Land Degradation Neutrality Research Articles

Are Neutrality Targets Alone Sufficient for Protecting Nature? Learning From Land Cover Change and Land Degradation Neutrality Targets in Mauritius

ABSTRACTLand degradation contributes to loss of land productivity, climate change, and biodiversity loss worldwide, making the monitoring of land cover change a fundamental component of sustainable land use planning. To facilitate this task, international research organizations publish increasingly high‐quality global land cover data, yet those are still proving too imprecise at the scale of Small Island Developing States (SIDS) such as Mauritius. Though rapidly developing, Mauritius does not have a locally produced land cover map which is consistently updated and made available to the public in the scope of participatory planning processes. This study sought to bridge this gap by revising a 2010 land cover map of Mauritius island and producing a new map for 2020, which can serve as a basis for future updates through a consistent methodology that combines photointerpretation and semi‐automated classification from various datasets. These maps enabled the observation of key changes in the island's landscape, which are consistent with socio‐economic events, namely the decline of agricultural coverage (12.7%) due to the phasing out of preferential trade agreements for sugar, and the expansion of real estate (14.3% increase in built area) following new investment promotion policies. Considering the small size and high population density of the island, as is the case for SIDS, these developments and the Land Degradation Neutrality Targets of Mauritius bring the feasibility of area‐based land degradation neutrality into question and call for the analysis of land and ecosystem conditions through additional indicators.

Achieving land degradation neutrality: land-use planning and ecosystem approach

IntroductionThe research purpose is to scientifically substantiate an integrated approach to solving the problem of land degradation, based on the idea of land degradation neutrality (LDN), taking into account ecosystem services when planning land use to maximize the conservation of natural capital. The methodological basis of the research is the provisions and principles of the concepts of sustainable development, achieving LDN, and ecosystem services, as well as the research results revealing various aspects of land use, particularly their degradation.MethodsThe following research methods are used in the paper: dialectical – to determine the cause-and-effect conditions of land degradation; analysis – to highlight the current state of land use in Ukraine and the factors that have led to land degradation; synthesis – for global trends towards achieving LDN; deduction – to explore the possibility of introducing global experience in achieving LDN in Ukraine; structural-functional analysis – to substantiate the feasibility of introducing an ecosystem approach to land-use planning to achieve LDN.ResultsAs a result of the research, the current land degradation state in Ukraine has been analyzed, and ways of achieving LDN in land-use planning through the prism of an ecosystem approach have been substantiated. Based on statistical data, the current and potential levels of arability of the territory of Ukraine have been calculated by natural-climatic zones, and the areas of eroded arable lands in Ukraine have been determined by the erodibility factor (low-eroded, mediumeroded,and highly-eroded).DiscussionFor the first time, a structural-logical scheme has been developed for organizational-economic support for the effective use of degraded and low-productive agricultural lands in the context of implementing the idea of LDN, which is a tool for rational allocation and use of degraded lands. This scheme can serve as a basis for the development of land-use planning strategies for territorial communities, for institutions, and organizations competent in the field of land management.

Climate Change and Human Activities: Their Roles in Shaping Land Productivity in Northern Nigeria

ABSTRACTThe Northern Nigeria Region (NNR) has historically suffered from land productivity changes due to anthropogenic and climatic factors. The development of methodologies that can evaluate these changes at the pixel level and spatialize the effects of driving factors is a key requisite to provide targeted solutions for land degradation, in a country with population growth and desert advancement. In this study, we applied MODIS series data to assess land productivity changes in the NNR (2001–2021) using NDVI trend analysis. We also used correlation and RESTREND analyses to discriminate between climate and human factors and map their effects. The results indicated that approximately 30.7% of the NNR showed land degradation, whereas 27.1% showed an increase in land productivity. There was a clear spatial pattern, with increasing productivity closer to the northern Nigeria boundary with Niger, and decreasing productivity concentrated in the central and southern parts of the NNR. Anthropogenic factors had a greater impact on land degradation and improvement, compared with rainfall. The climate forcing contributed most to land productivity in the northeastern part of the NNR. Land degradation is mainly associated with overgrazing and unsustainable agricultural practices, which lead to decreasing productivity of grasslands and crops. On the other hand, human influence on improvements involves land abandonment and recovery programs. These results can be used to planning initiatives to better integrate food production with environmental protection in the NNR, contributing to policies to Nigeria achieving land degradation neutrality as soon as possible.

