Predicting aquatic macrophyte occurrence in soft-water oligotrophic lakes (Pyrenees mountain range)

18 páginas, 3 figuras, 4 tablas

Detalles Bibliográficos
Autores: Pulido, Cristina, Riera, Joan L., Ballesteros, Enric, Chappuis, Eglantine, Gacia, Esperança
Tipo de recurso: artículo
Fecha de publicación:2015
País:España
Institución:Consejo Superior de Investigaciones Científicas (CSIC)
Repositorio:DIGITAL.CSIC. Repositorio Institucional del CSIC
OAI Identifier:oai:digital.csic.es:10261/112479
Acceso en línea:http://hdl.handle.net/10261/112479
Access Level:acceso abierto
Palabra clave:Ecological niche
Logistic models
Aquatic plants
Presence/absence
Prediction
Optimum range
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spelling Predicting aquatic macrophyte occurrence in soft-water oligotrophic lakes (Pyrenees mountain range)Pulido, CristinaRiera, Joan L.Ballesteros, EnricChappuis, EglantineGacia, EsperançaEcological nicheLogistic modelsAquatic plantsPresence/absencePredictionOptimum range18 páginas, 3 figuras, 4 tablasDistribution of aquatic macrophytes in lakes is related to geographical, morphological, catchment and water chemistry variables as well as human impacts, which modify the original environment. Here, we aim at building statistical models to establish the ecological niches of 11 aquatic macrophytes (10 different phanerogams and the genus Nitella) from oligotrophic soft-water lakes and infer their ecological requirements and environmental constraints at the southernmost limit of their distribution. Macrophyte occurrence and environmental variables were obtained from 86 non-exploited oligotrophic soft-water lakes from the Pyrenees (Southern Europe; 42°50´N, 1°00´E); macrophytes inhabited 55 of these lakes. Optimum ranges and macrophyte occurrence were predicted in relation to 18 geographical, morphological, catchment and water chemistry variables using univariate and multivariate logistic models. Lakes at low altitude, in vegetated catchments and with low water concentration of NO3 – and SO4 –2, were the most suitable to host macrophytes. In general, individual species of aquatic macrophytes showed clear patterns of segregation along conductivity and pH gradients, although the specific combination of variables selected in the best models explaining their occurrence differed among species. Based on the species response to pH and conductivity, we found Isoetes lacustris have its optimum in waters with low conductivity and pH (i.e., negative monotonic response). In contrast, Callitriche palustris, Ranunculus aquatilis, Subularia aquatica, Nitella spp., and Myriophyllum alterniflorum showed an optimum at intermediate values (i.e. unimodal response), whereas Potamogeton berchtoldii, Potamogeton alpinus, and Ranunculus trichophyllus as species had their optimum at relatively high water pH and conductivity (i.e. positive monotonic response). This pattern has been observed in other regions for the same species, although with different optima and tolerance ranges. The parsimonious models developed here allowed us to explore niche requirements for each species and to predict the occurrence of macrophytes and of individual species in any particular lake by using only few, easily measured environmental variables. This is of interest to forecast possible changes related to global change and to assist managers in making conservation, management and restoration decisions.Financial support was provided by the Spanish Ministry of Science and Innovation through funding of the AQUAREST project (ref: OAPN 212/2010).Peer reviewedIstituto italiano di idrobiologia (Pallanza, Italia)Consejo Superior de Investigaciones Científicas [https://ror.org/02gfc7t72]201520152015info:eu-repo/semantics/articlehttp://purl.org/coar/resource_type/c_6501http://hdl.handle.net/10261/112479reponame:DIGITAL.CSIC. Repositorio Institucional del CSICinstname:Consejo Superior de Investigaciones Científicas (CSIC)Ingléshttp://dx.doi.org/10.4081/jlimnol.2015.965Síinfo:eu-repo/semantics/openAccessoai:digital.csic.es:10261/1124792026-05-22T06:33:51Z
dc.title.none.fl_str_mv Predicting aquatic macrophyte occurrence in soft-water oligotrophic lakes (Pyrenees mountain range)
title Predicting aquatic macrophyte occurrence in soft-water oligotrophic lakes (Pyrenees mountain range)
spellingShingle Predicting aquatic macrophyte occurrence in soft-water oligotrophic lakes (Pyrenees mountain range)
Pulido, Cristina
Ecological niche
Logistic models
Aquatic plants
Presence/absence
Prediction
Optimum range
title_short Predicting aquatic macrophyte occurrence in soft-water oligotrophic lakes (Pyrenees mountain range)
title_full Predicting aquatic macrophyte occurrence in soft-water oligotrophic lakes (Pyrenees mountain range)
title_fullStr Predicting aquatic macrophyte occurrence in soft-water oligotrophic lakes (Pyrenees mountain range)
title_full_unstemmed Predicting aquatic macrophyte occurrence in soft-water oligotrophic lakes (Pyrenees mountain range)
title_sort Predicting aquatic macrophyte occurrence in soft-water oligotrophic lakes (Pyrenees mountain range)
dc.creator.none.fl_str_mv Pulido, Cristina
Riera, Joan L.
Ballesteros, Enric
Chappuis, Eglantine
Gacia, Esperança
author Pulido, Cristina
author_facet Pulido, Cristina
Riera, Joan L.
Ballesteros, Enric
Chappuis, Eglantine
Gacia, Esperança
author_role author
author2 Riera, Joan L.
Ballesteros, Enric
Chappuis, Eglantine
Gacia, Esperança
author2_role author
author
author
author
dc.contributor.none.fl_str_mv Consejo Superior de Investigaciones Científicas [https://ror.org/02gfc7t72]
dc.subject.none.fl_str_mv Ecological niche
Logistic models
Aquatic plants
Presence/absence
Prediction
Optimum range
topic Ecological niche
Logistic models
Aquatic plants
Presence/absence
Prediction
Optimum range
description 18 páginas, 3 figuras, 4 tablas
publishDate 2015
dc.date.none.fl_str_mv 2015
2015
2015
dc.type.none.fl_str_mv info:eu-repo/semantics/article
http://purl.org/coar/resource_type/c_6501
format article
dc.identifier.none.fl_str_mv http://hdl.handle.net/10261/112479
url http://hdl.handle.net/10261/112479
dc.language.none.fl_str_mv Inglés
language_invalid_str_mv Inglés
dc.relation.none.fl_str_mv http://dx.doi.org/10.4081/jlimnol.2015.965
Sí
dc.rights.none.fl_str_mv info:eu-repo/semantics/openAccess
eu_rights_str_mv openAccess
dc.publisher.none.fl_str_mv Istituto italiano di idrobiologia (Pallanza, Italia)
publisher.none.fl_str_mv Istituto italiano di idrobiologia (Pallanza, Italia)
dc.source.none.fl_str_mv reponame:DIGITAL.CSIC. Repositorio Institucional del CSIC
instname:Consejo Superior de Investigaciones Científicas (CSIC)
instname_str Consejo Superior de Investigaciones Científicas (CSIC)
reponame_str DIGITAL.CSIC. Repositorio Institucional del CSIC
collection DIGITAL.CSIC. Repositorio Institucional del CSIC
repository.name.fl_str_mv
repository.mail.fl_str_mv
_version_ 1869405364988936192
score 15,812429

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