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The Greenland White-fronted Goose Anser albifrons flavirostris

The Greenland White-fronted Goose Anser albifrons flavirostris

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NUTRIENT &<br />

ENERGY<br />

ACCUMULATION<br />

RATES<br />

RESEARCH<br />

1. Determining factors<br />

affecting food availability to<br />

an individual, influenced by<br />

site based disturbance,<br />

range quality, local density,<br />

position in dominance<br />

hierarchy, etc.<br />

OBJECTIVE<br />

A. Predicting effects of<br />

change likely to come<br />

from climate, land-use<br />

policy and conservation<br />

management change<br />

Individual<br />

decisionmaking<br />

RESEARCH<br />

2. Monitor the processes of<br />

individual decision-making which<br />

affect nutrient acquisition, e.g.<br />

emigration from poor quality sites,<br />

pairing and departure from family<br />

unit<br />

OBJECTIVE<br />

B. Establish the behavioural<br />

flexibility of the individual to<br />

change its ability to acquire<br />

adequate stores to attain<br />

condition thresholds at critical<br />

points in the life cycle<br />

ale for all research to date has been driven by<br />

nature conservation objectives, and although<br />

there are many curiosity driven research objectives<br />

that could be included as well, the key conservation<br />

questions are as follows: (i) What factors<br />

affect changes in abundance at wintering<br />

sites? (ii) What factors limit successful recruitment<br />

into the breeding class? (iii) How will the effects<br />

of predicted global climate change affect the<br />

population (iv) How will the Canada <strong>Goose</strong><br />

population of West <strong>Greenland</strong> affect the <strong>White</strong><strong>fronted</strong><br />

<strong>Goose</strong> population?<br />

Armed with a means of measuring condition, it<br />

becomes possible to reformulate these questions<br />

in the context of the direct effects of food quality<br />

and factors affecting feeding rates (as a result of<br />

climate change, inter- or intra-specific competition<br />

or human disturbance). Such an approach can<br />

offer conservation management solutions on the<br />

wintering grounds (for example where intervention<br />

management can improve food quality or<br />

restriction on human activity can reduce disturbance<br />

to feeding patterns). Using measures of<br />

condition on the pre-breeding spring staging areas,<br />

it becomes possible to measure and contrast<br />

density-dependent effects amongst potentially<br />

breeding females in the prelude to clutch initiation<br />

and investigate the role of nutrient limitation<br />

and effects of competition at this time.<br />

CONDITION<br />

ability to meet<br />

current and<br />

future nutrient<br />

and energy<br />

needs<br />

RESEARCH<br />

3. Measure individual condition<br />

at all stages of the life cycle,<br />

especially during transition<br />

states (when individuals go<br />

from phases of accumulation<br />

to expenditure)<br />

OBJECTIVE<br />

C. Establish the effects of<br />

individual behaviour on the<br />

accumulation of stores for<br />

critical periods of use in the<br />

annual cycle<br />

FITNESS<br />

CONSEQUENCES<br />

RESEARCH<br />

4. Determine reproductive and<br />

survival consequences for the<br />

individual of nutrient/energy<br />

accumulation and scale up to<br />

population processes<br />

OBJECTIVE<br />

D. Predict future individual<br />

behaviour and potential future<br />

population trajectories<br />

Figure 9.5. Schematic representation of the effects of nutrient accumulation rates (mediated by individual behaviour)<br />

on body condition and fitness in <strong>Greenland</strong> <strong>White</strong>-<strong>fronted</strong> Geese, showing associated research questions<br />

and objectives associated with each level.<br />

Such empirical relationships are vital for our understanding<br />

of small-scale population processes<br />

and individual behaviours. However, there remains<br />

a need to generate large-scale predictions<br />

about the effects of, for instance, macro changes<br />

in land use on the wintering grounds, or the effects<br />

of climate change throughout the entire geographical<br />

range. From the point of view of contributing<br />

to predictive models, such investigations<br />

also provide basic data regarding the behaviour<br />

of individuals in response to local goose<br />

densities or their position in dominance hierarchies.<br />

When does a goose of potential breeding<br />

age pair and how is this decision condition mediated?<br />

What conditions make an established pair<br />

emigrate from a poor quality winter site to another<br />

site? What are the fitness consequences of<br />

changing site for low, medium or high ranking<br />

birds at wintering sites of different quality?<br />

Perhaps most important, the measure of the capacity<br />

of individuals to make adjustments to their<br />

annual cycle which potentially improve fitness<br />

measures gives the potential to assess the flexibility<br />

of the population and its capacity to exploit<br />

novel opportunities. This element is important.<br />

In the past, it has been difficult to predict<br />

the patterns of development in the abundance of<br />

wild goose populations. From the low levels of<br />

abundance in the 1930s, protection measures put<br />

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