Isohydricity and hydraulic isolation explain reduced hydraulic failure risk in an experimental tree species mixture Article Swipe
Myriam Moreno
,
Guillaume Simioni
,
Hervé Cochard
,
Claude Doussan
,
Joannès Guillemot
,
Renaud Decarsin
,
Pilar Fernández‐Conradi
,
Jean‐Luc Dupuy
,
Santiago Trueba
,
François Pimont
,
Julien Ruffault
,
Frédéric Jean
,
Olivier Marloie
,
Nicolas Martin‐StPaul
·
YOU?
·
· 2024
· Open Access
·
· DOI: https://doi.org/10.1093/plphys/kiae239
YOU?
·
· 2024
· Open Access
·
· DOI: https://doi.org/10.1093/plphys/kiae239
Species mixture is promoted as a crucial management option to adapt forests to climate change. However, there is little consensus on how tree diversity affects tree water stress, and the underlying mechanisms remain elusive. By using a greenhouse experiment and a soil-plant-atmosphere hydraulic model, we explored whether and why mixing the isohydric Aleppo pine (Pinus halepensis, drought avoidant) and the anisohydric holm oak (Quercus ilex, drought tolerant) affects tree water stress during extreme drought. Our experiment showed that the intimate mixture strongly alleviated Q. ilex water stress while it marginally impacted P. halepensis water stress. Three mechanistic explanations for this pattern are supported by our modeling analysis. First, the difference in stomatal regulation between species allowed Q. ilex trees to benefit from additional soil water in mixture, thereby maintaining higher water potentials and sustaining gas exchange. By contrast, P. halepensis exhibited earlier water stress and stomatal regulation. Second, P. halepensis trees showed stable water potential during drought, although soil water potential strongly decreased, even when grown in a mixture. Model simulations suggested that hydraulic isolation of the root from the soil associated with decreased leaf cuticular conductance was a plausible explanation for this pattern. Third, the higher predawn water potentials for a given soil water potential observed for Q. ilex in mixture can—according to model simulations—be explained by increased soil-to-root conductance, resulting from higher fine root length. This study brings insights into the mechanisms involved in improved drought resistance of mixed species forests.
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- Type
- article
- Language
- en
- Landing Page
- https://doi.org/10.1093/plphys/kiae239
- https://academic.oup.com/plphys/advance-article-pdf/doi/10.1093/plphys/kiae239/57678456/kiae239.pdf
- OA Status
- hybrid
- Cited By
- 12
- References
- 60
- Related Works
- 10
- OpenAlex ID
- https://openalex.org/W4396921093
All OpenAlex metadata
Raw OpenAlex JSON
- OpenAlex ID
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https://openalex.org/W4396921093Canonical identifier for this work in OpenAlex
- DOI
-
https://doi.org/10.1093/plphys/kiae239Digital Object Identifier
- Title
-
Isohydricity and hydraulic isolation explain reduced hydraulic failure risk in an experimental tree species mixtureWork title
- Type
-
articleOpenAlex work type
- Language
-
enPrimary language
- Publication year
-
2024Year of publication
- Publication date
-
2024-05-15Full publication date if available
- Authors
-
Myriam Moreno, Guillaume Simioni, Hervé Cochard, Claude Doussan, Joannès Guillemot, Renaud Decarsin, Pilar Fernández‐Conradi, Jean‐Luc Dupuy, Santiago Trueba, François Pimont, Julien Ruffault, Frédéric Jean, Olivier Marloie, Nicolas Martin‐StPaulList of authors in order
- Landing page
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https://doi.org/10.1093/plphys/kiae239Publisher landing page
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https://academic.oup.com/plphys/advance-article-pdf/doi/10.1093/plphys/kiae239/57678456/kiae239.pdfDirect link to full text PDF
- Open access
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YesWhether a free full text is available
- OA status
-
hybridOpen access status per OpenAlex
- OA URL
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https://academic.oup.com/plphys/advance-article-pdf/doi/10.1093/plphys/kiae239/57678456/kiae239.pdfDirect OA link when available
- Concepts
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Isolation (microbiology), Tree (set theory), Environmental science, Biology, Mathematics, Bioinformatics, CombinatoricsTop concepts (fields/topics) attached by OpenAlex
- Cited by
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12Total citation count in OpenAlex
- Citations by year (recent)
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2025: 8, 2024: 4Per-year citation counts (last 5 years)
- References (count)
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60Number of works referenced by this work
- Related works (count)
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10Other works algorithmically related by OpenAlex
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| abstract_inverted_index.tolerant) | 67 |
| abstract_inverted_index.additional | 123 |
| abstract_inverted_index.alleviated | 83 |
| abstract_inverted_index.associated | 182 |
| abstract_inverted_index.decreased, | 163 |
| abstract_inverted_index.difference | 110 |
| abstract_inverted_index.experiment | 39, 76 |
| abstract_inverted_index.greenhouse | 38 |
| abstract_inverted_index.halepensis | 93, 140, 150 |
| abstract_inverted_index.management | 8 |
| abstract_inverted_index.marginally | 90 |
| abstract_inverted_index.mechanisms | 32, 234 |
| abstract_inverted_index.potentials | 132, 200 |
| abstract_inverted_index.regulation | 113 |
| abstract_inverted_index.resistance | 239 |
| abstract_inverted_index.sustaining | 134 |
| abstract_inverted_index.underlying | 31 |
| abstract_inverted_index.anisohydric | 61 |
| abstract_inverted_index.conductance | 187 |
| abstract_inverted_index.explanation | 191 |
| abstract_inverted_index.halepensis, | 56 |
| abstract_inverted_index.maintaining | 129 |
| abstract_inverted_index.mechanistic | 97 |
| abstract_inverted_index.regulation. | 147 |
| abstract_inverted_index.simulations | 171 |
| abstract_inverted_index.conductance, | 221 |
| abstract_inverted_index.explanations | 98 |
| abstract_inverted_index.soil-to-root | 220 |
| abstract_inverted_index.can—according | 213 |
| abstract_inverted_index.simulations—be | 216 |
| abstract_inverted_index.soil-plant-atmosphere | 42 |
| cited_by_percentile_year.max | 99 |
| cited_by_percentile_year.min | 97 |
| corresponding_author_ids | https://openalex.org/A5103866940 |
| countries_distinct_count | 2 |
| institutions_distinct_count | 14 |
| corresponding_institution_ids | https://openalex.org/I4210088668, https://openalex.org/I4210114092, https://openalex.org/I4210155578 |
| citation_normalized_percentile.value | 0.94947168 |
| citation_normalized_percentile.is_in_top_1_percent | False |
| citation_normalized_percentile.is_in_top_10_percent | True |