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Puglielli G, Bricca A, Chelli S, Petruzzellis F, Acosta ATR, Bacaro G, Beccari E, Bernardo L, Bonari G, Bolpagni R, Boscutti F, Calvia G, Campetella G, Cancellieri L, Canullo R, Carbognani M, Carboni M, Carranza ML, Castellani MB, Ciccarelli D, Coppi A, Cutini M, Dalla Vecchia A, Dalle Fratte M, de Francesco MC, De Frenne P, De Sanctis M, de Simone L, Di Cecco V, Fanelli G, Farris E, Ferrara A, Fenu G, Filibeck G, Gasperini C, Gargano D, Kindermann E, La Bella G, Lastrucci L, Lazzaro L, Maccherini S, Marignani M, Mugnai M, Naselli-Flores L, Passalacqua NG, Pavanetto N, Petraglia A, Rota F, Santoianni LA, Schettino A, Selvi F, Stanisci A, Trotta G, Vangansbeke P, Varricchione M, Vuerich M, Wellstein C, Tordoni E. Intraspecific variability of leaf form and function across habitat types. Ecol Lett 2024; 27:e14396. [PMID: 38456670 DOI: 10.1111/ele.14396] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/27/2023] [Revised: 01/22/2024] [Accepted: 02/19/2024] [Indexed: 03/09/2024]
Abstract
Trait-based ecology has already revealed main independent axes of trait variation defining trait spaces that summarize plant adaptive strategies, but often ignoring intraspecific trait variability (ITV). By using empirical ITV-level data for two independent dimensions of leaf form and function and 167 species across five habitat types (coastal dunes, forests, grasslands, heathlands, wetlands) in the Italian peninsula, we found that ITV: (i) rotated the axes of trait variation that define the trait space; (ii) increased the variance explained by these axes and (iii) affected the functional structure of the target trait space. However, the magnitude of these effects was rather small and depended on the trait and habitat type. Our results reinforce the idea that ITV is context-dependent, calling for careful extrapolations of ITV patterns across traits and spatial scales. Importantly, our study provides a framework that can be used to start integrating ITV into trait space analyses.
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Grants
- Ente Parco Nazionale del Pollino (Rotonda, Italy) in the frame of the project "Un laboratorio naturale permanente nel Parco Nazionale del Pollino"
- National Biodiversity Future Center NBFC, CUP J33C22001190001
- European Union - NextGenerationEU within the framework of National Biodiversity Future Center (Spoke 4, Activity 4)
- NBFC to the University of Florence, funded by the Italian Ministry of University and Research, PNRR, Missione 4 Componente 2, "Dalla ricerca all'impresa", Investimento 1.4, Project CN00000033
- NBFC to University of Roma Tre/Department of Science, funded by the Italian Ministry of University and Research, PNRR, Missione 4 Componente 2, "Dalla ricerca all'impresa", Investimento 1.4, Project CN00000033. Grant of Excellence Departments 2018- 2022, MIUR Italy
- NBFC to University of Molise/Department of Bioscience and Territory, funded by the Italian Ministry of University and Research, PNRR, Missione 4 Componente 2, "Dalla ricerca all'impresa", Investimento 1.4, Project CN00000033, MIUR Italy
- PID2021-122214NA-I00 MCIN/AEI/ 10.13039/501100011033 and by FEDER "ESF Investing in your future"
- Grant of Excellence Departments 2018- 2022, MIUR Italy
- G.Bo. and SM acknowledge the support of NBFC to University of Siena, funded by the Italian Ministry of University and Research, PNRR, Missione 4 Componente 2, 'Dalla ricerca all', Investimento 1.4, Project CN00000033
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Affiliation(s)
- Giacomo Puglielli
- Departamento de Biología Vegetal y Ecología, Facultad de Biología, Universidad de Sevilla, Sevilla, Spain
| | - Alessandro Bricca
- Faculty of Agricultural, Environmental and Food Sciences, Free University of Bozen-Bolzano, Bolzano, Italy
| | - Stefano Chelli
- School of Biosciences & Veterinary Medicine, University of Camerino, Camerino, Italy
| | | | | | - Giovanni Bacaro
- Department of Life Sciences, University of Trieste, Trieste, Italy
| | - Eleonora Beccari
- Institute of Ecology and Earth Science, University of Tartu, Tartu, Estonia
| | - Liliana Bernardo
