukraine's place on the political map of the world" is that Ukraine is a sovereign European state, a candidate country for EU membership, which has to defend its independence from Russian aggression in a fair armed struggle. and some clarification of the content in Chapter III “Natural Resource Management”.

Remote Sensing and GIS in Natural Resource Management: Comparing Tools and Emphasizing the Importance of In-Situ Data

Remote sensing (RS) and Geographic Information Systems (GISs) provide significant opportunities for monitoring and managing natural resources across various temporal, spectral, and spatial resolutions. There is a critical need for natural resource managers to understand the expanding capabilities of image sources, analysis techniques, and in situ validation methods. This article reviews key image analysis tools in natural resource management, highlighting their unique strengths across diverse applications such as agriculture, forestry, water resources, soil management, and natural hazard monitoring. Google Earth Engine (GEE), a cloud-based platform introduced in 2010, stands out for its vast geospatial data catalog and scalability, making it ideal for global-scale analysis and algorithm development. ENVI, known for advanced multi- and hyperspectral image processing, excels in vegetation monitoring, environmental analysis, and feature extraction. ERDAS IMAGINE specializes in radar data analysis and LiDAR processing, offering robust classification and terrain analysis capabilities. Global Mapper is recognized for its versatility, supporting over 300 data formats and excelling in 3D visualization and point cloud processing, especially in UAV applications. eCognition leverages object-based image analysis (OBIA) to enhance classification accuracy by grouping pixels into meaningful objects, making it effective in environmental monitoring and urban planning. Lastly, QGIS integrates these remote sensing tools with powerful spatial analysis functions, supporting decision-making in sustainable resource management. Together, these tools when paired with in situ data provide comprehensive solutions for managing and analyzing natural resources across scales.

Institutionalizing co‐production diplomacy in contexts of long‐term epistemological conflict: A case study of cod fisheries governance

AbstractKnowledge co‐production is a collaborative approach to research that seeks to enable transformative societal change and improve outcomes in natural resource management and sustainable development. Instituting knowledge co‐production requires that researchers, decision‐makers, and stakeholders be willing to work together towards shared goals. In the context of fisheries management, co‐production represents a significant departure from the technocratic discourses and governance practices that have characterized decision‐making for decades. Moreover, some fisheries contexts have been plagued by persistent and seemingly intractable epistemological conflicts between stakeholders and decision‐makers. Such situations complicate the implementation of co‐production and raise questions about the extent to which researchers can achieve the aims of co‐production in situations of distrust, amenity, and entrenched positions. We use the case study of Northern Cod, a stock of Atlantic Cod (Gadus morhua) governance in Newfoundland and Labrador, Canada, a case of long‐standing conflict between the regulator, fishers, Indigenous peoples, and industry parties, to explore whether and how co‐production can enable collaborative research leading to “transformative societal change.” We find five factors complicating uptake of co‐production in the governance of Northern Cod: (i) competing perspectives exist regarding the relative worth of different types of knowledge; (ii) links between epistemic preferences and interests; (iii) barriers related to access and inclusion in governance spaces; (iv) barriers related to institutional design; and, (v) conflict‐ridden stakeholder relations. In a context of persistent epistemological conflict and distrust, we propose that knowledge co‐production focus on diplomacy through science with an aim to repair relationships rather than produce new knowledge that can serve as evidence in decision‐making as the primary goal of the co‐production process.

Beyond catching fish: exploring community-based management efforts to restore a Sub-Arctic lake in Norway

Across the world, local communities are actively engaging in management and monitoring of natural resources. The underlying driver of most community-driven efforts goes beyond the utilizations of natural resources to entail a deeper relation to the place or ecosystem they are managing. The aim of this study is to understand what motivates a local volunteer group to spend considerable amount of time and resources to manage and restore a subarctic lake. We used a case study approach combining analysis of documents, participant observation and semi-structured interviews to explore their narrative. The findings show that values, such as care, responsibility, and stewardship, were the primary motivation of this effort and its ultimate goal. The project also promoted relational values like social cohesion, cultural identity, and knowledge-sharing. Despite no longer being essential for subsistence, the lake retains cultural and social significance, highlighting the need to document informal community-based monitoring and management practices for understanding ecological dynamics. The implications include the importance of recognizing relational values in shaping behaviour towards nature for achieving sustainability.

