Lecture 6 - Population dynamics - University of British...
Transcript of Lecture 6 - Population dynamics - University of British...
Popula'onDynamics
÷ Lectureoutline/goals:o Popula'onprocesses:determinantsofchangeo Exponen'algrowtho Logis'cgrowtho Densityindependence(D.I.)o Densitydependence(D.D.)o Popula'oncycleso D.I.–D.D.integra'on
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Popula'ondynamics= studyofbirths,deathsandthemovementoforganisms
÷ Cri'calto:o Predic'on(spa'alandtemporal)o Management(biological/silviculturalcontrol)o Characteriza'onofpopula'ons
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?
Popula'onprocesses:determinantsofpopula'onchange
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Population size
Mortality (deaths)
Natality (births)
Immigration Emigration + -
-
+
Population size (N) Deaths (D) Births (B) Immigration (I) Emigration (E) + - - =
Nt+1 = Nt + (B – D + I – E)
Popula'onprocesses:determinantsofpopula'onchange
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Growth rate (r) = Birth rate (b) - Death rate (d) + Immigration rate (i) - Emigration rate (e)*
Change = rate (e.g. deaths per number of individuals)
r = (b – d + i – e) *note: lower case denotes “rate”
dN dt
= rN
Time
Pop
’n s
ize
(N)
Example:Exponen'alGrowth
- Populations increase by a constant factor per unit time - Rare, unsustainable in natural populations
Exponen'alincreasebyforestinsects?
÷ Occasionallyduringpopula'onerup'ons
Year
1998 2000 2002 2004 2006 0
2.0
4.0
6.0
8.0
Are
a (h
a) a
ffect
ed (×
106 )
r ≈ 2
Mountain pine beetle in BC
dN dt
= rN
Example:Logis'cGrowth
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Pop’ns cannot grow at an exponential rate indefinitely due to food/space limitations, or the action of natural enemies
- K is carrying capacity; the threshold at which population growth rate (r) is zero, negative above (i.e. the maximum sustainable population)
- As the number of individuals (N) in the pop’n increases, b, d, i and e change due to resource limitation, predation, parasitism, disease, etc.
- Concept critical in determining harvest levels in fishing, hunting, or mgmt of wildlife populations
Time
Pop
’n s
ize
(N)
K
dN dt = rN K - N K
Also known as the Verhulst eq’n
Factorsaffec'ngforestinsectpopula'onsize
÷ Climateandweather÷ Foodquan'ty/quality÷ Hostsuscep'bility,habitatsuitability÷ Preda'on,parasi'sm,disease÷ Intraspecificcompe''on
(i.e.withinspecies)÷ Interspecificcompe''on
(i.e.amongspecies)÷ Gene'cdefects
Rela'veimportancevariesamongpopula'ons.Func'onalclassifica'on:o Densityindependento Densitydependent
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Mortalityfactors
Density-independentfactors
÷ Sitecharacteris'cso Eleva'on,slope,aspect
÷ Weathero Wind,temperature,precipita'on
÷ Bio'cfactorso Browsing,roottrampling/compac'on
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Defini'on: Thepropor'onateeffectonpopula'onprocesses(b,d,i,e)isnotrelatedtopopula'ondensity.
Commondensity-independentfactors:
Becausetheimpactofd-ifactorsonpopula6onsisunrelatedtopopula6onsize,theneteffectiso9endrama6cpopula6onfluctua6ons.
Time
Pop
’n s
ize
(N)
e.g. drought
Density-independenteffects:example1
÷ Earlyfrostsin2002,2005and2007causedhighmortalitytoasprucebudwormpopula'on
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Year
Pop’nbeforefrost
Pop’na/erfrost
Mortality
%Mortality
2002 1000 500 500 50
2003 800 800 0 0
2004 50,000 50,000 0 0
2005 75,000 37,500 37,500 50
2006 100 100 0 0
2007 200 100 100 50
÷ However,propor'onate(%)mortalitynotrelatedtopopula'ondensity
100
80
60
40
20
0 20 30 40 50 60 70 80
∂∂ ∂∂ ∂∂ ∂∂ ∂∂
Precipitation
% M
orta
lity
Density-independenteffects:example2÷ Mortalityand%mortalityvaryinapopula'on-isitdueto
precipita'on?
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Popula'on
Year Precip.(mm) May1 June1 Mortality %Mortality
2003 70 500 100 400 80
2004 40 2,000 1,000 1,000 50
2005 50 1,500 600 900 60
2006 30 1,000 600 400 40
2007 60 2,500 800 1750 70
÷ Propor'onatemortalityrelatedtoprecipita'on,butnotdensity
100
80
60
40
20
0 3000 2000 1000 0
% M
orta
lity
Population
X
Density-dependentfactors
÷ Compe''ono Interferencevs.exploita'ono Effectssome'mesnon-lethal(i.e.delayeddevelopment,reducedfecundity)
÷ Preda'onandparasi'smo Numericalresponse:predator/parasitepopula'onincreaseswhenprey/hostabundanto Func'onalresponse:consump'onperpredator/parasiteincreaseswhenprey/hostare
abundanto Disease
÷ Environmentalfactors?