- Department of Biology, Ecology and Earth Sciences, University of Calabria, Rende, Italy
| | - Gianmaria Bonari
- Department of Life Sciences, University of Siena, Siena, Italy
- NBFC, National Biodiversity Future Center, Palermo, Italy
| | - Rossano Bolpagni
- Department of Chemistry, Life Sciences and Environmental Sustainability, University of Parma, Parma, Italy
| | - Francesco Boscutti
- NBFC, National Biodiversity Future Center, Palermo, Italy
- Department of Agricultural, Food, Environmental and Animal Sciences, University of Udine, Udine, Italy
| | - Giacomo Calvia
- Faculty of Agricultural, Environmental and Food Sciences, Free University of Bozen-Bolzano, Bolzano, Italy
| | - Giandiego Campetella
- School of Biosciences & Veterinary Medicine, University of Camerino, Camerino, Italy
| | - Laura Cancellieri
- Department of Agriculture and Forest Sciences, University of Tuscia, Viterbo, Italy
| | - Roberto Canullo
- School of Biosciences & Veterinary Medicine, University of Camerino, Camerino, Italy
| | | | - Marta Carboni
- Department of Sciences, University of Roma Tre, Rome, Italy
| | - Maria Laura Carranza
- NBFC, National Biodiversity Future Center, Palermo, Italy
- Department of Biosciences and Territory, ENVIXLAB, University of Molise, Pesche, Italy
| | | | | | - Andrea Coppi
- Department of Biology, University of Florence, Florence, Italy
| | | | - Alice Dalla Vecchia
- Department of Chemistry, Life Sciences and Environmental Sustainability, University of Parma, Parma, Italy
| | - Michele Dalle Fratte
- Department of Biotechnology and Life Science, University of Insubria, Varese, Italy
| | - Maria Carla de Francesco
- NBFC, National Biodiversity Future Center, Palermo, Italy
- Department of Biosciences and Territory, ENVIXLAB, University of Molise, Pesche, Italy
| | - Pieter De Frenne
- Forest & Nature Lab, Department of Environment, Faculty of Bioscience Engineering, Ghent University, Melle, Belgium
| | - Michele De Sanctis
- Department of Environmental Biology, Sapienza University of Rome, Rome, Italy
| | | | - Valter Di Cecco
- Department of Biosciences and Territory, ENVIXLAB, University of Molise, Pesche, Italy
| | - Giuliano Fanelli
- Department of Environmental Biology, Sapienza University of Rome, Rome, Italy
| | - Emmanuele Farris
- Department of Chemical, Physical, Mathematical and Natural Sciences, University of Sassari, Sassari, Italy
| | - Arianna Ferrara
- BIOME Lab, Department of Biological, Geological and Environmental Sciences, Alma Mater Studiorum University of Bologna, Bologna, Italy
| | - Giuseppe Fenu
- Department of Life and Environmental Sciences, University of Cagliari, Cagliari, Italy
| | - Goffredo Filibeck
- Department of Agriculture and Forest Sciences, University of Tuscia, Viterbo, Italy
| | - Cristina Gasperini
- Department of Agriculture, Food, Environment and Forestry, University of Florence, Florence, Italy
| | - Domenico Gargano
- Department of Biology, Ecology and Earth Sciences, University of Calabria, Rende, Italy
| | - Elisabeth Kindermann
- Faculty of Agricultural, Environmental and Food Sciences, Free University of Bozen-Bolzano, Bolzano, Italy
| | - Greta La Bella
- Department of Sciences, University of Roma Tre, Rome, Italy
| | | | - Lorenzo Lazzaro
- Department of Biology, University of Florence, Florence, Italy
| | - Simona Maccherini
- Department of Life Sciences, University of Siena, Siena, Italy
- NBFC, National Biodiversity Future Center, Palermo, Italy
| | - Michela Marignani
- Department of Life and Environmental Sciences, University of Cagliari, Cagliari, Italy
| | - Michele Mugnai
- NBFC, National Biodiversity Future Center, Palermo, Italy
- Department of Biology, University of Florence, Florence, Italy
| | - Luigi Naselli-Flores
- Department of Biological, Chemical and Pharmaceutical Sciences and Technologies, University of Palermo, Palermo, Italy
| | | | - Nicola Pavanetto
- Institute of Agricultural and Environmental Sciences, Estonian University of Life Sciences, Tartu, Estonia
| | - Alessandro Petraglia
- Department of Chemistry, Life Sciences and Environmental Sustainability, University of Parma, Parma, Italy
| | - Francesco Rota
- Faculty of Agricultural, Environmental and Food Sciences, Free University of Bozen-Bolzano, Bolzano, Italy
