A new global dataset of bioclimatic indicators

Noce, Sergio; Caporaso, Luca; Santini, Monia

doi:10.1038/s41597-020-00726-5

Cited by 54 publications

(57 citation statements)

References 56 publications

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“…Distributions of percentage changes (%) in the Aridity Index, shown as the difference between the period 2040-2079 and the present day . Future data on precipitation and PET used to construct the AI were retrieved from the CMCC-BioClimInd [9]. The dark brown colour indicates areas that are projected to be most affected by deserti cation.…”

Section: Discussionmentioning

confidence: 99%

“…Figure 7 GDP per capita cost due to soil aridi cation between 1990 and 2015 (left) and between the present day and 2079 in the world, Africa, and Asia. Future data on precipitation and PET used to construct the AI were retrieved from the CMCC-BioClimInd [9].…”

Section: Discussionmentioning

confidence: 99%

“…v. Finally, based on a recent dataset on future projections of precipitation and potential evapotranspiration [9], we predict that deserti cation would cost as much as 10% in terms of GDP per capita in Sub-Saharan Africa by 2079. These results are obtained using a baseline scenario that assumed a peak in greenhouse gas emissions by 2040, followed by a decline throughout the 21st century.…”

Section: Introductionmentioning

confidence: 90%

“…Average annual effects of Aridity Index on GDP per capita 2040-2079 (CMCC-BioClimInd -RCP 4.5 Projections). Future data on precipitation and PET used to construct the AI were retrieved from the CMCC-BioClimInd [9]. Note: The designations employed and the presentation of the material on this map do not…”

Section: Notementioning

confidence: 99%

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Long-term Economic Effects of Aridification on the GDPs of Africa and Asia

Malpede

Percoco

2021

SSRN Journal

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We examine the effects of human-induced deserti cation on economic growth by exploiting a 56 km-by-56 km grid-cell global dataset on the annual frequency from 1990-2015. We nd that areas that experienced large soil aridi cation are associated with a reduction in GDP per capita. Our results indicate that from 1990-2015, aridi cation reduced the GDPs of African and Asian countries by 12% and 2.7%, respectively. Our estimates are robust to adding higher-order terms of geo-climatic variables and controlling for country-speci c linear trends, which allows us to project future costs of deserti cation. Our ndings show that deserti cation will generate losses in GDP growth by 16% and 6.7% in Africa and Asia, respectively.

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Section: Discussionmentioning

confidence: 99%

Section: Discussionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 90%

Section: Notementioning

confidence: 99%

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Long-term Economic Effects of Aridification on the GDPs of Africa and Asia

Malpede

Percoco

2021

SSRN Journal

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“…The bioclimate indicators are generally used to represent the climatic characteristics that affect the biotic system (Attorre et al, 2007;Miguet and Groleau, 2007;Noce et al, 2020;Schröder et al, 2014). Therefore, changes in bioclimatic indicators can indicate the impacts of global warming-induced climate change on living things (Pour et al, 2020).…”

Section: Introductionmentioning

confidence: 99%

Selection of the Gridded Temperature Dataset for Assessment of Thermal Bioclimatic Environment Changes in Amu Darya River Basin

Salehie

Ismail

Shahid

et al. 2021

Preprint

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Assessment of the thermal bioclimatic environmental changes is important to understand ongoing climate change implications on agriculture, ecology, and human health. This is particularly important for the climatologically diverse transboundary Amy Darya River basin, a major source of water and livelihood for millions in Central Asia. However, the absence of longer period observed temperature data is a major obstacle for such analysis. This study employed a novel approach by integrating compromise programming (CP) and multicriteria group decision–making methods (MCGDM) to evaluate the efficiency of four global gridded temperature datasets based on observation data at 44 stations. The most reliable gridded data was used to assess the spatial distribution of global warming-induced unidirectional trends in thermal bioclimatic indicators (TBI) using a modified Mann-Kendall (MMK) test. Ranking of the products revealed Climate Prediction Center (CPC) temperature as most efficient in reconstruction observed temperature, followed by TerraClimate and Climate Research Unit (CRU). Assessment of TBI trends using CPC data revealed an increase in the minimum temperature in the coldest month over the whole basin at a rate of 0.03 to 0.08\(℃\) per decade, except in the east. Besides, an increase in diurnal temperature range and isothermally increased in the east up to 0.2\(℃\) and 0.6% per decade, respectively. The results revealed negative implications of thermal bioclimatic change on water, ecology, and public health in the eastern mountainous region and positive impacts on vegetation in the west and northwest.

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