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Defini'on: Thepropor'onateeffectonpopula'onprocesses(b,d,i,e)isrelatedtopopula'ondensity.
Commondensity-dependentfactors:
Density-dependenteffects:example1
÷ Popula'onlevelsandmortalityduetodisease;densitydependence?
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Year Popula6on Mortality %Mortality
2002 1,000 10 1
2003 5,000 500 10
2004 100,000 90,000 90
2005 800 8 1
2006 10,000 2,000 20
2007 50,000 25,000 50
÷ Asthepopula'onincreases,the%mortalityincreases,thereforeeffectofdiseaseispropor6onatetopopula'ondensity
40,000 80,000 120,000
Density-dependenteffects:roleinpop’ndynamics
÷ Popula'onregula'on,andthereforepersistence,isonlypossiblethroughac'onofdensity-dependentfactors
÷ Density-independentfactorsohencauselargelevelsofmortalityinapop’n,butwithoutd.d.factorspop’nswillul'matelygotoex'nc'on
Time
Pop
’n s
ize
(N)
K
Complexdensitydependence1:thecurseofsmallpopula'ons
÷ Implica'onstoendangeredspecies,invasiveso Athresholdpopula'ondensityisrequiredforaspeciestopersist
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Normally,birthrate(b)increasesaspopula'onsdecrease;however,inverysmallpopula'ons,thebirthratemaydeclinedueprimarilytodifficul'esinmateloca'on(orinbreeding):TheAlleeeffect
Population size (Nt)
Rat
e of
cha
nge
(r)
Birth rate (b)
Allee effect
Complexdensitydependence2:popula'onerup'ons
÷ Themountainpinebeetleasanexampleo Density-independentperturba'onsshihendemic-epidemiccurvessothattheyintersectaboveR=0,
allowingendemicpopula'onstoentertheepidemicphaseandachieveposi'vefeedbacksforashort'me.
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Erup'vespeciesarecharacterizedbydis'nctpopula'onphases–endemic(sub-outbreak)wherenega'vefeedbackspredominate,andepidemic(outbreak)whereposi'vefeedbacksfacilitaterapidpopula'ongrowth/spreadun'lnega'vefeedbacksreassertthemselves
Year
1998 2000 2002 2004 2006
0
2.0
4.0
6.0
8.0
Are
a (h
a) a
ffect
ed (×
106 )
Log 1
0 gen
erat
ion
recr
uitm
ent,
R
Log10 attack density, X
0
-1
1
From: Cooke and Carroll 2017
Endemic phase Epidemic phase
Density-independent perturbation
Therela'verolesofdensity-dependentanddensity-independentfactors
÷ Considerablepopula'onfluctua'ons–d.i.factors÷ Detectablepopula'oncycle,30–40years÷ Whatcausespopula'onstocycle?÷ Roleofd.d.factors?
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e.g. The eastern spruce budworm
Adapted from Royama 1992
Popula'oncycles:predator-preyinterac'onsandlags1
÷ Insect(i.e.prey)pop’nincreasestowardK(rememberlogis'cgrowth),rdeclines÷ ApproachingK,d.d.effectsofsomepredators/parasitesincreasepropor'onately,but
responselags(func'onal/numericalresponse)
÷ Peakpredator/parasiteimpactsmanifestaherinsectpop’nsini'atedecline(duetoK),andinsectpop’nfalls
÷ Insectscarcitycausespredator/parasitepop’nstodecline,insectpop’nsrebuild
The Lotka-Volterra model (without the math!)
One prey cycle
Time
Num
ber o
f pre
dato
rs o
r pre
y
Prey
Predator
Popula'oncycles:predator-preyinterac'onsandlags2
÷ 35-yearcyclecausedbylaggedd.d.mortalityoccurringinthelate-larvalandpupalstages
÷ Generalistpredators,parasitoidsandpossiblypathogens
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Predator/parasite – prey/host interactions and the eastern spruce budworm?
Adapted from Royama 1992
Time
Adapted from Régnière and Nealis 2007
Popula'oncycles:predator-preyinterac'onsandlags3
÷ HistoricdatafromHudsonBayCo.trappingrecords÷ Noteregularperiodicity,andlagbylynxpop’ns
http://theglyptodon.wordpress.com/2011/05/02/the-fur-trades-records/
Integra'ngdensity-dependentanddensity-independentfactors
÷ MPBpopula'onssynchronizedatdistances>900km
÷ Weather(temp.,precip.)correlatedoversimilararea
÷ TweedsmuirParknotthesourceoftheMPBoutbreak
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Popula'onsynchronyviadensity-independentfactors:theMoraneffect
Geographically disparate populations with similar population processes will become temporally synchronized when exposed to a density-independent perturbation that is correlated over large areas (e.g. drought, El Niño, etc.)
The mountain pine beetle
Adapted from Aukema et al. 2006