Publication
Linear-in-the-parameters oblique least squares (LOLS) provides more accurate estimates of density-dependent survival
| dc.contributor.author | Vieira, Vasco M. N. C. S. | |
| dc.contributor.author | Engelen, Aschwin H. | |
| dc.contributor.author | Huanel, Oscar R. | |
| dc.contributor.author | Guillemin, Marie-Laure | |
| dc.date.accessioned | 2017-04-07T15:55:35Z | |
| dc.date.available | 2017-04-07T15:55:35Z | |
| dc.date.issued | 2016-12 | |
| dc.description.abstract | Survival is a fundamental demographic component and the importance of its accurate estimation goes beyond the traditional estimation of life expectancy. The evolutionary stability of isomorphic biphasic life-cycles and the occurrence of its different ploidy phases at uneven abundances are hypothesized to be driven by differences in survival rates between haploids and diploids. We monitored Gracilaria chilensis, a commercially exploited red alga with an isomorphic biphasic life-cycle, having found density-dependent survival with competition and Allee effects. While estimating the linear-in-the-parameters survival function, all model I regression methods (i.e, vertical least squares) provided biased line-fits rendering them inappropriate for studies about ecology, evolution or population management. Hence, we developed an iterative two-step non-linear model II regression (i.e, oblique least squares), which provided improved line-fits and estimates of survival function parameters, while robust to the data aspects that usually turn the regression methods numerically unstable. | |
| dc.identifier.doi | 10.1371/journal.pone.0167418 | |
| dc.identifier.issn | 1932-6203 | |
| dc.identifier.uri | http://hdl.handle.net/10400.1/9167 | |
| dc.language.iso | eng | |
| dc.peerreviewed | yes | |
| dc.publisher | Public Library of Science | |
| dc.relation.isbasedon | WOS:000389587100095 | |
| dc.title | Linear-in-the-parameters oblique least squares (LOLS) provides more accurate estimates of density-dependent survival | |
| dc.type | journal article | |
| dspace.entity.type | Publication | |
| oaire.citation.endPage | e0167418 | |
| oaire.citation.issue | 12 | |
| oaire.citation.startPage | e0167418 | |
| oaire.citation.title | PLoS ONE | |
| oaire.citation.volume | 11 | |
| person.familyName | Engelen | |
| person.givenName | Aschwin | |
| person.identifier.ciencia-id | 911A-9A0C-744D | |
| person.identifier.orcid | 0000-0002-9579-9606 | |
| person.identifier.rid | M-3432-2013 | |
| person.identifier.scopus-author-id | 6701622770 | |
| rcaap.rights | openAccess | |
| rcaap.type | article | |
| relation.isAuthorOfPublication | 33d5a223-f2c9-4c68-984f-9213f15a05b0 | |
| relation.isAuthorOfPublication.latestForDiscovery | 33d5a223-f2c9-4c68-984f-9213f15a05b0 |
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