Network


Latest external collaboration on country level. Dive into details by clicking on the dots.

Hotspot


Dive into the research topics where Collin Storlie is active.

Publication


Featured researches published by Collin Storlie.


Ecology | 2010

Distributions, life‐history specialization, and phylogeny of the rain forest vertebrates in the Australian Wet Tropics

Stephen E. Williams; Jeremy VanDerWal; Joanne L. Isaac; Luke P. Shoo; Collin Storlie; S. Fox; E. E. Bolitho; Craig Moritz; Yvette M. Williams

The purpose of this data set was to compile distributional, general life-history characteristics and phylogenies for Australian tropical rain forest vertebrates to inform a wide range of comparative studies on the determinants of biodiversity patterns and to assess the impacts of global climate change. We provide three distinct data sets: (1) a table of species-specific distributional and life-history traits for 242 vertebrate species found in the rain forests of the Australian Wet Tropics; (2) species distribution maps (GIS raster files) for 202 of the species displaying both the realized and potential distributions; and (3) phylogenies for these species. These species represent 93 birds, 31 amphibians, 31 mammals (including one monotreme), and 47 reptiles. Where information exists, the distributional and life-history data compiled here present information on: indices of environmental specialization (ENFA), habitat specialization, average body mass and size, sexual dimorphism, reproductive characteristics such as age at first reproduction, clutch/litter size, number of reproductive bouts per year and breeding seasonality, longevity, time of day when most active, and dispersal ability; distributional characteristics such as range size (potential and realized for both total and core ranges) and observed ranges in temperature, precipitation, and elevation; and niche attributes such as environmental marginality and specialization. The distribution maps provided represent a combination of presence-only ecological niche modeling (using MaxEnt) to estimate the potential distribution of a species followed by biogeographic clipping by expert opinion based on extensive field data and a subregional classification relevant to the topography and biogeographic history of the region to produce best-possible estimates of the realized distribution. Our assemblage contains many species with a shared evolutionary history, and thus many analyses of these data will need to account for phylogeny. Although a comprehensive phylogeny with branch length information does not exist for this diverse group of species, we present a best-estimate composite phylogeny constructed primarily from recently published molecular phylogenies of included groups.


International Journal of Biometeorology | 2010

Potential for mountaintop boulder fields to buffer species against extreme heat stress under climate change.

Luke P. Shoo; Collin Storlie; Yvette M. Williams; Stephen E. Williams

Species may circumvent or minimize some impacts resulting from climate change by utilizing microhabitats that buffer against extreme events (e.g., heat waves). Boulder field habitats are considered to have functioned as important refugia for rainforest fauna during historical climate fluctuations. However, quantitative data on microhabitat buffering potential in these habitats is lacking. We characterized temperature buffering over small distances (i.e., depths) within an exposed and forested boulder field on a tropical mountain. We demonstrate that temperatures are cooler and become more stable at increasing depths within boulder fields. The magnitude of difference is most pronounced in exposed situations where temperatures within boulder fields can be as much as 10°C lower than near surface conditions. Our data provide a first step toward building models that more realistically predict exposure to heat stress for fauna that utilize rocky habitats.


PLOS ONE | 2013

Current Analogues of Future Climate Indicate the Likely Response of a Sensitive Montane Tropical Avifauna to a Warming World

Alexander Sibthorpe Anderson; Collin Storlie; Luke P. Shoo; Richard G. Pearson; Stephen E. Williams

Among birds, tropical montane species are likely to be among the most vulnerable to climate change, yet little is known about how climate drives their distributions, nor how to predict their likely responses to temperature increases. Correlative models of species’ environmental niches have been widely used to predict changes in distribution, but direct tests of the relationship between key variables, such as temperature, and species’ actual distributions are few. In the absence of historical data with which to compare observations and detect shifts, space-for-time substitutions, where warmer locations are used as analogues of future conditions, offer an opportunity to test for species’ responses to climate. We collected density data for rainforest birds across elevational gradients in northern and southern subregions within the Australian Wet Tropics (AWT). Using environmental optima calculated from elevational density profiles, we detected a significant elevational difference between the two regions in ten of 26 species. More species showed a positive (19 spp.) than negative (7 spp.) displacement, with a median difference of ∼80.6 m across the species analysed that is concordant with that expected due to latitudinal temperature differences (∼75.5 m). Models of temperature gradients derived from broad-scale climate surfaces showed comparable performance to those based on in-situ measurements, suggesting the former is sufficient for modeling impacts. These findings not only confirm temperature as an important factor driving elevational distributions of these species, but also suggest species will shift upslope to track their preferred environmental conditions. Our approach uses optima calculated from elevational density profiles, offering a data-efficient alternative to distribution limits for gauging climate constraints, and is sensitive enough to detect distribution shifts in this avifauna in response to temperature changes of as little as 0.4 degrees. We foresee important applications in the urgent task of detecting and monitoring impacts of climate change on montane tropical biodiversity.


