Dataset: Habitat scale model output of Port Fourchon, LA dervied from drone and satellite imagery taken in fall and spring 2023.

This dataset has not been validatedData not availableVersion 1 (2025-01-08)Dataset Type:model results

Principal Investigator: James Nelson (University of Louisiana at Lafayette)

Student, Contact: Herbert Leavitt (University of Louisiana at Lafayette)

Student: Alexander Thomas (University of Louisiana at Lafayette)

BCO-DMO Data Manager: Karen Soenen (Woods Hole Oceanographic Institution)


Project: CAREER: Integrating Seascapes and Energy Flow: learning and teaching about energy, biodiversity, and ecosystem function on the frontlines of climate change (Louisiana E-scapes)


Abstract

This dataset and code form part of a broader analysis aimed at evaluating the relationship between habitat structure and species abundance across multiple spatial scales in a rapidly changing estuarine environment near Port Fourchon, Louisiana. Specifically, the code implements a Generalized Additive Modeling (GAM) approach to identify the optimal spatial scale at which habitat features—derived from satellite imagery—best explain the abundance of common estuarine species observed during the Fall...

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No raw data is included in this dataset. For collection methods of data used in this analysis, please refer to methods outlined in the linked datasets.


Related Datasets

IsDerivedFrom

Dataset: Drone habitat variables, Port Fourchon 2023
Relationship Description: The dataset "2023 Drone-derived habitat scales from Port Fourchon, LA" contains the habitat variable tables for each site included in the analysis at scales where we used drone-derived data to calculate habitat metrics. Each table corresponds to a habitat scale that was tested in this mode. In the code, this data is imported as the object hab and merged with species data to generate the pf.env table used in the GAM models. The scripts necessary to generate this data from raw shapfiles are also included.
Leavitt, H., Thomas, A., Nelson, J. (2025) Habitat variables (mangrove, marsh, water) of Port Fourchon, LA dervied from drone imagery taken in spring 2023. Biological and Chemical Oceanography Data Management Office (BCO-DMO). (Version 1) Version Date 2025-01-08 doi:10.26008/1912/bco-dmo.948112.1
IsDerivedFrom

Dataset: Satellite habitat variables, Port Fourchon, 2022
Relationship Description: The dataset "2022 Satellite-derived habitat scales from Port Fourchon, Louisiana" contains the habitat variable tables for each site included in the analysis at scales where we used satellite-derived data to calculate habitat metrics. Each table corresponds to a habitat scale that was tested in this mode. In the code, this data is imported as the object hab and merged with species data to generate the pf.env table used in the GAM models. The scripts necessary to generate this data from raw shapfiles are also included.
Leavitt, H., Thomas, A., Nelson, J. (2025) Habitat variables (mangrove, marsh, water) of Port Fourchon, LA dervied from satellite imagery taken in fall 2022. Biological and Chemical Oceanography Data Management Office (BCO-DMO). (Version 1) Version Date 2025-01-06 doi:10.26008/1912/bco-dmo.947975.1
IsDerivedFrom

Dataset: Drop Sampling Data - Port Fourchon, LA 2022
Relationship Description: The dataset "Drop-sampling species data collected from Port Fourchon, LA during Fall 2022 sampling season" contains the species abundance data used in this analysis. Abundance data is linked to the habitat data in this analysis using the identifier site_date_key. In the code, this data is imported as the object comtab and merged with habitat date to produce a dataset pf.env including species abundance and the habitat variables at a given scale for each site in the analysis.
Leavitt, H., Thomas, A., Nelson, J. (2025) Species counts, site-level information and environmental context sampled near Port Fourchon, Louisiana from September 23 - 29, 2022. Biological and Chemical Oceanography Data Management Office (BCO-DMO). (Version 1) Version Date 2025-02-24 http://lod.bco-dmo.org/id/dataset/947784

Related Publications

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