Throughout the last two decades, biodiversity has been increasingly acknowledged as a valuable asset. However there are numerous challenges to managing the asset. Firstly, there is no universally accepted measure of biodiversity per se. As a consequence, rather than measuring the intrinsic value of biodiversity the focus has typically shifted to valuing biodiversity services. Secondly, biodiversity issues should not be considered in a vacuum, but rather alongside general natural resource management problems. Conservation agencies and regulators alike would greatly benefit from more transparent biodiversity targets for conservation policies and natural resource management. This thesis makes a number of contributions to meet these challenges including measuring biodiversity, modelling diverse ecosystems and considering biodiversity outcomes in the management of an environmental resource. To value biodiversity, it is essential to measure it. Focusing on pairwise genetic dissimilarities at the species level, this thesis develops two models for measuring biodiversity. An axiomatic diagnosis of the existing and new measures is presented. This comparison suggests that the adequate biodiversity measure depends on the context. The diversity measures describe the biodiversity catalogue available at a given point in time. Modelling biodiversity is important for forecasting the impact of conservation decisions and understanding the future value of biodiversity. The importance of each species, however, depends on its role in the ecosystem as well as its genetic diversity. The interactions between species are therefore investigated and described, using a new model built around CES production functions. Three existing models based on predator-prey equations are extended to the multi-species case. These interaction models provide the necessary link for biodiversity maintenance over time. The four models are compared using simulations and an axiomatic approach. This approach shows that the new model performs well, offers the flexibility required to describe different types of ecosystems and is less data intensive. Finally, a case study of natural resource exploitation is presented, illustrating the idea that biodiversity loss can have direct economic implications in natural resource management. The model shows the impact of market structures on the extraction path of the resource and the distribution of the resource rent.
| Identifer | oai:union.ndltd.org:ADTP/187190 |
| Date | January 2006 |
| Creators | Gerber, Nicolas, Economics, Australian School of Business, UNSW |
| Publisher | Awarded by:University of New South Wales. School of Economics |
| Source Sets | Australiasian Digital Theses Program |
| Language | English |
| Detected Language | English |
| Rights | Copyright Nicolas Gerber, http://unsworks.unsw.edu.au/copyright |
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