Habitat Distribution and Heterogeneity in Marine Invasion Dynamics: the Importance of Hard Substrate and Artificial Structure

2009 ◽  
pp. 321-332 ◽  
Author(s):  
Gregory M. Ruiz ◽  
Amy L. Freestone ◽  
Paul W. Fofonoff ◽  
Christina Simkanin
Keyword(s):  
Hard Substrate ◽  
Habitat Distribution ◽  
Invasion Dynamics ◽  
Marine Invasion ◽  
Artificial Structure

Stronger biotic resistance in tropics relative to temperate zone: effects of predation on marine invasion dynamics

Ecology ◽  
2013 ◽  
Vol 94 (6) ◽  
pp. 1370-1377 ◽  
Author(s):  
Amy L. Freestone ◽  
Gregory M. Ruiz ◽  
Mark E. Torchin
Keyword(s):  
Biotic Resistance ◽  
Temperate Zone ◽  
Invasion Dynamics ◽  
Marine Invasion

scholarly journals Using Spatial Validity and Uncertainty Metrics to Determine the Relative Suitability of Alternative Suites of Oceanographic Data for Seabed Biotope Prediction. A Case Study from the Barents Sea, Norway

Geosciences ◽  
2021 ◽  
Vol 11 (2) ◽  
pp. 48
Author(s):  
Margaret F.J. Dolan ◽  
Rebecca E. Ross ◽  
Jon Albretsen ◽  
Jofrid Skarðhamar ◽  
Genoveva Gonzalez-Mirelis ◽  
...  
Keyword(s):  
Barents Sea ◽  
Predictor Variable ◽  
Environmental Data ◽  
Spatial Uncertainty ◽  
Benthic Habitat ◽  
Habitat Distribution ◽  
Distribution Models ◽  
Entire Study ◽  
Oceanographic Data ◽  
Uncertainty Analyses

The use of habitat distribution models (HDMs) has become common in benthic habitat mapping for combining limited seabed observations with full-coverage environmental data to produce classified maps showing predicted habitat distribution for an entire study area. However, relatively few HDMs include oceanographic predictors, or present spatial validity or uncertainty analyses to support the classified predictions. Without reference studies it can be challenging to assess which type of oceanographic model data should be used, or developed, for this purpose. In this study, we compare biotope maps built using predictor variable suites from three different oceanographic models with differing levels of detail on near-bottom conditions. These results are compared with a baseline model without oceanographic predictors. We use associated spatial validity and uncertainty analyses to assess which oceanographic data may be best suited to biotope mapping. Our results show how spatial validity and uncertainty metrics capture differences between HDM outputs which are otherwise not apparent from standard non-spatial accuracy assessments or the classified maps themselves. We conclude that biotope HDMs incorporating high-resolution, preferably bottom-optimised, oceanography data can best minimise spatial uncertainty and maximise spatial validity. Furthermore, our results suggest that incorporating coarser oceanographic data may lead to more uncertainty than omitting such data.

Mixed focused-acoustic-vortices generated by an artificial structure plate engraved with discrete rectangular holes

2021 ◽  
Vol 118 (4) ◽  
pp. 043503
Author(s):  
Xin-Rui Li ◽  
Yu-Rou Jia ◽  
Yan-Chun Luo ◽  
Jie Yao ◽  
Da-Jian Wu
Keyword(s):  
Artificial Structure ◽  
Structure Plate

Lake morphometry determines Dreissena invasion dynamics

2021 ◽  
Author(s):  
Alexander Y. Karatayev ◽  
Vadim A. Karatayev ◽  
Lyubov E. Burlakova ◽  
Knut Mehler ◽  
Mark D. Rowe ◽  
...  
Keyword(s):  
Lake Morphometry ◽  
Invasion Dynamics

A global genetic analysis of herbarium specimens reveals the invasion dynamics of an introduced plant pathogen

2021 ◽  
Author(s):  
Michael Bradshaw ◽  
Uwe Braun ◽  
Marianne Elliott ◽  
Julia Kruse ◽  
Shu-Yan Liu ◽  
...  
Keyword(s):  
Genetic Analysis ◽  
Plant Pathogen ◽  
Herbarium Specimens ◽  
Invasion Dynamics

scholarly journals Research biases create overrepresented “poster children” of marine invasion ecology

2021 ◽  
Author(s):  
Hannah V. Watkins ◽  
Helen F. Yan ◽  
Jillian C. Dunic ◽  
Isabelle M. Côté
Keyword(s):  
Invasion Ecology ◽  
Marine Invasion
Sign in / Sign up

Export Citation Format

Share Document