Specialization refers to a species adaptation to a restricted range of environmental conditions. While generalist species are able to exploit a wide variety of resources in a broad range of habitats, specialist species tend to have narrower niche breadths. From an evolutionary perspective, specialization is the result of a functional syndrome in which a suite of traits covary to allow the effective exploitation of specific resources. Accordingly, the measurement of specialization should be based on a multi-trait approach. In plant ecology, a well-known classification of the adaptive strategies of plants is Grime's competitor, stress tolerator, ruderal (CSR) theory in which the three principal strategies represent relatively easily measurable trait combinations from the global spectrum of plant form and function arising under conditions of competition, abiotic restriction to growth or periodic disturbance, respectively. In this paper, we thus introduce a method to summarize the functional specialization of plant species and communities by applying inequality measures to Grime's CSR strategies. The general idea is that a plant species that can be exclusively assigned to one CSR strategy can be considered a specialist (as it adopts only one adaptive strategy to access resources), while species that share functional characteristics of multiple CSR strategies can be considered more generalist. The behavior of the proposed measures is shown with one case study on the functional changes of six Alpine vegetation types ordered along a gradient, from pioneer to more stable communities.

Quantifying the extent of plant functional specialization using Grime's CSR strategies / Ricotta, C.; Dalle Fratte, M.; Pierce, S.; Carboni, M.; Cerabolini, B. E. L.; Pavoine, S.. - In: ECOLOGICAL INDICATORS. - ISSN 1470-160X. - 148:(2023). [10.1016/j.ecolind.2023.110066]

Quantifying the extent of plant functional specialization using Grime's CSR strategies

Ricotta C.
;
2023

Abstract

Specialization refers to a species adaptation to a restricted range of environmental conditions. While generalist species are able to exploit a wide variety of resources in a broad range of habitats, specialist species tend to have narrower niche breadths. From an evolutionary perspective, specialization is the result of a functional syndrome in which a suite of traits covary to allow the effective exploitation of specific resources. Accordingly, the measurement of specialization should be based on a multi-trait approach. In plant ecology, a well-known classification of the adaptive strategies of plants is Grime's competitor, stress tolerator, ruderal (CSR) theory in which the three principal strategies represent relatively easily measurable trait combinations from the global spectrum of plant form and function arising under conditions of competition, abiotic restriction to growth or periodic disturbance, respectively. In this paper, we thus introduce a method to summarize the functional specialization of plant species and communities by applying inequality measures to Grime's CSR strategies. The general idea is that a plant species that can be exclusively assigned to one CSR strategy can be considered a specialist (as it adopts only one adaptive strategy to access resources), while species that share functional characteristics of multiple CSR strategies can be considered more generalist. The behavior of the proposed measures is shown with one case study on the functional changes of six Alpine vegetation types ordered along a gradient, from pioneer to more stable communities.
2023
community-level specialization; concentration measures; extent of trait variation; functional diversity; species-level specialization
01 Pubblicazione su rivista::01a Articolo in rivista
Quantifying the extent of plant functional specialization using Grime's CSR strategies / Ricotta, C.; Dalle Fratte, M.; Pierce, S.; Carboni, M.; Cerabolini, B. E. L.; Pavoine, S.. - In: ECOLOGICAL INDICATORS. - ISSN 1470-160X. - 148:(2023). [10.1016/j.ecolind.2023.110066]
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11573/1681631
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