Modeling benthic solar exposure (UV and visible) in dynamic coastal systems to better inform seagrass habitat suitability

2021 ◽  
pp. 151481
Author(s):  
Olivia Cronin-Golomb ◽  
Joshua P. Harringmeyer ◽  
Matthew W. Weiser ◽  
Xiaohui Zhu ◽  
Nilotpal Ghosh ◽  
...  
Keyword(s):  
Habitat Suitability ◽  
Seagrass Habitat ◽  
Solar Exposure ◽  
Coastal Systems

scholarly journals Seagrass habitat suitability model for Redang Marine Park using multibeam echosounder data: Testing different spatial resolutions and analysis window sizes

PLoS ONE ◽  
2021 ◽  
Vol 16 (9) ◽  
pp. e0257761
Author(s):  
Muhammad Abdul Hakim Muhamad ◽  
Rozaimi Che Hasan ◽  
Najhan Md Said ◽  
Jillian Lean-Sim Ooi
Keyword(s):  
Spatial Resolution ◽  
Habitat Suitability ◽  
Prediction Models ◽  
Seagrass Habitat ◽  
Multibeam Echosounder ◽  
Marine Park ◽  
Marine Habitats ◽  
Fringing Reefs ◽  
Analysis Window ◽  
Resolution Dataset

Integrating Multibeam Echosounder (MBES) data (bathymetry and backscatter) and underwater video technology allows scientists to study marine habitats. However, use of such data in modeling suitable seagrass habitats in Malaysian coastal waters is still limited. This study tested multiple spatial resolutions (1 and 50 m) and analysis window sizes (3 × 3, 9 × 9, and 21 × 21 cells) probably suitable for seagrass-habitat relationships in Redang Marine Park, Terengganu, Malaysia. A maximum entropy algorithm was applied, using 12 bathymetric and backscatter predictors to develop a total of 6 seagrass habitat suitability models. The results indicated that both fine and coarse spatial resolution datasets could produce models with high accuracy (>90%). However, the models derived from the coarser resolution dataset displayed inconsistent habitat suitability maps for different analysis window sizes. In contrast, habitat models derived from the fine resolution dataset exhibited similar habitat distribution patterns for three different analysis window sizes. Bathymetry was found to be the most influential predictor in all the models. The backscatter predictors, such as angular range analysis inversion parameters (characterization and grain size), gray-level co-occurrence texture predictors, and backscatter intensity levels, were more important for coarse resolution models. Areas of highest habitat suitability for seagrass were predicted to be in shallower (<20 m) waters and scattered between fringing reefs (east to south). Some fragmented, highly suitable habitats were also identified in the shallower (<20 m) areas in the northwest of the prediction models and scattered between fringing reefs. This study highlighted the importance of investigating the suitable spatial resolution and analysis window size of predictors from MBES for modeling suitable seagrass habitats. The findings provide important insight on the use of remote acoustic sonar data to study and map seagrass distribution in Malaysia coastal water.

scholarly journals SEAGRASS HABITAT SUITABILITY MAP AT MERAMBONG SHOAL, JOHOR: A PRELIMINARY STUDY USING MULTIBEAM ECHOSOUNDER AND MAXENT MODELLING

2019 ◽  
Vol XLII-4/W16 ◽  
pp. 463-470
Author(s):  
M. A. H. Muhamad ◽  
R. Che Hasan
Keyword(s):  
High Resolution ◽  
Habitat Suitability ◽  
Species Distribution Modelling ◽  
Seagrass Habitat ◽  
Habitat Suitability Model ◽  
Survey Area ◽  
Multibeam Echosounder ◽  
Suitability Map ◽  
Habitat Suitability Map ◽  
Northwest Region

Abstract. In recent years, there has been an increasing interest to use high-resolution multibeam dataset and Species Distribution Modelling (SDM) for seagrass habitat suitability model. This requires a specific variable derived from multibeam data and in-situ seagrass occurrence samples. The purpose of this study was (1) to derive variables from multibeam bathymetry data to be used in seagrass habitat suitability model, (2) to produce seagrass habitat suitability model using Maximum Entropy (MaxEnt), and (3) to quantify the contribution of each variable for predicting seagrass habitat suitability map. The study area was located at Merambong Shoal, covering an area of 0.04 km2, situated along Johor Strait. First, twelve (12) variables were derived from bathymetry data collected from multibeam echosounder using Benthic Terrain Modeller (BTM) tool. Secondly, all variables and seagrass occurrence samples were integrated in MaxEnt to produce seagrass habitat suitability map. The results showed that the Area Under Curve (AUC) values based on training and test data were 0.88 and 0.65, respectively. The northwest region of survey area indicated higher habitat suitability of seagrass, while the southeast region of survey area indicated lower suitability. Bathymetry mean found to be the most contributed variables among others. The spatial distribution of seagrass from modelling technique agreed with the previous studies and they are found to be distributed at depths ranging from 2.2 to 3.4 meters whilst less suitable with increasing of water depth. This study concludes that seagrass habitat suitability map with high-resolution pixel size (0.5 meter) can be produced at Merambong Shoal using acoustic data from multibeam echosounder coupled with MaxEnt and underwater video observations.

