Danielle Haulsee's interests include combining innovative technology and oceanographic remote sensing techniques with the biogeography and movement of marine species. She received her B.S. in Environmental Science from Gettysburg College in 2010 and her Ph.D. from the University of Delaware in 2017. At the University of Delaware she worked as a Ph.D. student and post-doctoral researcher with Dr. Matthew Oliver in the ORB Lab, focusing her research on threatened Sand Tiger sharks and endangered Atlantic Sturgeon. She used statistical models to quantify the habitat preferences, migratory behavior, and social dynamics of these species of interest. She has joined the Crowder Lab to work on a project tagging and tracking billfish off the coast of Costa Rica, Project DynaMAR (www.projectdynamar.com). Danielle will combine billfish locations from satellite tags with remotely sensed and modeled oceanographic data to predict billfish distribution in a changing climate.
Basic Life Science Research Associate, Biology
- Where do the billfish go? Using recreational catch data to relate local and basin scale environmental conditions to billfish occurrence in the Eastern Tropical Pacific FISHERIES OCEANOGRAPHY 2021
A satellite-based mobile warning system to reduce interactions with an endangered species.
Ecological applications : a publication of the Ecological Society of America
Earth observing satellites are a major research tool for spatially explicit ecosystem nowcasting and forecasting. However, there are practical challenges when integrating satellite data into usable real-time products for stakeholders. The need of forecast immediacy and accuracy means that forecast systems must account for missing data and data latency while delivering a timely, accurate and actionable product to stakeholders. This is especially true for species that have legal protection. Acipenser oxyrinchus oxyrinchus (Atlantic Sturgeon) were listed under the United States Endangered Species Act in 2012, which triggered immediate management action to foster population recovery and increase conservation measures. Building upon an existing research occurrence model, we developed an Atlantic Sturgeon forecast system in the Delaware Bay, U.S.A. To overcome missing satellite data due to clouds and produce a three-day forecast of ocean conditions, we implemented Data Interpolating Empirical Orthogonal Functions (DINEOF) on daily observed satellite data. We applied the Atlantic Sturgeon research model to the DINEOF output and found that it correctly predicted Atlantic Sturgeon telemetry occurrences over 90% of the time within a three-day forecast. A similar framework has been utilized to forecast harmful algal blooms, but to our knowledge, this is the first time a species distribution model has been applied to DINEOF gap-filled data to produce a forecast product for fishes. To implement this product into an applied management setting, we worked with state and federal organizations to develop real-time and forecasted risk maps in the Delaware River Estuary for both state level managers and commercial fishers. An automated system creates and distributes these risk maps to subscribers' mobile devices, highlighting areas that should be avoided to reduce interactions. Additionally, an interactive web interface allows users to plot historic, current, future, and climatological risk maps as well as the underlying model output of Atlantic Sturgeon occurrence. The mobile system and web tool provide both stakeholders and managers real-time access to estimated occurrences of Atlantic Sturgeon, enabling conservation planning and informing fisher behavior to reduce interactions with this endangered species while minimizing impacts to fisheries and other projects.
View details for DOI 10.1002/eap.2358
View details for PubMedID 33870598
Promoting equity in scientific recommendations for high seas governance
2021; 4 (6): 790-794
View details for DOI 10.1016/j.oneear.2021.05.011
- Simple is sometimes better: a test of the transferability of species distribution models ICES JOURNAL OF MARINE SCIENCE 2020; 77 (5): 1752–61
Comparative migration ecology of striped bass and Atlantic sturgeon in the US Southern mid-Atlantic bight flyway.
2020; 15 (6): e0234442
Seasonal migrations are key to the production and persistence of marine fish populations but movements within shelf migration corridors or, "flyways", are poorly known. Atlantic sturgeon and striped bass, two critical anadromous species, are known for their extensive migrations along the US Mid-Atlantic Bight. Seasonal patterns of habitat selection have been described within spawning rivers, estuaries,and shelf foraging habitats, but information on the location and timing of key coastal migrations is limited. Using a gradient-based array of acoustic telemetry receivers, we compared the seasonal incidence and movement behavior of these species in the near-shelf region of Maryland, USA. Atlantic sturgeon incidence was highest in the spring and fall and tended to be biased toward shallow regions, while striped bass had increased presence during spring and winter months and selected deeper waters. Incidence was transient (mean = ~2 d) for both species with a pattern of increased residency (>2 d) during autumn and winter, particularly for striped bass, with many individuals exhibiting prolonged presence on the outer shelf during winter. Flyways also differed spatially between northern and southern migrations for both species and were related to temperature: striped bass were more likely to occur in cool conditions while Atlantic sturgeon preferred warmer temperatures. Observed timing and spatial distribution within the Mid-Atlantic flyway were dynamic between years and sensitive to climate variables. As shelf ecosystems come under increasing maritime development, gridded telemetry designs represent a feasible approach to provide impact responses within key marine flyways like those that occur within the US Mid-Atlantic Bight.
View details for DOI 10.1371/journal.pone.0234442
View details for PubMedID 32555585
View details for PubMedCentralID PMC7299546
- Spatial ecology of Carcharias taurus in the northwestern Mid-Atlantic coastal ocean MARINE ECOLOGY PROGRESS SERIES 2018; 597: 191–206
- Satellite driven distribution models of endangered Atlantic sturgeon occurrence in the mid-Atlantic Bight ICES JOURNAL OF MARINE SCIENCE 2018; 75 (2): 562–71
Factors affecting detection efficiency of mobile telemetry Slocum gliders
2017; 5 (14)
View details for DOI 10.1186/s40317-017-0129-8
Social Network Analysis Reveals Potential Fission-Fusion Behavior in a Shark
2016; 6: 34087
Complex social networks and behaviors are difficult to observe for free-living marine species, especially those that move great distances. Using implanted acoustic transceivers to study the inter- and intraspecific interactions of sand tiger sharks Carcharias taurus, we observed group behavior that has historically been associated with higher order mammals. We found evidence strongly suggestive of fission-fusion behavior, or changes in group size and composition of sand tigers, related to five behavioral modes (summering, south migration, community bottleneck, dispersal, north migration). Our study shows sexually dimorphic behavior during migration, in addition to presenting evidence of a potential solitary phase for these typically gregarious sharks. Sand tigers spent up to 95 consecutive and 335 cumulative hours together, with the strongest relationships occurring between males. Species that exhibit fission-fusion group dynamics pose a particularly challenging issue for conservation and management because changes in group size and composition affect population estimates and amplify anthropogenic impacts.
View details for DOI 10.1038/srep34087
View details for Web of Science ID 000384340600001
View details for PubMedID 27686155
View details for PubMedCentralID PMC5043177
- Separation anxiety: mussels self-organize into similar power-law clusters regardless of predation threat cues MARINE ECOLOGY PROGRESS SERIES 2016; 547: 107–19
- Implantation and Recovery of Long-Term Archival Transceivers in a Migratory Shark with High Site Fidelity PLOS ONE 2016; 11 (2)
- Habitat selection of a coastal shark species estimated from an autonomous underwater vehicle MARINE ECOLOGY PROGRESS SERIES 2015; 528: 277–88
- Shrinking the Haystack: Using an AUV in an Integrated Ocean Observatory to Map Atlantic Sturgeon in the Coastal Ocean FISHERIES 2013; 38 (5): 210–16