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2.3. Metapopulations Extinction risk in a ... - Myweb.dal.ca

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<strong>2.3.</strong> <strong>Metapopulations</strong><br />

Conservation of spatially<br />

Structured populations<br />

What characterizes metapopulations?<br />

• Spatially separated subpopulations<br />

• Most often due to spatially<br />

discont<strong>in</strong>uous habitat<br />

– natural spatial heterogeneity<br />

– human-<strong>in</strong>duced habitat fragmentation<br />

• Subpopulations are l<strong>in</strong>ked through<br />

emigration and immigration<br />

• Subpopulations <strong>ca</strong>n go ext<strong>in</strong>ct<br />

without the metapopulation go<strong>in</strong>g<br />

ext<strong>in</strong>ct<br />

Habitat patches<br />

Individuals<br />

Dispersal<br />

RECALL: <strong>Metapopulations</strong><br />

• Populations that have no exchange with other<br />

populations are <strong>ca</strong>lled ‘closed’<br />

• Those which are divided <strong>in</strong>to several<br />

<strong>in</strong>teract<strong>in</strong>g, but spatially separated<br />

subpopulations are <strong>ca</strong>lled ‘metapopulations’<br />

Closed population Metapopulation<br />

<strong>Ext<strong>in</strong>ction</strong> <strong>risk</strong> <strong>in</strong> a<br />

metapopulation<br />

• Previously looked at ext<strong>in</strong>ction <strong>risk</strong> for closed<br />

populations<br />

• When there is a lo<strong>ca</strong>l ext<strong>in</strong>ction <strong>in</strong> a metapopulation<br />

– Ext<strong>in</strong>ct subpopulations <strong>ca</strong>n be re-colonized<br />

– Or rema<strong>in</strong> ext<strong>in</strong>ct<br />

– Or become re<strong>in</strong>troduced by humans<br />

• Frequent lo<strong>ca</strong>l ext<strong>in</strong>ction and re-colonization is<br />

common for many metapopulations<br />

Ext<strong>in</strong>ct<br />

Ext<strong>in</strong>ct<br />

S<strong>in</strong>k<br />

Re-colonization<br />

Source


Spatial correlation<br />

• <strong>Ext<strong>in</strong>ction</strong> <strong>risk</strong> of the metapopulation is <strong>in</strong>fluenced<br />

by how similar (synchronous) environmental<br />

variability is affect<strong>in</strong>g its subpopulations<br />

• If this is very similar, all subpopulations <strong>ca</strong>n go<br />

ext<strong>in</strong>ct at once<br />

• If this is dissimilar, there is a lower <strong>risk</strong> that all<br />

subpopulations crash simultaneously<br />

• Spatial correlation decreases with distance<br />

Re-colonization<br />

Trade-off between dispersal and<br />

spatial correlation<br />

• Dispersal rate decreases with distance, recolonizaton<br />

becomes less probable: HIGHER<br />

overall ext<strong>in</strong>ction <strong>risk</strong><br />

• Spatial correlation also decreases with distance,<br />

synchronous ext<strong>in</strong>ctions become less probable:<br />

LOWER overall ext<strong>in</strong>ction <strong>risk</strong><br />

• Trade-off between dispersal rate and spatial<br />

correlation<br />

• The ‘optimal’ distance between subpopulations<br />

depends on the specific dispersal abilities and<br />

the degree of environmental variability<br />

Dispersal rates<br />

• Another important factor is dispersal<br />

(=migration) rate, which leads to successful<br />

re-colonization, hence reduc<strong>in</strong>g ext<strong>in</strong>ction <strong>risk</strong><br />

• Dispersal rate decreases with distance<br />

• It is measured by the proportion of <strong>in</strong>dividuals<br />

that emigrate to another subpopulation<br />

A<br />

N=10<br />

1<br />

3<br />

B<br />

C<br />

Dispersal Rate A-C=0.1<br />

Dispersal Rate A-B=0.3<br />

Overall Rate = 0.4<br />

Appli<strong>ca</strong>tion : Corridors and<br />

reserve design<br />

• Habitat corridors that connect habitat patches<br />

<strong>ca</strong>n aid dispersal and thereby help to connect<br />

subpopulations<br />

• On the contrary corridors <strong>ca</strong>n dra<strong>in</strong> a population<br />

<strong>in</strong>to s<strong>in</strong>k populations, or <strong>ca</strong>n spread<br />

<strong>ca</strong>tastrophes (e.g. disease, wild fires)<br />

Corridors


Appli<strong>ca</strong>tion: design<strong>in</strong>g reserve<br />

networks<br />

S<strong>in</strong>gle large<br />

….or several small reserves?<br />

• The SLOSS debate is a metapopulation problem.<br />

• Many small have lower ext<strong>in</strong>ction <strong>risk</strong> if dispersal<br />

between them is high and environmental<br />

correlation is low<br />

• But if they are too small, they become vulnerable<br />

to edge effects, environmental, demographic<br />

stochasticity<br />

• Metapopulation model<strong>in</strong>g <strong>ca</strong>n answer the SLOSS<br />

question for specific <strong>ca</strong>ses<br />

Example: spotted owl population<br />

• California spotted owl Strix occidentalis<br />

occidentalis<br />

• Habitat is highly fragmented by logg<strong>in</strong>g and<br />

development<br />

• Spatial structure modeled by <strong>in</strong>corporat<strong>in</strong>g<br />

distance-dependent dispersal and spatial<br />

correlation among population growth rates<br />

• Risk of decl<strong>in</strong>e was ma<strong>in</strong>ly sensitive to the<br />

correlations among growth rates. Increased<br />

correlation <strong>in</strong>creased the <strong>risk</strong> of decl<strong>in</strong>e<br />

• Best conservation strategy: improve population<br />

viability of ‘s<strong>in</strong>k populations’<br />

Source: LaHaye et al. (1994) Journal of Animal Ecology 63:775-785<br />

Example: spotted owl metapopulation<br />

Source: LaHaye et al. (1994) Journal of<br />

Animal Ecology 63:775-785<br />

Summ<strong>in</strong>g up<br />

• Spatially l<strong>in</strong>ked meta-populations often have<br />

lower ext<strong>in</strong>ction <strong>risk</strong> than closed populations<br />

• Individual subpopulations <strong>ca</strong>n be sources or<br />

s<strong>in</strong>ks for the meta-population<br />

• Distance between subpopulations reduces<br />

dispersal and environmental correlation<br />

• Meta-population models are important when<br />

assess<strong>in</strong>g ext<strong>in</strong>ction <strong>risk</strong> of spatially structured<br />

populations<br />

• They <strong>ca</strong>n also help <strong>in</strong> the design of nature<br />

reserves

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