Tag Archives: science

PhD project opportunity: Can ecosystems recover under a changing wildfire regimes?

Posted on September 12, 2022 by Aaron Greenville

We are now in an era of rapid global environmental change, which is coupled with increases in extreme disturbance events, such as wildfires. The age of mega-fires has begun, with unprecedented burn extents and fire severity already occurring in Europe, … Continue reading →

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Ecosystem Dynamics lab: Honours Opportunities 2022

Posted on September 22, 2021 by Aaron Greenville

Here at the Ecosystem Dynamics lab we are offering the following Honours projects: DigiFarm: incorporating biodiversity into farming decisions (with the Sydney Institute of Agriculture) We aim to develop a digitally enabled network which will monitor native flora and fauna … Continue reading →

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ABC Catalyst: The Wildlife Revolution

Posted on September 22, 2021 by Aaron Greenville

Last month our some of our research was featured on ABC Catalyst! The episode was about using emerging technology to highlight the importance of wildlife and being used to conserve it. Our project DigiFarm that is using technology to survey … Continue reading →

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New paper: Simultaneously operating threats cannot predict extinction risk

Posted on September 16, 2020 by Aaron Greenville

Journal: Conservation Letters Abstract: Species afflicted by multiple threats are thought to face greater extinction risk. However, it is not known whether multiple threats operate antagonistically, additively, or synergistically, or whether they vary across different taxonomic and spatial scales. We … Continue reading →

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New paper! Class Conflict: Diffuse Competition between Mammalian and Reptilian Predators

Posted on September 16, 2020 by Aaron Greenville

Journal: Diversity Abstract: (1) Diffuse competition affects per capita rates of population increase among species that exploit similar resources, and thus can be an important structuring force in ecological communities. Diffuse competition has traditionally been studied within taxonomically similar groups, … Continue reading →

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New paper: Impact of 2019–2020 mega-fires on Australian fauna habitat

Posted on July 24, 2020 by Aaron Greenville

Journal: Nature Ecology & Evolution Abstract: Australia’s 2019–2020 mega-fires were exacerbated by drought, anthropogenic climate change and existing land-use management. Here, using a combination of remotely sensed data and species distribution models, we found these fires burnt ~97,000 km2 of … Continue reading →

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New paper: Ecological forecasts to inform near‐term management of threats to biodiversity

Posted on July 20, 2020 by Aaron Greenville

Published in: Global Change Biology Abstract: Ecosystems are being altered by rapid and interacting changes in natural processes and anthropogenic threats to biodiversity. Uncertainty in historical, current and future  effectiveness of actions hampers decisions about how to mitigate changes to … Continue reading →

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New paper! Persistence through tough times: fixed and shifting refuges in threatened species conservation

Posted on March 27, 2019 by Aaron Greenville

Published in: Biodiversity and Conservation Abstract: It may be possible to avert threatened species declines by protecting refuges that promote species persistence during times of stress. To do this, we need to know where refuges are located, and when and … Continue reading →

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New paper! Understanding selective predation: are energy and nutrients important?

Posted on August 13, 2018 by Aaron Greenville

Authors: Tamara I. Potter, Hayley J. Stannard, Aaron C. Greenville and Chris R. Dickman. Published in: Plos One. Abstract: For generalist predators, a mixed diet can be advantageous as it allows individuals to exploit a potentially broad range of profitable … Continue reading →

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New Paper! Making the most of incomplete long-term datasets: the MARSS solution

Posted on July 4, 2018 by Aaron Greenville

Authors: Aaron C. Greenville, Vuong Nguyen, Glenda M. Wardle and Chris R. Dickman Published in: Australian Zoologist Abstract: Long-term field-based monitoring is essential to develop a deep understanding of how ecosystems function and to identify species at risk of decline. … Continue reading →

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