species distribution modelling Flashcards

1
Q

what are the three dependent variables for distribution modelling?

A

occupancy, abundance and species richness

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2
Q

what does resource selection function do?

A

identify areas within landscapes that are (frequently) occupied by a population of a species, and assuming they are there because of resources

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3
Q

what type of data is a species occupying a location or not?

A

Binary

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4
Q

in resourse selection function, how to determine presence?

A

direct and indirect observations

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5
Q

in resourse selection function, how to determine absence?

A

direct and indirect observations, and random points where the species have not been seen

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6
Q

How to visually compare distribution selected vs available locations in resource selection function?

A

in graphs with available and selected, if the selected part follows the available, or is very broad there is no selection. if it’s small there is.

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7
Q

what’s a simple way of quantifying habitat use?

A

Resource seleciton ratios

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8
Q

how to calculate resource selection ratios?

A

Proportion used= Number of observations in habitat type i / total number of observations
Proportion available= area habitat type i / total area.
Then you can calculate the resource selection rate (Wi) = prop. Used / Prop. Available

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9
Q

when is there selection or not in Wi?

A

If Wi = 1, no selection
If Wi = >1, selection
If Wi = <1. avoidance

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10
Q

how to really explain presence and absence?

A

Generalized linear model (GLM)

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11
Q

what’s the principle of maximun entropy?

A

the assumption that every location where species has been observed has the same probability of presence.

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12
Q

what’s AUC?

A

measure of model fit

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13
Q

when is the AUC good?

A

AUC= 0.5 means a straight line, and random chance. rule of thumb >0.7 then it’s okay.

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14
Q

when do you use MaxEnt?

A

with presence only data

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15
Q

what is Wi?

A

resource selection ratio

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16
Q

What is the dependent variable in GLM? and independent?

A

Dependent: present absent. Independent: all environmental variables

17
Q

what to test for before summarising GLM?

A

Collinearity (vif) of the covariates (must be <5)

18
Q

In maxent output, what is ‘without variable’?

A

if you lose the variable, it gives the largest drop.

19
Q

In maxent output, what is ‘with variable’?

A

highest model fit