- Swiss Federal Institute for Forest, Snow and Landscape Research WSL, Birmensdorf, Switzerland
| | | | | | - Federico Selvi
- Department of Agriculture, Food, Environment and Forestry, University of Florence, Florence, Italy
| | - Angela Stanisci
- NBFC, National Biodiversity Future Center, Palermo, Italy
- Department of Biosciences and Territory, ENVIXLAB, University of Molise, Pesche, Italy
| | - Giacomo Trotta
- Department of Life Sciences, University of Trieste, Trieste, Italy
- Department of Agricultural, Food, Environmental and Animal Sciences, University of Udine, Udine, Italy
| | - Pieter Vangansbeke
- Forest & Nature Lab, Department of Environment, Faculty of Bioscience Engineering, Ghent University, Melle, Belgium
| | - Marco Varricchione
- NBFC, National Biodiversity Future Center, Palermo, Italy
- Department of Biosciences and Territory, ENVIXLAB, University of Molise, Pesche, Italy
| | - Marco Vuerich
- NBFC, National Biodiversity Future Center, Palermo, Italy
- Department of Agricultural, Food, Environmental and Animal Sciences, University of Udine, Udine, Italy
| | - Camilla Wellstein
- Faculty of Agricultural, Environmental and Food Sciences, Free University of Bozen-Bolzano, Bolzano, Italy
| | - Enrico Tordoni
- Institute of Ecology and Earth Science, University of Tartu, Tartu, Estonia
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DiManno N, Ostertag R, Uowolo A, Durham A, Blakemore K, Cordell S, Vitousek P. Functional trait-based restoration alters nutrient cycling and invasion rates in Hawaiian lowland wet forest. Ecol Appl 2023; 33:e2894. [PMID: 37282355 DOI: 10.1002/eap.2894] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 11/15/2022] [Revised: 05/17/2023] [Accepted: 05/18/2023] [Indexed: 06/08/2023]
Abstract
Many degraded ecosystems have altered nutrient dynamics due to invaders' possessing a suite of traits that allow them to both outcompete native species and alter the environment. In ecosystems where invasive species have increased nutrient turnover rates, it can be difficult to reduce nutrient availability. This study examined whether a functional trait-based restoration approach involving the planting of species with conservative nutrient-use traits could slow rates of nutrient cycling and consequently reduce rates of invasion. We examined a functional trait restoration initiative in a heavily invaded lowland wet forest site in Hilo, Hawai'i. Native and introduced species were chosen to create four experimental hybrid forest communities, in comparison to the invaded forest, with a factorial design in which communities varied in rates of carbon turnover (slow or moderate [SLOW, MOD]), and in the relationship of species in trait space (redundant or complementary [RED, COMP]). After the first 5 years, we evaluated community-level outcomes related to nutrient cycling: carbon (C), nitrogen (N), and phosphorus (P) via litterfall, litter decomposition, and outplant productivity and rates of invasion. We found that (1) regardless of treatment, the experimental communities had low rates of nutrient cycling through litterfall relative to the invaded reference forest, (2) the MOD communities had greater nutrient release via litterfall than the SLOW communities, (3) introduced species had greater nutrient release than native species in the two MOD experimental communities, and (4) within treatments, there was a positive relationship between nutrient levels and outplant basal area, but outplant basal area was negatively associated with rates of invasion. The negative relationships among basal area and weed invasion, particularly for the two COMP treatments, suggest species existing in different parts of trait space may help confer some degree of invasion resistance. The diversification of trait space was facilitated by the use of introduced species, a new concept in Hawaiian forest management. Although challenges remain in endeavors to restore this heavily degraded ecosystem, this study provides evidence that functional trait-based restoration approaches using carefully crafted hybrid communities can reduce rates of nutrient cycling and invasion in order to reach management goals.
