scholarly journals Remote sensing of three‐dimensional coral reef structure enhances predictive modeling of fish assemblages

2019 ◽  
Vol 5 (2) ◽  
pp. 150-159 ◽  
Author(s):  
Lisa M. Wedding ◽  
Stacy Jorgensen ◽  
Christopher A. Lepczyk ◽  
Alan M. Friedlander
Keyword(s):  
Remote Sensing ◽  
Coral Reef ◽  
Predictive Modeling ◽  
Fish Assemblages ◽  
Three Dimensional ◽  
Reef Structure

scholarly journals Fish Assemblage Structure in the Northwestern Hawaiian Islands Is Associated with the Architectural Complexity of Coral-Reef Habitats

Diversity ◽  
2020 ◽  
Vol 12 (11) ◽  
pp. 430
Author(s):  
Atsuko Fukunaga ◽  
Randall K. Kosaki ◽  
Kailey H. Pascoe ◽  
John H. R. Burns
Keyword(s):  
Coral Reef ◽  
Fish Assemblage ◽  
Fish Assemblages ◽  
Hawaiian Islands ◽  
Three Dimensional ◽  
Assemblage Structure ◽  
Fish Assemblage Structure ◽  
Northwestern Hawaiian Islands ◽  
Total Fish ◽  
Curtis Dissimilarity

The architectural complexity of coral-reef habitat plays an important role in determining the assemblage structure of reef fish. We investigated associations between the reef habitats and fish assemblages in the Northwestern Hawaiian Islands (NWHI) using in situ fish counts and data on habitat metrics and benthic community composition that were obtained from three-dimensional (3D) photogrammetric reconstructions of the surveyed sites. The structure of fish assemblage as a whole on the basis of Bray–Curtis dissimilarity, species richness and the abundances of herbivores and piscivores were associated with habitat metrics, with higher levels of architectural complexity generally supporting greater numbers of fish species and individuals. Benthic cover did not explain additional variation in these variables after the effects of habitat metrics were taken into account. Corallivorous fish was the only group that showed positive associations with both habitat metrics and benthic cover (Acropora and Pocillopora corals). The total fish abundance and the abundances of planktivores and invertivores did not show associations with either habitat metrics or benthic cover. This study suggests that an appropriate combination of habitat metrics can be used to account sufficiently for the effects of habitat architecture on fish assemblages in reef monitoring efforts in the NWHI.

Coral reef remote sensing applications

1986 ◽  
Vol 1 (4) ◽  
pp. 3-15 ◽  
Author(s):  
Deborah A. Kuchler ◽  
David L.B. Jupp ◽  
Daniel B. van R. Claasen ◽  
William Bour
Keyword(s):  
Remote Sensing ◽  
Coral Reef ◽  
Sensing Applications ◽  
Remote Sensing Applications

scholarly journals Mathematical models for information classification and recognition of multi-target optical remote sensing images

Open Physics ◽  
2020 ◽  
Vol 18 (1) ◽  
pp. 951-960
Author(s):  
Haiqing Zhang ◽  
Jun Han
Keyword(s):  
Remote Sensing ◽  
Recognition Rate ◽  
Three Dimensional ◽  
Remote Sensing Image ◽  
Optical Remote Sensing ◽  
Specific Class ◽  
Three Dimensional Model ◽  
Image Information ◽  
Information Classification ◽  
Optical Remote Sensing Image

Abstract Traditionally, three-dimensional model is used to classify and recognize multi-target optical remote sensing image information, which can only identify a specific class of targets, and has certain limitations. A mathematical model of multi-target optical remote sensing image information classification and recognition is designed, and a local adaptive threshold segmentation algorithm is used to segment multi-target optical remote sensing image to reduce the gray level between images and improve the accuracy of feature extraction. Remote sensing image information is multi-feature, and multi-target optical remote sensing image information is identified by chaotic time series analysis method. The experimental results show that the proposed model can effectively classify and recognize multi-target optical remote sensing image information. The average recognition rate is more than 95%, the maximum robustness is 0.45, the recognition speed is 98%, and the maximum time-consuming average is only 14.30 s. It has high recognition rate, robustness, and recognition efficiency.

STABILITY OF CORAL REEF FISH ASSEMBLAGES IMPACTED BY NUCLEAR TESTS

Ecology ◽  
2005 ◽  
Vol 86 (10) ◽  
pp. 2578-2585 ◽  
Author(s):  
S. Planes ◽  
R. Galzin ◽  
J-P. Bablet ◽  
P. F. Sale
Keyword(s):  
Coral Reef ◽  
Reef Fish ◽  
Coral Reef Fish ◽  
Fish Assemblages ◽  
Nuclear Tests

scholarly journals Habitats as Surrogates of Taxonomic and Functional Fish Assemblages in Coral Reef Ecosystems: A Critical Analysis of Factors Driving Effectiveness

