Michael Drielsma
Office of Environment and Heritage
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Publication
Featured researches published by Michael Drielsma.
Conservation Biology | 2013
Pia E. Lentini; Philip Gibbons; Josie Carwardine; Joern Fischer; Michael Drielsma; Tara G. Martin
Although the concept of connectivity is decades old, it remains poorly understood and defined, and some argue that habitat quality and area should take precedence in conservation planning instead. However, fragmented landscapes are often characterized by linear features that are inherently connected, such as streams and hedgerows. For these, both representation and connectivity targets may be met with little effect on the cost, area, or quality of the reserve network. We assessed how connectivity approaches affect planning outcomes for linear habitat networks by using the stock-route network of Australia as a case study. With the objective of representing vegetation communities across the network at a minimal cost, we ran scenarios with a range of representation targets (10%, 30%, 50%, and 70%) and used 3 approaches to account for connectivity (boundary length modifier, Euclidean distance, and landscape-value [LV]). We found that decisions regarding the target and connectivity approach used affected the spatial allocation of reserve systems. At targets ≥50%, networks designed with the Euclidean distance and LV approaches consisted of a greater number of small reserves. Hence, by maximizing both representation and connectivity, these networks compromised on larger contiguous areas. However, targets this high are rarely used in real-world conservation planning. Approaches for incorporating connectivity into the planning of linear reserve networks that account for both the spatial arrangement of reserves and the characteristics of the intervening matrix highlight important sections that link the landscape and that may otherwise be overlooked.
Environmental Management | 2016
Subhashni Taylor; Michael Drielsma; Robert Taylor; Lalit Kumar
In many regions species are declining due to fragmentation and loss of habitat. If species persistence is to be achieved, ecologically informed, effective conservation action is required. Yet it remains a challenge to identify optimal places in a landscape to direct habitat reconstruction and management. Rather than relying on individual landscape metrics, process-based regional scale assessment methodology is needed that focuses primarily on species persistence. This means integrating, according to species’ ecology, habitat extent, suitability, quality and spatial configuration. The rapid evaluation of metapopulation persistence (REMP) methodology has been developed for this purpose. However, till now no practical conservation planning application of REMP has been described. By integration of expert ecological knowledge, we extended REMP’s capabilities to prioritize conservation action for a highly modified agricultural region of central NSW, Australia based on the metapopulation ecology of 34 fauna species. The region’s current capacity to support the species was evaluated in relation to the pre-European state for which there was known viability. Six of the species were found to currently have insufficient habitat to support viable populations. Seeking locations to maximize overall improvement in viability for these species, we prioritized conservation action to locations near the threshold of metapopulation persistence.
Landscape Ecology | 2017
Else Foster; Jamie Love; Romina Rader; Nick Reid; Michael Drielsma
ContextA challenge devising revegetation strategies in fragmented landscapes is conserving for the widest spectrum of biodiversity. Habitat network reconstruction should improve landscape capacity to maintain species populations. However, the location of revegetation often fails to account for species occurrence and dispersal processes operating across spatial scales.ObjectivesOur objective was to integrate metapopulation theory with estimates of landscape capacity and dispersal pathways to highlight connectivity gaps. Maintenance of populations could thereby be facilitated through reconnecting habitat networks across regional and broader scales, with assumed benefit for the dispersal needs of less sensitive species.MethodsPredicted occupancy and metapopulation capacity were calculated for a generic focal species derived from fragmentation-sensitive woodland birds, mammals and reptiles. A metapopulation connectivity analysis predicted regional dispersal links to identify likely routes through which individuals may move to contribute to the viability of the population. We used the revegetation programmes of the Brigalow–Nandewar Biolinks project, eastern New South Wales, Australia, to demonstrate our approach.ResultsLandscape capacity of the current landscape varied across the region. Low-value links between populations provided greatest opportunities for revegetation and improved landscape capacity. Where regional connectivity did not indicate a pathway between populations, broader scale connectivity provided guidance for revegetation.ConclusionsThe metapopulation-based model, coupled with a habitat dispersal network analysis, provided a platform to inform revegetation locations and better support biodiversity. Our approach has application for directing on-ground action to support viable populations, assess the impact of revegetation schemes or monitor the progress of staged implementations.
Diversity and Distributions | 2010
Simon Ferrier; Michael Drielsma
Ecological Modelling | 2007
Michael Drielsma; Glenn Manion; Simon Ferrier
Freshwater Biology | 2011
Eren Turak; Simon Ferrier; Tom W. Barrett; Edwina Mesley; Michael Drielsma; Glenn Manion; Gavin Doyle; Janet Stein; Geoff Gordon
Ecological Modelling | 2007
Michael Drielsma; Simon Ferrier; Glenn Manion
Biological Conservation | 2009
Michael Drielsma; Simon Ferrier
Ecological Management and Restoration | 2006
Michael Drielsma; Simon Ferrier
Ecological Economics | 2012
Kristen J. Williams; Andrew Reeson; Michael Drielsma; Jamie Love
Collaboration
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Commonwealth Scientific and Industrial Research Organisation
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View shared research outputsCommonwealth Scientific and Industrial Research Organisation
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