Ecology | 2010

Distributions, life-history specialization, and phylogeny of the rain forest vertebrates in the Australian Wet Tropics: Ecological ArchivesE091-181

Stephen E. Williams; Jeremy VanDerWal; Joanne L. Isaac; Luke P. Shoo; Collin Storlie; S. Fox; E. E. Bolitho; Craig Moritz; Yvette M. Williams

The purpose of this data set was to compile distributional, general life-history characteristics and phylogenies for Australian tropical rain forest vertebrates to inform a wide range of comparative studies on the determinants of biodiversity patterns and to assess the impacts of global climate change. We provide three distinct data sets: (1) a table of species-specific distributional and life-history traits for 242 vertebrate species found in the rain forests of the Australian Wet Tropics; (2) species distribution maps (GIS raster files) for 202 of the species displaying both the realized and potential distributions; and (3) phylogenies for these species. These species represent 93 birds, 31 amphibians, 31 mammals (including one monotreme), and 47 reptiles. Where information exists, the distributional and life-history data compiled here present information on: indices of environmental specialization (ENFA), habitat specialization, average body mass and size, sexual dimorphism, reproductive characteristics such as age at first reproduction, clutch/litter size, number of reproductive bouts per year and breeding seasonality, longevity, time of day when most active, and dispersal ability; distributional characteristics such as range size (potential and realized for both total and core ranges) and observed ranges in temperature, precipitation, and elevation; and niche attributes such as environmental marginality and specialization. The distribution maps provided represent a combination of presence-only ecological niche modeling (using MaxEnt) to estimate the potential distribution of a species followed by biogeographic clipping by expert opinion based on extensive field data and a subregional classification relevant to the topography and biogeographic history of the region to produce best-possible estimates of the realized distribution. Our assemblage contains many species with a shared evolutionary history, and thus many analyses of these data will need to account for phylogeny. Although a comprehensive phylogeny with branch length information does not exist for this diverse group of species, we present a best-estimate composite phylogeny constructed primarily from recently published molecular phylogenies of included groups.


Global Change Biology | 2011

Targeted protection and restoration to conserve tropical biodiversity in a warming world

Luke P. Shoo; Collin Storlie; Jeremy VanDerWal; Jeremy Little; Stephen E. Williams


Biology Letters | 2014

Stepping inside the niche: microclimate data are critical for accurate assessment of species' vulnerability to climate change

Collin Storlie; Andres Merino-Viteri; Ben L. Phillips; Jeremy VanDerWal; Justin A. Welbergen; Stephen E. Williams


Diversity and Distributions | 2013

Improved spatial estimates of climate predict patchier species distributions

Collin Storlie; Ben L. Phillips; Jeremy VanDerWal; Stephen E. Williams


Austral Ecology | 2012

Regional patterns and controls of leaf decomposition in Australian tropical rainforests

Scott A. Parsons; Robert A. Congdon; Collin Storlie; Luke P. Shoo; Stephen E. Williams


Global Ecology and Biogeography | 2017

Vertical (arboreality) and horizontal (dispersal) movement increase the resilience of vertebrates to climatic instability

Brett R. Scheffers; Luke P. Shoo; Ben L. Phillips; Stewart L. Macdonald; Alexander Sibthorpe Anderson; Jeremy VanDerWal; Collin Storlie; Arnaud Gourret; Stephen E. Williams


Biological Conservation | 2018

Research advances and gaps in marine planning: towards a global database in systematic conservation planning

Jorge G. Álvarez-Romero; Morena Mills; Vanessa M. Adams; Georgina G. Gurney; Robert L. Pressey; Rebecca Weeks; Natalie C. Ban; Jessica Cheok; Tammy E. Davies; Jon Day; Mélanie A. Hamel; Heather M. Leslie; Rafael A. Magris; Collin Storlie

Collaboration


Dive into the Collin Storlie's collaboration.

Top Co-Authors

Avatar
Top Co-Authors

Avatar
Top Co-Authors

Avatar

Luke P. Shoo

University of Queensland

View shared research outputs
Top Co-Authors

Avatar
Top Co-Authors

Avatar
Top Co-Authors

Avatar
Top Co-Authors

Avatar

Craig Moritz

Australian National University

View shared research outputs
Top Co-Authors

Avatar
Top Co-Authors

Avatar
Top Co-Authors

Avatar
Researchain Logo
Decentralizing Knowledge