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Abstracts available here - Society for Conservation Biology

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25th International Congress <strong>for</strong> <strong>Conservation</strong> <strong>Biology</strong> • Auckland, New Zealand • 5-9 December 2011<br />

provisions to reduce expansion of mangrove habitats, through removal of<br />

seedling colonists and/or adult trees. The poorly defined ecological value<br />

of the services provided by mangroves in temperate estuaries provides little<br />

guidance of how mangrove removal will impact on ecosystem function.<br />

Here, we investigate one ecosystem service, that of the trophic role provided<br />

by temperate mangroves, determined by the decomposition of mangrove<br />

detritus (fallen leaves and wood) and its uptake by marine organisms.<br />

Firstly, we quantified rates of leaf litter fall from mangroves, sampling litter<br />

fall traps monthly at two sites in Whangamata Harbour, to derive estimates<br />

of <strong>for</strong>est productivity and detrital input into the estuary. Secondly, we<br />

calculated decomposition rates of buried and exposed mangrove detritus<br />

at varying tidal heights, shading, and sediment type. Finally, we measured<br />

the effect of adding mangrove detritus on infaunal organisms to determine<br />

the role that mangrove detritus plays in supporting estuarine food webs.<br />

Our results establish the linkages between mangrove detritus and estuarine<br />

ecosystem functioning, by measuring the input of mangrove material into<br />

the detrital food web as well as the resulting changes in benthic community<br />

structure.<br />

2011-12-08 11:00 Human Health Impacts of Ecosystem Services:<br />

Wildlife Consumption and Food Security<br />

Golden, CD*, Harvard University School of Public Health/Center<br />

<strong>for</strong> the Environment;<br />

Biodiversity loss and large-scale wildlife declines are now globally pervasive<br />

and well-documented.These losses have triggered severe ecological<br />

ramifications such as trophic meltdown, loss of critical ecological<br />

interactions and extinctions of fish and game species.Surprisingly few<br />

studies have quantified the effects of wildlife declines on human economies<br />

and health outcomes, despite the essential role of wildlife consumption<br />

in shaping human evolution and in the diet of hundreds of millions of<br />

rural people across the globe. Wildlife declines are likely to have direct<br />

and powerful effects on human health and nutrition, particularly via lost<br />

access to critical micronutrients. We quantify the contribution of harvested<br />

wildlife to human nutrition in rural Madagascar and demonstrate with<br />

empirical data and predictive models that wildlife loss could induce a 1.3<br />

fold increase in the prevalence of childhood anaemia. While many studies<br />

have suggested that wildlife can provide a food security safety net, our study<br />

illuminates quantitative links between micronutrients derived from wildlife<br />

and critical human health outcomes. These results provide a clear example<br />

of how rapid global declines of access to wildlife <strong>for</strong> consumption, due<br />

either to conservation measures or wildlife depletion, could significantly<br />

affect the health of local human populations. Such linkages between<br />

biodiversity loss and human health highlight the need <strong>for</strong> research and<br />

mitigation approaches that integrate the disciplines of public health and<br />

conservation biology.<br />

2011-12-09 12:00 Population genomics of a conservation dependent<br />

deep-sea fish species, orange roughy (Hoplostethus atlanticus)<br />

Gonçalves da Silva, Anders*, CSIRO Marine and Atmospheric<br />

Research; Barendse, William, CSIRO Livestock Industry; Kijas,<br />

James, CSIRO Livestock Industry; Barris, Wes, CSIRO Livestock<br />

Industry; McWilliam, Sean, CSIRO Livestock Industry; Bunch,<br />

Rowan, CSIRO Livestock Industry; Hoelzel, Rus A., Durham<br />

University; England, Phillip R., CSIRO Marine and Atmospheric<br />

Research<br />

Marine fish are usually hard to observe, highly mobile, and often longlived<br />

with large effective population sizes. This poses particularly difficult<br />

challenges to fisheries managers when defining stock structure. Past<br />

work in orange roughy has generally found low genetic differentiation<br />

at global spatial scales. Here, we examine genome-wide genetic variation<br />

and describe population structure in orange roughy. Allelic variation was<br />

surveyed at thousands of single nucleotide polymorphism (SNP) sites using<br />

custom-built 5K Illumina Infinium chips in samples spanning the known<br />

range of the species. We found low genetic differentiation at global scales,<br />

on the order expected under “drift connectivity”. Initial clustering analysis<br />

