The Greenland White-fronted Goose Anser albifrons flavirostris
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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