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White Lab :: Research Areas

 palosverdesMPA  Marine metapopulation dynamics
Most of my current work centers on modeling the dynamics of marine metapopulations.  Such models are essential in order to predict the large-scale, long-term consequences of empirical observations and to generate new hypotheses that can be tested by directed fieldwork.  Much of this research deals with the design and placement of marine protected areas
- zones in which harvest is prohibited or severely reduced.  My work in this area involves many collaborators and has taken several directions:


• Marine Protected Area (MPA) design: strategic models

Most "rules of thumb" for MPA design (i.e., guidelines for how big, how many, and where they should be) have their roots in relatively simple strategic models of idealized, generic coastlines.  My work in this area has built on previous efforts to include spatial heterogeneties in larval dispersal (e.g., retention zones) and uncertainty in fishery management outside MPA boundaries. 

Work on this topic is ongoing; currently I am investigating how MPA design should anticipate spatially autocorrelated environmental disturbances and how adaptive management should be applied to the short-term response of MPAs to protection.  This research is primarily in collaboration with Loo Botsford, Alan Hastings,
John Largier, Marissa Baskett, and Liz Moffitt; funded by NSF, Resource Legacy Fund Foundation, and California SeaGrant.

Publications

Moffitt EA, White JW, Botsford LW.  Results of monitoring marine protected areas depend on metrics and scales.  In review,  Marine Ecology Progress Series


White JW, Botsford LW, Hastings A, Baskett ML, Kaplan DM, Barnett LAK. 2013. Transient responses of fished populations to marine reserve establishment. In press, Conservation Letters

Moffitt EA, White JW, Botsford LW. 2011.  The utility and limitations of size and spacing guidelines for designing marine protected area networks. Biological Conservation 144: 306-318

White JW, Rogers-Bennett L. 2010.  Incorporating physical oceanographic proxies of recruitment into population models to improve fishery and marine protected area management.  CalCOFI Reports 51: 128-149

White JW, Botsford LW, Hastings A, and Largier JL. 2010.  Population persistence in marine reserve networks: incorporating spatial heterogeneities in larval dispersal.  Marine Ecology Progress Series 398: 49-67

Botsford LW, White JW, Coffroth M-A, Jones GP, Paris C, Planes S, Shearer TL, and Thorrold S. 2009.  Connectivity and resilience of coral reef metapopulations in MPAs: matching empirical efforts to predictive needs. Coral Reefs 28: 327-337

        
• Marine Protected Area (MPA) design: tactical models

In specific management situations, it is necessary to tailor generic population models to specific locations and species in order to advise the decisions of policymakers.  Along with many colleagues, I have developed bioeconomic population models used in the evaluation of MPAs proposed for coastal California as part of the Marine Life Protection Act Initiative.  These models have been used in the North Central and South Coasts, and are currently being developed for the North Coast, where I am a member of the Science Advisory Team.  In collaboration with Loo Botsford, David Kaplan, Doug Fischer, Liz Moffitt, Chris Costello, and Andrew Rassweiler; funded by the Resource Legacy Fund Foundation.  Although work for the MLPA in California is nearly finished, I am currently developing similar models for other coastal areas, such as the Galapagos Islands.

Publications

White JW, Scholz AJ, Rassweiler A, Steinback C, Botsford LW, Kruse S, Costello C, Mitarai S, Siegel D, Drake PT, Edwards CA. 2013. A comparison of approaches used for economic analysis in marine protected area network planning in California. Ocean and Coastal Management 73: 77-89

White JW, Botsford LW, Baskett ML, Barnett LAK, Barr RJ, Hastings A. 2011. Linking models and monitoring data for assessing performance of no-take marine reserves. Frontiers in Ecology and the Environment 9: 390-399

Fischer DT, White JW, Botsford LW, Largier JL, Kaplan DM. 2011. A GIS-based tool for representing larval dispersal for marine reserve selection.  The Professional Geographer 63: 489-513

