Analysis of biodiversity attributes for extensive vegetated roofs in a semiarid region of central Argentina

Vegetated roofs (VRs) contribute to the resilience of cities by providing multiple ecosystem functions. A wide range of these benefits depends on the plant layer. Here, we hypothesized that increasing biodiversity attributes (i.e., composition, structural, and functional) in VRs will improve their p...

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Autores principales: Cáceres, Natalia, Robbiati, F.O., Hick, Emmanuel Christian, Suárez, Mario Adolfo, Matoff, Evangelina, Galetto, L., Imhof, Lelia
Formato: Artículo
Lenguaje:Español
Publicado: Elsevier B.V. 2022
Materias:
Acceso en línea:http://pa.bibdigital.ucc.edu.ar/3290/1/A_Caceres_Robbiati_Hick.pdf
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id I38-R144-3290
record_format dspace
institution Universidad Católica de Córdoba
institution_str I-38
repository_str R-144
collection Producción Académica Universidad Católica de Córdoba (UCCor)
language Español
orig_language_str_mv spa
topic Procesos Innovativos
Q Ciencia (General)
spellingShingle Procesos Innovativos
Q Ciencia (General)
Cáceres, Natalia
Robbiati, F.O.
Hick, Emmanuel Christian
Suárez, Mario Adolfo
Matoff, Evangelina
Galetto, L.
Imhof, Lelia
Analysis of biodiversity attributes for extensive vegetated roofs in a semiarid region of central Argentina
topic_facet Procesos Innovativos
Q Ciencia (General)
description Vegetated roofs (VRs) contribute to the resilience of cities by providing multiple ecosystem functions. A wide range of these benefits depends on the plant layer. Here, we hypothesized that increasing biodiversity attributes (i.e., composition, structural, and functional) in VRs will improve their performance under the climate conditions of semiarid regions. We aimed to (i) characterize functional groups of eight species assessed from key functional traits, (ii) evaluate species performance through survival and coverage, comparing biodiversity attributes from mono to polyculture treatments, (iii) analyze the relationship between performance with biodiversity attributes, and (iv) systematize and rank the treatments using an index to select those with the best performance and to recommend them for VRs in semiarid regions. We expect those treatments with higher biodiversity attributes will show better performances than simpler ones. Functional traits as indicators of ecosystem functions of eight species and four life-forms (succulents: Sedum acre, S. lineare, S. reflexum, creeping herbs: Phyla nodiflora, Glandularia x hybrida, tall forb: Grindelia cabrerae, and grasses: Eustachys distichophylla, and Nassella tenuissima) were evaluated through a trial using 22 microcosms during a 12-month experimental study. A principal component analysis and a cluster analysis were used to detect functional groups according to leaf and plant height traits. We used the Kaplan-Meier analysis to assess species survival among the treatments. Final coverage and growth increment (and their coefficients of variation) were used to construct the performance index. The PCA and CA determined five functional groups: I) succulents; II) creeping herbs; III) N. tenuissima; IV) E. distichophylla, and V) G. cabrerae. Four species showed significantly differences in survival rates among the treatments (p < 0.05), and six treatments were characterized as the best ones: with the highest coverage (>93%) and growth increment (81%), and with low CVs. Although some monoculture (Sedum spp., P. nodiflora and, E. distichophylla) reached comparable index values with respect to mixed microcosms, for VRs we recommend those plant mixtures combining biodiversity attributes because they provide both more ecosystem services and higher chances of survival and phenological complementarity in the long term.
format Artículo
Artículo
author Cáceres, Natalia
Robbiati, F.O.
Hick, Emmanuel Christian
Suárez, Mario Adolfo
Matoff, Evangelina
Galetto, L.
Imhof, Lelia
author_facet Cáceres, Natalia
Robbiati, F.O.
Hick, Emmanuel Christian
Suárez, Mario Adolfo
Matoff, Evangelina
Galetto, L.
Imhof, Lelia
author_sort Cáceres, Natalia
title Analysis of biodiversity attributes for extensive vegetated roofs in a semiarid region of central Argentina
title_short Analysis of biodiversity attributes for extensive vegetated roofs in a semiarid region of central Argentina
title_full Analysis of biodiversity attributes for extensive vegetated roofs in a semiarid region of central Argentina
title_fullStr Analysis of biodiversity attributes for extensive vegetated roofs in a semiarid region of central Argentina
title_full_unstemmed Analysis of biodiversity attributes for extensive vegetated roofs in a semiarid region of central Argentina
title_sort analysis of biodiversity attributes for extensive vegetated roofs in a semiarid region of central argentina
publisher Elsevier B.V.
