Document of bibliographic reference 300725

BibliographicReference record

Type
Bibliographic resource
Type of document
Journal article
BibLvlCode
AS
Title
A modelled global distribution of the seagrass biome
Abstract
Seagrasses form one of the most ecologically important and productive three-dimensional habitats in coastal seas. Knowing the global distribution of seagrass meadows is essential for conservation and blue carbon estimates. Here, we modelled the global distribution of seagrass using 43,037 occurrence records and 13 environmental variables within the modelling software MaxEnt at 30 arc sec resolution (c. 1 km at the equator). We found that sea surface temperature and distance from land contributed most in predicting seagrass distribution globally. Comparison of summing models for individual species, genera, and families found that a model combining all species occurrence records best fitted the known geographic distribution. In addition, this model fills geographic gaps in previous maps. We predicted the seagrass biome may occupy 1,646,788 km2, more than double previous global estimates. Applications for this dataset include blue carbon estimates, spatial planning such as for designing Marine Protected Areas, environmental sensitivity mapping, and monitoring of change in biome cover.
WebOfScience code
https://www.webofscience.com/wos/woscc/full-record/WOS:000445992900014
Bibliographic citation
Jayathilake, D.R.M.; Costello, M.J. (2018). A modelled global distribution of the seagrass biome. Biol. Conserv. 226: 120-126. https://dx.doi.org/10.1016/j.biocon.2018.07.009
Is peer reviewed
true

Authors

author
Name
Dinusha Jayathilake
author
Name
Mark Costello
Identifier
https://orcid.org/0000-0003-2362-0328

Links

referenced creativework
type
DOI
accessURL
https://dx.doi.org/10.1016/j.biocon.2018.07.009

Document metadata

date created
2018-09-04
date modified
2018-09-04