Research Overview

The Siders lab leverages diverse quantitative approaches from across ecology and fisheries science to aid natural resource management, generate robust ecological inference, and develop new analytical approaches. We use the challenges of data deficiency and big data to drive innovation, integration, and collaboration in our research. 
FISHERIES MANAGEMENT
Protected Species Population Assessment — As part of a collaboration with the NOAA Pacific Islands Fisheries Science Center, NOAA Pacific Islands Regional Office, and the Western Pacific Regional Fisheries Management Council, Dr. Siders modeled the trajectory of two populations of protected sea turtle species: western Pacific Leatherbacks and north Pacific Loggerheads. This species are caught incidentally on the Hawai'i and American Samoa pelagic longline fisheries. Using a Bayesian population trend estimation and a "take" model with demographic and fishery stochasticity, the team estimated negligible impacts of the Hawai'i shallow-set, deep-set, and the American Samoa longline fishery on the two populations. Unfortunately, other external threats are negatively impacting the trend of western Pacific Leatherbacks, which are likely to go extinct before the end of the century. Our findings are published in two NOAA Technical Memorandum: TM-PIFSC-95 & TM-PIFSC-101.
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Premium Opah for sale at the Honolulu Fish Auction
Dynamic Ocean Management — The Siders' lab has ongoing research building dynamic ocean management tools for the Central North Pacific in collaboration with the NOAA Pacific Island Fisheries Science Center and Western Pacific Regional Fisheries Management Council. The two primary pelagic fisheries are the Hawaii-based Bigeye Tuna and Swordfish using longlines. Protected sea turtle, cetacean, seabird, and shark species are infrequently encountered by the fisheries but, due to their conservation status, each interaction is a potential cause for concern. But with the moving target of pelagic species, it can be difficult to effectively maintain sustainable fisheries alongside protected pelagic species. ​Dynamic Ocean Management seeks to solve this by using risk maps or dynamically closed spatial areas to reduce bycatch. Current research is exploring the effects on bycatch rates by building dynamic ocean management products then using management strategy evaluation to simulate how fishers might respond and evaluate the performance of the tools.
BAYESISAN APPROACHES
​FOR
LIFE HISTORY
Life history is a critical component of a species' ecology involving many physiological and biological processes such as growth, maturity, and reproduction. For many species, information on life history can be hard to acquire but essentially for determining the risk to a species' survival from detrimental actions. Our lab works to generate Bayesian approaches to integrate various data sources on life history for a wide-variety of species. Below are published examples of this research.
Brazilian Guitarfish — Led by Dr. Fabio Caltabellotta, Dr. Siders developed a Bayesian age-growth model for Pseudobatos horkelii, Pseudobatos percellens, and ​Zapteryx brevirostris in southern Brazil. The resulting model was used to estimate age and growth parameters for these three priority guitarfish species listed as Critically Endangered, Near Threatened, and Vulnerable by the International Union for the Conservation of Nature. Now published: doi: 10.1111/jfb.14123
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(Above) Bowtie sections of guitarfish vertebrae for the three Brazilian guitarfish species showing off the classic banding patterns left behind by annual growth spurts. (Left) Age-growth relationships for three Brazilian Guitarfish species. Age is on the x-axis in units of years and growth is on the y-axis in units of centimeters of total length.
Brazilian Electric Ray — Led by Dr. Fernanda Rolim, a postdoc at Universidade Estadual Paulista in São Paolo, Brazil, Dr. Siders extended the Brazilian guitarfish model to estimate two-dimensional growth of ​Narcine brasiliensis, the Brazilian Electric Ray, in southern Brazil. The joint estimation of length-weight and age-growth parameters was added along with derivations of age at maturity, longevity, and mortality at age. A significant component was incorporating uncertainty in size at birth into the von Bertalanffy growth model. 
Now published: doi: 10.1111/jfb.14378
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(Above) Silhouettes of Goblin Sharks through the ages. (top) 1898 in the description of the species by David Starr Jordan. (top middle) 1904 by King Bragança of Portugal. (top bottom) 1909 by Hussakof and the renaming of Mitsukurina to Scapanorhynchus for a time. (bottom) 1981 by Cadenat and Blache in Requins de Méditerranée et d' Atlantique.
