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Cited by 1,122

The DOI matches its Crossref record; 83 of the 83 references it cites were found in a registry or an index.

Global Warming, Climate Change, and Environmental Pollution: Recipe for a Multifactorial Stress Combination Disaster

Open access
Zandalinas, Sara I., Fritschi, Felix B., Mittler, Ron·2021·Trends in Plant Science

Abstract

Global warming, climate change, and environmental pollution present plants with unique combinations of different abiotic and biotic stresses. Although much is known about how plants acclimate to each of these individual stresses, little is known about how they respond to a combination of many of these stress factors occurring together, namely a multifactorial stress combination. Recent studies revealed that increasing the number of different co-occurring multifactorial stress factors causes a severe decline in plant growth and survival, as well as in the microbiome biodiversity that plants depend upon. This effect should serve as a dire warning to our society and prompt us to decisively act to reduce pollutants, fight global warming, and augment the tolerance of crops to multifactorial stress combinations.

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Crossref · 10.1016/j.tplants.2021.02.011

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Metadata

Authors
Zandalinas, S. I., Fritschi, F. B., & Mittler, R.
Venue
Trends in Plant Science
Publisher
Elsevier BV
Published
2021-06
Volume
26
Issue
6
Pages
588-599
ISSN
1360-1385 (ISSN-L)
OpenAlex
W3138105444
Cited by
1,122
References
83
FWCI
26.62
Type
journal article
Language
en
Open access
hybrid

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CoChat. (2026). Citation check: Global Warming, Climate Change, and Environmental Pollution: Recipe for a Multifactorial Stress Combination Disaster. https://app.cochat.ai/papers/10.1016/j.tplants.2021.02.011
The paper
Zandalinas, S. I., Fritschi, F. B., & Mittler, R. (2021). Global Warming, Climate Change, and Environmental Pollution: Recipe for a Multifactorial Stress Combination Disaster. Trends in Plant Science. https://doi.org/10.1016/j.tplants.2021.02.011

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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).

Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.