publishDate 2022
url http://pa.bibdigital.ucc.edu.ar/3290/1/A_Caceres_Robbiati_Hick.pdf
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spelling I38-R144-32902023-06-22T14:49:28Z http://pa.bibdigital.ucc.edu.ar/3290/ Analysis of biodiversity attributes for extensive vegetated roofs in a semiarid region of central Argentina Cáceres, Natalia Robbiati, F.O. Hick, Emmanuel Christian Suárez, Mario Adolfo Matoff, Evangelina Galetto, L. Imhof, Lelia Procesos Innovativos Q Ciencia (General) Vegetated roofs (VRs) contribute to the resilience of cities by providing multiple ecosystem functions. A wide range of these benefits depends on the plant layer. Here, we hypothesized that increasing biodiversity attributes (i.e., composition, structural, and functional) in VRs will improve their performance under the climate conditions of semiarid regions. We aimed to (i) characterize functional groups of eight species assessed from key functional traits, (ii) evaluate species performance through survival and coverage, comparing biodiversity attributes from mono to polyculture treatments, (iii) analyze the relationship between performance with biodiversity attributes, and (iv) systematize and rank the treatments using an index to select those with the best performance and to recommend them for VRs in semiarid regions. We expect those treatments with higher biodiversity attributes will show better performances than simpler ones. Functional traits as indicators of ecosystem functions of eight species and four life-forms (succulents: Sedum acre, S. lineare, S. reflexum, creeping herbs: Phyla nodiflora, Glandularia x hybrida, tall forb: Grindelia cabrerae, and grasses: Eustachys distichophylla, and Nassella tenuissima) were evaluated through a trial using 22 microcosms during a 12-month experimental study. A principal component analysis and a cluster analysis were used to detect functional groups according to leaf and plant height traits. We used the Kaplan-Meier analysis to assess species survival among the treatments. Final coverage and growth increment (and their coefficients of variation) were used to construct the performance index. The PCA and CA determined five functional groups: I) succulents; II) creeping herbs; III) N. tenuissima; IV) E. distichophylla, and V) G. cabrerae. Four species showed significantly differences in survival rates among the treatments (p < 0.05), and six treatments were characterized as the best ones: with the highest coverage (>93%) and growth increment (81%), and with low CVs. Although some monoculture (Sedum spp., P. nodiflora and, E. distichophylla) reached comparable index values with respect to mixed microcosms, for VRs we recommend those plant mixtures combining biodiversity attributes because they provide both more ecosystem services and higher chances of survival and phenological complementarity in the long term. Elsevier B.V. 2022-05 application/pdf spa http://pa.bibdigital.ucc.edu.ar/3290/1/A_Caceres_Robbiati_Hick.pdf Cáceres, Natalia ORCID: https://orcid.org/0000-0001-8687-5104 <https://orcid.org/0000-0001-8687-5104>, Robbiati, F.O., Hick, Emmanuel Christian ORCID: https://orcid.org/0000-0002-2093-3540 <https://orcid.org/0000-0002-2093-3540>, Suárez, Mario Adolfo ORCID: https://orcid.org/0000-0002-5568-9998 <https://orcid.org/0000-0002-5568-9998>, Matoff, Evangelina, Galetto, L. ORCID: https://orcid.org/0000-0003-3828-657X <https://orcid.org/0000-0003-3828-657X> and Imhof, Lelia ORCID: https://orcid.org/0000-0002-6850-5502 <https://orcid.org/0000-0002-6850-5502> (2022) Analysis of biodiversity attributes for extensive vegetated roofs in a semiarid region of central Argentina. Ecological Engineering, 178. ISSN 0925-8574 https://www.sciencedirect.com/science/article/pii/S0925857422000635?via%3Dihub info:eu-repo/semantics/altIdentifier/doi/https://doi.org/10.1016/j.ecoleng.2022.106602 info:eu-repo/semantics/article info:ar-repo/semantics/artículo Fil: Cáceres, Natalia. Universidad Católica de Córdoba. CONICET. Instituto de Investigaciones en Recursos Naturales y Sustentabilidad José Sánchez Labrador S. J. (IRNASUS). Laboratorio de Recursos Genéticos y Sustentabilidad Bioclimática; Argentina Fil: Robbiati, Federico O. Universidad Nacional de Córdoba. Facultad de Ciencias Exactas Físicas y Naturales; Argentina Fil: Hick, Emmanuel C. Universidad Católica de Córdoba. CONICET. Instituto de Investigaciones en Recursos Naturales y Sustentabilidad José Sánchez Labrador S. J. (IRNASUS). Laboratorio de Recursos Genéticos y Sustentabilidad Bioclimática; Argentina Fil: Suárez, Mario. Universidad Católica de Córdoba. CONICET. Instituto de Investigaciones en Recursos Naturales y Sustentabilidad José Sánchez Labrador S. J. (IRNASUS). Laboratorio de Recursos Genéticos y Sustentabilidad Bioclimática; Argentina Fil: Matoff, Evangelina. Instituto Nacional de Tecnología Agropecuaria (INTA). Agencia de Extensión Rural Córdoba; Argentina Fil: Galetto, Leonardo. Universidad Nacional de Córdoba. CONICET. Instituto Multidisciplinario de Biología Vegetal (IMBIV). Facultad de Ciencias Exactas, Físicas y Naturales. Departamento de Diversidad Biológica y Ecología; Argentina Fil: Imhof, Lelia. Universidad Católica de Córdoba. CONICET. Instituto de Investigaciones en Recursos Naturales y Sustentabilidad José Sánchez Labrador S. J. (IRNASUS). Laboratorio de Recursos Genéticos y Sustentabilidad Bioclimática; Argentina info:eu-repo/semantics/openAccess https://creativecommons.org/licenses/by-nc-nd/4.0/deed.es