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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 />

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 />

37

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