Seasonal Variation of Surface Temperature–Modulating Factors in the Sonoran Desert in Northwestern Mexico

Tereshchenko, Iryna; Золотокрылин, А. Н.; Титкова, Т. Б.; Brito‐Castillo, Luis; Monzón, César

doi:10.1175/jamc-d-11-0160.1

Cited by 8 publications

(7 citation statements)

References 31 publications

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“…ET) is very similar (Figure 10b). Also, ST values obtained in this work from the thermal band of Landsat TM, are consistent with those reported by other studies carried out in arid and semi-arid zones (Sánchez et al, 2008;Tereshchenko et al, 2012). The results allow verifying that high ST variations are related to the El Niño and La Niña phenomena except the year 1990 which does not present an event of this kind (Null, 2013).…”

Section: Discussionsupporting

confidence: 91%

“…On the other hand, Becerril-Piña and others (2015) analyzed with Landsat imagery the phenomenon of desertification for the Central Mexican Plateau; pointing out that one of the most significant factors is the vegetation-soil relationship because it permits to show that desertification is closely linked to deforestation and land use change. Nevertheless, a study released in the Sonoran Desert, highlights the importance of the relationship among albedo, surface temperature, and NDVI, because these factors present a cyclical pattern, and it is observed an increase in apparent desertification surfaces in years with longer periods of radiation (Tereshchenko et al, 2012).…”

Section: Introductionmentioning

confidence: 99%

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

Noyola-Medrano

Martínez-Sias

2017

J. Geogr. Sci.

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The aim of this study is to establish if the San Luis Potosi Plateau (SLPP), which is part of the southern edge of the Chihuahuan Desert, is generating desertification processes, indicating a progression of the desert toward the central part of Mexico. Therefore, we analyzed the temporal evolution of four environmental indicators of desertification: Normalized Difference Vegetation Index (NDVI), Normalized Difference Water Index (NDWI), Iron Oxides Index (IO) and Surface Temperature (ST). Landsat TM images are used to cover a period from 1990 to 2011. A new equation of total balance is proposed to generate an image of the overall evolution of each factor which is applied to get a probability map of desertification. The evolution of NDVI, NDWI and IO shows a behavior almost stable over the time. In contrast, the ST shows a slight increase. The outcomes of this study confirm periods of vegetation re-greening and 8.80% of the SLPP has the highest probability to develop desertification. The most affected area is the portion west of the region, and the east and south are the least affected areas. The results suggest a slight advance of the desert, although most of the area doesn't have the necessary conditions to develop desertification.

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Section: Discussionsupporting

confidence: 91%

Section: Introductionmentioning

confidence: 99%

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

Noyola-Medrano

Martínez-Sias

2017

J. Geogr. Sci.

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“…One can see that LST is consistently high throughout the year for a major part of the study area. High temperatures affect soil moisture and biological activity and contribute to high evapotranspiration rates (Tereshchenko, Zolotokrylin, Titkova, Brito‐Castillo, & Monzon, ) that lead to accumulation of salts on the soil surface, for the areas having inherent subsurface soil salinity. Many areas of semiarid regions turn saline/alkaline due to high evapotranspiration rates along with lack of leaching and percolation to deeper horizons.…”

Section: Resultsmentioning

confidence: 99%

A composite method to identify desertification ‘hotspots’ and ‘brightspots’

Singh

Ajai

2019

Land Degrad Dev

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Desertification has become one of the greatest environmental concerns of our planet. Implementation of the action plans for arresting land degradation and for employing rehabilitation measures over a large spatial scale is not feasible due to the amount of time, effort, and cost involved. However, if the ‘hotspots’ the ‘brightspots’, and the ‘potential areas’ are identified, the task would be relatively easy. In this paper, a method is proposed to identify the pieces of degraded land with varying severity levels (in terms of ‘hotspots’, ‘brightspots’, and ‘potential areas’), using Bowen ratio, land surface temperature (LST), Ra, and Normalized Difference Vegetation Index (NDVI). Although the zone falls in the semiarid class, the microclimate analysis of the study area revealed high aridity. The combined analysis of LST, Ra, and NDVI helped in identifying the areas susceptible to land degradation (particularly, salinization and water erosion). Analysis of the vegetation type and condition showed their variable roles towards the protection of soil from erosion, drought, and fire. Using these analyses together with the ecosystemic approach of Bowen ratio, ‘hotspots’, ‘brightspots’, and ‘potential areas’ were identified at the pixel level. For validation, Desertification Status Map was employed. The investigations revealed that around 49% of the study area falls under the category of ‘hotspots’ (with an error estimate of 13%) and another 49% as ‘brightspots’. The findings revealed that instead of targeting the entire area for implementation of the mitigation measures with the same efforts, it would be better to focus on the specific pieces of land (‘hotspots’) to optimally utilize the available resources.

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“…Seager, 2007;Seager et al, 2009;Brito-Castillo, 2012). These results are largely long term 386 climatic oscillations inherent to tropical regions rather than the processes of anthropogenic warming 387 (i.e.…”

Section: Introduction 54 55mentioning

confidence: 99%

Changes in Aridity across Mexico in the Second Half of the Twentieth Century

Tereshchenko

Золотокрылин

Черенкова

et al. 2015

Journal of Applied Meteorology and Climatology

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Six regions in Mexico, with typical interannual changes in the aridity index, have been defined by the 1951–2001 meteorological dataset. Peak months of rainfall differ within the regions. Most of the land in the Mexican terrain has had a slow aridization since the early 1980s. The decline in the aridity index in the early 1950s and late 1990s was caused by droughts in the area. The distinctive features of the aridization of Mexican dry lands are characterized by steady and extensive droughts during 1948–57, 1960–65, and 1994–2003 in the second half of the twentieth century. During the drought of 1951–57 substantial aridization in most of the dry lands was observed, including the Sierra Madre Occidental, Sierra Madre Oriental, and Mexican Altiplano. Aridization of dry lands during the drought in 1960–65 affected mostly the southern part of the Mexican Altiplano, the Sierra Madre del Sur, and the Yucatán Peninsula. For the drought in the 1990s, one special feature of the aridization was its propagation primarily beyond the Mexican Altiplano. Increased aridization of dry lands caused by long-term droughts during the last decade of the twentieth century did not result in a sizeable shift of the southern boundary of the dry lands. The only exception is the southern boundary (aridity index = 0.75) in the state of Sinaloa. In this area, the boundary moved southward and aridization intensified. The results obtained here can be used in studies of possible anthropogenic impact on the drought of the twentieth century’s last decade in Mexico, which includes changes in land use.

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Seasonal Variation of Surface Temperature–Modulating Factors in the Sonoran Desert in Northwestern Mexico

Cited by 8 publications

References 31 publications

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

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

A composite method to identify desertification ‘hotspots’ and ‘brightspots’

Changes in Aridity across Mexico in the Second Half of the Twentieth Century

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