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http://hdl.handle.net/123456789/2259
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Title: | Identifying Ecological and Life-History Drivers of Population Dynamics of Wetland Birds in South Africa |
Authors: | Yahkat, Barshep Erni, Birgit Underhill, Les G. Altwegg, Res |
Keywords: | Population trends Phylogenetic regression State-space models Waterbird counts |
Issue Date: | 2017 |
Publisher: | Global Ecology and Conservation |
Series/Report no.: | ;Pp 96-107 |
Abstract: | Identifying species most vulnerable to environmental change requires reliable estimates of
population trends and identification of traits that tend to be associated with these trends.
Using state-space models that explicitly describe how the population size changes over
time, we estimated population trends of 25 non-migratory African, 13 intra-African migrants,
and 16 Palaearctic migratory waterbird species during 1995e2009 in South Africa.
Using the average of the slope of the last five years (2005e2009), we used phylogenetic
generalized least squares analyses to identify relationships with life-history (parental care,
extent of polygamy, chick development, body size, average brood size) and ecological traits
(migratory status, breeding latitude, foraging guild, wintering habitat type). The significant
predictors of population trend were migratory status, average brood size, type of chick
development (altricial, semiprecocial, precocial), and extent of male polygamy
(0%, ¼ <20%, >20%). Long-distance Palaearctic migrants and African non-migratory species
on average suffered the greatest magnitude of decline, intra-African migrants showed
population increase. There was a negative relationship between population trend and
average brood size with an increase in brood size resulting in negative trends. Altricial
species and species with some extent of polygamy (¼<20%) had the greatest population
increase. Our results provide evidence that these recent population trends were nonrandom
with respect to life-history traits. |
URI: | http://hdl.handle.net/123456789/2259 |
Appears in Collections: | Zoology
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