Predicting global habitat suitability for stony corals on seamounts-Reference-Cited by-同舟云学术

Predicting global habitat suitability for stony corals on seamounts

Published:2009-06 Issue:6 Volume:36 Page:1111-1128
ISSN:0305-0270
Container-title:Journal of Biogeography
language:en
Short-container-title:

Author:

Tittensor Derek P.,Baco Amy R.,Brewin Paul E.,Clark Malcolm R.,Consalvey Mireille,Hall-Spencer Jason,Rowden Ashley A.,Schlacher Thomas,Stocks Karen I.,Rogers Alex D.

Publisher

Wiley

Subject

Ecology,Ecology, Evolution, Behavior and Systematics

Link

http://onlinelibrary.wiley.com/wol1/doi/10.1111/j.1365-2699.2008.02062.x/fullpdf

Reference110 articles.

1. Dark calcification and the daily rhythm of calcification in the scleractinian coral, Galaxea fascicularis;Al-Horani;Coral Reefs,2007

2. Investigations of age and growth for three deep-sea corals from the Davidson Seamount off central California

3. Five (or so) challenges for species distribution modelling;Araújo;Journal of Biogeography,2006

4. An earth-gridded SSM/I data set for cryospheric studies and global change monitoring;Armstrong;Advances in Space Research,1995

Cited by 250 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Real world data for real world problems: Importance of appropriate spatial resolution modelling to inform decision makers in marine management;Ecological Modelling;2024-12

2. High‐Resolution Ensemble Modelling of Coral Distributions in the Northern Gulf of Mexico Based on Geomorphometry: Coral Diversity and Benthic Habitat Fragmentation From Oil and Gas Infrastructure to Inform Spatial Planning;Aquatic Conservation: Marine and Freshwater Ecosystems;2024-09

3. Using spatial distribution modeling of commercial species to inform management of small‐scale fisheries in a Mediterranean marine protected area;Ecology and Evolution;2024-09

4. Multidisciplinary characterisation of the biodiversity, geomorphology, oceanography and glacial history of Bowditch Seamount in the Sargasso Sea;Deep Sea Research Part I: Oceanographic Research Papers;2024-08

5. Mapping Seafloor Sediment Distributions Using Public Geospatial Data and Machine Learning to Support Regional Offshore Renewable Energy Development;Geosciences;2024-07-11