Whose Participation Counts? Towards Technology-Mediated Equitable Futures of Development Work

Participatory approaches may empower community members toward their development; however, structural and identity-based factors may impede participation. It becomes imperative to critically examine the politics, dynamics, and rhetoric of participation in development contexts. We deconstruct the meaning, means, and need for participation by situating our study in the Indian government's growing efforts to digitalize a nationwide scheme implemented to support rural farmers' participation in natural resource management (NRM) to achieve secure employment and build climate change resilience. Capturing the situated essence through field studies that include observations, interviews, and focus groups, we systematically analyze challenges to participation in NRM and uncover the technological gaps affecting its workflow digitalization. We discuss sociotechnical considerations to meaningfully design and integrate digital technologies toward supporting equitable participation in achieving sustainable development.

Automated Water Quality Assessment Using Big Data Analytics

Water is one of the world's most precious resources, essential to life. Industrial waste, agricultural runoff, and urban discharge degrade water, rendering it unfit for consumption. Water quality monitoring and evaluation are more important than ever. Big Data analytics is used to examine water quality utilizing enormous datasets of pH, hardness, solids concentration, chloramine, sulfate, conductivity, organic carbon, trihalomethanes, and turbidity. This work classifies water potability, which is vital for human consumption, using strong machine learning on massive datasets. Classifiers were Random Forest, Gradient Boosting, and Support Vector Machine on 3,276 water bodies. The Random Forest classifier obtained the highest accuracy at 66.77% after significant data preparation and training, followed by Gradient Boosting at 66.01% and SVM at 62.80%. This shows that Big Data analytics and machine learning algorithms can interpret complex water quality data for public health and natural resource management. The Random Forest classifier and SVM in this study accurately calculate water potability. Prediction algorithms consider water cleanliness data and may aid public safety and water resource monitoring.

Mapping of Indigenous Knowledge Research in India: A Review of Growth, Emerging Topics and Future Research Directions based on Scientometric Tools

The study of indigenous knowledge in India has evolved over the years and gained significant importance as a vital area of research. This study aimed to explore the evolution of the research landscape on indigenous knowledge in India over the last twenty years (2003-2022), focusing on growth trends and knowledge mapping through Scientometric tools. The study collected 1,980 data from the Scopus database, indexed between 2003 and 2022. Initially, the analysis focused on measuring the research growth and performance of the key players. Then, the study performed scientific knowledge mapping, visualizing the relationships between different concepts and topics within the field. The findings reveal a significant growth in indigenous knowledge research in India. The study also identified key research themes, including traditional medicine, agriculture, biodiversity conservation, etc. In the early two decades, research was conducted on natural resource management, ethnoveterinary practices, ethnomedicine, biodiversity, tribal communities, and traditional healers, etc. The most recent research topics were COVID-19, sustainability, livelihood, ethnopharmacology, climate change, herbal drugs, etc. Research on medicinal plants and ethnobotany was the most influential in the last two decades. Furthermore, the study revealed a highly interconnected network of authors and institutions, with a few key players dominating the field. The study concludes by highlighting the need for further research on indigenous knowledge in India, particularly in areas such as intellectual property rights, geographical identification, preservation, and the role of indigenous knowledge in sustainable development.

Recent innovations in land capability classification for sustainable development: a brief overview.

Land is a finite resource that must be managed wisely to ensure its sustainability. Consequently, land evaluation has become essential. Identifying and utilizing productive capacity of land efficiently and profitably is crucial; otherwise, resource degradation can severely impact natural ecosystems and food production. Over the years, various methodologies have been employed to assess land resources, and one such method is the Land Capability Classification (LCC). LCC is a widely used and fundamental approach to land-use planning, traditionally assessing land based on its intrinsic qualities and climate. This study aims to highlight new approaches and developments in land evaluation techniques. It provides a brief overview of recent technological and scientific advancements integrated into land evaluation. The findings suggest that LCC alone is inadequate for precise land assessment, emphasizing the need to integrate new technologies. Remote Sensing (RS) and Geographic Information System (GIS) technologies are becoming increasingly significant. Integrating various software, decision-making systems, and mathematical models can also enhance the accuracy of land assessment results. The continuous advancement of GIS and remote sensing technologies is paving the way for new tools to facilitate natural resource mapping, appraisal, surveillance, and management. Utilizing these technologies for future projections will be highly beneficial in accurately assessing the long-term impacts of current land management practices.

Correction: Global analysis of social learning’s archetypes in natural resource management: understanding pathways of co-creation of knowledge

Correction: Global analysis of social learning’s archetypes in natural resource management: understanding pathways of co-creation of knowledge