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        <r:String xml:lang="sv">Kolonisations- och utdöendedata för aspfjädermossa (Neckera pennata)</r:String>
        <r:String xml:lang="en">Colonisation-extinction data for the epiphytic bryophyte Neckera pennata</r:String>
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          <r:String xml:lang="sv">Sveriges lantbruksuniversitet</r:String>
          <r:String xml:lang="en">Swedish University of Agricultural Sciences</r:String>
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      <r:Publisher>
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          <r:String xml:lang="sv">Sveriges lantbruksuniversitet</r:String>
          <r:String xml:lang="en">Swedish University of Agricultural Sciences</r:String>
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        <r:SimpleDate>2018-11-30</r:SimpleDate>
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      <r:Content xml:lang="sv">Ett nytt sätt att beräkna kolonisationshastigheten som kräver 70% mindre arbete finns nu som alternativ till den klassiska metoden som kräver mycket mer fältarbete.


En mer utförlig beskrivning finns på den engelska katalogsidan: https://snd.gu.se/en/catalogue/study/snd1073</r:Content>
      <r:Content xml:lang="en">Knowledge on the colonization process is important to understand and project future species distributions. The classic method to quantify colonization rates is time-consuming, as it requires recording infrequent colonization events during extensive, repeated surveys. 


We present the novel ‘dating-based approach’ that requires one complete survey of species occurrence and estimates of subpopulation ages to back-date colonization events. These data allow statistical reconstruction of a virtual, repeated survey to estimate colonization rates in response to environmental covariates or connectivity.


With only 30% of survey effort, the dating-based approach provided similar estimates of rate and distance of dispersal of a moss metapopulation as the classic approach relying on long-term surveys. Projections of the number of colonization events during the next 100 years differed by only 2.3% (95%-credible interval: [-1.9%; 7.1%]) between methods.


The dating-based approach is applicable across spatial scales and promises enhancing species distribution models with urgently needed quantitative dispersal information.</r:Content>
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