​Goblin Shark — Led by Dr. Siders and Dr. Fabio Caltabellotta, we estimated the first age-growth relationship for Goblin Sharks (Mitsukurina owstoni), one of the largest deepwater sharks. Fabio developed a method to highlight the classic banding pattern that allowed an age reading on a specimen caught in Brazil in 2008. I developed a Bayesian age-growth model that used back-calculated lengths at age from this specimen, data on maximum male sizes, and data on size at birth to estimate the first age-growth parameters for the species. We are excited to age more specimens in the future. Now published: doi.org/10.1071/MF19370

PELAGIC BIODIVERSITY
Pelagic species are often circumglobal, spanning most of the planet's oceans, resulting in pelagic megafaunal communities assembling from recombinations of mostly the same species. Some of the lab's current research explores the assembly dynamics of these combinatorial communities. The aim of this research is to determine the influence of niche overlap and environmental drivers on community assembly. While the focus is understanding pelagic community ecology, many of the products of this work such phylogenetic and functional relationships between species are useful in the more applied aspects of the lab's research.
 Initial research was funded by the University of Florida Biodiversity Institute and was focused on dimensions of pelagic shark biodiversity in the North Pacific. For this work we assembled 38 traits from 1225 records from 130 sources, 260 pictographs from seven sources, and 631 teeth photographs from 79 jaw specimens! Using all this trait data, the research identified ten functional groups largely split by life history strategy, habitat, as well as dentition and diet. We found that only bathymetric zone really separated the functional groups of sharks across a suite of macro ecological gradients. Check out the full paper here.
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(A) North Pacific shark species and their functional group membership. (B) The mean trait value for each functional group and how clustered it was on the phylogeny.

PUBLICATIONS

  1. Vilas D., Fletcher R.J. Jr., Siders Z., Chagaris D. (2022) Understanding the temporal dynamics of estimated environmental niche hypervolumes for marine fish. Ecology and Evolution. doi: 10.1002/ece3.9604.
  2. Siders Z.A., Westgate A.J., Bell K., Koopman H.N. (2022) Highly variable basking shark (Cetorhinus maximus) diving behavior in the lower Bay of Fundy, Canada. Frontiers in Marine Science. doi: 10.3389/fmars.2022.976857
  3. Siders Z.A., Trotta L.B., Caltabellotta F.P., Loesser K.B., Baiser B., Ahrens R.N.M. (2022) Functional and phylogenetic diversity of sharks in the northeastern Pacific. Journal of Biogeography. doi: 10.1111/jbi.14383
  4. Tuckett Q., Lawson K., Lipscomb T.N., Hill J.E., Daniel W., Siders Z.A., (2021) Non-native poeciliids in hot water; the role of thermal springs in facilitating invasion of tropical species. Hydrobiologia. doi: 10.1007/s10750-021-04669-9.
  5. McCullough J.L.K., Wren J.L.K., Oleson E.M., Allen A.N., Siders Z.A. & Norris E.S. (2021). An Acoustic Survey of Beaked Whales and Kogia spp. in the Mariana Archipelago Using Drifting Recorders. Frontiers in Marine Science. https://doi.org/10.3389/fmars.2021.664292
  6. Trotta L.B., Siders Z.A., Sessa E.B., Baiser B. (2021) The role of phylogenetic scale in Darwin's naturalization conundrum in the critically imperiled pine rockland ecosystem. Diversity and Distributions. onlinelibrary.wiley.com/doi/10.1111/ddi.13220
  7. Siders Z.A., Ducharme-Barth N., Carvalho F., Kobayashi D., Martin S., Raynor J., Jones T.T., Ahrens R.N.M. (2020) Ensemble Random Forests as a tool to model rare occurrences. Endangered Species Research. doi.org/10.3354/esr01060
  8. Siders Z.A., Havens K.E. (2020) Revisiting the Total Maximum Daily Load Total Phosphorous Goal in Lake Okeechobee. Hydrobiologia. doi.org/10.1007/s10750-020-04406-8
