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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 />

Species distribution models (SDMs) are commonly used <strong>for</strong> making<br />

predictions about the impacts of threatening processes, such as climate<br />

change, on species’ distributions. These models are typically correlative,<br />

identifying determinants of species occurrence by finding statistical<br />

associations between occurrence localities and environmental characteristics.<br />

However, although practical and widely adopted, this approach suffers<br />

from a range of uncertainties that emerge from subjective judgements<br />

made throughout the modelling process. Two key sources of subjective<br />

uncertainty lie in the choice of relevant environmental covariates, and in<br />

the treatment of habitat components critical to the species’ persistence (e.g.<br />

geological features). The present research investigates the consequences of<br />

these subjective decisions on the outcomes of species distribution modelling<br />

through a case study of an alpine specialist, the endangered Australian<br />

mountain pygmy-possum, Burramys parvus. The Maxent algorithm was<br />

used to develop a range of SDMs <strong>for</strong> this species, each of which incorporated<br />

a unique subset of ecologically-relevant environmental correlates <strong>for</strong> habitat<br />

suitability, as well as alternative methods <strong>for</strong> representing the influence of<br />

boulderfields on the suitability of habitat <strong>for</strong> pygmy-possums. This study<br />

highlights the uncertainties arising from subjective modelling choices when<br />

predicting the impacts of climate change on biodiversity.<br />

2011-12-07 14:30 Cost-effective habitat management strategies <strong>for</strong><br />

White-backed Woodpecker recovery in Sweden<br />

Baxter, PWJ*, The University of Queensland; Possingham, HP,<br />

The University of Queensland; Gren, I-M, Swedish Agricultural<br />

University; McCarthy, MA, The University of Melbourne;<br />

Mikusiński, G, Swedish Agricultural University;<br />

The White-backed Woodpecker (WBW; Dendrocopos leucotos) is<br />

widespread in Eurasia but critically endangered in Sweden, rapidly<br />

declining in numbers throughout the last century. The resultant concern<br />

has led to considerable planning and investment in its recovery. Managers<br />

involved in the WBW Action Plan have identified sites with the greatest<br />

potential <strong>for</strong> woodpecker habitat restoration. These include areas that are<br />

largely protected and already provide suitable habitat, and managed <strong>for</strong>ests<br />

likely to provide such habitat in future. We modelled woodpecker-oriented<br />

management of these <strong>for</strong>est areas and the resultant WBW population, using<br />

an optimisation approach to identify cost-effective strategies that attain a<br />

sustainable WBW population by 2070. Sites selected by managers differ<br />

in their contribution to WBW habitat and recovery, however, and t<strong>here</strong><strong>for</strong>e<br />

different approaches to site identification and management can further<br />

reduce costs. Further analyses at coarser and finer spatial scales highlight the<br />

effect of spatial resolution on identifying efficient conservation strategies.<br />

2011-12-06 12:15 Mechanisms of Accelerated Human Population<br />

Growth at Protected Area Edges<br />

Bean, WT, University of Cali<strong>for</strong>nia, Berkeley; Burton, AC, Alberta<br />

Biodiversity Monitoring Institute; Brashares, JS*, University of<br />

Cali<strong>for</strong>nia, Berkeley; Wittemyer, G, Colorado State University;<br />

For more than a century, protected areas (PAs) have served as the default<br />

mechanism <strong>for</strong> conservation. However, commentators have long argued<br />

that the costs of PA creation are borne disproportionately by disenfranchised<br />

local communities. Recent work has suggested that, despite potential costs<br />

of living on the edge of PAs, rural human population growth in Africa<br />

and Latin America has occurred disproportionately along the edges of PAs.<br />

Mechanisms <strong>for</strong> this growth have been disputed. In this talk, we present<br />

a broad approach <strong>for</strong> identifying potential mechanisms <strong>for</strong> accelerated<br />

human population growth at PA edges be<strong>for</strong>e and after PA establishment.<br />

