Linkages between land use changes, desertification and human development in the Thar Desert Region of India

Varghese, N. V.; Singh, N. P.

doi:10.1016/j.landusepol.2015.11.001

Cited by 57 publications

(27 citation statements)

References 6 publications

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“…The water table (WT) depth of the He Tao area is 0.5-3 m, the WT depth of the sandy area is 3-10 m, and the WT depth in front of the mountain is 3-30 m. The exploitable area of groundwater is 3452.11 km 2 and the groundwater resource reserves are 0.5258 billion m 3 . From the southeast to the northwest (I-I'), as shown in Figure 2, the water yield property of the aquifer first transitions from 1000-3000 to 3000-5000 m 3 /day; with the gradual close of the Piedmont alluvial fan, the water yields are significantly reduced.…”

Section: Physiography and Hydrogeological Conditionsmentioning

confidence: 99%

“…In addition, urbanization has also led to the acceleration of desertification; humans play a vital role in this process [3]. For example, well drilling represents an increasing trend in Northwest China where this human environmental interference not only changes the landscape pattern, but also affects the regional eco-hydrological processes.…”

Section: Introductionmentioning

confidence: 99%

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Incorporating Temporal and Spatial Variations of Groundwater into the Construction of a Water-Based Ecological Network: A Case Study in Denko County

Jiang

Yang

et al. 2017

Water

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It is of great practical significance to construct a water-based ecological network in arid and semi-arid areas. The spatial distribution of water resources is one of the most important factors in determining the ecological stability of such areas. In this study, groundwater level trends were analyzed with a model called Empirical Mode Decomposition (EMD). The temporal and spatial evolution of groundwater depth data from 1990 to 2016 were analyzed. The surface water bodies were analyzed using a point pattern analysis method. Based on this, a water-based ecological network was constructed with a minimum cumulative resistance surface model. The study indicated that the trend lines for the groundwater tables of 17 wells could be divided into five types in Denko County. The landscape types that changed from a desert landscape to an oasis landscape had a positive impact on groundwater. Precipitation trend was related to the spatial distribution of the groundwater depth, and the spatial pattern of the water nodes was characterized by a small-scale highly aggregated distribution and a large-scale uniform distribution in Denko County. These results suggest that for the stability of arid and semi-arid ecological environments, the appropriate human intervention (such as construction of an artificial oasis) is of great significance. Based on the analysis of groundwater and surface water bodies, a water-based ecological network in Denko County, which consisted of 391 ecological sources and 7360 ecological corridors, was constructed in 2016. The water-based ecological network constructed in this study was more sustainable and stable, and also suitable for arid and semi-arid areas, which is of great practical significance and application value.

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Section: Physiography and Hydrogeological Conditionsmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Incorporating Temporal and Spatial Variations of Groundwater into the Construction of a Water-Based Ecological Network: A Case Study in Denko County

Jiang

Yang

et al. 2017

Water

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“…[3][4][5] The recent Millennium Ecosystem Assessment Report indicates that desertification threatens over 41% of the Earth's land area; 20% to 70% of dry lands are already degraded, resulting in a decline in agricultural productivity, loss of biodiversity, and the breakdown of ecosystems. 6 Chapter 12 of Agenda 21, as approved by the United Nations Conference on Environment and Development, defines desertification as a form of "land degradation in arid, semiarid and dry subhumid areas resulting from various factors, including climatic variations and human activities," triggering the losses of ecosystem services. 5,6 According to FAO (2016), land degradation is "the reduction in the capacity of the land to provide ecosystem goods and services and assure its functions over a period of time for the beneficiaries of these," especially due to land mismanagement.…”

Section: Introductionmentioning

confidence: 99%

“…6 Chapter 12 of Agenda 21, as approved by the United Nations Conference on Environment and Development, defines desertification as a form of "land degradation in arid, semiarid and dry subhumid areas resulting from various factors, including climatic variations and human activities," triggering the losses of ecosystem services. 5,6 According to FAO (2016), land degradation is "the reduction in the capacity of the land to provide ecosystem goods and services and assure its functions over a period of time for the beneficiaries of these," especially due to land mismanagement. 3,7 Common indicators of desertification include a decrease in land and soil properties and quality, and their ability to undertake their normal ecosystem functions, all of which lead to an increase in soil erosion and salinization.…”

Section: Introductionmentioning

confidence: 99%

Assessment of remote sensing-based classification methods for change detection of salt-affected areas (Biskra area, Algeria)

Afrasinei

Melis

Buttau

et al. 2017

J. Appl. Remote Sens

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In the Wadi Biskra arid and semiarid areas, sustainable development is restricted by land degradation processes such as secondary salinization of soils. Being an important highquality date production region of Algeria, this area needs continuous monitoring of desertification indicators, hence highly exposed to climate-related risks. Given the limited access to field data, appropriate methods were assessed for the identification and change detection of salt-affected areas, involving image interpretation and automated classifications employing Landsat imagery, ancillary and multisource ground truth data. First, a visual photointerpretation study of the land cover and land use classes was undergone according to acknowledged methodologies. Second, two automated classification approaches were developed: a customized decision tree classification (DTC) and an unsupervised one applied to the principal components of Knepper ratios composite. Five indices were employed in the DTC construction, among which also is a salinity index. The diachronic analysis was undergone for the 1984 to 2015 images (including seasonal approach), being supported by the interpreted land cover/land use map for error estimation. Considering also biophysical and socioeconomic data, comprehensive results are discussed. One of the most important aspects that emerged was that the accelerated expansion of agricultural land in the last three decades has led and continues to contribute to a secondary salinization of soils

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“…Desertification is the persistent degradation of dryland ecosystems due to anthropogenic activities and variability in climate (Varghese & Singh, 2016). Agenda 21, as approved by the United Nations Conference on Environment and Development (UNCED), defines desertification as "land degradation in arid, semi-arid and dry sub-humid areas resulting from various factors, including climatic variations and human activities" (Sombroek & Sene, 1993).…”

Section: Introductionmentioning

confidence: 99%

A Webgis Framework for Disseminating Processed Remotely Sensed on Land Cover Transformations

Caradonna

Novelli

Tarantino

et al. 2016

Reports on Geodesy and Geoinformatics

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Linkages between land use changes, desertification and human development in the Thar Desert Region of India

Cited by 57 publications

References 6 publications

Incorporating Temporal and Spatial Variations of Groundwater into the Construction of a Water-Based Ecological Network: A Case Study in Denko County

Incorporating Temporal and Spatial Variations of Groundwater into the Construction of a Water-Based Ecological Network: A Case Study in Denko County

Assessment of remote sensing-based classification methods for change detection of salt-affected areas (Biskra area, Algeria)

A Webgis Framework for Disseminating Processed Remotely Sensed on Land Cover Transformations

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