Dataset

Monthly distributions of Gouldian Finch (Erythrura gouldiae) in Northern Australia

James Cook University
Jeremy James VanDerWal (Aggregated by)
Viewed: [[ro.stat.viewed]] Cited: [[ro.stat.cited]] Accessed: [[ro.stat.accessed]]
ctx_ver=Z39.88-2004&rft_val_fmt=info%3Aofi%2Ffmt%3Akev%3Amtx%3Adc&rfr_id=info%3Asid%2FANDS&rft_id=https://research.jcu.edu.au/researchdata/published/detail/8a37d7d34217a877947f6b88252d0582&rft.title=Monthly distributions of Gouldian Finch (Erythrura gouldiae) in Northern Australia&rft.identifier=jcu.edu.au/tdh/collection/d5813bb0-3a71-4f27-805e-a5c14d6eb2ec&rft.publisher=James Cook University&rft.description=Over 14 million occurrence records of 950+ Australian bird species were collated across the period 1950 to 2011 from personal, public and institutional databases. Only species with >20 unique spatiotemporal records were used for modelling. Daily precipitation and temperature minima and maxima from 1950 until 2011 at a 0.05° grid scale were accessed from the Australian Water Availability Project (AWAP -- http://www.bom.gov.au/jsp/awap/) (Jones et al 2007, Grant et al 2008). From this, we calculated annual mean temperature, temperature seasonality, max and min monthly temperature, annual precipitation, precipitation seasonality, and precipitation of the wettest and driest quarters at time lags of three, six, nine and twelve months previous to each month that a bird was recorded within the period 1950 to 2011. However, initial models and work reported in Reside et al (2010), we only used the 12 month time lag. Species distribution models were run using the presence-only modelling program Maxent (Phillips et al 2006). Maxent uses species presence records to statistically relate species occurrence to environmental variables on the principle of maximum entropy. The model weather data consisted of each unique combination of month, year, latitude and longitude of each bird sighting, and the corresponding weather for each relevant time period. All default settings were used except for background point allocation. We used a target group background (Phillips & Dudik 2008) to remove any spatial or temporal sampling bias in the modelling exercise. REFERENCES Jones DA, Wang W, Fawcett R (2007) Climate Data for the Australian Water Availability Project: Final Milestone Report. National Climate Centre, Australian Bureau of Meteorology. Grant I, Jones D, Wang W, Fawcett R, Barratt D (2008) Meteorological and remotely sensed datasets for hydrological modelling: a contribution to the Australian Water Availability Project. Reside A, VanDerWal J, Kutt AS, & Perkins G. (2010) Weather, not climate, defines distributions of vagile species. PlosOne 5(10):e13569. doi:10.1371/journal.pone.0013569 Phillips SJ, Anderson RP, Schapire RE (2006) Maximum entropy modeling of species geographic distributions. Ecological Modelling 190: 231–259. Phillips SJ, Dudik M (2008) Modeling of species distributions with Maxent: new extensions and a comprehensive evaluation. Ecography 31: 161–175.This is the monthly distributions of Gouldian Finch (Erythrura gouldiae) in Australia. The monthly times time steps were created using the methods defined in Reside et al (2010).&rft.creator=Jeremy James VanDerWal&rft.date=2011&rft.coverage=111.975,-10.025 156.275,-10.025 156.09921875,-27.6021372172 112.50234375,-27.9132431161 111.975,-10.025&rft_subject=species distribution&rft_subject=erythrura gouldiae&rft_subject=gouldian finch&rft_subject=Ecological Impacts of Climate Change&rft_subject=ENVIRONMENTAL SCIENCES&rft_subject=ECOLOGICAL APPLICATIONS&rft.type=dataset&rft.language=English Access the data

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Contact Information

jeremy.vanderwal@jcu.edu.au

Brief description

This is the monthly distributions of Gouldian Finch (Erythrura gouldiae) in Australia. The monthly times time steps were created using the methods defined in Reside et al (2010).

Full description

Over 14 million occurrence records of 950+ Australian bird species were collated across the period 1950 to 2011 from personal, public and institutional databases. Only species with >20 unique spatiotemporal records were used for modelling. Daily precipitation and temperature minima and maxima from 1950 until 2011 at a 0.05° grid scale were accessed from the Australian Water Availability Project (AWAP -- http://www.bom.gov.au/jsp/awap/) (Jones et al 2007, Grant et al 2008). From this, we calculated annual mean temperature, temperature seasonality, max and min monthly temperature, annual precipitation, precipitation seasonality, and precipitation of the wettest and driest quarters at time lags of three, six, nine and twelve months previous to each month that a bird was recorded within the period 1950 to 2011. However, initial models and work reported in Reside et al (2010), we only used the 12 month time lag. Species distribution models were run using the presence-only modelling program Maxent (Phillips et al 2006). Maxent uses species presence records to statistically relate species occurrence to environmental variables on the principle of maximum entropy. The model weather data consisted of each unique combination of month, year, latitude and longitude of each bird sighting, and the corresponding weather for each relevant time period. All default settings were used except for background point allocation. We used a target group background (Phillips & Dudik 2008) to remove any spatial or temporal sampling bias in the modelling exercise. REFERENCES Jones DA, Wang W, Fawcett R (2007) Climate Data for the Australian Water Availability Project: Final Milestone Report. National Climate Centre, Australian Bureau of Meteorology. Grant I, Jones D, Wang W, Fawcett R, Barratt D (2008) Meteorological and remotely sensed datasets for hydrological modelling: a contribution to the Australian Water Availability Project. Reside A, VanDerWal J, Kutt AS, & Perkins G. (2010) Weather, not climate, defines distributions of vagile species. PlosOne 5(10):e13569. doi:10.1371/journal.pone.0013569 Phillips SJ, Anderson RP, Schapire RE (2006) Maximum entropy modeling of species geographic distributions. Ecological Modelling 190: 231–259. Phillips SJ, Dudik M (2008) Modeling of species distributions with Maxent: new extensions and a comprehensive evaluation. Ecography 31: 161–175.

Created: 03 10 2011

Data time period: 31 12 1949 to 30 12 2011

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111.975,-10.025 156.275,-10.025 156.09921875,-27.6021372172 112.50234375,-27.9132431161 111.975,-10.025

134.125,-18.96912155805

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Identifiers
  • Local : jcu.edu.au/tdh/collection/d5813bb0-3a71-4f27-805e-a5c14d6eb2ec