Julia L. Blanchard

Julia L. Blanchard

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Julia L. Blanchard

University of Tasmania

Research Focus & Metrics

Academic Career Length

24Years (2003-Present)

(Calculated once Scilit publication data is synced: current year − year of first publication + 1)

Representative Publications

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31 March 2017 in Science
Verified
Journal Article
Closed access
GPGretta T. Pecl
Gretta T. Pecl
MAMiguel B. Araújo
Miguel B. Araújo
JBJohann D. Bell
Johann D. Bell
JBJulia Blanchard
Julia Blanchard
TBTimothy C. Bonebrake
Timothy C. Bonebrake
SWStephen E. Williams
Stephen E. Williams
Consequences of shifting species distributions: Climate change is causing geographical redistribution of plant and animal species globally. These distributional shifts are leading to new ecosystems and ecological communities, changes that will affect human society. Pecl et al. review these current and future impacts and assess their implications for sustainable development goals. Science , this issue p. eaai9214

1 October 2006 in Ecology
Verified
Journal Article
Closed access
UBUlrich Brose
Ulrich Brose
TJTomas Jonsson
Tomas Jonsson
EBEric L. Berlow
Eric L. Berlow
PWPhilip Warren
Philip Warren
CBCarolin Banasek-Richter
Carolin Banasek-Richter
JCJoel E. Cohen
Joel E. Cohen

11 June 2019 in Proceedings of the National Academy of Sciences
Verified
Journal Article
Open access
PDF file
HLHeike K. Lotze
Heike K. Lotze
DTDerek P. Tittensor
Derek P. Tittensor
ABAndrea Bryndum-Buchholz
Andrea Bryndum-Buchholz
TETyler D. Eddy
Tyler D. Eddy
WCWilliam W. L. Cheung
William W. L. Cheung
BWBoris Worm
Boris Worm
While the physical dimensions of climate change are now routinely assessed through multimodel intercomparisons, projected impacts on the global ocean ecosystem generally rely on individual models with a specific set of assumptions. To address these single-model limitations, we present standardized ensemble projections from six global marine ecosystem models forced with two Earth system models and four emission scenarios with and without fishing. We derive average biomass trends and associated uncertainties across the marine food web. Without fishing, mean global animal biomass decreased by 5% (±4% SD) under low emissions and 17% (±11% SD) under high emissions by 2100, with an average 5% decline for every 1 °C of warming. Projected biomass declines were primarily driven by increasing temperature and decreasing primary production, and were more pronounced at higher trophic levels, a process known as trophic amplification. Fishing did not substantially alter the effects of climate change. Considerable regional variation featured strong biomass increases at high latitudes and decreases at middle to low latitudes, with good model agreement on the direction of change but variable magnitude. Uncertainties due to variations in marine ecosystem and Earth system models were similar. Ensemble projections performed well compared with empirical data, emphasizing the benefits of multimodel inference to project future outcomes. Our results indicate that global ocean animal biomass consistently declines with climate change, and that these impacts are amplified at higher trophic levels. Next steps for model development include dynamic scenarios of fishing, cumulative human impacts, and the effects of management measures on future ocean biomass trends.

23 February 2014 in Nature Climate Change
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Journal Article
Closed access
PDF file
MBM. Barange
M. Barange
GMG. Merino
G. Merino
JBJ. L. Blanchard
J. L. Blanchard
JSJ. Scholtens
J. Scholtens
JHJ. Harle
J. Harle
SJS. Jennings
S. Jennings

5 November 2012 in Philosophical Transactions of the Royal Society B: Biological Sciences
Verified
Journal Article
Open access
JBJulia L. Blanchard
Julia L. Blanchard
SJSimon Jennings
Simon Jennings
RHRobert Holmes
Robert Holmes
JHJames Harle
James Harle
GMGorka Merino
Gorka Merino
MBManuel Barange
Manuel Barange
Existing methods to predict the effects of climate change on the biomass and production of marine communities are predicated on modelling the interactions and dynamics of individual species, a very challenging approach when interactions and distributions are changing and little is known about the ecological mechanisms driving the responses of many species. An informative parallel approach is to develop size-based methods. These capture the properties of food webs that describe energy flux and production at a particular size, independent of species' ecology. We couple a physical–biogeochemical model with a dynamic, size-based food web model to predict the future effects of climate change on fish biomass and production in 11 large regional shelf seas, with and without fishing effects. Changes in potential fish production are shown to most strongly mirror changes in phytoplankton production. We project declines of 30–60% in potential fish production across some important areas of tropical shelf and upwelling seas, most notably in the eastern Indo-Pacific, the northern Humboldt and the North Canary Current. Conversely, in some areas of the high latitude shelf seas, the production of pelagic predators was projected to increase by 28–89%.

2 April 2018 in Nature Climate Change
Verified
Journal Article
Closed access
PDF file
RPRobert W. R. Parker
Robert W. R. Parker
JBJulia L. Blanchard
Julia L. Blanchard
CGCaleb Gardner
Caleb Gardner
BGBridget S. Green
Bridget S. Green
KHKlaas Hartmann
Klaas Hartmann
RWReg A. Watson
Reg A. Watson