We found that a majority of PAs in Africa and Latin America experienced<br />

higher human population growth along their edges after establishment,<br />

while less than 15% of PAs analyzed appeared to repulse human<br />

populations. As many as 1/3 of PAs appear to have undergone accelerated<br />

population growth due to an expanding rural frontier rather than PA<br />

establishment. Our results suggest that PAs in Africa and Latin America are<br />

attracting humans to their edges. The causes and consequences of such a<br />

result must be determined at a more local scale and through case studies. To<br />

that end, we also present a list of the 201 PAs analyzed and the mechanisms<br />

associated with their growth.<br />

2011-12-08 15:30 Connectivity in coral reef conservation planning:<br />

Dealing with future challenges<br />

Beger, M*, The University of Queensland;<br />

In this talk I discuss approaches and benefits to incorporate connections<br />

into systematic conservation planning. Connectivity between land and<br />

seascapes, as well as dispersal connectivity in the sea are a frontier in<br />

conservation science and practice. Technical challenges with obtaining<br />

meaningful data and utilizing them in transparent systematic approaches<br />

have largely prevented the consideration of connectivity in conservation<br />

decision processes. I highlight these challenges, and provide solutions<br />

to some, based on case studies that include: (1) using thermal stress and<br />

freshwater inundation risk to prioritise Great Barrier Reefs (GBR) <strong>for</strong><br />

conservation, (2) planning marine reserve networks with asymmetric<br />

connectivity on the GBR, and (3) planning with multi-species connectivity<br />

in the Coral Triangle. With these examples, I present a framework of<br />

incorporating the spatial, temporal and species-specific variability of<br />

connectivity that is underpinned by the newly developed capability of the<br />

decision support system MARXAN to incorporate connectivity.<br />

2011-12-06 10:30 Mini-keynote: The science behind large landscape<br />

connectivity initiatives<br />

Beier, Paul*, Northern Arizona University;<br />

Connectivity analyses – including least-cost modeling, circuit theory,<br />

graph-theory, & individual-based movement models – depend crucially<br />

on estimates of the “resistance” of land covers, topographic features, and<br />

human-created landscape features. In this symposium, Spear explains how<br />

resistance quantifies relationships between landscape features and gene<br />

flow. Resistance values are usually based on expert opinion or inferred from<br />

habitat use. Empirical procedures provide better estimates, especially if<br />

based on patterns of genetic relatedness. Three speakers (Cushman, Wang,<br />

& Graves) describe alternative ways to identify the set of resistance values<br />

most consistent with observed genetic patterns. In each case, empirical<br />

resistance estimates differed from subjective assignments in a way that led<br />

to different strategies <strong>for</strong> species and landscapes of conservation concern.<br />

The last 2 speakers explore different aspects of resistance. Because climate<br />

change may render species-conservation plans moot, Beier advocates<br />

planning <strong>for</strong> connectivity of land facets (coarse-filter units representing<br />

unique combinations of soil & topography) and describes how to estimate<br />

resistance <strong>for</strong> these units. McKelvey describes how to use resistance estimates<br />

to characterize connectivity across an entire landscape, independent<br />

of putative starting points. Implementing these approaches to support<br />

conservation on 4 continents is explored in tomorrow’s continuation of this<br />

symposium as SY18.<br />

2011-12-08 15:00 A Century of Trophic Change: Retrospective<br />

Analysis of Fishing and Oceanographic Variability on Seabird Diets<br />

Beissinger, S.R.*, U.C. Berkeley; Becker, B.H., Point Reyes<br />

National Seashore; Moody, A., U.C. Berkeley; Semmens, B.,<br />

Northwest Fisheries Lab, NOAA; Ward, E., Northwest Fisheries Lab,<br />

NOAA; de Valpine, P., U.C. Berkeley;<br />

Overfishing has changed marine community structure, species dominance<br />

and ecosystem characteristics. Subsequently, trophic interactions observed<br />

today might be artifacts of recent structural changes to marine communities.<br />

However, the relative impacts of overfishing are often difficult to distinguish<br />

from natural variability in fish stocks due in part to fluctuations in ocean<br />

climate that affects community composition. We investigate how the<br />

trophic level of five marine avian predators (Cassin’s Auklet, Common<br />

Murre, Marbled Murrelet, Pelagic Cormorant and Tufted Puffin), which<br />

differ in contemporary food habits (from planktivorous to piscivorous to<br />

omnivorous), has varied over the past century in the Cali<strong>for</strong>nia Current by<br />

reconstructing their diets from changes in their stable isotopic signatures,<br />

and whether diet variation can be attributed to the overfishing of prey<br />

or cyclic changes in ocean temperature. Trophic-level declines (i.e., δ15<br />

N) occurred in all 5 seabirds examined. No diets exhibited an increase in<br />

trophic level. The magnitude of decline ranged from 0.43 o/oo to 2.10 o/oo,<br />

representing a decline of 1/7 to 2/3rds of a marine trophic level (3.1 o/oo).<br />

Declines differed by season and no species declined in both seasons. Linear<br />

declines were most common, making identification of the onset of decline<br />

unclear. Both bottom-up effects of changing ocean climate (regional and<br />

local) and top-down effects of fish hauls were related to trophic variation.<br />

11

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