Abstracts available here - Society for Conservation Biology
Abstracts available here - Society for Conservation Biology
Abstracts available here - Society for Conservation Biology
You also want an ePaper? Increase the reach of your titles
YUMPU automatically turns print PDFs into web optimized ePapers that Google loves.
25th International Congress <strong>for</strong> <strong>Conservation</strong> <strong>Biology</strong> • Auckland, New Zealand • 5-9 December 2011<br />
suggest that a return to a more scientifically rigorous approach is now<br />
warranted. We t<strong>here</strong><strong>for</strong>e suggest a paradigm-shift by revisiting but also<br />
further developing a three-component approach to biodiversity-assessment<br />
originally put <strong>for</strong>ward more than two decades ago by Noss (1990, Conserv.<br />
Biol. 4(4):355-364). This reworked framework comprehensively evaluates<br />
three components of biodiversity (function, structure, and composition;<br />
or biodiversity processes, patterns, and species, respectively) and remains<br />
scientifically rigorous by accounting <strong>for</strong> the ecological and biophysical<br />
mechanisms that drive the status of components and by targeting specific<br />
biodiversity processes and patterns.<br />
attacks and disease. The results show that constraints limit the ability of<br />
achieving a certain target population growth rate. However, the overall<br />
management strategy <strong>for</strong> investing in various management actions remains<br />
the same. For low target population growth rate, the optimal strategy is to<br />
invest predominantly in reducing vehicle collisions and dog attacks. For<br />
high target population growth rate, a substantial investment in habitat<br />
restoration is required. This framework is important in planning the<br />
recovery of declining species exposed to multiple threats that is becoming<br />
critically important <strong>for</strong> many species.<br />
2011-12-08 18:30 Co-Management Approach <strong>for</strong> Pygmy Seahorse<br />
<strong>Conservation</strong>: A Case Study <strong>for</strong> Recreational Diving Industry in<br />
Semporna, Malaysia<br />
Choo, C.K.*, Department of Marine Science, Universiti Malaysia<br />
Terengganu; Yeong, Y.L., Department of Marine Science, Universiti<br />
Malaysia Terengganu; Orosco, C.O., Department of Marine Science,<br />
Universiti Malaysia Terengganu; Maidin, N., nasrulhm@gmail.com;<br />
Two species of pygmy seahorses (Hippocampus bargibanti and H. denise)<br />
were popular attractions among divers in the Semporna waters, Sabah.<br />
However, a consultation workshop involving multiple stakeholders (dive<br />
guides, dive center managers, professional underwater photographer,<br />
resource managers, NGOs and researchers) revealed that intense<br />
photography flashlight, direct physical disturbance to, and relocation<br />
of, pygmy seahorses and seafan hosts, had threatened the populations.<br />
Through an iterative process of selection, the stakeholders developed<br />
management protocols <strong>for</strong> pygmy seahorses by identifying threats to<br />
pygmy seahorses and suggested the corresponding management options.<br />
Nine management protocols were established following an open discussion<br />
on the tangibility of implementation strategy. These are: 1) improved<br />
education and awareness among divers, 2) prohibition on touching pygmy<br />
seahorse and seafan, 3) prohibition of novice divers from visiting pygmy<br />
seahorse site, 4) prohibition on the use of octopus as a searching technique,<br />
5) improved en<strong>for</strong>cement, 6) imposing quota on the number of divers, 7)<br />
minimizing the use of flashlight and reducing flashlight intensity, 8) using<br />
magnifying glass as a viewing tool, and 9) facilitate coordination among<br />
dive centers through self-regulatory practice. The management protocols<br />
were subsequently translated into poster materials distributed at each dive<br />
centers. An assessment of the effectiveness of the developed protocols is<br />
necessary and should be supplemented by adaptive management plans.<br />
2011-12-09 12:00 Accounting <strong>for</strong> constraints in optimal resource<br />
allocation <strong>for</strong> mitigating multiple threats<br />
Chooi Fei Ng*, The University of Queensland, School of Mathematics,<br />
Brisbane, Queensland, QLD 4072, Australia; Hugh P. Possingham,<br />
The University of Queensland, The Ecology Center, Brisbane, QLD<br />
4072, Australia; Deidré L. de Villiers, Queensland Department of<br />
Environment and Resource Management, P. O. Box 15155, City East,<br />
QLD 4000, Australia; , Harriet J. Preece, Queensland Department<br />
of Environment and Resource Management, P. O. Box 15155, City<br />
East, QLD 4000, Australia; Clive A. McAlpine, The University of<br />
Queensland, Center <strong>for</strong> Spatial Environmental Research, School<br />
of Geography, Planning and Environmental Management, Brisbane,<br />
QLD 4072, Australia; Jonathan R. Rhodes, The University of<br />
Queensland, Center <strong>for</strong> Spatial Environmental Research, School<br />
of Geography, Planning and Environmental Management, Brisbane,<br />
