Data from: Combined mechanistic modelling predicts changes in species distribution and increased co-occurrence of a tropical urchin herbivore and a habitat-forming temperate kelp
Creators
- 1. University of New South Wales
- 2. Southern Cross University
- 3. CSIRO Ocean and Atmosphere
Description
This dataset aims to identify climate change impacts on spawning and settlement of a tropical herbivore, the sea-urchin, Tripneustes gratilla, along eastern Australia and into the Tasman Sea including Lord Howe Island. The dataset contains the trajectories of particles that represent T. gratilla larvae and their dispersal by ocean currents for each day of both a contemporary (2006-2015) and future 'business as usual' RCP 8.5 climate change scenario (2090-2100). T. gratilla larval dispersal under both climate scenarios is simulated using the Connectivity Modelling System (CMS). Particles are advected in CMS by 3D velocity fields produced with a state-of-the-art configuration of the Ocean Forecasting Model version 3 (OFAM3) that simulates the contemporary oceanic environment and projects it under an RCP8.5 climate change scenario. Spawning and settlement of particles within CMS are based on known biological traits of T. gratilla.
Notes
Each yearly Matlab trajectory file contains the following information:
dep - the daily depth recorded for each particle released during its trajectory.
distance - how far the particle has travelled (km) since it's release during its trajectory
exitcode - the CMS exit code allocated to each particle at the end of it's trajectory. Exit codes are explained in the CMS manual. https://github.com/beatrixparis/connectivity-modeling-system/blob/master/User-Guide-v2.pdf
ind_nan - the length of the particle's trajectory
lat - the daily latitude recorded for each particle during its trajectory
location - the number of each particle released
lon - the daily longitude recorded for each particle during its trajectory
p_dt_ref - release date for each particle recorded as a Matlab number
release_date - release date for each particle recorded as a Gregorian number
temp - the daily temperature recorded for each particle during its trajectory
The above variables are either recorded as a one-dimensional array or two-dimensional matrix. The one-dimensional array's length = number of partices released in a year. The two-dimensional matrix includes both the number of particles released in a year and the number of days the particle travelled.
Funding provided by: Australian Research Council
Crossref Funder Registry ID: http://dx.doi.org/10.13039/501100000923
Award Number: LP 150100064
Funding provided by: Australian Research Council
Crossref Funder Registry ID: http://dx.doi.org/10.13039/501100000923
Award Number: LP16100162
Funding provided by: Australian Research Council
Crossref Funder Registry ID: http://dx.doi.org/10.13039/501100000923
Award Number: DP170100023
Funding provided by: Australian Research Council
Crossref Funder Registry ID: http://dx.doi.org/10.13039/501100000923
Award Number: DP190102030
Funding provided by: NSW Environmental Trust
Crossref Funder Registry ID: http://dx.doi.org/10.13039/501100001195
Award Number:
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