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  Increased heat stress reduces future yields of three major crops in Pakistan’s Punjab region despite intensification of irrigation

Becker, R., Schüth, C., Merz, R., Khaliq, T., Usman, M., Beek, T. a. d., Kumar, R., Schulz, S. (2023): Increased heat stress reduces future yields of three major crops in Pakistan’s Punjab region despite intensification of irrigation. - Agricultural Water Management, 281, 108243.
https://doi.org/10.1016/j.agwat.2023.108243

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becker_2023_Increased heat stress reduces future yields in Pakistan-1.pdf (Publisher version), 6MB
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https://doi.org/10.5281/zenodo.4603703 (Supplementary material)
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This repository contains the data presented in the figures of the paper "Increased temperature stress reduces future yields despite intensification of irrigation", by Becker. R. et al.

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 Creators:
Becker, Rike1, Author              
Schüth, Christoph2, Author
Merz, Ralf2, Author
Khaliq, Tasneem2, Author
Usman, Muhammad2, Author
Beek, Tim aus der2, Author
Kumar, Rohini2, Author
Schulz, Stephan2, Author
Affiliations:
1Potsdam Institute for Climate Impact Research, Potsdam, ou_persistent13              
2External Organizations, ou_persistent22              

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Free keywords: Regional climate change, Yield, Water demand, SWAT, APSIM
 Abstract: Climate change and variability threaten the sustainability of future food production, especially in semi-arid regions where water resources are limited and irrigated agriculture is widespread. Increasing temperatures will exacerbate evaporative losses and increase plant water needs. In this regard, higher irrigation intensities have been posited as a solution to mitigate climate change impacts in these regions. Here, using the agro-hydrological model SWAT and the biophysical crop model APSIM, we show that this mitigation measure is oversimplified. We find that heat stress, driven by strong temperature increases, might be the dominating factor in controlling future crop yields and plant water needs. Our analysis encompasses agricultural areas of the Lower Chenab Canal System in Punjab, Pakistan (15,000 km2), which is part of the Indus River irrigation system, the largest irrigation system in the world, covering major cotton, rice and maize cropping zones. Climate models project a strong increase in temperature over the study region of up to 1.8 °C (±0.5 °C) until the mid-century. Both models predict a decline in future crop yields for maize and rice crops, while cotton yields are less effected by rising temperatures and strongly benefit from elevated atmospheric CO2 concentrations. For a high carbon emission scenario, the models simulate yield declines for maize of up to −10% (APSIM) and −19% (SWAT); for rice yields of up to −4% (APSIM) to −26% (SWAT), and for cotton yields of −1% (APSIM) to +11% (SWAT), until 2050, relative to the baseline scenario 1996–2005. Our modeling results further suggest that irrigation demands do not align with increasing temperature trends. Average irrigation demands increase less under higher temperatures. Overall, our study emphasizes the role of elevated heat stress, its effects on agricultural productivity as well as water demand, and its implications for climate change adaption strategies to mitigate adverse impacts in an intensively irrigated region.

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Language(s): eng - English
 Dates: 2022-12-202023-02-222023-02-272023-05
 Publication Status: Finally published
 Pages: 12
 Publishing info: -
 Table of Contents: -
 Rev. Type: Peer
 Identifiers: DOI: 10.1016/j.agwat.2023.108243
Organisational keyword: RD2 - Climate Resilience
PIKDOMAIN: RD2 - Climate Resilience
Working Group: Adaptation in Agricultural Systems
MDB-ID: No MDB - stored outside PIK (see DOI)
Research topic keyword: Food & Agriculture
Regional keyword: Asia
Model / method: Model Intercomparison
OATYPE: Gold Open Access
 Degree: -

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Title: Agricultural Water Management
Source Genre: Journal, SCI, Scopus, oa as of 2023
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Pages: - Volume / Issue: 281 Sequence Number: 108243 Start / End Page: - Identifier: CoNE: https://publications.pik-potsdam.de/cone/journals/resource/180814
Publisher: Elsevier