Evidence map›Paper›PMID 36456635›Full record

ArticleScientific reports2022

Interrelations of vegetation growth and water scarcity in Iran revealed by satellite time series.

Robert Behling, Sigrid Roessner, Saskia Foerster, Peyman Saemian, Mohammad J Tourian, Tanja C Portele, Christof Lorenz

Abstract read
In one paragraph

Article in Scientific reports, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
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1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

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Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

2 citing papers in PubMed.

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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

7 authors.

Robert BehlingRemote Sensing and Geoinformatics Section, Helmholtz Centre Potsdam GFZ German Research Centre for Geosciences, Potsdam, Germany. robert.behling@gfz-potsdam.de.
Sigrid RoessnerRemote Sensing and Geoinformatics Section, Helmholtz Centre Potsdam GFZ German Research Centre for Geosciences, Potsdam, Germany.
Saskia FoersterRemote Sensing and Geoinformatics Section, Helmholtz Centre Potsdam GFZ German Research Centre for Geosciences, Potsdam, Germany.
Peyman SaemianInstitute of Geodesy, University of Stuttgart, Stuttgart, Germany.
Mohammad J TourianInstitute of Geodesy, University of Stuttgart, Stuttgart, Germany.
Tanja C PorteleKarlsruhe Institute of Technology (KIT), Campus Alpin, Institute of Meteorology and Climate Research - Atmospheric Environmental Research (IMK-IFU), Garmisch-Partenkirchen, Germany.
Christof LorenzKarlsruhe Institute of Technology (KIT), Campus Alpin, Institute of Meteorology and Climate Research - Atmospheric Environmental Research (IMK-IFU), Garmisch-Partenkirchen, Germany.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Iran has experienced a drastic increase in water scarcity in the last decades. The main driver has been the substantial unsustainable water consumption of the agricultural sector. This study quantifies the spatiotemporal dynamics of Iran's hydrometeorological water availability, land cover, and vegetation growth and evaluates their interrelations with a special focus on agricultural vegetation developments. It analyzes globally available reanalysis climate data and satellite time series data and products, allowing a country-wide investigation of recent 20+ years at detailed spatial and temporal scales. The results reveal a wide-spread agricultural expansion (27,000 km[Formula: see text]) and a significant cultivation intensification (48,000 km[Formula: see text]). At the same time, we observe a substantial decline in total water storage that is not represented by a decrease of meteorological water input, confirming an unsustainable use of groundwater mainly for agricultural irrigation. As consequence of water scarcity, we identify agricultural areas with a loss or reduction of vegetation growth (10,000 km[Formula: see text]), especially in irrigated agricultural areas under (hyper-)arid conditions. In Iran's natural biomes, the results show declining trends in vegetation growth and land cover degradation from sparse vegetation to barren land in 40,000 km[Formula: see text], mainly along the western plains and foothills of the Zagros Mountains, and at the same time wide-spread greening trends, particularly in regions of higher altitudes. Overall, the findings provide detailed insights in vegetation-related causes and consequences of Iran's anthropogenic drought and can support sustainable management plans for Iran or other semi-arid regions worldwide, often facing similar conditions.

Indexed as

Agricultural IrrigationWater InsecurityDesert ClimateIranTime Factors

Identifiers

PMID36456635
PMCPMC9715656

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