Predicting bycatch hotspots based on suitable habitat derived from fishery-independent data

2020 ◽  
Vol 641 ◽  
pp. 159-175
Author(s):  
J Runnebaum ◽  
KR Tanaka ◽  
L Guan ◽  
J Cao ◽  
L O’Brien ◽  
...  
Keyword(s):  
Habitat Suitability ◽  
Mixed Model ◽  
Linear Mixed Model ◽  
Gulf Of Maine ◽  
Homarus Americanus ◽  
Management Tool ◽  
American Lobster ◽  
Suitable Habitat ◽  
Climate Conditions ◽  
Suitability Index

Bycatch remains a global problem in managing sustainable fisheries. A critical aspect of management is understanding the timing and spatial extent of bycatch. Fisheries management often relies on observed bycatch data, which are not always available due to a lack of reporting or observer coverage. Alternatively, analyzing the overlap in suitable habitat for the target and non-target species can provide a spatial management tool to understand where bycatch interactions are likely to occur. Potential bycatch hotspots based on suitable habitat were predicted for cusk Brosme brosme incidentally caught in the Gulf of Maine American lobster Homarus americanus fishery. Data from multiple fisheries-independent surveys were combined in a delta-generalized linear mixed model to generate spatially explicit density estimates for use in an independent habitat suitability index. The habitat suitability indices for American lobster and cusk were then compared to predict potential bycatch hotspot locations. Suitable habitat for American lobster has increased between 1980 and 2013 while suitable habitat for cusk decreased throughout most of the Gulf of Maine, except for Georges Basin and the Great South Channel. The proportion of overlap in suitable habitat varied interannually but decreased slightly in the spring and remained relatively stable in the fall over the time series. As Gulf of Maine temperatures continue to increase, the interactions between American lobster and cusk are predicted to decline as cusk habitat continues to constrict. This framework can contribute to fisheries managers’ understanding of changes in habitat overlap as climate conditions continue to change and alter where bycatch interactions could occur.

The Development of Habitat Suitability Index Model of Class I Endangered Wildlife, Sedirea japonica - A Case Study of Korea National Park of Dadohaehaesang -

2020 ◽  
Vol 32 (1) ◽  
pp. 153-172
Author(s):  
Yun-Jin Shim ◽  
Yong-Su Park ◽  
Rae-Ha Jang ◽  
Young-Jun Yoon ◽  
Sun- Ryoung Kim ◽  
...  
Keyword(s):  
Habitat Suitability ◽  
National Park ◽  
Class I ◽  
Habitat Suitability Index ◽  
Index Model ◽  
Suitability Index

Landscape-level habitat suitability models for twelve species in southern Missouri

2003 ◽  
Author(s):  
Michael A. Larson ◽  
William D. Dijak ◽  
Frank R. III Thompson ◽  
Joshua J. Millspaugh
Keyword(s):  
Habitat Suitability ◽  
Habitat Suitability Models ◽  
Landscape Level

Kestabilan Habitat Lamun Ditinjau Dari Komposisi dan Kepadatan Jenis

2012 ◽  
Vol 8 (1) ◽  
Author(s):  
Paskalina Th. Lefaan
Keyword(s):  
Line Transect ◽  
Seagrass Habitat ◽  
Pioneer Species ◽  
Thalassia Hemprichii ◽  
Climax Species ◽  
Halophila Ovalis ◽  
Cymodocea Rotundata ◽  
Syringodium Isoetifolium ◽  
Cymodocea Serrulata ◽  
Stable Habitat

<em>Seagrasses habitats have both physical and ecological functions that support adjacent waters qualities and its dwelling organisms. There are varies of pressure on seagrass environmental, especially due to people activities that could decrease its function and habitat stabilities. The study aimed to determine about seagrass habitat stabilities from its species composition and/or densities. Line transect-plots and exploration methods were used in five locations of Manokwari coastal waters, that were, Andai, Rendani, Wosi, Briosi, and Tanjung Manggewa. There are five pioneer species (Cymodocea rotundata, Halodule pinifolia, H. uninervis, Syringodium isoetifolium, Halophila ovalis) and 3 climax species (Cymodocea serrulata, Enhalus acoroides, Thalassia hemprichii). The pioneer only found in Andai and Wosi, however both pioneer and climax encountered in three other locations. In Rendani and Tanjung Manggewa higher density of climax species (T. hemprichii) were 617.7 and 828.0 stands m-2, respectively, although in Briosi the higher pioneer (C. rotundata) of 570.7 stands m-2. These conditions showed that seagrass habitat in Rendani and Tanjung Manggewa are more stable compared to Briosi, as well as Andai and Wosi. It concluded that pioneer species found in newly formed habitat or disturbed, on the other hand, climax in more stable habitat.</em>

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