@article{WangHeWangetal.2022,
  author    = {Wang, Enli and He, Di and Wang, Jing and Lilley, Julianne M. and Christy, Brendan and Hoffmann, Munir P. and O'Leary, Garry and Hatfield, Jerry L. and Ledda, Luigi and Deligios, Paola A. and Grant, Brian and Jing, Qi and Nendel, Claas and Kage, Henning and Qian, Budong and Rezaei, Ehsan Eyshi and Smith, Ward and Weymann, Wiebke and Ewert, Frank},
  title     = {How reliable are current crop models for simulating growth and seed yield of canola across global sites and under future climate change?},
  series = {Climatic change},
  volume    = {172},
  journal   = {Climatic change},
  number    = {1-2},
  publisher = {Springer Nature},
  address   = {Dordrecht},
  issn      = {0165-0009},
  doi       = {10.1007/s10584-022-03375-2},
  pages     = {22},
  year      = {2022},
  abstract  = {To better understand how climate change might influence global canola production, scientists from six countries have completed the first inter-comparison of eight crop models for simulating growth and seed yield of canola, based on experimental data from six sites across five countries. A sensitivity analysis was conducted with a combination of five levels of atmospheric CO2 concentrations, seven temperature changes, five precipitation changes, together with five nitrogen application rates. Our results were in several aspects different from those of previous model inter-comparison studies for wheat, maize, rice, and potato crops. A partial model calibration only on phenology led to very poor simulation of aboveground biomass and seed yield of canola, even from the ensemble median or mean. A full calibration with additional data of leaf area index, biomass, and yield from one treatment at each site reduced simulation error of seed yield from 43.8 to 18.0\%, but the uncertainty in simulation results remained large. Such calibration (with data from one treatment) was not able to constrain model parameters to reduce simulation uncertainty across the wide range of environments. Using a multi-model ensemble mean or median reduced the uncertainty of yield simulations, but the simulation error remained much larger than observation errors, indicating no guarantee that the ensemble mean/median would predict the correct responses. Using multi-model ensemble median, canola yield was projected to decline with rising temperature (2.5-5.7\% per degrees C), but to increase with increasing CO2 concentration (4.6-8.3\% per 100-ppm), rainfall (2.1-6.1\% per 10\% increase), and nitrogen rates (1.3-6.0\% per 10\% increase) depending on locations. Due to the large uncertainty, these results need to be treated with caution. We further discuss the need to collect new data to improve modelling of several key physiological processes of canola for increased confidence in future climate impact assessments.},
  language  = {en}
}
@article{McHuronAdamczakArnouldetal.2022,
  author    = {McHuron, Elizabeth A. and Adamczak, Stephanie and Arnould, John P. Y. and Ashe, Erin and Booth, Cormac and Bowen, W. Don and Christiansen, Fredrik and Chudzinska, Magda and Costa, Daniel P. and Fahlman, Andreas and Farmer, Nicholas A. and Fortune, Sarah M. E. and Gallagher, Cara A. and Keen, Kelly A. and Madsen, Peter T. and McMahon, Clive R. and Nabe-Nielsen, Jacob and Noren, Dawn P. and Noren, Shawn R. and Pirotta, Enrico and Rosen, David A. S. and Speakman, Cassie N. and Villegas-Amtmann, Stella and Williams, Rob},
  title     = {Key questions in marine mammal bioenergetics},
  series = {Conservation physiology},
  volume    = {10},
  journal   = {Conservation physiology},
  number    = {1},
  publisher = {Oxford Univ. Press},
  address   = {Oxford},
  issn      = {2051-1434},
  doi       = {10.1093/conphys/coac055},
  pages     = {17},
  year      = {2022},
  abstract  = {Bioenergetic approaches are increasingly used to understand how marine mammal populations could be affected by a changing and disturbed aquatic environment. There remain considerable gaps in our knowledge of marine mammal bioenergetics, which hinder the application of bioenergetic studies to inform policy decisions. We conducted a priority-setting exercise to identify high-priority unanswered questions in marine mammal bioenergetics, with an emphasis on questions relevant to conservation and management. Electronic communication and a virtual workshop were used to solicit and collate potential research questions from the marine mammal bioenergetic community. From a final list of 39 questions, 11 were identified as 'key'questions because they received votes from at least 50\% of survey participants. Key questions included those related to energy intake (prey landscapes, exposure to human activities) and expenditure (field metabolic rate, exposure to human activities, lactation, time-activity budgets), energy allocation priorities, metrics of body condition and relationships with survival and reproductive success and extrapolation of data from one species to another. Existing tools to address key questions include labelled water, animal-borne sensors, mark-resight data from long-term research programs, environmental DNA and unmanned vehicles. Further validation of existing approaches and development of new methodologies are needed to comprehensively address some key questions, particularly for cetaceans. The identification of these key questions can provide a guiding framework to set research priorities, which ultimately may yield more accurate information to inform policies and better conserve marine mammal populations.},
  language  = {en}
}