Abstracts available here - Society for Conservation Biology
Abstracts available here - Society for Conservation Biology
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 />
removal (biodiversity goals); and nuances in regional political and cultural<br />
environments (the roles of people).<br />
2011-12-06 11:45 Global <strong>Conservation</strong> Agreements and a Political<br />
Ecology of Carbon Offshoring<br />
Davidsen, C*, University of Calgary;<br />
New global conservation models are on a desperate search <strong>for</strong> politically and<br />
economically effective approaches to carbon and conservation, cooperation,<br />
and an internalization of environmental costs on a global ecosystemic level.<br />
Ecuador’s Yasuní-ITT Initiative in the Upper Amazon rain<strong>for</strong>est proposes<br />
a new type of international carbon-and-conservation cooperation model<br />
that offers to leave oil reserves in the Ecuadorian Amazon under the surface<br />
in exchange <strong>for</strong> international carbon investments which compensate the<br />
state <strong>for</strong> not accessing these oil fields. The paper uses a political ecology<br />
perspective to examine the politics and clashes of underlying conservation<br />
cooperation agendas and the effects of carbon offshoring on shifting<br />
power relationships between global investors and providers of carbon<br />
and conservation. The analysis identifies key governance challenges of<br />
global conservation cooperation in emerging multi-scale networks and<br />
implementing states of the Global North and Global South in general.<br />
2011-12-08 15:45 Determinants of Global Extinction Risk in Marine<br />
Mammals<br />
Davidson, AD*, Institute of Ecology, National University of Mexico;<br />
Boyer, Alison G., Department of Ecology and Evolutionary <strong>Biology</strong>,<br />
Yale University; Kim, Hwahwan, Computational Sciences and<br />
Engineering, Oak Ridge National Laboratory; Pompa-Mansilla,<br />
S, Institute of Ecology, National University of Mexico; Hamilton,<br />
MJ, Santa Fe Institute; Costa, DP, Department of Ecology and<br />
Evolutionary <strong>Biology</strong>, University of Cali<strong>for</strong>nia, Santa Cruz; Ceballos,<br />
G, Institute of Ecology, National University of Mexico; Brown, JH,<br />
Department of <strong>Biology</strong>, University of New Mexico<br />
The world’s oceans have undergone profound changes over the last<br />
century as a result of human activities. However, the consequences of<br />
escalating human impacts on marine mammal biodiversity remains poorly<br />
understood. Currently almost 40% of all marine mammals are considered<br />
data deficient by the IUCN Red List, and the potential impacts of climate<br />
change on marine mammals are only beginning to be understood. With<br />
the number and extent of human impacts on the marine environment<br />
expected to increase with projected human population growth in coming<br />
decades, a growing number of species will be subject to these threats.<br />
Predictive models of species at risk are key to in<strong>for</strong>ming present and future<br />
conservation needs, yet such models have not been explored <strong>for</strong> marine<br />
mammals. We developed predictive and spatially explicit models of marine<br />
mammal extinction risk using machine learning approaches coupled with<br />
spatial analyses of habitat productivity and human impacts, including<br />
climate change. We show that the speed of life history is overwhelmingly<br />
the most important predictor of extinction risk in marine mammals. In<br />
general, intrinsic traits are more important predictors of extinction risk<br />
than extrinsic variables <strong>for</strong> marine mammals, as they measure the intrinsic<br />
susceptibility of species to human impacts. We also show that 30% of all<br />
marine mammals, including many data deficient species, are predicted to be<br />
at risk of extinction, and identify 9 global hotspots of marine mammal risk.<br />
2011-12-08 18:30 Poverty and provisioning ecosystem services in the<br />
Solomon Islands<br />
DAVIES, T*, St Andrews University; Fazey, I, St Andrews University;<br />
Pettorelli, N, Institute of Zoology, ZSL;<br />
T<strong>here</strong> is geographical overlap between extreme poverty and areas of high<br />
biodiversity, resulting in competition between biodiversity and food<br />
provision. This project utilised a mixed-methods approach within a<br />
participatory framework to investigate relationships between poverty and<br />
provisioning ecosystem services in a remote and poorly studied region<br />
w<strong>here</strong> people are highly dependent on natural resources <strong>for</strong> subsistence.<br />
This interdisciplinary approach ensured detailed local knowledge of the<br />
environment was accessed alongside improving local capacity. Six villages<br />
in the Kahua region of Makira-Ulawa Province, Solomon Islands were<br />