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Affiliation(s)
- Nicole DiManno
- Department of Biology, University of Hawai'i at Hilo, Hilo, Hawaii, USA
| | - Rebecca Ostertag
- Department of Biology, University of Hawai'i at Hilo, Hilo, Hawaii, USA
| | - Amanda Uowolo
- Institute of Pacific Islands Forestry, USDA Forest Service, Hilo, Hawaii, USA
| | - Amy Durham
- Department of Biology, University of Hawai'i at Hilo, Hilo, Hawaii, USA
| | - Kaikea Blakemore
- Department of Biology, University of Hawai'i at Hilo, Hilo, Hawaii, USA
| | - Susan Cordell
- Institute of Pacific Islands Forestry, USDA Forest Service, Hilo, Hawaii, USA
| | - Peter Vitousek
- Department of Biology, Stanford University, Stanford, California, USA
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Schrader J, Wright IJ, Kreft H, Westoby M. A roadmap to plant functional island biogeography. Biol Rev Camb Philos Soc 2021; 96:2851-2870. [PMID: 34423523 DOI: 10.1111/brv.12782] [Citation(s) in RCA: 11] [Impact Index Per Article: 3.7] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/10/2021] [Revised: 07/09/2021] [Accepted: 07/12/2021] [Indexed: 01/05/2023]
Abstract
Island biogeography is the study of the spatio-temporal distribution of species, communities, assemblages or ecosystems on islands and other isolated habitats. Island diversity is structured by five classes of process: dispersal, establishment, biotic interactions, extinction and evolution. Classical approaches in island biogeography focused on species richness as the deterministic outcome of these processes. This has proved fruitful, but species traits can potentially offer new biological insights into the processes by which island life assembles and why some species perform better at colonising and persisting on islands. Functional traits refer to morphological and phenological characteristics of an organism or species that can be linked to its ecological strategy and that scale up from individual plants to properties of communities and ecosystems. A baseline hypothesis is for traits and ecological strategies of island species to show similar patterns as a matched mainland environment. However, strong dispersal, environmental and biotic-interaction filters as well as stochasticity associated with insularity modify this baseline. Clades that do colonise often embark on distinct ecological and evolutionary pathways, some because of distinctive evolutionary forces on islands, and some because of the opportunities offered by freedom from competitors or herbivores or the absence of mutualists. Functional traits are expected to be shaped by these processes. Here, we review and discuss the potential for integrating functional traits into island biogeography. While we focus on plants, the general considerations and concepts may be extended to other groups of organisms. We evaluate how functional traits on islands relate to core principles of species dispersal, establishment, extinction, reproduction, biotic interactions, evolution and conservation. We formulate existing knowledge as 33 working hypotheses. Some of these are grounded on firm empirical evidence, others provide opportunities for future research. We organise our hypotheses under five overarching sections. Section A focuses on plant functional traits enabling species dispersal to islands. Section B discusses how traits help to predict species establishment, successional trajectories and natural extinctions on islands. Section C reviews how traits indicate species biotic interactions and reproduction strategies and which traits promote intra-island dispersal. Section D discusses how evolution on islands leads to predictable changes in trait values and which traits are most susceptible to change. Section E debates how functional ecology can be used to study multiple drivers of global change on islands and to formulate effective conservation measures. Islands have a justified reputation as research models. They illuminate the forces operating within mainland communities by showing what happens when those forces are released or changed. We believe that the lens of functional ecology can shed more light on these forces than research approaches that do not consider functional differences among species.