Treatment effects of conservation trenching on regulating and provisioning ecosystem services

United Nation Sustainable Development Goal 15.3 make a note of growing significance of management and restoration strategies for degraded land, and advocating globally for collaborative frameworks of innovative applied research and policy. Present study, quantified the impacts of the staggered contour trenching (SCT) technology in conjunction with silvi-pasture production system on regulating and provisioning ecosystem services of degraded mini-watersheds. Impacts of the SCT on hydrologic regulating ecosystem services were quantified by employing the paired watershed approach. Concept of watersheds with and without treatments was employed for computing non-hydrologic regulating and provisioning ecosystem services of the SCT in conjunction with silvi-pasture system. Results of analyses revealed that the SCT density of 505 trenches ha−1 had the highest reduction in the hydrologic regulating services namely, mean annual runoff event, runoff amount and soil loss, which were 35.5, 63.3, and 3.73%, respectively followed by 378, and 186 trenches ha−1. The highest improvement in the effective rainfall (9.9%) and effective rainfall efficiency (15.0%) was also with 505 trenches ha−1. The SCT density of 505 trenches ha−1 had retained silt 23.1 and 1.2 times higher than that of 378 and 186 trenches ha−1. The values of the post-treatment non-hydrologic regulating services of 505 trenches ha−1 were many folds higher compare to other trenching densities. Improvement in the non-hydrologic regulating services of the available -nitrogen, -potash and -potassium, and soil organic carbon values of the post-treatment of 505 trenches ha−1 were 36.7, 44.2, 25.8, and 25.0% than their pre-treatment values, respectively. Provisioning ecosystem services in term of the yields of the wood biomass of the Acacia nilotica and the Cenchrus ciliaris were the highest with 505 trenches ha−1 than the control (no trench) by 166.2 and 21.5%, respectively. Study indicated that 505 trenches ha−1 SCT density in the silvi-pasture production system was the best practices in conserving and maintaining the degraded land ecosystem services. These findings would be very supportive to the policy makers and degraded land managers for reclaiming and improving the sustainability and ecosystem functioning of the degraded land ecosystem for achieving the SDG 5.3 and maintaining the land degradation neutrality.

Soil-Based Emissions and Context-Specific Climate Change Planning to Support the United Nations (UN) Sustainable Development Goal (SDG) on Climate Action: A Case Study of Georgia (USA)

Soil-based emissions from land conversions are often overlooked in climate planning. The objectives of this study were to use quantitative data on soil-based greenhouse gas (GHG) emissions for the state of Georgia (GA) (USA) to examine context-specific (temporal, biophysical, economic, and social) climate planning and legal options to deal with these emissions. Currently, 30% of the land in GA has experienced anthropogenic land degradation (LD) primarily due to agriculture (64%). All seven soil orders were subject to various degrees of anthropogenic LD. Increases in overall LD between 2001 and 2021 indicate a lack of land degradation neutrality (LDN) in GA. Besides agricultural LD, there was also LD caused by increased development through urbanization, with 15,197.1 km2 developed, causing midpoint losses of 1.2 × 1011 kg of total soil carbon (TSC) with a corresponding midpoint social cost from carbon dioxide (CO2) emissions (SC-CO2) of USD $20.4B (where B = billion = 109, $ = U.S. dollars (USD)). Most developments occurred in the Metro Atlanta and Coastal Economic Development Regions, which indicates reverse climate change adaptation (RCCA). Soil consumption from developments is an important issue because it limits future soil or forest carbon (C) sequestration potential in these areas. Soil-based emissions should be included in GA’s carbon footprint. Understanding the geospatial and temporal context of land conversion decisions, as well as the social and economic costs, could be used to create incentives for land management that limit soil-based GHG emissions in a local context with implications for relevant United Nations (UN) initiatives.

