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Monitoring and Evaluation of Land Degradation and Desertification in Changing Environments

A special issue of International Journal of Environmental Research and Public Health (ISSN 1660-4601). This special issue belongs to the section "Environmental Earth Science and Medical Geology".

Deadline for manuscript submissions: closed (24 March 2023) | Viewed by 3489

Special Issue Editor


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Guest Editor
Northwest Institute of Eco-Environment and Resources, Chinese Academy of Sciences (CAS), Lanzhou 730000, China
Interests: land degradation; desertification; remote sensing of vegetation; land use/cover change (LUCC)

Special Issue Information

Dear Colleagues,

Land degradation and desertification (LDD) are major global eco-environmental issues affecting human survival and development. The accurate monitoring and assessment of LDD is the basis for the scientific deployment of desertification control and ecological restoration on global, national and regional scales. However, because LDD is a long-term evolutionary process and involves a wide range of areas, conventional ground observations cannot meet the monitoring needs of large areas. Remote sensing technology has the advantages of a wide observation range, multiple data acquisition channels and fast update speed, which make it an effective tool for monitoring LDD. A large number of studies have been carried out on the spatiotemporal dynamics, trends, impacts and responses of LDD based on remote sensing, with results providing reliable data support and a reference for the formulation of LDD prevention and control measures. However, due to the limitations of remote sensing observation technology in the early stage, there are still many problems requiring solving. Most recent remote sensing technologies and data analysis methods (for example, the newly launched earth observation satellites with a higher spatial and temporal resolution, the introduction of novel indicators and the comprehensive application of multiple indicators, novel LDD extraction techniques based on machine learning and quantitative algorithms, etc.) provide the potential to overcome these limitations.

In the context of global warming, local and large-scale climate change is predicted to increase in severity, potentially having a significant impact on the LDD process at any time. In recent years, the frequent occurrence of extreme climate events and unprecedented intensity of human activities have especially led to the expansion and intensification of LDD. Therefore, it is necessary to further explore the relationship between LDD change and climate.

The purpose of this Special Issue is to report on novel remote sensing techniques and methods for monitoring and assessing LDD, as well as the latest monitoring results of LDD and to explore the response of LDD dynamics to climate change (including extreme climates). Scholars are invited to contribute research papers related to LDD.

Related topics may include, but are not limited to, the following:

  • Remote sensing monitoring and evaluation of LDD;
  • Inversion of LDD monitoring index;
  • New methods for extracting LDD information;
  • LDD mapping;
  • LDD time series monitoring based on multi-index synthesis;
  • Monitoring and assessment of LDD under different land use/cover types;
  • Response of LDD to climate change (including extreme climates);
  • The role of human activities in the LDD process;
  • Vegetation dynamics and the response to climate change in LDD regions.

Dr. Hanchen Duan
Guest Editor

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Keywords

  • land degradation
  • desertification
  • vegetation dynamics
  • land use/cover change
  • quantitative monitoring
  • spatial analysis
  • time series analysis
  • machine learning
  • climate change
  • extreme weather events

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Published Papers (1 paper)

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Research

16 pages, 8327 KiB  
Article
Impacts of Climate Change and Land Use/Cover Change on the Net Primary Productivity of Vegetation in the Qinghai Lake Basin
by Jinlong Zhang, Yuan Qi, Rui Yang, Xiaofang Ma, Juan Zhang, Wanqiang Qi, Qianhong Guo and Hongwei Wang
Int. J. Environ. Res. Public Health 2023, 20(3), 2179; https://doi.org/10.3390/ijerph20032179 - 25 Jan 2023
Cited by 13 | Viewed by 2248
Abstract
The Qinghai Lake Basin acts as a natural barrier, preventing the western desert from spreading eastward. This is an important link in preserving the ecological stability of the northeastern region of the Qinghai–Tibet Plateau (QTP). Therefore, quantitative research into the net primary productivity [...] Read more.
The Qinghai Lake Basin acts as a natural barrier, preventing the western desert from spreading eastward. This is an important link in preserving the ecological stability of the northeastern region of the Qinghai–Tibet Plateau (QTP). Therefore, quantitative research into the net primary productivity (NPP) of vegetation and its driving force in the Qinghai Lake Basin is required. The effects of land use/cover change (LUCC) and climate change on NPP in the Qinghai Lake Basin were studied using R-contribution ratio and partial correlation analysis methods using MOD17A3H products, Land Use/Land Cover (LULC) data, and meteorological data. (1) The LULC of the Qinghai Lake Basin showed a trend that “the area of grassland, cultivated land, and unused land continued to decrease, while the area of other LULC types increased” from 2000 to 2020, according to the study’s findings. Grassland, water bodies, construction land, and unused land dominated the mutual transformation of LULC types. (2) The NPP of the basin showed a growing trend, with a growth rate of 3.93 gC·m–2·a–1 before 2010 and 0.88 gC·m–2·a–1 after 2010. Significant regional heterogeneity was found in NPP, with gradients decreasing from southeast to northwest. (3) The impact of LUCC on overall NPP changes had gradually increased. Climate change has been the primary driver of NPP changes in the Qinghai Lake Basin over the last 20 years. Full article
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