Land Degradation in Environmentally Sensitive Areas (ESA) : Assessment and Conservation

A special issue of Land (ISSN 2073-445X). This special issue belongs to the section "Land Environmental and Policy Impact Assessment".

Deadline for manuscript submissions: 15 September 2024 | Viewed by 3415

Special Issue Editors


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Guest Editor
National Council for Scientific Research, Remote Sensing Center, Beirut 11-8281, Lebanon
Interests: land degradation; land degradation neutrality; remote sensing; land management; soil erosion; GIS; nature-based solutions

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Guest Editor
LAB’URBA, University of Gustave Eiffel, University of Paris Est Creteil, Ecole des Ingénieurs de la Ville de Paris (EIVP), F-77454 Marne-la-Vallée, France
Interests: remote sensing; disaster risk reduction; land management; GIS

E-Mail Website
Guest Editor
Centre D’études et de Développement des Territoires et de l’Environnement, Université d’Orléans, 45100 Orléans, France
Interests: land management; soil erosion; land degradation; sediment transport; geology; GIS

Special Issue Information

Dear Colleagues,

With a growing world population, the demand for resources is placing an ever-growing pressure on land. Estimates show that land degradation costs around USD 490 billion per year and causes losses of USD 6.3–10.6 trillion per year in ecosystem services. According to the IPCC (2019), 70% of the Earth’s ice-free land surface is directly affected by human-use, and about a quarter of the ice-free area is under pressure from human-induced degradation. Environmentally sensitive areas (ESA), often already exposed to various stress factors, are becoming increasingly threatened by land degradation, whether in their surroundings or within their perimeter. Such conditions not only affect environmental equilibria and land resources, but also have an impact on socioeconomic livelihoods, worsen the climatic crisis and promote the loss of biodiversity. Accordingly, food security, livelihoods, and land degradation–climate feedback loops are becoming significant hurdles for sustainable development. As the 2030 horizon is approaching, considerable advances in land degradation assessment, characterization and restoration/reversal are needed. At the scale of ESAs, the challenges are greater given the critical status of the zones. However, studies on land degradation in ESAs are still limited. Consequently, adequate conservation and anti-degradation measures are still limited. Therefore, further research efforts are needed. The gaps that need to be bridged are numerous: land degradation definition, characterization and mapping; understanding the implications of land degradation in ESA; quantifying impacts and feedback loops; and proposing adequate conservation measures. We believe that this Special Issue will provide concrete solutions and strong contributions to the field in an attempt to safeguard land resources and ESA.

The aim of this Special Issue is two-fold: the first aspect aims to investigate advances in land degradation assessment and quantification in general, and in ESAs in particular. Once land degradation is assessed/defined, the second aspect of this Special Issue comes into play. The latter consists of understanding and demonstrating the potential of innovative concepts such as land degradation neutrality (LDN), nature-based solutions (NbS) and other conservation measures for combatting land degradation generally and in ESAs in particular.

This topic falls under Land’s following subject areas:

  • Land systems science and social–ecological systems research;
  • All aspects of land use and land cover change;
  • Land-related issues in climate, ecology, environmental/geosciences, social, economic (sustainability) sciences and biodiversity research;
  • Land-related aspects of nature and biodiversity governance;
  • Land management, including the application of ecosystem services, multifunctionality or other concepts;
  • Livelihoods, food security and supply chains in relation to land issues;
  • Land-related aspects of achieving the UN Sustainability Goals;
  • Landscape and territorial planning, conservation and management;
  • Land—observation and monitoring.

The journal Land presents this Special Issue entitled “Land Degradation in Environmentally Sensitive Areas (ESA): Assessment and Conservation”. Specific topics include, but are not limited to:

  • Land degradation assessment methods (remote sensing, in situ, modeling, etc.);
  • Investigating the extent of land degradation in ESA using a multitude of methods;
  • The effect of external stressors such as land use change, natural hazards and human-made hazards on land degradation in ESAs;
  • The ESA–land degradation–SDG nexus;
  • Assessment of physical and/or chemical and/or biological land degradation in ESAs;
  • Advances in land degradation mapping and characterization;
  • Biophysical and socioeconomic implications of land degradation in ESAs;
  • The potential of the land degradation neutrality (LDN) concept for combatting land degradation in ESAs;
  • Conservation measures in ESAs for combating land degradation and linkages with nature-based solutions;
  • ESA governance systems related to land conservation.