PLoS ONE ◽  
2012 ◽  
Vol 7 (7) ◽  
pp. e40997 ◽  
Author(s):  
Simon Van Wynsberge ◽  
Serge Andréfouët ◽  
Mélanie A. Hamel ◽  
Michel Kulbicki
Keyword(s):  
Coral Reef ◽  
Critical Analysis ◽  
Fish Assemblages ◽  
Coral Reef Ecosystems

scholarly journals Dredging fundamentally reshapes the ecological significance of 3D terrain features for fish in estuarine seascapes

2022 ◽  
Author(s):  
Hayden P. Borland ◽  
Ben L. Gilby ◽  
Christopher J. Henderson ◽  
Rod M. Connolly ◽  
Bob Gorissen ◽  
...  
Keyword(s):  
Fish Assemblages ◽  
Three Dimensional ◽  
Ecological Impacts ◽  
Fish Diversity ◽  
Urban Landscapes ◽  
Ecological Significance ◽  
Landscape Modification ◽  
Eastern Australia ◽  
Coastal Landscapes ◽  
Terrain Features

Abstract Context Landscape modification alters the condition of ecosystems and the structure of terrain, with widespread impacts on biodiversity and ecosystem functioning. Seafloor dredging impacts a diversity of flora and fauna in many coastal landscapes, and these processes also transform three-dimensional terrain features. The potential ecological significance of these terrain changes in urban seascapes has, however, not been investigated. Objectives We examined the effects of terrain variation on fish assemblages in 29 estuaries in eastern Australia, and tested whether dredging changes how fish associate with terrain features. Methods We surveyed fish assemblages with baited remote underwater video stations and quantified terrain variation with nine complementary metrics (e.g. depth, aspect, curvature, slope, roughness), extracted from bathymetry maps created with multi-beam sonar. Results Fish diversity and abundance were strongly linked to seafloor terrain in both natural and dredged estuaries, and were highest in shallow waters and near features with high curvature. Dredging, however, significantly altered the terrain of dredged estuaries and transformed the significance of terrain features for fish assemblages. Abundance and diversity switched from being correlated with lower roughness and steeper slopes in natural estuaries to being linked to features with higher roughness and gentler slopes in dredged estuaries. Conclusions Contrasting fish-terrain relationships highlight previously unrecognised ecological impacts of dredging, but indicate that plasticity in terrain use might be characteristic of assemblages in urban landscapes. Incorporating terrain features into spatial conservation planning might help to improve management outcomes, but we suggest that different approaches would be needed in natural and modified landscapes.

scholarly journals Reconstructing High-Precision Coral Reef Geomorphology from Active Remote Sensing Datasets: A Robust Spatial Variability Modified Ordinary Kriging Method

2022 ◽  
Vol 14 (2) ◽  
pp. 253
Author(s):  
Qi Wang ◽  
Han Xiao ◽  
Wenzhou Wu ◽  
Fenzhen Su ◽  
Xiuling Zuo ◽  
...  
Keyword(s):  
Remote Sensing ◽  
Coral Reef ◽  
Coral Reefs ◽  
Spatial Variability ◽  
High Precision ◽  
Ordinary Kriging ◽  
Surface Model ◽  
Smoothing Effect ◽  
Geomorphological Parameters ◽  
Reef Geomorphology

Active remote sensing technology represented by multi-beam and lidar provides an important approach for the effective acquisition of underwater coral reef geomorphological information. A spatially continuous surface model of coral reef geomorphology reconstructed from active remote sensing datasets can provide important geomorphological parameters for the research of coral reef geomorphological and ecological changes. However, the surface modeling methods commonly used in previous studies, such as ordinary kriging (OK) and natural neighborhood (NN), often represent a “smoothing effect”, which causes the strong spatial variability of coral reefs to be imprecisely reflected by the reconstructed surfaces, thus affecting the accurate calculation of subsequent geomorphological parameters. In this study, a spatial variability modified OK (OK-SVM) method is proposed to reduce the impact of the “smoothing effect” on the high-precision reconstruction of the complex geomorphology of coral reefs. The OK-SVM adopts a collaborative strategy of global parameter transformation, local residual correction, and extremum correction to modify the spatial variability of the reconstructed model, while maintaining high local accuracy. The experimental results show that the OK-SVM has strong robustness to spatial variability modification. This method was applied to the geomorphological reconstruction of the northern area of a coral atoll in the Nansha Islands, South China Sea, and the performance was compared with that of OK and NN. The results show that OK-SVM has higher numerical accuracy and attribute accuracy in detailed morphological fidelity, and is more adaptable in the geomorphological reconstruction of coral reefs with strong spatial variability. This method is relatively reliable for achieving high-precision reconstruction of complex geomorphology of coral reefs from active remote sensing datasets, and has potential to be extended to other geomorphological reconstruction applications.

scholarly journals Site and depth influence on coral reef structure and composition in Seribu Islands, Jakarta

2017 ◽  
Vol 2 (1) ◽  
pp. 28-38 ◽  
Author(s):  
Karizma Fahlevy ◽  
Siti Khodijah ◽  
Idham A. Nasrullah ◽  
Ridha Fathihatunnisa ◽  
Beginer Subhan ◽  
...  
Keyword(s):  
Coral Reef ◽  
Reef Structure
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