Love thy neighbour? Tropical tree growth and its response to climate anomalies is mediated by neighbourhood hierarchy and dissimilarity in carbon and water related traits. Article Swipe
Daniela Nemetschek
,
Claire Fortunel
,
Éric Marcon
,
Johanna Auer
,
Vincyane Badouard
,
Christopher Baraloto
,
Marion Boisseaux
,
Damien Bonal
,
Sabrina Coste
,
Elia Dardevette
,
Patrick Heuret
,
Peter Hietz
,
Sébastien Levionnois
,
Isabelle Maréchaux
,
Clément Stahl
,
Jason Vleminckx
,
Wolfgang Wanek
,
Camille Ziegler
,
Géraldine Derroire
·
YOU?
·
· 2024
· Open Access
·
· DOI: https://doi.org/10.22541/au.171366417.71658960/v1
YOU?
·
· 2024
· Open Access
·
· DOI: https://doi.org/10.22541/au.171366417.71658960/v1
Taxonomic diversity effects on forest productivity and response to climate extremes range from positive to negative, suggesting a key role for complex interactions among neighbouring trees. To elucidate how neutral interactions, hierarchical competition and resource partitioning between neighbours shape tree growth and climate response in a highly diverse Amazonian forest, we combined 30 years of tree censuses with measurements of water and carbon related traits. We modelled individual tree growth response to climate and neighbourhood to disentangle the relative effect of neighbourhood densities, trait hierarchies and dissimilarities. While neighbourhood densities consistently decreased tree growth, trait dissimilarity increased it, and both influenced climate response. Greater water conservatism provided a competitive advantage to focal trees in normal years, but water spender neighbours reduced this effect in dry years. By highlighting the importance of density and trait-mediated neighbourhood interactions, our study offers a way towards improving predictions of forest response to climate change.
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- Type
- preprint
- Language
- en
- Landing Page
- https://doi.org/10.22541/au.171366417.71658960/v1
- https://advance.sagepub.com/doi/pdf/10.22541/au.171366417.71658960
- OA Status
- gold
- Cited By
- 1
- References
- 91
- Related Works
- 10
- OpenAlex ID
- https://openalex.org/W4394988536
All OpenAlex metadata
Raw OpenAlex JSON
- OpenAlex ID
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https://openalex.org/W4394988536Canonical identifier for this work in OpenAlex
- DOI
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https://doi.org/10.22541/au.171366417.71658960/v1Digital Object Identifier
- Title
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Love thy neighbour? Tropical tree growth and its response to climate anomalies is mediated by neighbourhood hierarchy and dissimilarity in carbon and water related traits.Work title
- Type
-
preprintOpenAlex work type
- Language
-
enPrimary language
- Publication year
-
2024Year of publication
- Publication date
-
2024-04-21Full publication date if available
- Authors
-
Daniela Nemetschek, Claire Fortunel, Éric Marcon, Johanna Auer, Vincyane Badouard, Christopher Baraloto, Marion Boisseaux, Damien Bonal, Sabrina Coste, Elia Dardevette, Patrick Heuret, Peter Hietz, Sébastien Levionnois, Isabelle Maréchaux, Clément Stahl, Jason Vleminckx, Wolfgang Wanek, Camille Ziegler, Géraldine DerroireList of authors in order
- Landing page
-
https://doi.org/10.22541/au.171366417.71658960/v1Publisher landing page
- PDF URL
-
https://advance.sagepub.com/doi/pdf/10.22541/au.171366417.71658960Direct link to full text PDF
- Open access
-
YesWhether a free full text is available
- OA status
-
goldOpen access status per OpenAlex
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https://advance.sagepub.com/doi/pdf/10.22541/au.171366417.71658960Direct OA link when available
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Neighbourhood (mathematics), Trait, Climate change, Ecology, Geography, Biology, Mathematics, Computer science, Mathematical analysis, Programming languageTop concepts (fields/topics) attached by OpenAlex
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1Total citation count in OpenAlex
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2025: 1Per-year citation counts (last 5 years)
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91Number of works referenced by this work
