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Improved methods for predicting species' distributions under environmental change

Title
Improved methods for predicting species' distributions under environmental change
Funding
ARC | Future Fellowships
Contract (GA) number
FT0991640
Start Date
2009/01/01
End Date
2013/12/31
Open Access mandate
no
Organizations
-
More information
http://purl.org/au-research/grants/arc/FT0991640

 

  • Building essential biodiversity variables (EBVs) of species distribution and abundance at a global scale

    Kissling, W. Daniel; Ahumada, Jorge A.; Bowser, Anne; Fernandez, Miguel; Fernández, Néstor; García, Enrique Alonso; Guralnick, Robert P.; Isaac, Nick J.B.; Kelling, Steve; Los, Wouter; Mcrae, Louise; Mihoub, Jean Baptiste; Obst, Matthias; Santamaria, Monica; Skidmore, Andrew K.;...
    Projects: ARC | Improved methods for predicting species' distributions under environmental change (FT0991640)
    Much biodiversity data is collected worldwide, but it remains challenging to assemble the scattered knowledge for assessing biodiversity status and trends. The concept of Essential Biodiversity Variables (EBVs) was introduced to structure biodiversity monitoring globally, and to harmonize and standardize biodiversity data from disparate sources to capture a minimum set of critical variables required to study, report and manage biodiversity change. Here, we assess the challenges of a ‘Big Data...

    Biocrust morphogroups provide an effective and rapid assessment tool for drylands

    Read, Cassia F; Duncan, David H; Vesk, Peter A; Elith, Jane; Wan, Shiqiang (2014)
    Projects: ARC | Improved methods for predicting species' distributions under environmental change (FT0991640)
    Biological soil crusts (biocrusts) occur across most of the world's drylands and are sensitive indicators of dryland degradation. Accounting for shifts in biocrust composition is important for quantifying integrity of arid and semi-arid ecosystems, but the best methods for assessing biocrusts are uncertain. We investigate the utility of surveying biocrust morphogroups, a reduced set of biotic classes, compared to species data, for detecting shifts in biocrust composition and making inference ...
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