5 Works

Data from: Managing seagrass resilience under cumulative dredging affecting light: predicting risk using dynamic Bayesian networks

Paul Pao-Yen Wu, Kathryn McMahon, Michael A. Rasheed, Gary A. Kendrick, Paul H. York, Kathryn Chartrand, M. Julian Caley & Kerrie Mengersen
Coastal development is contributing to ongoing declines of ecosystems globally. Consequently, understanding the risks posed to these systems, and how they respond to successive disturbances, is paramount for their improved management. We study the cumulative impacts of maintenance dredging on seagrass ecosystems as a canonical example. Maintenance dredging causes disturbances lasting weeks to months, often repeated at yearly intervals. We present a risk-based modelling framework for time varying complex systems centred around a dynamic Bayesian...

Data from: Mammalian herbivores affect leafhoppers associated with specific plant functional types at different timescales

Martijn L. Vandegehuchte, Valeria Trivellone, Martin Sch├╝tz, Jennifer Firn, Frederic De Schaetzen & Anita C. Risch
1. Theory predicts that mammalian herbivores affect the quantity and quality of plants on which they preferentially feed in the short term. In the longer term, they can promote either preferred or less preferred plants, depending on whether preferred plants are adapted or sensitive to grazing. Less clear are the short- and long-term responses of herbivorous insects to mammalian herbivory, and how these responses depend on the specific plants or plant functional types on which...

Data from: Integrating local knowledge and research to refine the management of an invasive non-native grass in critically endangered grassy woodlands

Jennifer Firn, Emma Ladouceur & Josh Dorrough
1. Globally the prevalence and impact of invasive non-native plant species is increasing rapidly. Experimentally-based research aimed at supporting management is limited in its ability to keep up with this pace, partly because of the importance of understanding historical abiotic and biotic conditions. Contrastingly, landholders are in unique positions to witness species turnover in grasslands, adapt management practices in response, and learn from successes and failures. 2. This local knowledge could be crucial for identifying...

Data from: Development and field validation of a regional, management-scale habitat model: a koala Phascolarctos cinereus case study

Bradley Law, Gabriele Caccamo, Paul Roe, Anthony Truskinger, Traecey Brassil, Leroy Gonsalves, Anna McConville & Matthew Stanton
Species distribution models have great potential to efficiently guide management for threatened species, especially for those that are rare or cryptic. We used MaxEnt to develop a regional-scale model for the koala Phascolarctos cinereus at a resolution (250 m) that could be used to guide management. To ensure the model was fit for purpose, we placed emphasis on validating the model using independently-collected field data. We reduced substantial spatial clustering of records in coastal urban...

Data from: Sharing is caring? measurement error and the issues arising from combining 3D morphometric datasets

Carmelo Fruciano, Melina A. Celik, Kaylene Butler, Tom Dooley, Vera Weisbecker & Matthew J. Phillips
Geometric morphometrics is routinely used in ecology and evolution and morphometric datasets are increasingly shared among researchers, allowing for more comprehensive studies and higher statistical power (as a consequence of increased sample size). However, sharing of morphometric data opens up the question of how much nonbiologically relevant variation (i.e., measurement error) is introduced in the resulting datasets and how this variation affects analyses. We perform a set of analyses based on an empirical 3D geometric...

Registration Year

  • 2017

Resource Types

  • Dataset


  • Queensland University of Technology
  • NSW Office of Environment & Heritage
  • Ghent University
  • University of Queensland
  • University of Pavia
  • Institute of Environmental Engineering
  • University of Western Australia
  • Swiss Federal Institute for Forest, Snow and Landscape Research
  • James Cook University
  • Edith Cowan University