Full description
Biophysical models simulate dispersal and connectivity in marine environments by combining numerical models that represent water circulation with biological parameters that define the attributes of species. The effects of parameters on model outputs, such as the number of particles released to simulate the trajectories of individual organisms, is potentially large but is rarely tested. In this study, we develop a framework to measure the optimal number of particles required to capture variability in dispersal and connectivity of the marine plants, seagrasses.
The study location was Torres Strait. Spatial (geographic information system [GIS]) layers of seagrass distribution in Torres Strait were sourced from Carter et al. (2014, 2016). These layers were supplemented with information on the potential distribution of seagrass in the unmapped area between Badu and Boigu Islands derived from a model of dugong distribution and relative abundance (Marsh et al. 2015).
The biophysical model data were generated with the SLIM model. Analyses were conducted in Python3 (version 3.6.5) and Gephi 0.9.2. Seagrass shapefile, model run files, raw outputs, model output analysis files, and analysis results are provided - see associated readme.txt
Carter, A.B., Taylor, H.A. & Rasheed, M.A. (2014) Torres Strait mapping: Seagrass consolidation 2002 – 2014. Centre for Tropical Water & Aquatic Ecosystem Research (TropWATER) report no. 14/55. James Cook University, Cairns. 47pp.
Carter, A.B. & Rasheed, M.A. (2016) Assessment of key dugong and turtle seagrass resources in north-west Torres Strait. Report to the National Environmental Science Programme (NESP) and Torres Strait Regional Authority. Reef and Rainforest Research Centre Limited, Cairns. 41pp.
Marsh, H., Grayson, J., Grech, A., Hagihara, R., Sobtzick, S. (2015) Re-evaluation of the sustainability of a marine mammal harvest by indigenous people using several lines of evidence. Biological Conservation. 192: 324 – 330.
Created: 2021-07-22
text: Torres Strait
User Contributed Tags
Login to tag this record with meaningful keywords to make it easier to discover
- DOI : 10.25903/1VJE-6C38
- Local : researchdata.jcu.edu.au//published/076f8761e5ef7a74bacf0f9868480526