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Functional endemism: population connectivity, shifting baselines, and the scale of human experience

Quantifying population connectivity is important for visualizing the spatial and temporal scales that conservation measures act upon. Traditionally, migration based on genetic data has been reported in migrants per generation. However, the temporal scales over which this migration may occur do not n...

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Autores principales: Drew, Joshua, Kaufman, Les
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Blackwell Publishing Ltd 2013
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3586653/
https://www.ncbi.nlm.nih.gov/pubmed/23467269
http://dx.doi.org/10.1002/ece3.446
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author Drew, Joshua
Kaufman, Les
author_facet Drew, Joshua
Kaufman, Les
author_sort Drew, Joshua
collection PubMed
description Quantifying population connectivity is important for visualizing the spatial and temporal scales that conservation measures act upon. Traditionally, migration based on genetic data has been reported in migrants per generation. However, the temporal scales over which this migration may occur do not necessarily accommodate the scales over which human perturbations occur, leaving the potential for a disconnect between population genetic data and conservation action based on those data. Here, we present a new metric called the “Rule of Memory”, which helps conservation practitioners to interpret “migrants per generation” in the context both of human modified ecosystems and the cultural memory of those doing the modification. Our rule states that clades should be considered functionally endemic regardless of their actual taxonomic designation if the migration between locations is insufficient to maintain a viable population over the timescales of one human generation (20 years). Since larger animals are more likely to be remembered, we quantify the relationship between migrants per human (N) and body mass of the organism in question (M) with the formula N = 10M(−1). We then use the coral reef fish Pomacentrus moluccensis to demonstrate the taxonomic and spatial scales over which this rule can be applied. Going beyond minimum viable population literature, this metric assesses the probability that a clade's existence will be forgotten by people throughout its range during a period of extirpation. Because conservation plans are predicated on having well-established baselines, a loss of a species over the range of one human generation evokes the likelihood of that species no longer being recognized as a member of an ecosystem, and thus being excluded in restoration or conservation prioritization. [Correction added on 26 December 2012, after first online publication: this formula has been corrected to N=10M(−1)].
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spelling pubmed-35866532013-03-05 Functional endemism: population connectivity, shifting baselines, and the scale of human experience Drew, Joshua Kaufman, Les Ecol Evol Hypotheses Quantifying population connectivity is important for visualizing the spatial and temporal scales that conservation measures act upon. Traditionally, migration based on genetic data has been reported in migrants per generation. However, the temporal scales over which this migration may occur do not necessarily accommodate the scales over which human perturbations occur, leaving the potential for a disconnect between population genetic data and conservation action based on those data. Here, we present a new metric called the “Rule of Memory”, which helps conservation practitioners to interpret “migrants per generation” in the context both of human modified ecosystems and the cultural memory of those doing the modification. Our rule states that clades should be considered functionally endemic regardless of their actual taxonomic designation if the migration between locations is insufficient to maintain a viable population over the timescales of one human generation (20 years). Since larger animals are more likely to be remembered, we quantify the relationship between migrants per human (N) and body mass of the organism in question (M) with the formula N = 10M(−1). We then use the coral reef fish Pomacentrus moluccensis to demonstrate the taxonomic and spatial scales over which this rule can be applied. Going beyond minimum viable population literature, this metric assesses the probability that a clade's existence will be forgotten by people throughout its range during a period of extirpation. Because conservation plans are predicated on having well-established baselines, a loss of a species over the range of one human generation evokes the likelihood of that species no longer being recognized as a member of an ecosystem, and thus being excluded in restoration or conservation prioritization. [Correction added on 26 December 2012, after first online publication: this formula has been corrected to N=10M(−1)]. Blackwell Publishing Ltd 2013-02 2012-12-19 /pmc/articles/PMC3586653/ /pubmed/23467269 http://dx.doi.org/10.1002/ece3.446 Text en © 2013 Published by Blackwell Publishing Ltd. http://creativecommons.org/licenses/by/2.5/ Re-use of this article is permitted in accordance with the Creative Commons Deed, Attribution 2.5, which does not permit commercial exploitation.
spellingShingle Hypotheses
Drew, Joshua
Kaufman, Les
Functional endemism: population connectivity, shifting baselines, and the scale of human experience
title Functional endemism: population connectivity, shifting baselines, and the scale of human experience
title_full Functional endemism: population connectivity, shifting baselines, and the scale of human experience
title_fullStr Functional endemism: population connectivity, shifting baselines, and the scale of human experience
title_full_unstemmed Functional endemism: population connectivity, shifting baselines, and the scale of human experience
title_short Functional endemism: population connectivity, shifting baselines, and the scale of human experience
title_sort functional endemism: population connectivity, shifting baselines, and the scale of human experience
topic Hypotheses
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3586653/
https://www.ncbi.nlm.nih.gov/pubmed/23467269
http://dx.doi.org/10.1002/ece3.446
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