Balancing conservation and development for achieving land degradation neutrality

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

Extent and drivers of land productivity degradation at the territorial level in Eastern DR Congo

Land degradation is a global environmental problem that affects the livelihoods of communities. Understanding the extent and causative factors of this phenomenon is important to design the cause-targeted strategies to cope with this problem. This study aimed to assess the effects of biophysical and socio-economic factors on the occurrence of land productivity degradation at the territorial level in Eastern DR Congo, using the Kalehe territory as a case study. The land productivity dynamics were determined based on the trend analysis of Landsat-based NDVI annual composites over the 1987-2020 period. Additionally, a binary logistic regression model was developed to identify the determinant factors and to map the susceptibility of this degradation at the territorial level. The results revealed that 31.25% (1303.175 km2) of the territory had experienced a decrease in land productivity, with 10.8% (453.83 km2) characterized by a significant decrease at the confidence level of 90%, representing the hotspots area of land productivity degradation where conservation actions should be prioritized. This decrease in land productivity is location-specific as it depends on the land cover types and health zones. It is likely to occur at high altitudes, in areas close to artisanal mining sites, rivers, and administrative centers. These results imply that policy interventions to cope with the problem of land productivity degradation should be developed following the heterogeneity of the landscape, and sustainable land management practices that take into account both the biophysical and socio-economic drivers of land degradation should be implemented in this region to achieve the land degradation neutrality by 2030.

Participatory Mapping of Ethnoecological Perspectives on Land Degradation Neutrality in Southern Burkina Faso

In the Sahel region of West Africa, land degradation has raised concerns about the threat of desertification, leading to the establishment of the United Nations Convention to Combat Desertification (UNCCD) in 1994. Over time, the focus has shifted from simply combating desertification to a more comprehensive international program focused on preserving the health of our land by offsetting any damage with restoration efforts by 2030 to sustain ecosystem functions and services. This balancing process—which is in line with the Sustainable Development Goals (SDGs)—is known as Land Degradation Neutrality (LDN). We examine Land Degradation Neutrality (LDN) patterns, namely degradation and rehabilitation processes, by integrating participatory mapping with high-resolution satellite imagery with local stories, observations, historical records, and existing studies. The data elicited an understanding of the processes driving land degradation and adaptation strategies among three distinct ethnic groups of crop and livestock farmers in the village of Yallé in southern Burkina Faso. Some of these people were originally from this region, while others moved from places where the land was already degraded. Participants in the study had diverse experiences and perceptions of land degradation, its drivers, and adaptation strategies, which were influenced by their ethnicity, livelihood activities, and life experiences. These differences highlight the impact of cultural and socioeconomic factors on how people view land degradation, as well as the role of local knowledge in managing the environment. The study emphasizes the necessity of incorporating ethnoecological perspectives into projects focused on Land Degradation Neutrality (LDN) to better understand land degradation and improve land management. This integration can significantly contribute to strengthening global sustainability and community resilience.

Remote sensing analysis of spatiotemporal impacts of anthropogenic influence on mountain landscape ecology in Pir Chinasi national park

