Fish densities sampled by Dual Frequency Identification Sonar (DIDSON) within Artificial Seagrass Units (ASU) in Back Sound, NC from June to October 2018
Fish densities sampled by Dual Frequency Identification Sonar (DIDSON) within Artificial Seagrass Units (ASU) in Back Sound, NC from June to October 2018
Date
2023-03-28
Authors
Yarnall, Amy
Fodrie, F. Joel
Morley, James
Yeager, Lauren
Fodrie, F. Joel
Morley, James
Yeager, Lauren
Linked Authors
Alternative Title
Citable URI
Date Created
2023-03-13
Location
North Carolina
westlimit: -76.603; southlimit: 34.701; eastlimit: -76.589; northlimit: 34.707
westlimit: -76.603; southlimit: 34.701; eastlimit: -76.589; northlimit: 34.707
DOI
10.26008/1912/bco-dmo.891779.1
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Keywords
artificial seagrass units
catch per unit effort
contiguous versus patchy
density
benthopelagic fish
percolation probability
acoustic imaging
DIDSON
catch per unit effort
contiguous versus patchy
density
benthopelagic fish
percolation probability
acoustic imaging
DIDSON
Abstract
To parse the ecological effects of habitat area and patchiness on faunal community structure and dynamics of estuarine nekton, we employed artificial seagrass unit (ASU) landscapes at a scale relevant to habitat fidelity of common fish and macroinvertebrates in our temperate study system, Back Sound, NC. These ASU landscapes were designed along orthogonal axes of artificial seagrass area (i.e., percent cover of each landscape = 10-60 percent) and fragmentation per se (i.e., percolation probability; 0.1-0.59) to delineate their independent and interactive effects on seagrass fish communities.
To examine potential differences among faunal responses to habitat configuration within structured habitat (i.e., artificial seagrass) versus matrix habitat (i.e., sand/mudflat) within the borders of the landscape footprint, fish densities (catch per unit effort; CPUE) were sampled by Dual Frequency Identification Sonar (DIDSON) at three locations within each landscape from June to October 2018. Fish densities were sampled within the largest ASU patch of each landscape (“largest patch”) and at two locations within the matrix: 1-m away from the largest patch ("near-patch") and bisecting the largest interpatch distance ("interpatch"). Interpatch samples were not taken in landscapes with 0.59 percolation probability, as they only had one patch.
DIDSON samples were collected by Drs. F. Joel Fodrie, James W. Morley, and Amy H. Yarnall for the Estuarine Ecology Laboratory of the University of North Carolina at Chapel Hill’s Institute of Marine Sciences.
For a complete list of measurements, refer to the full dataset description in the supplemental file 'Dataset_description.pdf'. The most current version of this dataset is available at: https://www.bco-dmo.org/dataset/891779
Description
Dataset: ASU Fragmentation – DIDSON Fish CPUE
Embargo Date
Citation
Yarnall, A., Fodrie, F. J., Morley, J., & Yeager, L. (2023). Fish densities sampled by Dual Frequency Identification Sonar (DIDSON) within Artificial Seagrass Units (ASU) in Back Sound, NC from June to October 2018 (Version 1) [Data Set]. Biological and Chemical Oceanography Data Management Office (BCO-DMO). https://doi.org/10.26008/1912/bco-dmo.891779.1