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CLIMATE CHANGE EFFECTS ON PREDATOR/ PREY<br />

INTERACTIONS: How <strong>can</strong> <strong>we</strong> c<strong>on</strong>serve persistence and<br />

resilience in a murky sea of idiosyncrasy


Global <str<strong>on</strong>g>climate</str<strong>on</strong>g> <str<strong>on</strong>g>change</str<strong>on</strong>g><br />

• What is changing<br />

• Can <strong>we</strong> relate GLOBAL <str<strong>on</strong>g>change</str<strong>on</strong>g> patterns<br />

to LOCAL systems<br />

– Landscape variables measured at broad scale<br />

– animals usually measured at local scale<br />

Everything is c<strong>on</strong>nected so at some<br />

point Natural Selecti<strong>on</strong> should elicit<br />

a resp<strong>on</strong>se in… everything.


Mean m<strong>on</strong>thly minimum temperature: Yosemite<br />

Valley, CA 1905 - 2007<br />

Loss of 3<br />

freezing<br />

m<strong>on</strong>ths<br />

(Nov,<br />

Mar, Apr)<br />

Moritz et al. 2008; Western regi<strong>on</strong>al <str<strong>on</strong>g>climate</str<strong>on</strong>g> center<br />

Leading to:<br />

• Higher variability in annual snowpack<br />

• Earlier snow melt<br />

• Decreased stream flows


Research <strong>on</strong> <str<strong>on</strong>g>effects</str<strong>on</strong>g> of <str<strong>on</strong>g>climate</str<strong>on</strong>g> <str<strong>on</strong>g>change</str<strong>on</strong>g><br />

Models worldwide attempt to model animal distributi<strong>on</strong>s <strong>on</strong><br />

predicted habitat maps<br />

Predicti<strong>on</strong>s:<br />

1. Few species go extinct<br />

a. unsuitable c<strong>on</strong>diti<strong>on</strong>s for persistence<br />

b. out competed by invading/pi<strong>on</strong>eering species<br />

2. Many species will dramatically c<strong>on</strong>tract in distributi<strong>on</strong><br />

a. increased fragmentati<strong>on</strong><br />

b. reduced resilience in populati<strong>on</strong> dynamics (more vulnerable to<br />

extincti<strong>on</strong> with perturbati<strong>on</strong>s)<br />

3. Others will extend their range<br />

a. usually at the expense of another species (e.g. the alpine<br />

chipmunk being displaced by lodgepole chipmunk)<br />

Community compositi<strong>on</strong> is going to <str<strong>on</strong>g>change</str<strong>on</strong>g>


Animals adapt <strong>on</strong> a species level<br />

Summary of Grinnell resampling small<br />

mammal survey (Moritz et al. 2008)<br />

Range<br />

Expansi<strong>on</strong><br />

Range<br />

C<strong>on</strong>tracti<strong>on</strong><br />

No Change<br />

Number of<br />

species<br />

3 spp Higher<br />

2 spp Lo<strong>we</strong>r<br />

6 spp Higher<br />

1 spp Lo<strong>we</strong>r<br />

12 spp<br />

1 spp Both<br />

2 spp Both<br />

• No pattern or mechanism as to who’s range c<strong>on</strong>tracted or expanded<br />

• Each small mammal guild is represented in all categories<br />

• ALL of these species are important <strong>prey</strong> items in the Sierra Nevada


C<strong>on</strong>flicting results in Sierra Nevada<br />

Within Genus (Neotoma spp.; Moritz et al. 2008)<br />

• Large-eared woodrat s<strong>how</strong>ed no <str<strong>on</strong>g>change</str<strong>on</strong>g><br />

in distributi<strong>on</strong> from 1920 to 2005<br />

• Bushy-tailed woodrat s<strong>how</strong>ed signifi<strong>can</strong>t<br />

<str<strong>on</strong>g>change</str<strong>on</strong>g><br />

Within Species (bushy-tailed woodrat)<br />

• One study s<strong>how</strong>ed range expansi<strong>on</strong> (East slope:<br />

McD<strong>on</strong>ald and Brown 1992)<br />

• Another study s<strong>how</strong>ed range c<strong>on</strong>tracti<strong>on</strong> (West<br />

slope: Moritz et al. 2008)


