scispace - formally typeset
Search or ask a question

Showing papers by "Stephen E. Williams published in 2007"


Journal ArticleDOI
TL;DR: Using ecological and social factors in addition to threat categories, a decision-support process is designed to assist policy makers in their allocation of resources for the management of native wildlife and to clarify the considerations leading to a priority listing.
Abstract: Allocating money for species conservation on the basis of threatened species listings is not the most cost-effective way of promoting recovery or minimizing extinction rates. Using ecological and social factors in addition to threat categories, we designed a decision-support process to assist policy makers in their allocation of resources for the management of native wildlife and to clarify the considerations leading to a priority listing. Each species is scored on three criteria at the scale of the relevant jurisdiction: (1) threat category, (2) consequences of extinction, and (3) potential for successful recovery. This approach provides opportunity for independent input by policy makers and other stakeholders (who weight the relative importance of the criteria) and scientists (who score the species against the criteria). Thus the process explicitly separates societal values from the technical aspects of the decision-making process while acknowledging the legitimacy of both inputs. We applied our technique to two Australian case studies at different spatial scales: the frogs of Queensland (1,728,000 square km; 116 species) and the mammals of the Wet Tropics bioregion (18,500 km2; 96 species). We identified 7 frog and 10 mammal species as priorities for conservation. The frogs included 1 of the 9 species classified as endangered under Queensland legislation, 3 of the 10 species classified as vulnerable, 2 of the 22 species classified as rare, and 1 of the 75 species classified as least concern. The mammals identified included 3 of the 6 species classified as endangered, 1 of the 4 species classified as vulnerable, 5 of the 11 species classified as rare, and 1 of the 75 species classified as least concern. The methods we used to identify species were robust to comparisons across the two taxonomic groups. We concluded that (1) our process facilitates comparisons of data required to make transparent, cost-effective, and strategic management decisions across taxonomic groups and (2) the process should be used to short-list species for further discussion rather than for allocating resources per se.

96 citations


Journal ArticleDOI
TL;DR: In this paper, the authors investigated the distribution and abundance patterns of Dipteran suborder Schizophora along an altitudinal transect in the Carbine Uplands of the WTWHA using Malaise traps.
Abstract: The Australian Wet Tropics World Heritage Area (WTWHA) contains a number of highland vertebrates predicted to face extinction due to a warming climate, but little is known about risks to invertebrates, which are vital to ecosystem health. This study investigates the distribution and abundance patterns of the Dipteran sub-order Schizophora along an altitudinal transect in the Carbine Uplands of the WTWHA using Malaise traps. The season of peak abundance changed with altitude, with highland abundance peaking in October, and lowland abundance peaking in April. There was a high level of species turnover with altitude, and some evidence for distinct low-, mid-, and high-elevation assemblages, with the high-elevation assemblage containing the most restricted species. We would expect this high-elevation assemblage to be at risk of local extinction with 2–3° of warming, and the mid-elevation assemblage to be at risk with 4–5° warming. Future work should continue sampling to confirm patterns presented here and to monitor range shifts with climate change. A highland species - Helosciomyza ferruginea Hendel is suggested as a good indicator species for such monitoring.

40 citations


Book ChapterDOI
01 Jan 2007
TL;DR: The authors predicts that climate change will likely reduce worldwide biodiversity through negative effects on already extinction-prone species, such as endemics and those at the top of the food chain, which will likely result in a more homogeneous fauna and flora worldwide which is dominated by generalist taxa, which are able to adapt to the changing climate conditions.
Abstract: CLIMATE CHANGE is predicted to result in a worldwide loss of biodiversity, with extinctions becoming increasingly common in the future. The climate is changing at an ever more rapid rate, impacting on individuals and populations, through to community interactions and ecosystem function. Climate change will likely reduce worldwide biodiversity through negative effects on already extinction-prone species, such as endemics and those at the top of the food chain. This will likely result in a more homogeneous fauna and flora worldwide which is dominated by generalist taxa, which are able to adapt to the changing climatic conditions.

8 citations