based on discriminant analysis of principal components on the whole<br />

SNP set separated broad geographic regions (e.g., western South Africa<br />

vs. Australia), but did not separate sampling sites within regions. Thus, a<br />

large number of genetic markers have allowed us to confidently detect some<br />

population differentiation when none was initially expected, and detect<br />

population boundaries at broad spatial scales. Analyses based on outlier loci<br />

are currently underway as they are potentially valuable in determining stock<br />

structure in marine species that show low divergence over large geographical<br />

scales. The data presented improve on previous genetic analyses, however<br />

present a new challenge on how to treat such low levels of differentiation<br />

when managing fisheries.<br />

2011-12-09 15:00 Biases in comparative analyses of extinction risk:<br />

mind the gap<br />

González-Suárez, M*, Estación Biológica de Doñana EBD-CSIC;<br />

Lucas, P.M., Estación Biológica de Doñana EBD-CSIC; Revilla, E.,<br />

Estación Biológica de Doñana EBD-CSIC;<br />

Understanding what makes a species more vulnerable to extinction is a key<br />

objective in conservation biology. A popular and appealing answer is based<br />

on comparative analyses that explore the links between higher vulnerability<br />

and intrinsic ecological and life history traits. Comparative analyses require<br />

in<strong>for</strong>mation on multiple species which are assumed to be a representative<br />

sample of the overall biodiversity or taxonomic group of interest. Our study<br />

challenges this assumption by describing important taxonomic, regional,<br />

and data type biases associated with the number of data <strong>available</strong> <strong>for</strong><br />

mammalian species. We show that biases are partly explained by intrinsic<br />

species traits with larger mammals occupying bigger range areas being the<br />

best studied. Importantly, these biases in data availability affect the results<br />

of comparative analyses, raising concerns over our ability to draw general<br />

conclusions regarding which species traits are associated with vulnerability<br />

to extinction. Addressing this problem will require greater investment<br />

in data collection and dissemination, as well as the development of<br />

methodological approaches to correct existing biases.<br />

2011-12-06 17:00 <strong>Conservation</strong> of endangered woodlands in a patch<br />

dynamic system<br />

Good, M.K*, University of New England; Clarke, P., University of<br />

New England; Price, J. N., University of Tartu; Reid, N., University<br />

of New England;<br />

Eucalyptus coolabah (Coolibah) woodlands are an endangered ecological<br />

community that have been extensively cleared in Australia. Little is known<br />

of the population biology of Coolibah other than its ability to recruit en<br />

masse following flood events. On the northern riverine plains of NSW,<br />

densely regenerating Coolibah is regarded as an encroaching woody species<br />

due to a perceived increase in density, but the evidence is equivocal. We<br />

measured population structure in woodlands and regenerating stands:<br />

smaller size classes were absent from remnant woodlands and t<strong>here</strong> were<br />

few large trees in dense stands. These results support a model of savanna<br />

patch dynamics in which episodic recruitment and mortality are driven<br />

by patchily distributed establishment and recruitment events. At the patch<br />

scale, tree density appears to be decreasing in some areas and increasing in<br />

others. When patches are pooled, however, all size classes are represented<br />

and the meta-population appears stable. In dense stands, we found a strong<br />

relationship between tree size (DBH) and distance to nearest neighbour<br />

indicating that intra-specific competition leads to self thinning. It is likely<br />

that dense Coolibah regrowth is simply a seral state leading to mature<br />

woodland over time, and so conservation of Coolibah woodlands should be<br />

considered at a landscape scale.<br />

2011-12-09 18:00 Impacts of an alien grass on native coastal plant<br />

communities<br />

Gooden, B.*, Institute <strong>for</strong> <strong>Conservation</strong> <strong>Biology</strong> & Environmental<br />

Management, School of Biological Sciences, University of Wollongong;<br />

French, K., Institute <strong>for</strong> <strong>Conservation</strong> <strong>Biology</strong> & Environmental<br />

Management, School of Biological Sciences, University of Wollongong;<br />

Alien plants significantly threaten native biodiversity, yet in<strong>for</strong>mation<br />

on community-level impacts remains poorly understood. This study<br />

investigated the changes in coastal <strong>for</strong>est communities following invasion<br />

by an alien, stoloniferous, C4 grass, Stenotaphrum secundatum, in southeastern<br />

Australia. Invaded plots had 80% fewer native ground-layer plants<br />

and substantially different compositions than native reference plots.<br />

Importantly, invaded and native sites did not differ in key landscape<br />

parameters, including number of living and dead trees, distance to edges<br />

59

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