Mountain landscapes can be fragmented due to various human activities such as tourism, road construction, urbanization, and agriculture. It can also be due to natural factors such as flash floods, glacial lake outbursts, land sliding, and climate change such as rising temperatures, heavy rains, or drought.The study’s objective was to analyze the mountain landscape ecology of Pir Chinasi National Park under anthropogenic influence and investigate the impact of anthropogenic activities on the vegetation. This study observed spatiotemporal changes in vegetation due to human activities and associated climate change for the past 25 years (1995–2020) around Pir Chinasi National Park, Muzaffrabad, Pakistan. A structured questionnaire was distributed to 200 residents to evaluate their perceptions of land use and its effects on local vegetation. The findings reveal that 60% of respondents perceived spatiotemporal pressure on the park. On the other hand, the Landsat-oriented Normalized Difference Vegetation Index (NDVI) was utilized for the less than 10% cloud-covered images of Landsat 5, 7, and 8 to investigate the vegetation degradation trends of the study area. During the entire study period, the mean maximum NDVI was approximately 0.28 in 1995, whereas the mean minimum NDVI was − 2.8 in 2010. QGIS 3.8.2 was used for the data presentation. The impact of temperature on vegetation was also investigated for the study period and increasing temperature trends were observed. The study found that 10.81% (1469.08 km2) of the area experienced substantial deterioration, while 23.57% (3202.39 km2) experienced minor degradation. The total area of degraded lands was 34.38% (or 4671.47 km2). A marginal improvement in plant cover was observed in 24.88% of the regions, while 9.69% of the regions experienced a major improvement. According to the NDVI-Rainfall relationships, the area was found to be significantly impacted by human pressures and activities (r ≤ 0.50) driving vegetation changes covering 24.67% of the total area (3352.03 km2). The area under the influence of climatic variability and change (r ≥ 0.50 ≥ 0.90) accounted for 55.84% (7587.26 km2), and the area under both climatic and human stressors (r ≥ 0.50 < 0.70) was 64%. Sustainable land management practices of conservation tillage, integrated pest management, and agroforestry help preserve soil health, water quality, and biodiversity while reducing erosion, pollution, and the degradation of natural resources. landscape restoration projects of reforestation, wetland restoration, soil erosion control, and the removal of invasive species are essential to achieve land degradation neutrality at the watershed scale.

Dominant role of grazing and snow cover variability on vegetation shifts in the drylands of Kazakhstan

Decomposing the responses of ecosystem structure and function in drylands to changes in human-environmental forcing is a pressing challenge. Though trend detection studies are extensive, these studies often fail to attribute them to potential spatiotemporal drivers. Most attribution studies use a single empirical model or a causal graph that cannot be generalized or extrapolated to larger scales or account for spatial changes and multiple independent processes. Here, we proposed and tested a multi-stage, multi-model framework that detects vegetation trends and attributes them to ten independent social-environmental system (SES) drivers in Kazakhstan (KZ). The time series segmented residual trend analysis showed that 45.71% of KZ experienced vegetation degradation, with land use change as the predominant contributor (22.54%; 0.54 million km2), followed by climate change and climate variability. Pixel-wise fitted Granger Causality and random forest models revealed that sheep & goat density and snow cover had dominant negative and positive impacts on vegetation in degraded areas, respectively. Overall, we attribute vegetation changes to SES driver impacts for 19.81% of KZ (out of 2.39 million km2). The identified vegetation degradation hotspots from this study will help identify locations where restoration projects could have a greater impact and achieve land degradation neutrality in KZ.

Tracking the Dynamics and Uncertainties of Soil Organic Carbon in Agricultural Soils Based on a Novel Robust Meta-Model Framework Using Multisource Data

Monitoring and estimating spatially resolved changes in soil organic carbon (SOC) stocks are necessary for supporting national and international policies aimed at assisting land degradation neutrality and climate change mitigation, improving soil fertility and food production, maintaining water quality, and enhancing renewable energy and ecosystem services. In this work, we report on the development and application of a data-driven, quantile regression machine learning model to estimate and predict annual SOC stocks at plow depth under the variability of climate. The model enables the analysis of SOC content levels and respective probabilities of their occurrence as a function of exogenous parameters such as monthly temperature and precipitation and endogenous, decision-dependent parameters, which can be altered by land use practices. The estimated quantiles and their trends indicate the uncertainty ranges and the respective likelihoods of plausible SOC content. The model can be used as a reduced-form scenario generator of stochastic SOC scenarios. It can be integrated as a submodel in Integrated Assessment models with detailed land use sectors such as GLOBIOM to analyze costs and find optimal land management practices to sequester SOC and fulfill food–water–energy–-environmental NEXUS security goals.

