Using zoos to protect climate change threatened taxa and to understand species traits for wildlife tourism

Lead Research Organisation: Durham University
Department Name: Biosciences

Abstract

Background: Modern zoos have multiple objectives including public recreation and education, and aiding ex situ species conservation; the latter being increasingly important. Currently, zoos host collections that combine attracting visitors with conserving threatened species. However, there is little consideration of species that are likely to become threatened in future. Ongoing and future climate change is a major threat that will produce new species of conservation concern, yet this is not currently considered. In addition, conservation in the wild is increasingly dependent upon wildlife tourism income, the drivers of which are not well understood.
Aims: Here we propose to address how climate change might impact on both in situ and ex situ species conservation, and to assess to what extent terrestrial species threatened by climate are overlooked in zoos currently. In addition, we will assess, though both field studies and in zoos, the primary drivers of species attractiveness to visitors in these different environments. Armed with such knowledge, we will produce information on: (a) species of climate threat that are not currently conserved in zoos; (b) the traits of species that make them attractive to wildlife or zoo tourism, and; (c) protected areas globally that are projected to lose wildlife tourism attractor species and identify areas where translocations could benefit long-term conservation goals.
Methods: Species modelling methods Ongoing work in Durham is predicting future range shifts of birds and mammals globally under climate and land-cover change scenarios, so we already have projections of range changes for birds and mammals (our two focal taxa) under future scenarios. These models will provide the basis for subsequent zoo, field and simulation research.
Zoo-focussed methods We will assess the attraction value of species to zoo visitors using several approaches. We will record visitor durations at exhibits in relation to species traits, their visibility and behaviour. This will combine the use of cameras to monitor the species and data collection by the student and volunteers/self-certification (we aim to develop a citizen science approach). We will also use people counters to monitor visitor traffic through exhibits. The resultant data will be used with species trait data to understand the drivers of attraction. We have already collated relevant traits data for most birds and mammals globally.
We will extract data from a global database of species in zoos, which we will compare to species that are currently threatened with extinction, or likely to be threatened in future. Such data will also permit an exploration of the typical species assemblages maintained at individual zoos (e.g. proportions of different taxa, easy/difficult to maintain species, functional types, attractive species, species of conservation concern). Armed with this knowledge, we will assess for the first time, the extent to which the world's zoological collections are not protecting species threatened with future changes. We will use complementarity approaches (Margules & Pressey 2000) to simulate collections of species across the world's zoos that would maximise the objectives of public recreation and education and ex situ conservation.
Field-based methods To complement the research above, the student will also spend time at two wildlife tourism hotspots in Africa (Kruger NP, SA & potentially Nairobi NP, KE), during which time they will record visitor stops at wildlife, and relate these to species and their behaviour, traits etc., in a similar manner to the zoo analyses. Such data on visitor preferences could be combined with travel and spend information to simulate future changes to visitors and therefore income streams from wildlife tourism globally.

Publications

10 25 50

Studentship Projects

Project Reference Relationship Related To Start End Student Name
NE/S007431/1 30/09/2019 29/09/2028
2401771 Studentship NE/S007431/1 30/09/2020 31/03/2024 Tom Smart