Local climatically-driven changes of albedo and surface temperatures in the Sonoran Desert

Золотокрылин, А. Н.; Brito‐Castillo, Luis; Титкова, Т. Б.

doi:10.1016/j.jaridenv.2020.104147

Cited by 12 publications

(8 citation statements)

References 25 publications

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“…The Sonoran Desert generates some of the world’s highest air temperatures given its location in a low-elevation basin beneath a persistent subtropical atmospheric ridge and rain shadow. The resulting aridity reduces the region’s ability to exhaust heat in soil via evapotranspiration, and surface heat imbalances are instead compensated for through longwave radiation flux adjustments ( 22 – 23 ).…”

Section: Resultsmentioning

confidence: 99%

Observational and model evidence together support wide-spread exposure to noncompensable heat under continued global warming

Powis,

Byrne,

Zobel

et al. 2023

Sci. Adv.

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As our planet warms, a critical research question is when and where temperatures will exceed the limits of what the human body can tolerate. Past modeling efforts have investigated the 35°C wet-bulb threshold, proposed as a theoretical upper limit to survivability taking into account physiological and behavioral adaptation. Here, we conduct an extreme value theory analysis of weather station observations and climate model projections to investigate the emergence of an empirically supported heat compensability limit. We show that the hottest parts of the world already experience these heat extremes on a limited basis and that under moderate continued warming parts of every continent, except Antarctica, will see a rapid increase in their extent and frequency. To conclude, we discuss the consequences of the emergence of this noncompensable heat and the need for incorporating different critical thermal limits into heat adaptation planning.

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Section: Resultsmentioning

confidence: 99%

Observational and model evidence together support wide-spread exposure to noncompensable heat under continued global warming

Powis,

Byrne,

Zobel

et al. 2023

Sci. Adv.

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“…Another study in the northwestern Sonora Desert in Mexico used a combination of MODIS albedo, LST, NDVI, and evapotranspiration indices to detect desertification condition. Results indicted a major increasing trend in desertification in the region, which was a UNESCO World Heritage Site (Zolotokrylin et al, 2020).…”

Section: Resultsmentioning

confidence: 99%

“…The integration of remote sensing BNB indices for delineating degraded areas has also been done in previous studies. Results indicted a major increasing trend in desertification in the region, which was a UNESCO World Heritage Site (Zolotokrylin et al, 2020).…”

Section: Remote Sensing-based Desertification Mapmentioning

confidence: 99%

“…Therefore, one of the most important stages of evaluating desertification process is identifying and selecting appropriate indices that have characteristics such as measurement capability, appropriate spatial, and temporal resolution, accessibility, low cost, and repeatability. Currently, ready‐to‐use remote sensing products have been considered by many researchers in the field of land degradation and desertification due to the above characteristics and long‐term archives (Huang et al, 2020; Jafari & Hasheminasab, 2017; Matin & Behera, 2020; Singh, 2019; Zhuang et al, 2020; Zolotokrylin, Brito‐Castillo, & Titkova, 2020). On the other hand, due to the fact that many MEDALUS indices are local, discontinuous, and expert opinion is involved in their evaluation, their use at the local, national, regional, and global levels is limited.…”

Section: Introductionmentioning

confidence: 99%

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Remote sensing‐based biological and nonbiological indices for evaluating desertification in Iran: Image versus field indices

Jafari

Abedi

2021

Land Degrad Dev

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Mapping and monitoring of the complex process of desertification based on ground data in broad arid and semiarid areas faces basic limitations. Therefore, the purpose of the present study was to propose a new method for mapping this phenomenon in central Iran using biological and nonbiological (BNB) indices of remote sensing products from 2003 to 2016. For this purpose, BNB indices including normalized difference vegetation index, land surface temperature, temperature vegetation dryness index, precipitation, evapotranspiration, net primary production, rain use efficiency (RUE), aridity index, and slope were extracted using MOD13A2, MOD11A2, PERSIANN-CDR, and SRTM products. After calibration and normalization of indices, they were combined using fuzzy logic and gamma operator and the combined 2003 map was validated by MEDALUS model map prepared based on ground data in 2003 using Pearson correlation and error matrix. Results showed more than 70% correlation (p < .001) as well as overall accuracy and kappa coefficient of more than 70% and 0.5 between remote sensing-based and MEDALUS-based desertification maps.According to the 2003 and 2016 maps, desertification classes including low, moderate, severe, and very severe changed from 11.9, 49.8, 34, and 4.1% to 11.11, 43.21, 40.43, and 5.24%, respectively, which indicate increasing trend of desertification in the region. The findings demonstrate the high capability of proposed method to map and monitor desertification classes. Therefore, it can be used to update existing desertification models and to report desertification condition and its positive and negative trends at local, national, and international levels.

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“…The Sonoran Desert is one of the warmest regions in North America and the world, where temperatures above 50°C have been recorded and cover a territory of 260,000 km 2 , including southern Arizona; southeastern California; northeast, north and south-central Baja California; and north-central and western Sonora, Mexico (Zolotokrylin et al 2020, Flower et al 2021). However, unlike other deserts, the Sonoran Desert is the most biodiverse; this is the case for ora, with approximately 2,500 species identi ed (CONAGUA, 2020; Andrew et al 2012;Franklin et al, 2021).…”

Section: Introductionmentioning

confidence: 99%

Bacteria from the Sonoran Desert with nematicidal potential against phytopathogenic nematodes

Chavarria-Quicaño

Contreras-Jácquez

Carrillo-Fasio

et al. 2023

Preprint

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The use of microorganisms and/or their metabolites (e.g., Bacillus, Pseudomonas, etc.) has been proposed as an eco-friendly alternative for controlling phytopathogenic nematodes (PPNs). However, one of the challenges is that microorganisms can thrive in crops affected by climate change, salt stress and drought. Consequently, the search for microorganisms adapted to these conditions has attracted attention. Deserts are characterized by high temperatures, water scarcity, and high salinity, among other harsh conditions; hence, they are a perfect niche for isolating microorganisms adapted to extreme environments. The purpose of this work was to isolate and characterize bacteria from rhizospheric soil samples collected in the Sonoran Desert with the potential for PPN control. Approximately 100 thermotolerant bacteria were isolated, and among them the secretome of the strain identified as Bacillus paralicheniformis TB197 showed the highest nematicidal activity (96%) against Meloidogyne incognita in vitro. Additionally, in field assays, the TB197 secretome effectively suppressed infections caused by M. enterolobii. In greenhouse experiments, TB197 endospores reduced the severity of infection by 81% compared with the control (p≤0.05). Finally, the efficacy of TB197 endospores at the open field level was demonstrated against M. incognita in the tomato crop, where the galling index (GI) was reduced by 84%, and against Radopholus similisin the banana crop, where root necrosis was reduced by 81%, both compared with the controls (p≤0.05). Owing to their efficacy in controlling PNN infections, the endospores and secondary metabolites secreted by the B. paralicheniformis TB197 strain can be used to develop effective bionematicides.

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Local climatically-driven changes of albedo and surface temperatures in the Sonoran Desert

Cited by 12 publications

References 25 publications

Observational and model evidence together support wide-spread exposure to noncompensable heat under continued global warming

Observational and model evidence together support wide-spread exposure to noncompensable heat under continued global warming

Remote sensing‐based biological and nonbiological indices for evaluating desertification in Iran: Image versus field indices

Bacteria from the Sonoran Desert with nematicidal potential against phytopathogenic nematodes

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