Case studies of interest for an international readership as well as review and research articles are welcomed.

Dr. Mario Al Sayah
Dr. Rita Der Sarkissian
Dr. Rachid Nedjaï
Guest Editors

Manuscript Submission Information

Manuscripts should be submitted online at www.mdpi.com by registering and logging in to this website. Once you are registered, click here to go to the submission form. Manuscripts can be submitted until the deadline. All submissions that pass pre-check are peer-reviewed. Accepted papers will be published continuously in the journal (as soon as accepted) and will be listed together on the special issue website. Research articles, review articles as well as short communications are invited. For planned papers, a title and short abstract (about 100 words) can be sent to the Editorial Office for announcement on this website.

Submitted manuscripts should not have been published previously, nor be under consideration for publication elsewhere (except conference proceedings papers). All manuscripts are thoroughly refereed through a single-blind peer-review process. A guide for authors and other relevant information for submission of manuscripts is available on the Instructions for Authors page. Land is an international peer-reviewed open access monthly journal published by MDPI.

Please visit the Instructions for Authors page before submitting a manuscript. The Article Processing Charge (APC) for publication in this open access journal is 2600 CHF (Swiss Francs). Submitted papers should be well formatted and use good English. Authors may use MDPI's English editing service prior to publication or during author revisions.

Keywords

  • land degradation
  • environmentally sensitive areas
  • land degradation neutrality
  • land management
  • innovative land restoration
  • conservation solutions

Published Papers (3 papers)

