Keystone species: toward an operational concept for marine biodiversity conservation
19 pages, 7 figures, 1 plate, 3 tables, appendices A–C and the supplement are available online: http://dx.doi.org/10.1890/14-0306.1.sm Various definitions and indices have been proposed in the literature to identify keystone species. In this study, we intended to make the concept of keystone species...
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ftcsic:oai:digital.csic.es:10261/114129 2024-02-11T10:09:09+01:00 Keystone species: toward an operational concept for marine biodiversity conservation Valls, Audrey Coll, Marta Christensen, Villy 2015-02 http://hdl.handle.net/10261/114129 https://doi.org/10.1890/14-0306.1 unknown Ecological Society of America http://dx.doi.org/10.1890/14-0306.1 doi:10.1890/14-0306.1 issn: 0012-9615 Ecological Monographs 85(1): 29-47 (2015) http://hdl.handle.net/10261/114129 open Classification Trees Ecopath model Food-web structure Index of keystoneness Keystone species Marine ecosystems Mixed-trophic impact Rank correlation tests Scoring method Meta-analysis artículo http://purl.org/coar/resource_type/c_6501 2015 ftcsic https://doi.org/10.1890/14-0306.1 2024-01-16T10:06:50Z 19 pages, 7 figures, 1 plate, 3 tables, appendices A–C and the supplement are available online: http://dx.doi.org/10.1890/14-0306.1.sm Various definitions and indices have been proposed in the literature to identify keystone species. In this study, we intended to make the concept of keystone species operational for marine biodiversity conservation. We used an exclusive definition of keystone species, based on the original concept of keystone predator, and derived a new functional index of keystoneness (KS) from an ecosystem-modeling approach. First, several KS indices were formulated, by combining measures of the mixed-trophic impact (MTI) and biomass of species. Then, a meta-analysis was performed, based on 101 published Ecopath food-web models, selected with a scoring method, and representative of the variety of marine ecosystems worldwide. The indices were applied to the models, and two statistical methods were compared to select the most promising KS index. Rank correlation tests were performed to assess the balance between the contribution of the impact and biomass components to the different KS indices. In addition, a classification tree was implemented, based on ecosystemspecific thresholds applied to the latter species traits, and used to confirm the identified keystone species. The selected index obtained the highest number of models with positive results from both the rank correlation tests and the classification tree. We also demonstrated the limitations of existing KS indices previously applied in the literature. Species were ranked according to their estimates of keystoneness with the selected KS index, so that potential keystone species were quantitatively identified in the 101 modeled food webs. The standardized modeling approach allowed for a comparison of the identified keystone species across models: cartilaginous fishes and toothed whales obtained the highest occurrences. Finally, the selected KS index was applied to the well-known case study of Prince William Sound (Alaska, USA). ... Article in Journal/Newspaper toothed whales Alaska Digital.CSIC (Spanish National Research Council) Ecological Monographs 85 1 29 47 |
institution |
Open Polar |
collection |
Digital.CSIC (Spanish National Research Council) |
op_collection_id |
ftcsic |
language |
unknown |
topic |
Classification Trees Ecopath model Food-web structure Index of keystoneness Keystone species Marine ecosystems Mixed-trophic impact Rank correlation tests Scoring method Meta-analysis |
spellingShingle |
Classification Trees Ecopath model Food-web structure Index of keystoneness Keystone species Marine ecosystems Mixed-trophic impact Rank correlation tests Scoring method Meta-analysis Valls, Audrey Coll, Marta Christensen, Villy Keystone species: toward an operational concept for marine biodiversity conservation |
topic_facet |
Classification Trees Ecopath model Food-web structure Index of keystoneness Keystone species Marine ecosystems Mixed-trophic impact Rank correlation tests Scoring method Meta-analysis |
description |
19 pages, 7 figures, 1 plate, 3 tables, appendices A–C and the supplement are available online: http://dx.doi.org/10.1890/14-0306.1.sm Various definitions and indices have been proposed in the literature to identify keystone species. In this study, we intended to make the concept of keystone species operational for marine biodiversity conservation. We used an exclusive definition of keystone species, based on the original concept of keystone predator, and derived a new functional index of keystoneness (KS) from an ecosystem-modeling approach. First, several KS indices were formulated, by combining measures of the mixed-trophic impact (MTI) and biomass of species. Then, a meta-analysis was performed, based on 101 published Ecopath food-web models, selected with a scoring method, and representative of the variety of marine ecosystems worldwide. The indices were applied to the models, and two statistical methods were compared to select the most promising KS index. Rank correlation tests were performed to assess the balance between the contribution of the impact and biomass components to the different KS indices. In addition, a classification tree was implemented, based on ecosystemspecific thresholds applied to the latter species traits, and used to confirm the identified keystone species. The selected index obtained the highest number of models with positive results from both the rank correlation tests and the classification tree. We also demonstrated the limitations of existing KS indices previously applied in the literature. Species were ranked according to their estimates of keystoneness with the selected KS index, so that potential keystone species were quantitatively identified in the 101 modeled food webs. The standardized modeling approach allowed for a comparison of the identified keystone species across models: cartilaginous fishes and toothed whales obtained the highest occurrences. Finally, the selected KS index was applied to the well-known case study of Prince William Sound (Alaska, USA). ... |
format |
Article in Journal/Newspaper |
author |
Valls, Audrey Coll, Marta Christensen, Villy |
author_facet |
Valls, Audrey Coll, Marta Christensen, Villy |
author_sort |
Valls, Audrey |
title |
Keystone species: toward an operational concept for marine biodiversity conservation |
title_short |
Keystone species: toward an operational concept for marine biodiversity conservation |
title_full |
Keystone species: toward an operational concept for marine biodiversity conservation |
title_fullStr |
Keystone species: toward an operational concept for marine biodiversity conservation |
title_full_unstemmed |
Keystone species: toward an operational concept for marine biodiversity conservation |
title_sort |
keystone species: toward an operational concept for marine biodiversity conservation |
publisher |
Ecological Society of America |
publishDate |
2015 |
url |
http://hdl.handle.net/10261/114129 https://doi.org/10.1890/14-0306.1 |
genre |
toothed whales Alaska |
genre_facet |
toothed whales Alaska |
op_relation |
http://dx.doi.org/10.1890/14-0306.1 doi:10.1890/14-0306.1 issn: 0012-9615 Ecological Monographs 85(1): 29-47 (2015) http://hdl.handle.net/10261/114129 |
op_rights |
open |
op_doi |
https://doi.org/10.1890/14-0306.1 |
container_title |
Ecological Monographs |
container_volume |
85 |
container_issue |
1 |
container_start_page |
29 |
op_container_end_page |
47 |
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1790608918469148672 |