Match!
Shawn W. Laffan
University of New South Wales
123Publications
26H-index
2,729Citations
Publications 123
Newest
Abstract Globally, local governments are increasing investment in urban greening projects. However, there is little consideration of whether the species being planted will be resilient to climate change. We assessed the distribution of climatically suitable habitat, now and in the future, for 176 tree species native to Australia, commonly planted across Australia's Significant Urban Areas (SUAs) and currently grown by commercial nurseries. Species' occurrence records were obtained from inventori...
#1Camilo López-Aguirre (UNSW: University of New South Wales)H-Index: 2
#2Suzanne J. Hand (UNSW: University of New South Wales)H-Index: 24
Last.Michael Archer (UNSW: University of New South Wales)H-Index: 35
view all 4 authors...
#1Daniel J. Murphy (Royal Botanic Gardens)H-Index: 19
#2Malte C. Ebach (UNSW: University of New South Wales)H-Index: 21
Last.Melinda L. Tursky (UNSW: University of New South Wales)H-Index: 6
view all 9 authors...
#1James J. Shelley (University of Melbourne)H-Index: 1
#2Tim Dempster (University of Melbourne)H-Index: 28
Last.Stephen E. Swearer (University of Melbourne)H-Index: 25
view all 6 authors...
#2Pablo Luis Peri (CONICET: National Scientific and Technical Research Council)H-Index: 23
Last.Brian R. Zutta (Japanese Ministry of the Environment)H-Index: 9
view all 18 authors...
Soils hold the largest pool of organic carbon (C) on Earth; yet, soil organic carbon (SOC) reservoirs are not well represented in climate change mitigation strategies because our database for ecosystems where human impacts are minimal is still fragmentary. Here, we provide a tool for generating a global baseline of SOC stocks. We used partial least square (PLS) regression and available geographic datasets that describe SOC, climate, organisms, relief, parent material and time. The accuracy of th...
#1Yi Lu (UNSW: University of New South Wales)
#2Shawn W. Laffan (UNSW: University of New South Wales)H-Index: 26
Last.Min Cao (Nanjing Normal University)
view all 4 authors...
The loss of accuracy in vector-raster conversion has always been an issue for land use change models, particularly for raster based Cellular Automata models. Here we describe a vector-based cellular automata (CA) model that uses land parcels as the basic unit of analysis, and compare its results with a raster CA model. Transition rules are calibrated using an artificial neural network (ANN) and historical land use data. Using Ipswich City in Queensland, Australia as the study area, the simulatio...
#1Julie M. Allen (UNR: University of Nevada, Reno)H-Index: 1
#2Charlotte C. Germain-Aubrey (Florida Museum of Natural History)H-Index: 7
Last.Hannah L. Owens (Florida Museum of Natural History)H-Index: 5
view all 14 authors...
Summary Recent availability of biodiversity data resources has enabled an unprecedented ability to estimate phylogenetically based biodiversity metrics over broad scales. Such approaches elucidate ecological and evolutionary processes yielding a biota and help guide conservation efforts. However, the choice of appropriate phylogenetic resources and underlying input data uncertainties may affect interpretation. Here, we address how differences among phylogenetic source trees and levels of phyloge...
#1Camilo López-Aguirre (UNSW: University of New South Wales)H-Index: 2
#2Suzanne J. Hand (UNSW: University of New South Wales)H-Index: 24
Last.Michael Archer (UNSW: University of New South Wales)H-Index: 35
view all 4 authors...
New World bats represent over one third of global bat species and encompass the widest adaptive radiation among bats. Modern bat diversity in the Americas resulted from a mixture of migrations and colonisations of different taxa throughout the Cenozoic. Traditionally, these taxa are conceived as either South or North American, based on the location of their centres of diversification. To better understand the spatial and temporal processes behind modern biogeographic patterns of New World bat fa...
#1Hugh M. Burley (UNSW: University of New South Wales)H-Index: 4
#2Karel Mokany (CSIRO: Commonwealth Scientific and Industrial Research Organisation)H-Index: 15
Last.Simon Ferrier (CSIRO: Commonwealth Scientific and Industrial Research Organisation)H-Index: 38
view all 9 authors...
12345678910