African countries’ Rio convention commitments for selected agricultural measures related to soil security and soil health

This study examines the commitments of African countries that would support improved soil security and soil health. Measures for agroforestry, erosion control, grassland management, soil organic carbon (SOC), and wetlands were assessed within the frameworks of the Rio Conventions. By analyzing national commitments in Land Degradation Neutrality (LDN) targets, and biodiversity (Aichi) targets, and Nationally Determined Contributions (NDCs), submitted until January 31, 2024, the research identifies the extent and quantification of these commitments. Results reveal a varying emphasis on these measures across different national targets, with significant focus on agroforestry, grassland, SOC, and wetland conservation in LDN targets and NDCs. Where quantified commitments for a single measure have been set across LDN, NDC, and biodiversity targets, the necessity of national coordination in setting, planning, and monitoring sustainable soil management commitments is highlighted. The study concludes that implementing sustainable soil management practices remain pivotal for achieving agricultural and environmental goals in Africa, thereby calling for a unified approach to leverage existing commitments towards setting future priorities in soil health and soil condition, drawing attention to the critical need for integrated national processes to ensure effective implementation and monitoring of these commitments.

Land degradation neutrality and carbon neutrality: approaches, synergies, and challenges

Land is being degraded rapidly worldwide. United Nations Convention to Combat Desertification in 2015 has invited countries to formulate voluntary targets to achieve Land Degradation Neutrality (LDN). Under the Paris Agreement, a legally binding international treaty adopted in 2015, the world is transitioning toward Carbon Neutrality (CN) with more mitigation actions. This paper intended to review the concepts of land degradation, LDN along with CN emphasizing the degradation types, approaches, models available to analyze, synergies, economic aspects and challenges. The review explores approaches and models available for achieving LDN and CN which are both synergistic, economically efficient and could overcome the common challenges. Land degradation has to focus beyond the traditional definitions to incorporate more persistent and the difficult to restore degradation causes. Such complex land degradation requires specialized LDN approaches. The level of degradation and restoration progress could be analyzed using a variety of modeling approaches including economic models. Approaches for LDN and CN can bring significant synergies for each other. The approach proposed by the present study will provide a logical flow for decision-making while minimizing time and effort and avoiding a piecemeal approach. The approach therefore maximizes the output in relation to the inputs thus enhancing sustainability.

Ecological-economic assessment of forest land degradation neutrality in the Indus River Basin of Pakistan

Ecological-economic assessment of forest land degradation neutrality in the Indus River Basin of Pakistan

GGW-BDF: an online tool for using earth observation and Chinese ecosystem restoration experiences in support of the Great Green Wall initiative

ABSTRACT The United Nations Sustainable Development Goals (SDGs) establish a fresh global framework for evaluating the development agenda, emphasizing prosperity, growth, inclusivity, and transparency while safeguarding our planet Earth. Land Degradation Neutrality (LDN) represents a clear target for assessing the achievement of SDG 15.3. In response to the shortcomings of the African Great Green Wall initiative with respect to LDN monitoring, reporting, and intervention, we developed an online tool, the Great Green Wall Big Data Facilitator (GGW-BDF), based on earth observation data (e.g. SDGSAT-1), cutting-edge big data analysis technologies, and Chinese experience in combating desertification, to support the implementation of the African Great Green Wall initiative. The GGW-BDF comprises an LDN data portal, desertification control knowledge, and e-learning resources. This study highlights the functionality of this tool to support stakeholders across countries in monitoring LDN while providing the successful technoloiges to restore degraded or barren land. The contributions of the GGW-BDF are very useful in supporting the Pan-African Agency of the Great Green Wall (PAGGW), and will hopefully be continuously upgraded for being a part of the federated toolbox of the Group on Earth Observation (GEO) LDN Flagship.

Examining The Role of Soil in Promoting Sustainable Development and Achieving the UN Sustainable Development Goals (SDGs)

Soil is a critical component of terrestrial ecosystems, playing an invaluable role in supporting plant growth, regulating water and nutrient cycles, filtering pollutants, and providing habitat for soil organisms. However, increasing pressures from human activities, including intensive agriculture, deforestation, urbanization, and climate change are degrading soils across the world. Therefore, sustainable management of soil resources is imperative to ensure continued provisioning of ecosystem services, promote sustainable development outcomes, and help us to achieve the UN Sustainable Development Goals (SDGs). This paper reviews literature across multiple disciplines to examine the vital links between soil and realization of the SDGs. Soil properties influence productivity and food security, water availability and quality, climate regulation through carbon storage, biodiversity conservation, and human health. Degraded soils undermine these ecosystem services, exacerbating poverty, hunger, and inequality. Research shows ecosystem-based approaches that prioritize soil health, including conservation agriculture, agroecology, and regenerative systems, can sustainably intensify agriculture while restoring multi-functionality. Additionally, nature-based solutions utilizing plant-soil interactions for restoration have demonstrated cost-effectiveness. Achieving land degradation neutrality is now an explicit target under the United Nations Convention to Combat Desertification (UNCCD), emphasizing the need to scale soil-focused initiatives within the SDG framework. Therefore, protecting and restoring global soil assets can serve as a nexus in policy frameworks to simultaneously advance progress across multiple SDGs.

