Lifei Wang

Dr. Lifei Wang

University of Toronto, Toronto, Ontario, Canada
orcid

Research Focus & Metrics

Academic Career Length

16Years (2011-Present)

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

Representative Publications

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1 October 2018 in Trends in Ecology & Evolution
Verified
Journal Article
Open access
KYKatherine L. Yates
Katherine L. Yates
PBPhil J. Bouchet
Phil J. Bouchet
MCM. Julian Caley
M. Julian Caley
KMKerrie Mengersen
Kerrie Mengersen
CRChristophe F. Randin
Christophe F. Randin
ASAna M.M. Sequeira
Ana M.M. Sequeira
Predictive models are central to many scientific disciplines and vital for informing management in a rapidly changing world. However, limited understanding of the accuracy and precision of models transferred to novel conditions (their 'transferability') undermines confidence in their predictions. Here, 50 experts identified priority knowledge gaps which, if filled, will most improve model transfers. These are summarized into six technical and six fundamental challenges, which underlie the combined need to intensify research on the determinants of ecological predictability, including species traits and data quality, and develop best practices for transferring models. Of high importance is the identification of a widely applicable set of transferability metrics, with appropriate tools to quantify the sources and impacts of prediction uncertainty under novel conditions.

19 June 2018 in Fisheries Oceanography
Verified
Journal Article
Closed access
PDF file
Lifei WangLifei Wang
Lifei Wang
LKLisa A. Kerr
Lisa A. Kerr
NRNicholas R. Record
Nicholas R. Record
EBEric Bridger
Eric Bridger
BTBenjamin Tupper
Benjamin Tupper
APAndrew J. Pershing
Andrew J. Pershing

6 January 2022 in Environmental Science and Pollution Research
Verified
Journal Article
Closed access
PDF file
Lifei WangLifei Wang
Lifei Wang
XWXuefeng Wang
Xuefeng Wang
HCHaigang Chen
Haigang Chen
ZWZenghuan Wang
Zenghuan Wang
XJXiaoping Jia
Xiaoping Jia


1 June 2019 in Trends in Ecology & Evolution
Verified
Journal Article
Closed access
PBPhil J. Bouchet
Phil J. Bouchet
APA.Townsend Peterson
A.Townsend Peterson
DZDamaris Zurell
Damaris Zurell
CDCarsten F. Dormann
Carsten F. Dormann
DSDavid Schoeman
David Schoeman
KYKatherine L. Yates
Katherine L. Yates

12 October 2022 in Frontiers in Marine Science
Verified
Journal Article
Open access
YGYixin Gu
Yixin Gu
SLShaoliang Lyu
Shaoliang Lyu
Lifei WangLifei Wang
Lifei Wang
ZCZhijie Chen
Zhijie Chen
XWXuefeng Wang
Xuefeng Wang
The ocean has considerable potential to function as a carbon sink, absorbing anthropogenic CO2 and buffering the effects of climate change. How the culture of shellfish can be used to increase the ocean carbon sink warrants evaluation. We analyze the production and carbon sink capacity of six important mariculture shellfish species (oyster, ark clam, mussel, scallop, clam, and razor clam) in nine coastal provinces of China from 1981–2020 using quality assessment and logarithmic mean Divisia index (LMDI) decomposition methods. Over this time period both cultured shellfish production and its contribution to the carbon sink generally increase, averaging approximately 600,000 t annually over the last four decades. Both the annual production and carbon sink capacity of China’s mariculture shellfish industry vary geographically. The total annual tonnage (scale) of cultured shellfish, and to a lesser extent, coastal shellfish species composition (structure) influence carbon sink capacity, and affect China’s plans to achieve “dual carbon goals.” Combining historical analysis and the LMDI method, we propose a scheme that optimally and more sustainably manages China’s culture of shellfish.