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Research

14 pages, 5702 KiB  
Article
Spatiotemporal Variation in Wind Erosion in Tarim River Basin from 2010 to 2018
by Qinqin Zhang, Fang Gu, Sicong Zhang, Xuehua Chen, Xue Ding and Zhonglin Xu
Land 2024, 13(3), 330; https://doi.org/10.3390/land13030330 - 5 Mar 2024
Viewed by 635
Abstract
The Tarim River Basin, China’s largest inland river basin, is renowned for its ecological fragility characterized by concurrent greening and desertification processes. Soil wind erosion emerges as a critical factor impacting the natural ecosystem of this region. This study employs a soil wind [...] Read more.
The Tarim River Basin, China’s largest inland river basin, is renowned for its ecological fragility characterized by concurrent greening and desertification processes. Soil wind erosion emerges as a critical factor impacting the natural ecosystem of this region. This study employs a soil wind erosion model tailored to cultivated land, grassland, and desert terrains to analyze the multitemporal characteristics of and spatial variations in soil wind erosion across nine subbasins within the Tarim River Basin, utilizing observed data from 2010, 2015, and 2018. Additionally, this study investigates the influence of various factors, particularly wind speed, on the soil wind erosion dynamics. Following established standards of soil erosion classification, the intensity levels of soil erosion are assessed for each calculation grid within the study area alongside an analysis of the environmental factors influencing soil erosion. Findings indicate that approximately 38.79% of the total study area experiences soil wind erosion, with the Qarqan River Basin exhibiting the highest erosion modulus and the Aksu River Basin registering the lowest. Light and moderate erosion predominates in the Tarim River Basin, with an overall decreasing trend observed over the study period. Notably, the Qiemo River Basin, Dina River Basin, and Kaidu Kongque River Basin display relatively higher proportions of eroded area compared to their total subbasin area. Furthermore, this study underscores the substantial influence of the annual average wind speed on soil erosion within the study area, advocating for prioritizing soil and water conservation programs, particularly in the downstream regions of the Tarim River Basin, to mitigate future environmental degradation. Full article
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19 pages, 4621 KiB  
Article
Risk Assessment of World Corn Salinization Hazard Factors Based on EPIC Model and Information Diffusion
by Degen Lin, Chuanqi Hu, Fang Lian, Jing’ai Wang, Xingli Gu and Yingxian Yu
Land 2023, 12(11), 2076; https://doi.org/10.3390/land12112076 - 18 Nov 2023
Cited by 1 | Viewed by 936
Abstract
Salinization is a serious land degradation phenomenon. This study identified the salinity stress threshold as a causal factor for salinization, focusing on global maize fields as the study area. By excluding environmental stressors and setting salinization scenarios, the EPIC model was used to [...] Read more.
Salinization is a serious land degradation phenomenon. This study identified the salinity stress threshold as a causal factor for salinization, focusing on global maize fields as the study area. By excluding environmental stressors and setting salinization scenarios, the EPIC model was used to simulate the daily salinity stress threshold during the corn growth process. The global intensity and risk of salinization-induced disaster for maize were evaluated. Based on the principle of information diffusion, the intensity of salinization-induced disaster was calculated for different return periods. The main conclusions were as follows: (1) By excluding environmental stress factors and setting salinization scenarios, algorithms for the salinization index during the growing season and the intensity of salinization-induced disaster were proposed. (2) The salinity hazard factor is highly risky and concentrated in arid and semi-arid regions, while it is relatively low in humid regions. (3) As the recurrence period increases, the risk of salinization-induced hazard becomes higher, the affected area expands, and the risk level increases. (4) The salinization intensity results of this study are consistent with the research results of HWSD (R2 = 0.9546) and GLASOD (R2 = 0.9162). Full article
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22 pages, 2280 KiB  
Article
Impact of the Grain for Green Project on the Well-Being of Farmer Households: A Case Study of the Mountainous Areas of Northern Hebei Province, China
by Kun Wang, Piling Sun, Xin Wang, Junxiong Mo, Nan Li and Jinye Zhang
Land 2023, 12(6), 1257; https://doi.org/10.3390/land12061257 - 19 Jun 2023
Cited by 1 | Viewed by 991
Abstract
There are close dynamic relationships among the livelihood, well-being, and ecological environment of farmer households. It is of great significance to scientifically clarify the impact of the Grain for Green policy on the livelihoods and well-being of farmer households in mountainous areas. Based [...] Read more.
There are close dynamic relationships among the livelihood, well-being, and ecological environment of farmer households. It is of great significance to scientifically clarify the impact of the Grain for Green policy on the livelihoods and well-being of farmer households in mountainous areas. Based on data from a survey of 392 farmer households in Zhangbei County, the system of indicators for livelihood assets and well-being of farmer households were constructed using the sustainable livelihood framework (SLF). The livelihood assets and well-being levels of different types of farmer households were measured, and a multiple linear regression model was used to analyze the impact of the Grain for Green policy implementation on the well-being levels of farmer households. The results showed that (1) the Grain for Green project caused changes in the livelihood of farmer households. The average livelihood diversity of farmer households was 3.008, and the returned farmland households (3.022) were higher than the nonreturned farmland households (2.975) in Zhangbei County. The level of natural assets among the total average livelihood assets of farmer households was the highest at 0.374, while the level of physical assets was the lowest at 0.018. The level of livelihood assets of returned farmland households (0.948) was lower than that of nonreturned farmland households (1.117). (2) The Grain for Green policy had an improving effect on the level of well-being of farmer households, but the effect was not significant. The level of well-being of all farmer households in Zhangbei County was 0.517, with the level of wealth contributing the most to the well-being of farmer households at 40.20% and the quality of the ecological environment contributing the least at 11.99%. The level of well-being of returned farmland households (0.518) was slightly higher than that of nonreturned farmland households (0.514). (3) The influencing degree of each factor on the level of well-being varied significantly. There are three main paths through which the Grain for Green policy affects the well-being of farmer households: by reallocating human assets, optimizing natural assets, and enhancing financial assets. The factor of household size had the highest degree, at 0.366, while educational attainment of household members, household labor capacity, annual household expenditure, livelihood diversity, number of large production tools, and total value of livestock were also important drivers of household well-being, and area of arable land was negatively associated with household well-being. There were also differences in the factors influencing the level of well-being of different types of farmer households. Full article
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