Idiosyncrasy in our thinking and our data<br />

C<strong>on</strong>flicting paradigms<br />

1. Ambient temperature and animal physiological<br />

c<strong>on</strong>straints influence species susceptibility to<br />

extincti<strong>on</strong> (McD<strong>on</strong>ald and Brown 1992)<br />

• True for species c<strong>on</strong>strained in distributi<strong>on</strong>, e.g. high<br />

m<strong>on</strong>tane mammals<br />

2. Animal distributi<strong>on</strong>s influenced by habitat <str<strong>on</strong>g>change</str<strong>on</strong>g>s<br />

not physiological c<strong>on</strong>straints (Johnst<strong>on</strong> and Schmitz 1997, Moritz et al. 2008)<br />

• Habitat quality directly linked to populati<strong>on</strong> dynamics for<br />

herbivores, aka PREY<br />

• Prey populati<strong>on</strong> dynamics highly correlated to <strong>predator</strong><br />

populati<strong>on</strong> dynamics


Classic <strong>predator</strong>-<strong>prey</strong> populati<strong>on</strong> cycles: snowshoe<br />

hare and Canada lynx<br />

Trapping records from Huds<strong>on</strong> Bay, Canada<br />

Highly correlated c<strong>on</strong>necti<strong>on</strong>s in the <strong>predator</strong>-<strong>prey</strong> system<br />

- If something happens to <strong>on</strong>e, it throws off the other<br />

- amplitude variability is positively related to probability of<br />

extincti<strong>on</strong>


Prey populati<strong>on</strong> cyclicity<br />

Cyclicity = amplitude and frequency of cycles<br />

• Increases with latitude and snow cover.<br />

• Decreases with generalist <strong>predator</strong>s<br />

• Increases with specialist <strong>predator</strong>s<br />

• Prey food source reliability related to <strong>prey</strong><br />

cyclicity (e.g. acorn crops cycle)


Spotted owl <strong>prey</strong> annual abundance patterns<br />

120<br />

100<br />

flying squirrel<br />

deer mouse<br />

Prey abundance<br />

80<br />

60<br />

40<br />

20<br />

Rosenberg et al. 2003<br />

0<br />

1986 1988 1990 1992 1994 1996 1998<br />

Year


Prey abundance and owl reproductive success<br />

Prey abundance<br />

120<br />

100<br />

80<br />

60<br />

40<br />

20<br />

flying squirrel<br />

deer mouse<br />

spotted owl reproducti<strong>on</strong><br />

2.0<br />

1.5<br />

1.0<br />

0.5<br />

# of owlets / owl pair<br />

0<br />

Rosenberg et al. 2003<br />

1987 1988 1989 1990 1991 1992 1993 1994 1995 1996<br />

Year<br />

0.0


northern goshawk<br />

barred owl<br />

(invader)<br />

great horned owl<br />

raven<br />

Spotted owl<br />

Habitat and diet<br />

SPECIALISTS<br />

passerine birds<br />

shrews<br />

bats<br />

flying squirrel<br />

deer mice<br />

chipmunks<br />

seeds<br />

grasses<br />

woodrats<br />

forbs<br />

voles<br />

pollen<br />

beetles<br />

moths<br />

insects<br />

lichen<br />

fungi<br />

trees<br />

detritus<br />

shrubs<br />

leaves


Spotted Owl Diets: Yosemite<br />

Woodrat = also important <strong>prey</strong> species<br />

Flying<br />

squirrels<br />

Woodrats<br />

Closed <strong>can</strong>opy<br />

Open <strong>can</strong>opy


Flying squirrel resp<strong>on</strong>se to <str<strong>on</strong>g>climate</str<strong>on</strong>g> <str<strong>on</strong>g>change</str<strong>on</strong>g>:<br />

1. If forest dries out, flying squirrels follow truffles c<strong>on</strong>fined<br />

to riparian areas due to their <strong>prey</strong>’s (truffles) associati<strong>on</strong><br />

with high soil moisture<br />

2. Predators of flying squirrels follow <strong>prey</strong> to riparian areas<br />

3. C<strong>on</strong>nectivity to <strong>prey</strong> refuge areas, high <strong>prey</strong> abundance<br />

areas, and <strong>predator</strong> refuge areas<br />

- Will they cross n<strong>on</strong>-habitat patches<br />

4. Will <strong>predator</strong> survival decline


How does idiosyncratic <strong>prey</strong> resp<strong>on</strong>se<br />

affect the <strong>predator</strong><br />

• All woodrats equally preferred <strong>prey</strong><br />

• Predator (spotted owls) inhabitat a gradient of<br />

particular habitat structure (e.g., late seral forest)<br />

• Owls in <strong>on</strong>e habitat (100 – 85% <strong>can</strong>opy closure) may<br />

have declining woodrats (species that prefer<br />

closed <strong>can</strong>opy) while owls in another habitat (70<br />

– 60 % closure) see little <str<strong>on</strong>g>change</str<strong>on</strong>g> in woodrats<br />

