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A framework for estimating the determinants of spatial and temporal variation in vital rates and inferring the occurrence of unobserved extreme events
We develop a general framework that combines long-term tag–recapture data and powerful statistical and modelling techniques to investigate how population, environmental and climate factors determine variation in vital rates and population dynamics in an animal species, using as a case study the popu...
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Published in: | Royal Society open science 2018-03, Vol.5 (3), p.171087-171087 |
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container_end_page | 171087 |
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creator | Vincenzi, Simone Jesenšek, Dušan Crivelli, Alain J. |
description | We develop a general framework that combines long-term tag–recapture data and powerful statistical and modelling techniques to investigate how population, environmental and climate factors determine variation in vital rates and population dynamics in an animal species, using as a case study the population of brown trout living in Upper Volaja (Western Slovenia). This population has been monitored since 2004. Upper Volaja is a sink, receiving individuals from a source population living above a waterfall. We estimate the numerical contribution of the source population on the sink population and test the effects of temperature, population density and extreme events on variation in vital rates among 2647 individually tagged brown trout. We found that individuals dispersing downstream from the source population help maintain high population densities in the sink population despite poor recruitment. The best model of survival for individuals older than juveniles includes additive effects of birth cohort and sampling occasion. Fast growth of older cohorts and higher population densities in 2004–2005 suggest very low population densities in the late 1990s, which we hypothesize were caused by a flash flood that strongly reduced population size and created the habitat conditions for faster individual growth and transient higher population densities after the extreme event. |
doi_str_mv | 10.1098/rsos.171087 |
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This population has been monitored since 2004. Upper Volaja is a sink, receiving individuals from a source population living above a waterfall. We estimate the numerical contribution of the source population on the sink population and test the effects of temperature, population density and extreme events on variation in vital rates among 2647 individually tagged brown trout. We found that individuals dispersing downstream from the source population help maintain high population densities in the sink population despite poor recruitment. The best model of survival for individuals older than juveniles includes additive effects of birth cohort and sampling occasion. 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Soc. open sci</addtitle><addtitle>R Soc Open Sci</addtitle><description>We develop a general framework that combines long-term tag–recapture data and powerful statistical and modelling techniques to investigate how population, environmental and climate factors determine variation in vital rates and population dynamics in an animal species, using as a case study the population of brown trout living in Upper Volaja (Western Slovenia). This population has been monitored since 2004. Upper Volaja is a sink, receiving individuals from a source population living above a waterfall. We estimate the numerical contribution of the source population on the sink population and test the effects of temperature, population density and extreme events on variation in vital rates among 2647 individually tagged brown trout. We found that individuals dispersing downstream from the source population help maintain high population densities in the sink population despite poor recruitment. The best model of survival for individuals older than juveniles includes additive effects of birth cohort and sampling occasion. Fast growth of older cohorts and higher population densities in 2004–2005 suggest very low population densities in the late 1990s, which we hypothesize were caused by a flash flood that strongly reduced population size and created the habitat conditions for faster individual growth and transient higher population densities after the extreme event.