White JW, Botsford LW, Moffitt EA, and Fischer DT.  2010.  Decision analysis for designing marine protected areas for multiple species with uncertain fishery status.  Ecological Applications 20: 1523-1541

White JW. 2010.  Adapting the steepness parameter from stock-recruit curves for use in spatially explicit models.  Fisheries Research 102: 330-334


• Reef fish metacommunity dynamics

Nearly all reef fishes have a planktonic larvae that can spend weeks to months in the pelagic zone, potentially dispersing long distances before settling back into adult habitat.  The apparent unpredictability of larval supply has frustrated efforts to fully understand marine population dynamics. However, in some cases observations and models of nearshore oceanography can generate reliable predictions of dispersal patterns.  For example, long-term observations  at the Caribbean island of St. Croix conducted in collaboration with colleagues in Bob Warner's lab at UCSB provide evidence for a consistent, long term pattern of larval recruitment of bluehead wrasse (a common reef planktivore), apparently driven by local oceanography.  Additionally, the same oceanographic factors appear to drive patterns of recruitment of coney grouper (a wrasse predator) and production of nearshore copepods (wrasse prey) around the island. 

I have explored the consequences of these patterns for the planktivore (wrasse) metapopulation using a series of simple analytical and simulation models. 
Ongoing modeling work in collaboration with Jameal Samhouri centers on the ecological consequences of oceanographic forcing across three trophic levels: spatial coupling of zooplankton productivity (generally high in oceanographic retention zones) and the larval delivery of reef planktivores and their predators (also high in retention zones).  We have used this model to generate a series of predictions about larval production and source-sink dynamics in reef metacommunities that we plan to test in the field in the Florida Keys (and possibly other locations, depending on funding) beginning in 2011.

Publications

White JW, Samhouri JF. 2011.  Oceanographic coupling across multiple trophic levels shapes source-sink dynamics in marine metacommunities.  Oikos 120: 1151-1164

White JW. 2008. The correlated settlement effect: spatially coupled larval supply of marine predators and their prey alters the predictions of metapopulation models.  The American Naturalist 171: E179-E194

White JW. 2007.  Spatially correlated recruitment of a marine predator and its prey shapes the large-scale pattern of prey mortality.  Ecology Letters 10: 1054-1065

Hamilton SL, White JW, Caselle JE, Swearer SE, and Warner RR.  2006.  Consistent long-term spatial gradients of replenishment for an island population of a coral reef fish.  Marine Ecology Progress Series 306: 247-256


IPs       Behavior and ecology of reef fishes across multiple spatial scales

A fundamental goal of ecology is to understand how individual-level interactions and behaviors "scale up" to drive population dynamics.  Reef fishes are an excellent study system for this topic because adults and juveniles tend to lead relatively sedentary lives (making it easy to monitor populations over time and do fieldwork at reasonable spatial scales) and live in clear, coastal waters (making it easy to count fish and study their behavior).  My work in this area has mostly been done on bluehead wrasse (Thalassoma bifasciatum) in St. Croix, US Virgin Islands, but I am currently transitioning to work at the UNCW/NOAA lab in the Florida Keys.

Costs and benefits of aggregation

Coral reef fishes have proven to be fertile ground for studies on density-dependent population regulation.  A host of elegant studies have demonstrated that soon after larval fish settle onto the reef and metamorphose into juveniles, they suffer heavy density-dependent predation.  Often this is because they are competing for a limited amount of enemy-free shelter space.  All else being equal, this phenomenon should select for an aversion to aggregation.  On the other hand, decades of behavioral research suggest that fish aggregate into shoals to take advantage of safety-in-numbers.  So is aggregation advantageous or not? 

I addressed this question in my dissertation research using the bluehead wrasse, a small Caribbean reef fish.  In this species it appears that small groups of fish experience safety in numbers (per capita mortality decreases with group size), although group members also compete for planktonic copepod prey, and this food competition probably limits group size.  However, when wrasse population density and mortality are measured at the spatial scale of entire reef, a different pattern emerges: per capita mortality actually increases with density.   This may occur because predatory fishes make foraging decisions at a spatial scale much larger than an individual wrasse shoal. 

