Dataset: Data from minnow traps deployed to accompany scallop survival assays conducted as part of a larger concurrent study with Artificial Seagrass Units (ASU) in NC from July to September 2018

Final no updates expectedDOI: 10.26008/1912/bco-dmo.939600.1Version 1 (2024-10-11)Dataset Type:Other Field ResultsDataset Type:experimental

Co-Principal Investigator, Contact: F. Joel Fodrie (University of North Carolina at Chapel Hill)

Scientist, Contact: Amy Yarnall (University of North Carolina at Chapel Hill)

BCO-DMO Data Manager: Amber D. York (Woods Hole Oceanographic Institution)


Project: Collaborative Research: Habitat fragmentation effects on fish diversity at landscape scales: experimental tests of multiple mechanisms (Habitat Fragmentation)


Abstract

This dataset contains minnow trap data from deployments performed to accompany scallop survival assays conducted in 2018 (assays across landscape area x fragmentation per se treatments). These data were collected as part of the following study published in Yarnall et al. (2024): To parse the influences of fragmentation components on scallop survival, we generated nine unique landscapes composed of artificial seagrass units (ASUs), were constructed to mimic Zostera marina. These landscapes wer...

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CPUE = Catch Per Unit Effort
ASU = artificial seagrass unit
 


Related Datasets

IsRelatedTo

Dataset: Scallop Survival Assays
Relationship Description: Datasets collected concurrently as part of the same study in Back Sound, NC.
Yarnall, A., Fodrie, F. J. (2024) Data from scallop survival assays conducted as part of a larger concurrent study of fragmentation effects on estuarine faunal communities with Artificial Seagrass Units (ASU) in Back Sound, NC from July to September 2018. Biological and Chemical Oceanography Data Management Office (BCO-DMO). (Version 1) Version Date 2024-10-04 doi:10.26008/1912/bco-dmo.939581.1
IsRelatedTo

Dataset: ASU Fragmentation – Landscape Fine-scale Complexity
Relationship Description: Datasets collected concurrently as part of the same study in Back Sound, NC.
Yarnall, A., Fodrie, F. J., Lopazanski, C., Poray, A. K., Yeager, L. (2023) Landscape fine-scale complexity of seagrass, fish and macroinvertebrate communities within Artificial Seagrass Units (ASU) in Back Sound, NC from July to September 2018. Biological and Chemical Oceanography Data Management Office (BCO-DMO). (Version 1) Version Date 2023-03-17 doi:10.26008/1912/bco-dmo.891652.1
IsRelatedTo

Dataset: ASU Fragmentation – Landscape Parameters
Relationship Description: Datasets collected concurrently as part of the same study in Back Sound, NC.
Yarnall, A., Fodrie, F. J., Lopazanski, C., Poray, A. K., Yeager, L. (2023) Landscape parameters of seagrass, fish and macroinvertebrate communities within Artificial Seagrass Units (ASU) in Back Sound, NC from July to September 2018. Biological and Chemical Oceanography Data Management Office (BCO-DMO). (Version 1) Version Date 2023-03-27 doi:10.26008/1912/bco-dmo.891670.1

Related Publications

Results

Yarnall, A. H., Yeager, L. A., Lopazanski, C., Poray, A. K., Morley, J. W., Hurlbert, A. H., & Fodrie, F. J. (2024). Habitat area more consistently affects seagrass faunal communities than fragmentation per se. Ecological Monographs. Portico. https://doi.org/10.1002/ecm.1629
Methods

Yarnall, A. H., Yeager, L. A., Lopazanski, C., Poray, A. K., Morley, J. M., Hurlbert, A., and Fodrie, F.J. Habitat area more consistently affects seagrass faunal communities than fragmentation per se.