Assessing the contribution of land and water management approaches to sustainable land management and achieving land degradation neutrality

Assessing the contribution of land and water management approaches to sustainable land management and achieving land degradation neutrality

Disaggregating Land Degradation Types for United Nations (UN) Land Degradation Neutrality (LDN) Analysis Using the State of Ohio (USA) as an Example

Disaggregating Land Degradation Types for United Nations (UN) Land Degradation Neutrality (LDN) Analysis Using the State of Ohio (USA) as an Example

Enhancing productivity and sustainability of ravine lands through horti-silviculture and soil moisture conservation: A pathway to land degradation neutrality

Ravine lands are the worst type of land degradation affecting soil quality and biodiversity. Crop production in such lands is impossible without adopting proper conservation measures. In-situ moisture conservation techniques could play an instrumental role in restoring ravine lands by improving soil moisture. We hypothesized that restoring ravine land through a combination of tree planting, fruit crop cultivation, and in-situ moisture conservation practice would result in significant improvements in productivity, profitability, and soil fertility. An experiment was conducted involving the combination of Malabar Neem (Melia dubia) and Dragon fruit (Hylocereus undatus) in conjunction with in-situ soil moisture conservation measures specifically involving half-moon structures (HM). The experiment was conducted under randomized block design (RBD) comprising eight treatments. These treatments include sole Melia cultivation (MD 3m × 3m), sole cultivation of dragon fruit (DF 3m × 3m), silviculture system (MDF-3m × 3m), horti-silviculture system with larger spacing (MDF-4m × 4m), sole Melia cultivation with in-situ moisture conservation (MDH-3m × 3m), sole Dragon fruit cultivation with in-situ moisture conservation (DFH-3m × 3m), horti-silviculture system of Melia and Dragon fruit with in-situ moisture conservation (MDFH-3m × 3m), and horti-silviculture system with larger spacing and in-situ moisture conservation (MDFH-4m × 4m). Each treatment was replicated thrice to evaluate their impact on productivity, profitability, soil fertility, and carbon sequestration for 8 years (2016–2023). The results revealed that the horti-silviculture system (MDFH-3 × 3 m) exhibited the highest total tree biomass and total carbon sequestration with an increase of 183.2% and 82.8% respectively, compared to sole Melia cultivation without HM and sole Melia with HM. Furthermore, sole Melia with HM augmented soil nutrients (N, P, K, and SOC) by 74.4%, 66.4%, 35.2%, and 78.3%, respectively, compared to control (no planting), with performance at par with MDFH-3 × 3 m. Similarly, sole Melia with HM enhanced SOC stock and SOC sequestration rate by 79.2% and 248% over control. However, it was found at par with MDFH-3 × 3 m. The horti-silviculture system (MDFH-3 × 3 m) consistently produced the highest fruit yield throughout the years surpassing other treatments. This treatment increased the average dragon fruit yield by 115.3% compared to sole dragon fruit without HM. Hence, the adoption of the horti-silviculture system (MDFH-3 × 3 m) could be a promising strategy for achieving enhanced environmental and economic benefits in ravine lands. Therefore, dragon fruit based horti-silviculture system (MDFH-3 × 3 m) could be recommended for restoration of ravine lands, improving land productivity, and mitigating impact of soil erosion particularly in Western India or similar agro-climatic regions of the world.

Underutilized edible fruit species of the Indo-Gangetic Plains: A systematic review for food security and land degradation neutrality

Underutilized edible fruit species of the Indo-Gangetic Plains: A systematic review for food security and land degradation neutrality