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10Other works algorithmically related by OpenAlex
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| abstract_inverted_index.among | 23 |
| abstract_inverted_index.focal | 111 |
| abstract_inverted_index.range | 11 |
| abstract_inverted_index.shape | 38 |
| abstract_inverted_index.study | 137 |
| abstract_inverted_index.trait | 83, 94 |
| abstract_inverted_index.trees | 112 |
| abstract_inverted_index.water | 60, 104, 117 |
| abstract_inverted_index.years | 53 |
| abstract_inverted_index.carbon | 62 |
| abstract_inverted_index.effect | 79, 122 |
| abstract_inverted_index.forest | 4, 145 |
| abstract_inverted_index.growth | 40, 69 |
| abstract_inverted_index.highly | 46 |
| abstract_inverted_index.normal | 114 |
| abstract_inverted_index.offers | 138 |
| abstract_inverted_index.trees. | 25 |
| abstract_inverted_index.years, | 115 |
| abstract_inverted_index.years. | 125 |
| abstract_inverted_index.Greater | 103 |
| abstract_inverted_index.between | 36 |
| abstract_inverted_index.change. | 149 |
| abstract_inverted_index.climate | 9, 42, 72, 101, 148 |
| abstract_inverted_index.complex | 21 |
| abstract_inverted_index.density | 131 |
| abstract_inverted_index.diverse | 47 |
| abstract_inverted_index.effects | 2 |
| abstract_inverted_index.forest, | 49 |
| abstract_inverted_index.growth, | 93 |
| abstract_inverted_index.neutral | 29 |
| abstract_inverted_index.reduced | 120 |
| abstract_inverted_index.related | 63 |
| abstract_inverted_index.spender | 118 |
| abstract_inverted_index.towards | 141 |
| abstract_inverted_index.traits. | 64 |
| abstract_inverted_index.censuses | 56 |
| abstract_inverted_index.combined | 51 |
| abstract_inverted_index.extremes | 10 |
| abstract_inverted_index.modelled | 66 |
| abstract_inverted_index.positive | 13 |
| abstract_inverted_index.provided | 106 |
| abstract_inverted_index.relative | 78 |
| abstract_inverted_index.resource | 34 |
| abstract_inverted_index.response | 7, 43, 70, 146 |
| abstract_inverted_index.Amazonian | 48 |
| abstract_inverted_index.Taxonomic | 0 |
| abstract_inverted_index.advantage | 109 |
| abstract_inverted_index.decreased | 91 |
| abstract_inverted_index.densities | 89 |
| abstract_inverted_index.diversity | 1 |
| abstract_inverted_index.elucidate | 27 |
| abstract_inverted_index.improving | 142 |
| abstract_inverted_index.increased | 96 |
| abstract_inverted_index.negative, | 15 |
| abstract_inverted_index.response. | 102 |
| abstract_inverted_index.densities, | 82 |
| abstract_inverted_index.importance | 129 |
| abstract_inverted_index.individual | 67 |
| abstract_inverted_index.influenced | 100 |
| abstract_inverted_index.neighbours | 37, 119 |
| abstract_inverted_index.suggesting | 16 |
| abstract_inverted_index.competition | 32 |
| abstract_inverted_index.competitive | 108 |
| abstract_inverted_index.disentangle | 76 |
| abstract_inverted_index.hierarchies | 84 |
| abstract_inverted_index.predictions | 143 |
| abstract_inverted_index.conservatism | 105 |
| abstract_inverted_index.consistently | 90 |
| abstract_inverted_index.hierarchical | 31 |
| abstract_inverted_index.highlighting | 127 |
| abstract_inverted_index.interactions | 22 |
| abstract_inverted_index.measurements | 58 |
| abstract_inverted_index.neighbouring | 24 |
| abstract_inverted_index.partitioning | 35 |
| abstract_inverted_index.productivity | 5 |
| abstract_inverted_index.dissimilarity | 95 |
| abstract_inverted_index.interactions, | 30, 135 |
| abstract_inverted_index.neighbourhood | 74, 81, 88, 134 |
| abstract_inverted_index.trait-mediated | 133 |
| abstract_inverted_index.dissimilarities. | 86 |
| cited_by_percentile_year.max | 95 |
| cited_by_percentile_year.min | 91 |
| countries_distinct_count | 6 |
| institutions_distinct_count | 19 |
| sustainable_development_goals[0].id | https://metadata.un.org/sdg/13 |
| sustainable_development_goals[0].score | 0.699999988079071 |
| sustainable_development_goals[0].display_name | Climate action |
| citation_normalized_percentile.value | 0.56723982 |
| citation_normalized_percentile.is_in_top_1_percent | False |
| citation_normalized_percentile.is_in_top_10_percent | False |