QLD 4072, Australia;<br />
Finding cost-effective management strategies <strong>for</strong> the recovery of species<br />
declining due to multiple threats is a major challenge <strong>for</strong> decision makers<br />
with the limited resources <strong>available</strong>. Although the implications of costs<br />
among multiple conservation actions were reasonably well understood,<br />
the consequences of multiple constraints and opportunities are unknown.<br />
By integrating the population growth rate with return on investment<br />
curves that take into account of multiple constraints in a decision theory<br />
framework, we examine how these constraints affect the optimal allocation<br />
of resources among various conservation actions. We demonstrated this<br />
using a rapidly declining koala (Phascolarctos cinereus) population in<br />
eastern Australia that is threatened by habitat loss, vehicle collisions, dog<br />
2011-12-08 18:30 Habitat selection of the endangered Hawaiian<br />
goose: a multi-scale approach<br />
Christina Cornett*, Tropical <strong>Conservation</strong> <strong>Biology</strong> & Environmental<br />
Science, University of Hawai`i, Hilo; Steven C. Hess, Pacific Island<br />
Ecosystems Research Center, U.S. Geological Survey, Kīlauea Field<br />
Station, Hawai`i National Park, HI;<br />
While much is known about the endangered Hawaiian goose or Nēnē<br />
(Branta sandvicensis) during the breeding season, very little is understood<br />
about movements and habitat use in the non-breeding season. This habitat<br />
selection study identifies preferred Nēnē habitats and how preference shifts<br />
seasonally. Because habitat selection modeling may yield different results<br />
when measured at different scales, we measured habitat characteristics at<br />
both broad and fine scales. In 2009-2010, we outfitted eight Nēnē ganders<br />
on Hawai`i Island with 40-45 gram satellite transmitters. Nēnē accepted<br />
the transmitters and provided us with over 3,500 GPS locations in near<br />
real-time. Broad scale habitat modeling revealed that Nēnē prefer humanmodified<br />
landscapes during the breeding season and higher elevation<br />
locations dominated by native shrubland during the non-breeding season.<br />
Despite the lack of natural sources of standing water on Hawai`i Island<br />
and the terrestrial nature of Nēnē, all of our subjects have centered clusters<br />
of locations seasonally around water features, reflecting the notes of<br />
early naturalists. Two subjects revealed roosting areas within a subalpine<br />
shrubland known as Kīpuka Nēnē surrounded by rugged a`ā lava flows,<br />
w<strong>here</strong> Nēnē had not been observed since 1949. Hawai`i Island Nēnē appear<br />
to be recovering some traditional movement patterns lost during their<br />
severe population reduction of the 20th century.<br />
2011-12-06 16:45 Interacting effects between climate change and<br />
habitat loss on biodiversity: a systematic review and meta-analysis<br />
Chrystal S. Mantyka-Pringle*, University of Queensland, Centre<br />
<strong>for</strong> Spatial Environmental Research, School of Geography, Planning<br />
and Environmental Management, Brisbane, Qld 4072, Australia;<br />
University of Queensland, Australian Research Council Centre of<br />
Excellence <strong>for</strong> Environmental De; Tara G. Martin, University of<br />
Queensland, Australian Research Council Centre of Excellence <strong>for</strong><br />
Environmental Decisions, Brisbane, Qld 4072, Australia; CSIRO<br />
Ecosystem Sciences, Brisbane, Qld 4102, Australia; Jonathan R.<br />
Rhodes, University of Queensland, Centre <strong>for</strong> Spatial Environmental<br />
Research, School of Geography, Planning and Environmental<br />
Management, Brisbane, Qld 4072, Australia; University of<br />
Queensland, Australian Research Council Centre of Excellence <strong>for</strong><br />
Environmental De;<br />
One of the most pressing questions of the twenty-first-century in ecology<br />
and conservation is how do multiple stressors interact and cumulatively<br />
impact ecosystems and their biodiversity. In this paper we present a metaanalysis<br />
of studies that quantify the effect of habitat loss on biological<br />
populations and examine whether the magnitude of these effects depends<br />
on current climatic conditions and historical rates of climate change.<br />
The main findings are first, that climate change exacerbates the negative<br />
effects of habitat loss on species density and/or diversity. Second, the most<br />
important determinant of habitat loss and fragmentation effects, averaged<br />
across species and geographic regions, was max temperature, with mean<br />
precipitation change over the last 100 years of secondary importance.<br />
Fragmentation effects were greatest in areas with high temperatures.<br />
Conversely, fragmentation effects were lowest in areas w<strong>here</strong> average<br />
rainfall has increased over time. This is the first study to conduct a global<br />
analysis of existing data to quantify and test <strong>for</strong> interacting effects between<br />
climate and habitat loss on biological populations. Thus, our results<br />
29