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Biology subjects

Bekessy, S.

Publications and source records attributed to Bekessy, S..

2 recordsLinked to original sources

Optimal investments in private land conservation depend more on landholder preferences than climate change

Effective private land conservation strategies that consider both landholder preferences and future climatic conditions are critical for preserving biodiversity and ecosystem services. Yet, the interaction and relative importance of these factors for conservation planning performance is unknown. Here, we assess the importance of considering landholder preferences and climate change for prioritising locations for conservation tenders to recruit landholders for conservation covenants. To achieve this we develop a planning framework that accounts for the tender process to optimise investment across regions and apply it to koala-focused tenders in New South Wales (NSW), Australia, exploring four planning approaches that consider or are ignorant to landholder preferences and the tender process and/or climate change. We find that optimal investments depend more on landholder preferences than climate change, and when landholder preferences are ignored, there is little benefit in accounting for climate change. Our analysis reveals new insights into this important interaction.

ecology↗

Urban ecological connectivity as a planning tool for different animal species.

The application of ecological theory to urban planning is becoming more important as land managers focus on increasing urban biodiversity as a way to improve human welfare. City authorities must decide not only what types of biodiversity-focused infrastructure should be prioritized, but also where new resources should be positioned and existing resources protected or enhanced. Careful spatial planning can contribute to the successful return and conservation of urban nature by maximizing the contribution of green infrastructure to landscape connectivity. By using ecological connectivity theory as a planning tool, governments can quantify the effect of different interventions on the ease with which wildlife can move across the landscape. Here we outline an approach to a) quantify ecological connectivity for different urban wildlife species and b) use this to test different urban planning scenarios using QGIS. We demonstrate four extensions to the work by Deslaurier et al. (2018) and Spanowicz & Jaeger (2019) which improve the application of this method as a planning tool for local government: O_LIA step-by-step method for calculating effective mesh size using the open-source software QGIS. C_LIO_LIConversion of the effective mesh size value (meff) to a "probability of connectedness" (Pc, for easier interpretation by local government and comparisons between planning scenarios). C_LIO_LIGuidance for measuring species-specific connectivity, including how to decide what spatial information should be included and which types of species might be most responsive to connectivity planning. C_LIO_LIAdvice for using the method to measure the outcome of different urban planning scenarios on ecological connectivity. C_LI

ecology↗