(those that prefer open forest).<br />

Bushytailed<br />

woodrat<br />

Big-eared<br />

woodrat


How <strong>can</strong> <strong>we</strong> manage for spatial<br />

idiosyncrasy<br />

Prey and Predators need access to a<br />

mosaic of habitat types<br />

– habitat patches need to c<strong>on</strong>tain desired<br />

structure<br />

– Must be c<strong>on</strong>nectivity bet<strong>we</strong>en patches<br />

• Many species may not cross what they perceive<br />

as n<strong>on</strong>-habitat despite the size of the n<strong>on</strong>habitat<br />

patch<br />

• C<strong>on</strong>servati<strong>on</strong> areas may need to expand or<br />

reassess their borders to meet these habitat<br />

shifts


ADAPTIVE RESEARCH<br />

WORK TOGETHER<br />

• With no clear patterns of biological resp<strong>on</strong>ses<br />

to <str<strong>on</strong>g>climate</str<strong>on</strong>g> <str<strong>on</strong>g>change</str<strong>on</strong>g><br />

• Apply general framework for approaching<br />

research<br />

– Change focus as new informati<strong>on</strong> arises<br />

• Integrate different sciences may be<br />

important in obtaining the ans<strong>we</strong>rs <strong>we</strong> need<br />

to guide adaptive management policies


Adaptive Research Framework<br />

1. Prioritize species of c<strong>on</strong>cern (e.g., Ecology)<br />

a. Pika are habitat specialists and they <strong>can</strong>’t escape to<br />

higher ground!<br />

- vulnerable m<strong>on</strong>tane mammals if temperatures increase the<br />

predicted 3 0 C (McD<strong>on</strong>ald and Brown 1992)<br />

b. Keyst<strong>on</strong>e c<strong>on</strong>sumer: Pika influence alpine plant<br />

compositi<strong>on</strong>, reduce inter-specific competiti<strong>on</strong> in<br />

plants<br />

c. Many <strong>predator</strong>s c<strong>on</strong>sume pikas<br />

d. Loss of pika leads to trophic cascades


Adaptive Research Framework<br />

2. Prioritize mechanisms of <str<strong>on</strong>g>change</str<strong>on</strong>g><br />

affecting species (Physiology and botany)<br />

a. Pika are limited in physiological ability to deal<br />

with heat<br />

- Increased temps reduce foraging times<br />

b. Reduced snow pack <str<strong>on</strong>g>change</str<strong>on</strong>g> plant compositi<strong>on</strong><br />

- Plant community pika not evolved to exploit <br />

c. Lack of livestock grazing associated with higher<br />

probability of local persistence (Beever et al. 2003)


Adaptive Research Framework<br />

3. Identify habitat features resilient or<br />

resistant to <str<strong>on</strong>g>change</str<strong>on</strong>g> (Geology)<br />

a. Rock glaciers and rock-ice features<br />

• Interstitial micro<str<strong>on</strong>g>climate</str<strong>on</strong>g> remains cool in summer<br />

(Delaloye and Lambiel 2005)<br />

• Pika refuge with disappearing snow patches (Millar et<br />

al. 2007)<br />

Rock glacier


Salient points<br />

GIVE ANIMALS ROOM TO ROAM<br />

As habitat <str<strong>on</strong>g>change</str<strong>on</strong>g>s:<br />

Prey need to find<br />

suitable habitat and<br />

the <strong>predator</strong>s need to<br />

find <strong>prey</strong> as they are<br />

seeking shifting<br />

habitats


Salient points<br />

ADAPTIVE RESEARCH<br />

Integrate different sciences:<br />

knowledge diversity is important in obtaining<br />

the ans<strong>we</strong>rs <strong>we</strong> need to guide adaptive<br />

management policies

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