eBangor

Increasing ecological realism in conservation network design: a case study in Belize and an evaluation of global satellite telemetry for connectivity research

Hofman, Maarten P.G. (2017) Increasing ecological realism in conservation network design: a case study in Belize and an evaluation of global satellite telemetry for connectivity research. PhD thesis, Prifysgol Bangor University.

[img] Text
Signed Declaration Hofman.pdf
Restricted to Repository staff only

Download (114kB)
[img]
Preview
Text
Hofman PhD 2017.pdf

Download (40MB) | Preview

Abstract

Human-caused habitat loss and fragmentation disrupt contiguous natural areas, leading to low population sizes and isolation of populations. To avoid increased risk of extinction, conservation networks are created: clusters of connected protected areas, largely based on expert-opinion. In landscape ecology, models are used to increase ecological realism in network design in order to avoid misguided management actions. However, increasing the ecological complexity requires detailed ecological data. In this dissertation, I investigate the challenges and opportunities encountered applying such models for conservation network design. With remote-sensing and species detection data, I modelled potential connectivity for white-lipped peccaries Tayassu pecari in Belize. This species is an endangered forest ungulate that requires large forest areas and has a short dispersal range. The model identifed alternative corridor routes and areas that were particularly important for connectivity conservation. Satellite tracking of an individual in southern Belize showed that animal activity, and presumably forest cover and terrain ruggedness hampered data collection. Nevertheless, results showed an average home-range size and slow movement rates compared to other estimates, and confrmed the species' preference for forested habitats. A global evaluation of satellite telemetry in wildlife research, including over 3,000 telemetry units, provided insight into the relative in uence of the environment, topography, species, and unit characteristics on unit performance. Fix acquisition and data transfer rates were high, but close to half of the deployments failed prematurely, and half of these due to technical malfunction. Species and unit characteristics predicted unit performance better than environmental factors. Conservation network design based on moderately data-demanding models seems to be an achievable objective. However, modelling with high levels of ecological detail is still challenged by technological shortcomings. Ultimately, efective conservation network design depends on the continued collaboration between the modelling, empirical, and applied domains of connectivity conservation.

Item Type: Thesis (PhD)
Subjects: Degree Thesis
Departments: College of Natural Sciences > School of Environment, Natural Resources and Geography
Degree Thesis
Date Deposited: 13 Nov 2017 13:43
Last Modified: 13 Nov 2017 13:43
URI: http://e.bangor.ac.uk/id/eprint/10273
Administer Item Administer Item

eBangor is powered by EPrints 3 which is developed by the School of Electronics and Computer Science at the University of Southampton. More information and software credits.