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Affiliation(s)
- Julian Schrader
- Department of Biological Sciences, Macquarie University, Sydney, NSW, 2109, Australia.,Department of Biodiversity, Macroecology and Biogeography, University of Goettingen, Büsgenweg 1, 37077, Goettingen, Germany
| | - Ian J Wright
- Department of Biological Sciences, Macquarie University, Sydney, NSW, 2109, Australia
| | - Holger Kreft
- Department of Biodiversity, Macroecology and Biogeography, University of Goettingen, Büsgenweg 1, 37077, Goettingen, Germany.,Centre of Biodiversity and Sustainable Land Use (CBL), University of Goettingen, Büsgenweg 1, 37077, Goettingen, Germany
| | - Mark Westoby
- Department of Biological Sciences, Macquarie University, Sydney, NSW, 2109, Australia
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Santini L, Cornulier T, Bullock JM, Palmer SCF, White SM, Hodgson JA, Bocedi G, Travis JMJ. A trait-based approach for predicting species responses to environmental change from sparse data: how well might terrestrial mammals track climate change? Glob Chang Biol 2016; 22:2415-2424. [PMID: 27073017 DOI: 10.1111/gcb.13271] [Citation(s) in RCA: 39] [Impact Index Per Article: 4.9] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 11/20/2015] [Accepted: 02/29/2016] [Indexed: 06/05/2023]
Abstract
Estimating population spread rates across multiple species is vital for projecting biodiversity responses to climate change. A major challenge is to parameterise spread models for many species. We introduce an approach that addresses this challenge, coupling a trait-based analysis with spatial population modelling to project spread rates for 15 000 virtual mammals with life histories that reflect those seen in the real world. Covariances among life-history traits are estimated from an extensive terrestrial mammal data set using Bayesian inference. We elucidate the relative roles of different life-history traits in driving modelled spread rates, demonstrating that any one alone will be a poor predictor. We also estimate that around 30% of mammal species have potential spread rates slower than the global mean velocity of climate change. This novel trait-space-demographic modelling approach has broad applicability for tackling many key ecological questions for which we have the models but are hindered by data availability.
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Affiliation(s)
- Luca Santini
- Department of Biology and Biotechnologies, Sapienza Università di Roma, Viale dell'Università 32, 00185, Rome, Italy
| | - Thomas Cornulier
- Institute of Biological and Environmental Sciences, University of Aberdeen, Zoology Building, Tillydrone Avenue, Aberdeen, AB24 2TZ, UK
| | - James M Bullock
- NERC Centre for Ecology & Hydrology, Benson Lane, Wallingford, OX10 8BB, UK
| | - Stephen C F Palmer
- Institute of Biological and Environmental Sciences, University of Aberdeen, Zoology Building, Tillydrone Avenue, Aberdeen, AB24 2TZ, UK
| | - Steven M White
- NERC Centre for Ecology & Hydrology, Benson Lane, Wallingford, OX10 8BB, UK
- Wolfson Centre for Mathematical Biology, Mathematical Institute, Radcliffe Observatory Quarter, Woodstock Road, Oxford, OX2 6GG, UK
| | - Jenny A Hodgson
- Department of Evolution, Ecology and Behaviour, University of Liverpool, Biosciences Building, Crown Street, Liverpool, L69 7ZB, UK
| | - Greta Bocedi
- Institute of Biological and Environmental Sciences, University of Aberdeen, Zoology Building, Tillydrone Avenue, Aberdeen, AB24 2TZ, UK
| | - Justin M J Travis
- Institute of Biological and Environmental Sciences, University of Aberdeen, Zoology Building, Tillydrone Avenue, Aberdeen, AB24 2TZ, UK
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