surveyed, with 12 focus groups (separate groups <strong>for</strong> men and women in<br />
each village) were held to identify indicators of poverty which was then<br />
incorporated into the household survey which was also used to collect<br />
data on a variety of provisioning ecosystem services used at the household<br />
level, including building materials, medicines and wild foods. A total of<br />
108 households were surveyed. The local importance and dependence on<br />
provisioning ecosystem services was found to be high, and also under flux<br />
as communities switch to a monetary economy those with income from<br />
cash crops, such as cocoa were less dependent on wild foods. The use of<br />
medicines was variable, as was bushmeat w<strong>here</strong> a variety of endemic species<br />
were found to be consumed (including the Prehensile-tailed skink (Corucia<br />
zebrata) and the Yellow-bibbed fruit dove (Ptilinopus solomonensis).<br />
2011-12-06 14:30 The Chagos/BIOT MPA: A cautionary case study on<br />
marine spatial planning<br />
Davies, TK*, Imperial College London;<br />
In April 2010 the UK Government announced the creation of the<br />
world’s largest no-take marine protected area within British Indian Ocean<br />
Territory (BIOT). This designation, which came about after a year-long<br />
process involving scientific review and public consultation, has been<br />
heralded a success by conservation groups. However the decision-making<br />
process leading to the designation has received wide criticism regarding<br />
how environmental, social and political viewpoints were represented and<br />
considered. Throughout the consultation process the impacts of the Chagos/<br />
BIOT MPA on regional (external) conservation and resource management<br />
objectives received little attention. In particular the reallocation of<br />
fishing ef<strong>for</strong>t from the MPA largely ignored, yet this can alter spatial and<br />
temporal patterns of exploitation and may prompt changes in the regional<br />
management of tuna and bycatch species. I outline the potential effects<br />
of fishing ef<strong>for</strong>t reallocation following the Chagos MPA designation, and<br />
the potential impacts both on tuna and bycatch species. This case study<br />
highlights important lessons regarding stakeholder participation in public<br />
consultation as well as the necessity to consider the indirect effects of<br />
designation via changes in resource user behaviour.<br />
2011-12-08 14:00 An oily end? Can lowland <strong>for</strong>est birds persist in the<br />
palm oil plantations of New Britain, Papua New Guinea?<br />
Davis, RA*, School of Natural Sciences, Edith Cowan Universityh<br />
Cowan;<br />
The Island of New Britain lies in the Bismarck Archipelago to the immediate<br />
east of Papua New Guinea and is characterized by a high endemism, with<br />
at least 37 endemic or restricted-range bird species. Un<strong>for</strong>tunately, New<br />
Britain is classed as one of the most at risk islands in the world due to<br />
the rapid rate of de<strong>for</strong>estation, primarily driven by conversion of lowland<br />
<strong>for</strong>est to oil palm plantations. Consequently Birdlife International recently<br />
upgraded the number of threatened bird species on New Britain from 12<br />
to 21, and t<strong>here</strong> is an urgent need <strong>for</strong> ecological data on bird utilization of<br />
palm oil plantations. We undertook 97 standardised surveys in remnant<br />
lowland <strong>for</strong>est and 82 transects in palm oil plantations. A total of 61 species<br />
were recorded from lowland <strong>for</strong>est and 32 in palm oil. However, only 5<br />
generalist species accounted <strong>for</strong> the vast majority of regular sightings in<br />
palm oil with most other species records being transitory. Over 55% of<br />
the lowland <strong>for</strong>est birds were never recorded in palm oil. Over 100 hours<br />
of surveys also failed to record a number of threatened endemic birds and<br />
these species are considered to now be extremely rare or locally extinct.<br />
I discuss these findings in result of generalist and specialist ecological<br />
attributes and the implications <strong>for</strong> conserving birds in Papua New Guinea’s<br />
palm oil landscapes.<br />
2011-12-08 14:12 Recent status of Ortolan Bunting Emberiza<br />
hortulana L., 1758 population in Ukraine<br />
Davydenko I.*, Biol. Dept., Shevchenko National University,<br />
Volodymyrska Str. 64, in Kiev, 01601; Serebryakov V., Biol. Dept.,<br />
Shevchenko National University, Volodymyrska Str. 64, in Kiev,<br />
01601;<br />
According to the numerous <strong>available</strong> literature and personal data Ortolan<br />
Bunting should be considered as common migratory breeding species<br />
which is spread on the whole terrotiry of Ukraine but spatially. This species<br />
is not recorded in the highlands of the Crimea and Carpathian Mountains.<br />
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