Plant antagonistic facilitation across environmental gradients: a soil‐resource ecosystem engineering model

Theory questions the persistence of nonreciprocal interactions in which one plant has a positive net effect on a neighbor that, in return, has a negative net impact on its benefactor - a phenomenon known as antagonistic facilitation. We develop a spatially explicit consumer-resource model for belowground plant competition between ecosystem engineers, plants able to mine resources and make them available for any other plant in the community, and exploiters. We use the model to determine in what environmental conditions antagonistic facilitation via soil-resource engineering emerges as an optimal strategy. Antagonistic facilitation emerges in stressful environments where ecosystem engineers' self-benefits from mining resources outweigh the competition with opportunistic neighbors. Among all potential causes of stress considered in the model, the key environmental parameter driving changes in the interaction between plants is the proportion of the resource that becomes readily available for plant consumption in the absence of any mining activity. Our results align with theories of primary succession and the stress gradient hypothesis. However, we find that the total root biomass and its spatial allocation through the root system, often used to measure the sign of the interaction between plants, do not predict facilitation reliably.

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Publication Details

Journal
New Phytologist
Published
2024-08-21
DOI
https://doi.org/10.1111/nph.20053
Citations
3
Primary Topic
Ecosystem dynamics and resilience
Type
article
Field-Weighted Citation Impact
0.85

Funders

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article

Plant antagonistic facilitation across environmental gradients: a soil‐resource ecosystem engineering model

Ricardo Martínez‐García, Ciro Cabal, Gabriel Andreguetto Maciel
3 citations
New Phytologist
Ecosystem dynamics and resilience
0.85
article

Plant antagonistic facilitation across environmental gradients: a soil‐resource ecosystem engineering model

Ricardo Martínez‐García, Ciro Cabal, Gabriel Andreguetto Maciel
article en
3 citations

Abstract

Theory questions the persistence of nonreciprocal interactions in which one plant has a positive net effect on a neighbor that, in return, has a negative net impact on its benefactor - a phenomenon known as antagonistic facilitation. We develop a spatially explicit consumer-resource model for belowground plant competition between ecosystem engineers, plants able to mine resources and make them available for any other plant in the community, and exploiters. We use the model to determine in what environmental conditions antagonistic facilitation via soil-resource engineering emerges as an optimal strategy. Antagonistic facilitation emerges in stressful environments where ecosystem engineers' self-benefits from mining resources outweigh the competition with opportunistic neighbors. Among all potential causes of stress considered in the model, the key environmental parameter driving changes in the interaction between plants is the proportion of the resource that becomes readily available for plant consumption in the absence of any mining activity. Our results align with theories of primary succession and the stress gradient hypothesis. However, we find that the total root biomass and its spatial allocation through the root system, often used to measure the sign of the interaction between plants, do not predict facilitation reliably.

New PhytologistVol. 244(2)
Universidad Rey Juan Carlos (ES), Princeton University (US), Helmholtz-Zentrum Dresden-Rossendorf (DE), Center for Advanced Systems Understanding (DE), Universidade Estadual Paulista (Unesp) (BR)
Simons Foundation, Bundesministerium für Bildung und Forschung, Ministerio de Ciencia e Innovación, Sächsisches Staatsministerium für Wissenschaft und Kunst, Agencia Estatal de Investigación, Centros de Pesquisa, Inovação e Difusão, Fundação Amazônia Paraense de Amparo à Pesquisa
Responsible consumption and production
Openalex Percentile: Top 28%
Ecosystem dynamics and resilience
0.85
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