These results seem to resolve the apparent conflict between the predictions of population ecology and behavioral ecology.  They have also led to the development of (1) a conceptual model describing the relationship between habitat configuration and the spatial scale of predator decisionmaking and (2) a formal mathematical model describing the interaction of opposing processes at different scales (e.g., small-scale safety in numbers vs. large-scale direct density dependence) on the stability of prey population dynamics.  I am currently developing field experiments to test these predictions.

Spatial scales of predator decisionmaking

Analysis of spatial patterns of density-dependent mortality in small coral reef fishes suggests that a key factor affecting mortality rates could be the spatial scale at which predators make foraging decisions.  That is, how do predators decide what is a "patch" of prey, and how does the size of that patch affect their foraging decisions?  Research on this topic is currently in the planning stage, but will involve a combination of field and lab investigations.

Publications

Hunsicker ME, Ciannelli L, Bailey KM, Buckel JA, White JW, Link JS, Essington TE, Anderson TW, Brodeur RD, Chan KS, Chen K, Englund G, Frank KT, Frietas V, Gaichas S, Hixon MA, Hurst T, Johnson DW, Kitchell JF, Reese D, Rose GA, Sjodin H, Sydeman WJ, van der Veer H, Vollset K, Zador S. 2011. Functional responses and scaling in marine predator-prey interactions: contemporary issues and emerging concepts. Ecology Letters 14: 1288-1299

White JW. 2011.  Can inverse density dependence at small spatial scales produce dynamic instability in animal populations? Theoretical Ecology 4: 357-370

White JW, Samhouri JF, Stier AC, Wormald CL, Hamilton SL, Sandin SA. 2010. Synthesizing mechanisms of density dependence in reef fishes: behavior, habitat configuration, and observation scale. Ecology 91: 1949-1961

White JW and Caselle JE.  2008.  Scale-dependent changes in the importance of larval supply and habitat availability to abundance of a temperate reef fish. Ecology 89: 1323-1333

White JW and Warner RR. 2007. Behavioral and energetic costs of group membership in a shoaling reef fish. Oecologia 154: 423:433

White JW and Warner RR. 2007. Group size benefits and the spatial scaling of density dependence in a coral reef fish.  Ecology 88: 3044-3054


normal    Multivariate statistics for stock discrimination analysis

Efforts to understand marine metapopulation biology are often hampered by the lack of knowledge about the movement patterns of pelagic larvae.  My collaborators in Bob Warner's lab at UCSB and elsewhere have begun using the trace elements deposited in fish otoliths as a natural 'tag' to track larval movements.  Different water masses, especially those near terrestrial runoff inputs, tend to produce distinctive signatures in the otoliths of fish spawned there.  In theory it is possible to look at the natal signature in the core of a fish's otolith and determine where that fish was spawned, thus cracking open the 'black box' of larval movement.  However, there are some knotty statistical problems involved in these efforts, primarily as a result of the small sample sizes involved and the impossibility of sampling every possible larval source.  With the help of several collaborators, I have adapted and refined existing statistical techniques to better deal with these issues. 

Currently this work is done in collaboration with Seth Miller and Steven Morgan at UC Davis, examining patterns of larval dispersal in intertidal crabs, and with Scott Hamilton and Bob Warner at UCSB, examining dispersal in kelp bass and other nearshore larval fish species.