</description><subject>Biodiversity and Ecology</subject><subject>Biology (whole Organism)</subject><subject>Demography</subject><subject>Environment and Society</subject><subject>Environmental Sciences</subject><subject>Global Changes</subject><subject>Growth</subject><subject>Population Dynamics</subject><subject>Random-Effects Models</subject><issn>2054-5703</issn><issn>2054-5703</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2018</creationdate><recordtype>article</recordtype><sourceid>DOA</sourceid><recordid>eNp9ks1u1DAUhSMEolXpij3yEoSm2I7_skEaVUArjVSJdsfCcpKbGQ8Te7CdwPAgPC-epq2mFWIV-_jkO76-tyheE3xGcKU-hOjjGZEEK_msOKaYsxmXuHx-sD4qTmNcY4wJx6UU8mVxRCvBpWTiuPgzR10wPfz04TvqfEAQk-1Nsm6J0gpQCwlCb51xKSLfobjNZ2aDjGtRgn7rQ96MJtgse4esQ6NNWQomQbx1WddBCPc83zRDCOAa2NMG5-sIYYQWwa8UoAcEI-SoV8WLzmwinN59T4qbz59uzi9mi6svl-fzxawRWKQZI7xUuMKEQMuIoRxk2UpVCyYkdIK1neJ1K2QlKGmyUEGL65qakrbUsLo8KS4nbOvNWm9DrjzstDdW3wo-LLUJyTYb0FCymnImqqruGDRcmbZrQAgia6Uk0Mz6OLG2Q91D2-Qy8ts8gj4-cXall37UXCkqcp9OincTYPXkt4v5Qu81TCrGSslGkr1v78KC_zHknunexgY2G-PAD1FTTLmsVEVYtr6frE3wMQboHtgE6_0M6f0M6WmGsvvNYRUP3vuJyYZvkyH4Xe6MbyyknV77Ibi81V-vr65HbkuNVUkwo6RU-rfdThlc2xgH0OVh5JN4_D_6v278F5ot9l4</recordid><startdate>20180307</startdate><enddate>20180307</enddate><creator>Vincenzi, Simone</creator><creator>Jesenšek, Dušan</creator><creator>Crivelli, Alain J.</creator><general>The Royal Society Publishing</general><general>The Royal Society</general><scope>NPM</scope><scope>AAYXX</scope><scope>CITATION</scope><scope>7X8</scope><scope>1XC</scope><scope>VOOES</scope><scope>5PM</scope><scope>DOA</scope><orcidid>https://orcid.org/0000-0002-8436-8608</orcidid></search><sort><creationdate>20180307</creationdate><title>A framework for estimating the determinants of spatial and temporal variation in vital rates and inferring the occurrence of unobserved extreme events</title><author>Vincenzi, Simone ; Jesenšek, Dušan ; Crivelli, Alain J.</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c606t-4153809011ed41a25e73d78b6467ef64df85bd679621cef69ed0bb2a32d2a4b3</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2018</creationdate><topic>Biodiversity and Ecology</topic><topic>Biology (whole Organism)</topic><topic>Demography</topic><topic>Environment and Society</topic><topic>Environmental Sciences</topic><topic>Global Changes</topic><topic>Growth</topic><topic>Population Dynamics</topic><topic>Random-Effects Models</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Vincenzi, Simone</creatorcontrib><creatorcontrib>Jesenšek, Dušan</creatorcontrib><creatorcontrib>Crivelli, Alain J.</creatorcontrib><collection>PubMed</collection><collection>CrossRef</collection><collection>MEDLINE - Academic</collection><collection>Hyper Article en Ligne (HAL)</collection><collection>Hyper Article en Ligne (HAL) (Open Access)</collection><collection>PubMed Central (Full Participant titles)</collection><collection>DOAJ Directory of Open Access Journals</collection><jtitle>Royal Society open science</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Vincenzi, Simone</au><au>Jesenšek, Dušan</au><au>Crivelli, Alain J.</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>A framework for estimating the determinants of spatial and temporal variation in vital rates and inferring the occurrence of unobserved extreme events</atitle><jtitle>Royal Society open science</jtitle><stitle>R. Soc. open sci</stitle><addtitle>R Soc Open Sci</addtitle><date>2018-03-07</date><risdate>2018</risdate><volume>5</volume><issue>3</issue><spage>171087</spage><epage>171087</epage><pages>171087-171087</pages><issn>2054-5703</issn><eissn>2054-5703</eissn><abstract>We develop a general framework that combines long-term tag–recapture data and powerful statistical and modelling techniques to investigate how population, environmental and climate factors determine variation in vital rates and population dynamics in an animal species, using as a case study the population of brown trout living in Upper Volaja (Western Slovenia). This population has been monitored since 2004. Upper Volaja is a sink, receiving individuals from a source population living above a waterfall. We estimate the numerical contribution of the source population on the sink population and test the effects of temperature, population density and extreme events on variation in vital rates among 2647 individually tagged brown trout. We found that individuals dispersing downstream from the source population help maintain high population densities in the sink population despite poor recruitment. The best model of survival for individuals older than juveniles includes additive effects of birth cohort and sampling occasion. Fast growth of older cohorts and higher population densities in 2004–2005 suggest very low population densities in the late 1990s, which we hypothesize were caused by a flash flood that strongly reduced population size and created the habitat conditions for faster individual growth and transient higher population densities after the extreme event.</abstract><cop>England</cop><pub>The Royal Society Publishing</pub><pmid>29657746</pmid><doi>10.1098/rsos.171087</doi><tpages>1</tpages><orcidid>https://orcid.org/0000-0002-8436-8608</orcidid><oa>free_for_read</oa></addata></record> |
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subjects | Biodiversity and Ecology Biology (whole Organism) Demography Environment and Society Environmental Sciences Global Changes Growth Population Dynamics Random-Effects Models |
title | A framework for estimating the determinants of spatial and temporal variation in vital rates and inferring the occurrence of unobserved extreme events |
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