  9. Caltabellotta F.P.†, Siders Z.A.†, Cailliet G.M., Motta F., Gadig O.B.F. (2020) Preliminary age and growth of the deep-water Goblin Shark Mitsukurina owstoni (Jordan, 1898). Marine and Freshwater Research. doi.org/10.1071/MF19370
  10. Hazelkorn R.A., Wells R.S., Siders Z.A., DeLynn R., Lovewell G.N. (2020) Physical maturity in common bottlenose dolphins (Tursiops truncatus) from Sarasota Bay, FL. Marine Mammal Science. doi.org/10.1111/mms.12733
  11. Siders Z.A., Allen M.S., Walters C.J., Ahrens R.N.M. (2020) Density-dependent prey behaviors and mutable predator foraging modes induce Allee effects and variability in prey mortality rates. Freshwater Biology.  doi:10.1111/fwb.13577
  12. Rolim F.A.†, Siders Z.A.†, Caltabelotta F.P.†, Rotundo M.M., Vaske-Júnior T. (2020) Growth and derived life history characteristics of the Brazilian electric ray Narcine brasiliensis. Journal of Fish Biology. doi: 10.1111/jfb.14378
  13. Martin S.†, Siders Z.A.†, Eguchi T., Langseth B., Yau A., Baker J., Ahrens R.N.M., Jones T.T. (2020) Update to Assessing the Population-level Impacts of North Pacific Loggerhead and Western Pacific Leatherback Turtle Interactions, inclusion of the Hawaii-based Deep-set and American Samoa-based Longline Fisheries. NOAA Technical Memorandum NMFS-PIFSC-101. Honolulu, Hawaii, USA. doi: 10.25923/pnf2-2q77
  14. Mobini S., Kuliasha C.A., Siders Z.A., Bohmann N., Jamal S-M, Judy J.W., Schmidt C.E., Brennan A.B. (2020) Microtopographical patterns on the surface of neural implants promote different responses in Fibroblasts and Schwann cells. Journal of Biomedical Materials Research Part A. doi:10.1002/jbm.a.37007
  15. Martin S., Siders Z.A., Eguchi T., Langseth B., Yau A., Baker J., Ahrens R.N.M., Jones T.T. (2020) Assessing the population level impacts of North Pacific Loggerhead and western Pacific Leatherback interactions in the Hawaii-based shallow set fishery. NOAA Technical Memorandum NMFS-PIFSC-95. Honolulu, Hawaii, USA. doi:10.25923/ydp1-f891
  16. Caltabellotta F.P., Siders Z.A., Murie D.J., Motta F.S., Cailliet G.M., Gadig O.B.F.  (2019) Age and growth of three endemic threatened guitarfishes (Pseudobatos horkelii, Pseudobatos percellens and Zapteryx brevirostris) in the Western South Atlantic (Chondrichthyes, Rhinopristiformes). Journal of Fish Biology. doi: 10.1111/jfb.14123
  17. Matthias B.G., Ahrens R.N.M., Allen M.S., Tuten T., Siders Z.A., Wilson K.L.  (2018) Understanding the effects of density and environmental variability on the process of fish growth. Fisheries Research. 198. 209-219. doi: 10.1016/j.fishres.2017.08.018
  18. Lynch A.J., Cooke S.J., …, Siders Z.A., Taylor W.W., Youn S. (2017) Grand challenges in the management and conservation of North American inland fish and fisheries. Fisheries. 42(2): 115-124. doi: 10.1080/03632415.2017.1259945
  19. Koopman H.N., Westgate A.J., Siders Z.A. (2015) Declining fecundity and factors affecting embryo quality in the American lobster (Homarus americanus) from the Bay of Fundy. CJAFS. 72: 353-363. doi: 10.1139/cjfas-2014-0277
  20. Koopman H.N., Westgate A.W., Siders Z.A., Cahoon L.B. (2014) Rapid sub-surface ocean warming in the Bay of Fundy as measured by free-swimming basking sharks. Oceanography 2: 14-16. doi: 10.5670/oceanog.2014.32
  21. Westgate A.W., Koopman H.N., Siders Z.A., Wong S.N.P., Ronconi R.A. (2014) Population density and abundance of basking sharks in the lower Bay of Fundy, Canada. Endangered Species Research. 23: 177-185. doi:10.3354/esr00567
  22. Siders Z.A., Westgate A.J., Johnston D.J., Murison L.M., Koopman H.N. (2013) Seasonal variation in the spatial distribution of basking sharks (Cetorhinus maximus) in the lower Bay of Fundy, Canada. PLoS ONE 8(12): e82074. doi:10.1371/journal.pone.0082074​
  23. Koopman H.N., Siders Z.A. (2013) Variations in egg quality in blue crabs, Callinectes sapidus, from North Carolina: does female size matter? Journal of Crustacean Biology. 33. 481-487. doi: 10.1163/1937240X-00002152
† Co-first author
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