World Atlas of Desertification

Pye, Norman; Middleton, Nick; Thomas, David S.G.

doi:10.2307/3060098

Cited by 137 publications

(43 citation statements)

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“…The AI is therefore calculated by dividing the annual mean precipitation by the annual mean potential evapotranspiration

{PET}_{a}^{'}

, which is adjusted for variable durations of daylight for different latitudes and length of the months during the course of a year. The method follows the World Atlas of Desertification by the United Nations Environment Programme (UNEP, 1997):

AI goodbreak= \frac{P_{a}}{{PET}_{a}^{'}}

…”

Section: Methodsmentioning

confidence: 99%

“…For calculating monthly unadjusted potential evapotranspiration (PET, in mm), a modified version of Thornthwaite's method (Thornthwaite, 1948; Van Der Schrier et al, 2011; Willmott et al, 1985) was used following UNEP's World Atlas of Desertification (UNEP, 1997). Using the more sophisticated Penman's method (Penman, 1948) instead would require meteorological measurements (e.g., wind velocity) that are not readily available from the E‐OBS dataset for the study area.

PET goodbreak= ({, \begin{matrix} 0 \\ 16 {()(, \frac{10 T}{I})}^{a} \\ - 415.85 + 32.24 T - 0.43 T^{2} \end{matrix}) \begin{matrix} true \\ T < 0 ° C \\ 0 ° C \leq T < 26.5 ° C \\ T \geq 26.5 ° C \end{matrix}

where 𝑇 is the monthly mean temperature in °C,

I goodbreak= \sum_{i = 1}^{12} {(\frac{T}{5})}^{1.514}

and

a goodbreak= 6.75 goodbreak\times 10^{- 7} goodbreak\times I^{3} goodbreak- 7.71 goodbreak\times 10^{- 5} goodbreak\times I^{2} goodbreak+ 1.79 goodbreak\times 10^{- 2} goodbreak\times I goodbreak+ 0.49

…”

Section: Methodsmentioning

confidence: 99%

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Climate‐based identification of suitable cropping areas for giant reed and reed canary grass on marginal land in Central and Southern Europe under climate change

et al. 2023

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The climate crisis is already affecting the lives of millions of people, and global warming of 1.5°C and even 2°C will be exceeded during the 21st century if no adequate measures are implemented soon (IPCC, 2021(IPCC, , 2022a. Humanity will face far-reaching consequences should we fail to take action, for example, increased frequency and intensity of hot extremes, heavy precipitation, or agricultural droughts, thus threatening food security. Illustrative Mitigation Pathways of the recent International Panel of Climate Change (IPCC) Sixth Assessment Report (AR6; IPCC, 2022b), which aim to limit global warming to likely below 2°C, require net-zero carbon emissions by 2080 at

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“…The AI is therefore calculated by dividing the annual mean precipitation by the annual mean potential evapotranspiration

{PET}_{a}^{'}

AI goodbreak= \frac{P_{a}}{{PET}_{a}^{'}}

…”

Section: Methodsmentioning

confidence: 99%

PET goodbreak= ({, \begin{matrix} 0 \\ 16 {()(, \frac{10 T}{I})}^{a} \\ - 415.85 + 32.24 T - 0.43 T^{2} \end{matrix}) \begin{matrix} true \\ T < 0 ° C \\ 0 ° C \leq T < 26.5 ° C \\ T \geq 26.5 ° C \end{matrix}

where 𝑇 is the monthly mean temperature in °C,

I goodbreak= \sum_{i = 1}^{12} {(\frac{T}{5})}^{1.514}

and

a goodbreak= 6.75 goodbreak\times 10^{- 7} goodbreak\times I^{3} goodbreak- 7.71 goodbreak\times 10^{- 5} goodbreak\times I^{2} goodbreak+ 1.79 goodbreak\times 10^{- 2} goodbreak\times I goodbreak+ 0.49

…”

Section: Methodsmentioning

confidence: 99%

Climate‐based identification of suitable cropping areas for giant reed and reed canary grass on marginal land in Central and Southern Europe under climate change

et al. 2023

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“…We selected 54 sites along a regional climatic gradient (Fig. S1) through a stratified random selection approach based on the United Nations aridity index (AI, Middleton and Thomas, 1997). We retrieved AI data for each site from the global aridity database (http://www.cgiar-csi.org/data/global-aridity-and-pet-database, Trabucco and Zomer, 2009).…”

Section: Study Sites and Vegetation Samplingmentioning

confidence: 99%

Phylogenetic structure of understorey annual and perennial plant species reveals opposing responses to aridity in a Mediterranean biodiversity hotspot

Massante

Köbel

Pinho

et al. 2021

Science of The Total Environment

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“…Desertification is defined as land degradation characterized by wind erosion, resulting from climate change and human activities, and mainly occurs in the arid, semi-arid, and semi-humid regions of northern China [1,2]. China is one of the countries most seriously affected by desertification in the world, and the area of the Gobi desert and desertified land in China is about 1.7 × 10 6 km 2 [3].…”

Section: Introductionmentioning

confidence: 99%

“…China is one of the countries most seriously affected by desertification in the world, and the area of the Gobi desert and desertified land in China is about 1.7 × 10 6 km 2 [3]. The average annual growth rate of desertification increased from 2100 km 2 through 1976-1988 to 3600 km 2 recently [4]. Zhao [5] investigated the changes in soil resulting from desertification, and found that the soil environment had degraded significantly due to wind erosion.…”

Section: Introductionmentioning

confidence: 99%

Influence of Fly Ash and Polyacrylamide Mixtures on Growth Properties of Artemisia ordosica in the Desert Region of North China

Niu

Tang

2021

Agronomy

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This study investigated the effects of consolidated soil layer (CSL) composed of fly ash (FA) and polyacrylamide (PAM) on the growth of Artemisia ordosica through plot experiments in Inner Mongolia, North China. It could provide a feasibility reference for ecological restoration and combating desertification in the desert areas. The germination and growth characteristics of Artemisia ordosica were studied in the control soil and 6 kinds of CSL, which were formed with 3 addition rates of FA (5%, 10%, and 15% (w/w) soil) and 2 addition rates of PAM (0.006% and 0.012% (w/w) soil). The results showed that CSL could provide good growth conditions for Artemisia ordosica in arid regions, especially for plant height, basal diameter, total fresh weight, and total dry weight in F5P1 as seen in 2017 and 2018. The FA, the PAM, and the interaction of FA and PAM all had significant impacts on the percentage of seedling emergence and total fresh weight (p < 0.05). The effects of CSL on the emergence and growth properties of Artemisia ordosica were evaluated by principal component analysis, and the CSL consisting of 5% FA and 0.006% PAM was recommended for plant growth.

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World Atlas of Desertification

Cited by 137 publications

References 0 publications

Climate‐based identification of suitable cropping areas for giant reed and reed canary grass on marginal land in Central and Southern Europe under climate change

Climate‐based identification of suitable cropping areas for giant reed and reed canary grass on marginal land in Central and Southern Europe under climate change

Phylogenetic structure of understorey annual and perennial plant species reveals opposing responses to aridity in a Mediterranean biodiversity hotspot

Influence of Fly Ash and Polyacrylamide Mixtures on Growth Properties of Artemisia ordosica in the Desert Region of North China

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