Publications

Miller SH, Morgan SG, White JW, Green PG. Can trace element signatures in larval soft tissues reveal dispersal and population connectivity? In review, Marine Ecology Progress Series

Miller SH, Morgan SG, White JW, Green PG. 2013. Interannual variability in an atlas of trace element signatures for determining population connectivity. Marine Ecology Progress Series 474: 179-190

Standish JD, White JW, and Warner RR. 2011. The spatial pattern of natal signatures in the otoliths of juvenile Sebastes atrovirens along the California coast. Marine Ecology Progress Series 437: 279-290

White JW, Standish JD, Thorrold SR, and Warner RR.  2008.  Markov chain – Monte Carlo methods for assignment of natal origins and mixed-stock analysis using natural geochemical tags.  Ecological Applications 18:1901-1913
software

White JW and Ruttenberg BI.  2007.  Discriminant function analysis in marine ecology: some common oversights and their solutions.  Marine Ecology Progress Series 329: 301-305
software


Miscellaneous ongoing projects

I am generally interested in the application of quantitative methods and population models to questions in population and community ecology.  In that spirit, I have ongoing (mostly unfunded) collaborations with researchers in a range of fields.

Cyclic population dynamics of Pacific salmon stocks
With Loo Botsford, Alan Hastings, and Matt Holland, UC Davis; funded by NSF GLOBEC.
A curious and well-known characteristic of sockeye salmon stocks in the Fraser River watershed in British Columbia is a cyclic pattern of spawner abundance, usually with a strong peak once every four years.  Understanding the mechanisms that initiate and sustain these cycles would be useful to the management of the sockeye fishery and will be essential to predicting how these stocks will respond to large-scale environmental shifts, including the Pacific Decadal Oscillation and anthropogenic climate change.  Our group is using a combination of analytical and simulation models to explore the sources of population cycles in sockeye stocks from the Fraser River and other watersheds (e.g., Bristol Bay, Alaska).

Publications
Botsford, LW, Holland MD, Samhouri JF, White JW, Hastings A. 2011. Importance of age structure in models of the response of upper trophic levels to fishing and climate change.  ICES Journal of Marine Science 68: 1270-1283

White JW, Botsford LW, Hastings A, Holland MD. Stochastic models reveal conditions for cyclic dominance in sockeye salmon populations. In review, Ecological Monographs

Spatial variability in recruitment and population dynamics of oysters
With David Kimbro, Florida State University. 
We are using a multi-year dataset of oyster density in Tomales Bay, CA, to examine the relative influence of spatial variability in both recruitment and mortality on population dynamics in a tidal estuary.

Nearshore oceanography and larval transport
With Kerry Nickols and John Largier, UC Davis Bodega Marine Lab.
Emerging evidence suggests that the region of slow-moving currents in the extreme nearshore (within ~1-2 km of the coastline) might be where many marine larvae spend their entire pelagic period.  Consequently, accounting for oceanography in this zone may be of particular importance, yet it is typically ignored by most large-scale descriptions of larval transport.  We are using disperal simulations and population models to explore the consequences of flow in this region.

Publications
White JW, Nickols KJ, Clarke L, Largier JL. 2010. Population effects of larval entrainment in cooling water intakes: spatially explicit models reveal shortcomings of traditional assessments. Canadian Journal of Fisheries and Aquatic Sciences 67: 2014-2031

Improving field estimation of pelagic larval mortality
With Steven Morgan and Jennifer Fisher, UC Davis Bodega Marine Lab. 
Pelagic mortality is a major factor affecting the dispersal of planktonic larvae of benthic organisms. Unfortunately, existing mortality estimation methods rely on large-scale sampling regimes which are difficult to implement for nearshore samples of meroplankton.  We have developed an estimation method that builds on existing vertical life table methods but accounts for the patchy spatial distribution of plankton to produce reliable mortality estimates using data collected at small spatial scales.


Miscellaneous completed projects

Population dynamics of invasive species in fouling communities
With Cascade Sorte, UC Davis Bodega Marine Lab & UMass Boston
Cascade has conducted a series of experiments to indentify interaction strengths among invasive and native species in fouling communities in San Francisco Bay.  Together we are using multispecies population models to identify stable community trajectories and examine how they might be altered by climate change.

Publications
Sorte CJB, JW White. Competitive and demographic leverage points of community shifts under climate change. In review, Proceedings of the Royal Society (B)


All text and images (except UNCW logo) copyright 2010 JW White

Last modified 24 July 2012