Assessing the progress of desertification of the southern edge of Chihuahuan Desert: A case study of San Luis Potosi Plateau

Noyola-Medrano, Cristina; Martínez-Sias, Valeria Abigail

doi:10.1007/s11442-017-1385-5

Cited by 9 publications

(2 citation statements)

References 30 publications

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“…The ecoregions "Piedemontes and plains with grassland, xerophilous scrub and oak, and coniferous forests" and the "Plains of the Zacatecano-Potosino Altiplano with microphilous-crasicaule xerophilous scrub" are considered among the high priority ecoregions for conservation due to their scarce protected area, high biological diversity and high risk of degradation, with some protection regime of 0.8% and 2.8%, respectively [6]. These ecoregions have significant problems of water scarcity [7,8] and desertification [9,10], which may intensify in the future due to climate change and increased soil degradation [8,[11][12][13].…”

Section: Introductionmentioning

confidence: 99%

Landscape Planning for Conservation: The Case of the Flora and Fauna Protection Area “Sierra de San Miguelito”, San Luis Potosi, Mexico

et al. 2021

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A supporting study was developed to identify the priority elements for conservation in the region called “Sierra de San Miguelito” (SSM), in the San Luis Potosi State (SLP), Mexico, with the purpose of establishing a federal protected natural area (PNA). The methodological approach used was the integral-spatial analysis applied in territorial planning processes. The study showed that the forests, xerophilous scrubland, and natural grasslands of the SSM present a high biodiversity, an abundance of endemism (27% of species are endemic to the country, n = 285), and protected species (5% of reported species). In addition, 32.74% of vertebrates and 18.32% of flora reported for SLP status is present in SSM, with an area that represents only 1.79% of the state territory. As a result of the study, an area of 109,638.95 ha was proposed to be declared a federally PNA. The area provides environmental services that favor the San Luis Potosí city (SLPc) and the surrounding population; therefore, its conservation will promote the preservation of natural, cultural, and landscape heritage, being a transversal axis for sustainable development in its area of influence. The result was the basis for starting the negotiation process, developed in 2021, for the creation of the PNA.

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Section: Introductionmentioning

confidence: 99%

Landscape Planning for Conservation: The Case of the Flora and Fauna Protection Area “Sierra de San Miguelito”, San Luis Potosi, Mexico

et al. 2021

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“…Its mining activity exerts a disastrous impact on the environment [2,3]. Meanwhile, desertification is one of the most severe global eco-environmental degradation problems, impacting 25% of the total terrestrial area and more than 250 million people worldwide [4][5][6][7], especially for some places at the edge of the desert and which lack infrastructure. If desert sand is used to replace a portion of the fine aggregate to prepare concrete, not only will the desert resources be fully utilized, but also construction costs can be massively reduced.…”

Section: Introductionmentioning

confidence: 99%

Predicting the Compressive Strength of Desert Sand Concrete Using ANN: PSO and Its Application in Tunnel

Cai

Liao

Ren

et al. 2020

Advances in Civil Engineering

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Desert sand is one of the current research hotspots in alternative materials for concrete aggregates. In the process of practical application, compressive strength is an essential prerequisite for studying other properties. Based on the current research situation, a prediction technology of compressive strength of desert sand concrete (DSC) is proposed based on an artificial neural network (ANN) and a particle swarm optimization (PSO). The technology is a prediction model that adjusts the network architecture by using the PSO method based on the ANN optimization model. Water-binder ratio, sand ratio, replacement rate of desert sand, desert sand type, fly ash content, silica fume content, air content, and slump were selected as the neural network’s inputs. The compressive strength data of 118 different combinations of influencing variables were tested to establish the dataset. The results show that the PSO method is efficient for the ANN in DSC compressive strength research. Furthermore, referring to this method, DSC is applied to the shotcrete of tunnels in construction engineering successfully, and the dust particle content during construction is evaluated.

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Spatiotemporal changes of land desertification sensitivity in northwest China from 2000 to 2017

et al. 2021

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Sensitivity assessment is useful for monitoring land desertification. Research into how to prevent and control desertification is also important. In the arid region of northwest China, desertification is becoming worse and is a serious problem that affects local sustainable development. Based on remote-sensing and geographic information system technology, this study establishes a "soil-terrain-hydrology-climate-vegetation" desertification sensitivity comprehensive evaluation system to reflect the spatiotemporal changes of land desertification, and proposes a spatial distance model to calculate a desertification sensitivity index. The spatiotemporal change characteristics of land desertification sensitivity in northwest China are quantitatively assessed from 2000 to 2017. Moreover, the main driving factors are analyzed using the geographical detector method. The results show the following. (1) Terrain, soil, climate, vegetation and hydrology affect and restrict each other, and constitute the background conditions of the distributions and changes of sensitivity to desertification in northwest China. (2) Desertification sensitivity generally displays a low distribution characteristic on the periphery of the area and a high one in the interior. The low-sensitivity regions are mainly in the five major mountain ranges (Altai Mountains, Tianshan Mountains, Kunlun Mountains, Altun Mountains and Qilian Mountains), while the high-sensitivity regions are mainly in regions such as the Junggar Basin, the Tarim Basin and the Inner Mongolia Plateau, as well as the Taklimakan Desert, Badain Jaran Desert and Tengger Desert. The spatial distribution of desertification sensitivity is obviously regional, and the high-and low-sensitivity regions have clear boundaries and a concentrated distribution. (3) With regard to spatiotemporal evolution, changes in desertification sensitivity since 2000 have been predominantly stable, and the overall sensitivity has displayed a slowly decreasing trend, indicating that potential desertification regions are decreasing annually and that some achievements have been made in the WEI Wei et al.: Spatiotemporal changes of land desertification sensitivity in northwest China from 2000 to 2017 47 control of regional desertification. (4) Soil and climate play a direct role in the driving factors of desertification in northwest China, and these have been found to be the most important influential factors. Vegetation is the most active and basic factor in changing the sensitivity. In addition, topography and hydrology play a role in restricting desertification changes. Socio-economic factors are the most rapid factors affecting regional desertification sensitivity, and their impacts tend to be gradually increasing. In general, desertification has been effectively controlled in northwest China, and positive results have been achieved in such control. However, against the backdrop of intensified global climate change, increasingly prominent human activities and new normals of socio-economic development, the mo...

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Assessing the progress of desertification of the southern edge of Chihuahuan Desert: A case study of San Luis Potosi Plateau

Cited by 9 publications

References 30 publications

Landscape Planning for Conservation: The Case of the Flora and Fauna Protection Area “Sierra de San Miguelito”, San Luis Potosi, Mexico

Landscape Planning for Conservation: The Case of the Flora and Fauna Protection Area “Sierra de San Miguelito”, San Luis Potosi, Mexico

Predicting the Compressive Strength of Desert Sand Concrete Using ANN: PSO and Its Application in Tunnel

Spatiotemporal changes of land desertification sensitivity in northwest China from 2000 to 2017

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