5 results on '"Chalmandrier, Loïc"'
Search Results
2. Predictions of biodiversity are improved by integrating trait‐based competition with abiotic filtering.
- Author
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Chalmandrier, Loïc, Stouffer, Daniel B., Purcell, Adam S. T., Lee, William G., Tanentzap, Andrew J., Laughlin, Daniel C., and Mori, Akira
- Subjects
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NUMBERS of species , *FILTERS & filtration , *BIODIVERSITY , *COMPETITION (Biology) , *FORECASTING , *PLANT ecology - Abstract
All organisms must simultaneously tolerate the environment and access limiting resources if they are to persist. Approaches to understanding abiotic filtering and competitive interactions have generally been developed independently. Consequently, integrating those factors to predict species abundances and community structure remains an unresolved challenge. We introduce a new synthetic framework that models both abiotic filtering and competition by using functional traits. First, our framework estimates species carrying capacities along abiotic gradients. Second, it estimates pairwise competitive interactions as a function of species trait differences. Applied to the study of a complex wetland community, our combined approach more than doubles the explained variance of species abundances compared to a model of abiotic tolerances alone. Trait‐based integration of competitive interactions and abiotic filtering improves our ability to predict species abundances, bringing us closer to more accurate predictions of biodiversity structure in a changing world. [ABSTRACT FROM AUTHOR]
- Published
- 2022
- Full Text
- View/download PDF
3. Linking functional traits and demography to model species-rich communities.
- Author
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Chalmandrier, Loïc, Hartig, Florian, Laughlin, Daniel C., Lischke, Heike, Pichler, Maximilian, Stouffer, Daniel B., and Pellissier, Loïc
- Subjects
DEMOGRAPHY ,ECOSYSTEMS ,BIOTIC communities ,PLANT communities ,TRANSFER functions ,PLANT ecology - Abstract
It has long been anticipated that relating functional traits to species demography would be a cornerstone for achieving large-scale predictability of ecological systems. If such a relationship existed, species demography could be modeled only by measuring functional traits, transforming our ability to predict states and dynamics of species-rich communities with process-based community models. Here, we introduce a new method that links empirical functional traits with the demographic parameters of a process-based model by calibrating a transfer function through inverse modeling. As a case study, we parameterize a modified Lotka–Volterra model of a high-diversity mountain grassland with static plant community and functional trait data only. The calibrated trait–demography relationships are amenable to ecological interpretation, and lead to species abundances that fit well to the observed community structure. We conclude that our new method offers a general solution to bridge the divide between trait data and process-based models in species-rich ecosystems. Advances in process-based community ecology models are hindered by the challenge of linking functional traits to demography in species-rich systems, where a high number of parameters need to be estimated from limited data. Here the authors propose a new Bayesian framework to calibrate community models via functional traits, and validate it in a species-rich plant community. [ABSTRACT FROM AUTHOR]
- Published
- 2021
- Full Text
- View/download PDF
4. A global meta-analysis of the relative extent of intraspecific trait variation in plant communities.
- Author
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Siefert, Andrew, Violle, Cyrille, Chalmandrier, Loïc, Albert, Cécile H., Taudiere, Adrien, Fajardo, Alex, Aarssen, Lonnie W., Baraloto, Christopher, Carlucci, Marcos B., Cianciaruso, Marcus V., L. Dantas, Vinícius, Bello, Francesco, Duarte, Leandro D. S., Fonseca, Carlos R., Freschet, Grégoire T., Gaucherand, Stéphanie, Gross, Nicolas, Hikosaka, Kouki, Jackson, Benjamin, and Jung, Vincent
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PLANT ecology ,PLANT growth ,BIOTIC communities ,META-analysis ,LEAF morphology - Abstract
Recent studies have shown that accounting for intraspecific trait variation ( ITV) may better address major questions in community ecology. However, a general picture of the relative extent of ITV compared to interspecific trait variation in plant communities is still missing. Here, we conducted a meta-analysis of the relative extent of ITV within and among plant communities worldwide, using a data set encompassing 629 communities (plots) and 36 functional traits. Overall, ITV accounted for 25% of the total trait variation within communities and 32% of the total trait variation among communities on average. The relative extent of ITV tended to be greater for whole-plant (e.g. plant height) vs. organ-level traits and for leaf chemical (e.g. leaf N and P concentration) vs. leaf morphological (e.g. leaf area and thickness) traits. The relative amount of ITV decreased with increasing species richness and spatial extent, but did not vary with plant growth form or climate. These results highlight global patterns in the relative importance of ITV in plant communities, providing practical guidelines for when researchers should include ITV in trait-based community and ecosystem studies. [ABSTRACT FROM AUTHOR]
- Published
- 2015
- Full Text
- View/download PDF
5. Predictions of biodiversity are improved by integrating trait-based competition with abiotic filtering
- Author
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Purcell Ast, Daniel C. Laughlin, Loïc Chalmandrier, Daniel B. Stouffer, Andrew J. Tanentzap, William G. Lee, Chalmandrier, Loïc [0000-0002-2631-0432], Stouffer, Daniel B [0000-0001-9436-9674], Lee, William G [0000-0001-7717-0807], Tanentzap, Andrew J [0000-0002-2883-1901], Laughlin, Daniel C [0000-0002-9651-5732], and Apollo - University of Cambridge Repository
- Subjects
0106 biological sciences ,community modelling ,media_common.quotation_subject ,Biodiversity ,Biology ,010603 evolutionary biology ,01 natural sciences ,Competition (biology) ,species abundances ,abiotic filtering ,570 Biowissenschaften, Biologie ,ddc:580 ,functional trait ,plant ecology ,Organism ,Ecology, Evolution, Behavior and Systematics ,Ecosystem ,media_common ,Abiotic component ,Ecology ,010604 marine biology & hydrobiology ,Community structure ,15. Life on land ,Explained variation ,wetland ,580 Pflanzen (Botanik) ,Phenotype ,Trait ,Pairwise comparison ,ddc:570 ,abiotic filtering, community modelling, competition, functional trait, plant ecology, species abundances, wetland ,competition - Abstract
All organisms must simultaneously tolerate the environment and access limiting resources if they are to persist. Otherwise they go extinct. Approaches to understanding environmental tolerance and resource competition have generally been developed independently. Consequently, integrating the factors that determine abiotic tolerance with those that affect competitive interactions to model species abundances and community structure remains an unresolved challenge. This is likely the reason why current models of community assembly do not accurately predict species abundances and dynamics. Here, we introduce a new synthetic framework that models both abiotic tolerance and biotic competition by using functional traits, which are phenotypic attributes that influence organism fitness. First, our framework estimates species carrying capacities that vary along abiotic gradients based on whether the phenotype tolerates the local environment. Second, it estimates pairwise competitive interactions as a function of multidimensional trait differences between species and determines which trait combinations produce the most competitive phenotypes. We demonstrate that our combined approach more than doubles the explained variance of species covers in a wetland community compared to the model of abiotic tolerances alone. Trait-based integration of competitive interactions and abiotic filtering improves our ability to predict species abundances across space, bringing us closer to more accurate predictions of biodiversity structure in a changing world.
- Published
- 2022
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