GreuelDegreTimmonsBaltzerEtAl2021

Référence

Greuel, R.J., Degré-Timmons, G.É., Baltzer, J.L., Johnstone, J.F., McIntire, E.J.B., Day, N.J., Hart, S.J., McLoughlin, P.D., Schmiegelow, F.K.A., Turetsky, M.R., Truchon-Savard, A., van Telgen, M.D., Cumming, S.G. (2021) Predicting patterns of terrestrial lichen biomass recovery following boreal wildfires. Ecosphere, 12(4). (Scopus )

Résumé

Increased fire activity due to climate change may impact the successional dynamics of boreal forests, with important consequences for caribou habitat. Early successional forests have been shown to support lower quantities of caribou forage lichens, but geographic variation in, and controls on, the rates of lichen recovery has been largely unexplored. In this study, we sampled across a broad region in northwestern Canada to compare lichen biomass accumulation in ecoprovinces, including the Saskatchewan Boreal Shield, the Northwest Territories Taiga Shield, and Northwest Territories Taiga Plains, divided into North and South. We focused on the most valuable Cladonia species for boreal and barren-ground caribou: Cladonia mitis and C. arbuscula, C. rangiferina and C. stygia, and C. stellaris and C. uncialis. We developed new allometric equations to estimate lichen biomass from field measurements of lichen cover and height; allometries were consistent among ecoprovinces, suggesting generalizability. We then used estimates of lichen biomass to quantify patterns of lichen recovery in different stand types, ecoprovinces, and with time following stand-replacing fire. We used a hurdle model to account both for the heterogeneous nature of lichen presence (zero inflation) and for the range of abundance in stands where lichen was present. The first component of the hurdle model, a generalized linear model, identified stand age, stand type, and ecoprovince as significant predictors of lichen presence. With a logistic growth model, a measure of lichen recovery (time to 50% asymptotic value) varied from 28 to 73 yr, dependent on stand type and ecoprovince. The combined predictions of the hurdle model suggest the most rapid recovery of lichen biomass across our study region occurred in jack pine in the Boreal Shield (30 yr), while stands located in the Taiga Plains (North and South) required a longer recovery period (approximately 75 yr). These results provide a basis for estimating future caribou habitat that encompasses some of the large variation in fire effects on lichen abundance and vegetation types across the range of boreal and barren-ground caribou in North America. © 2021 The Authors.

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@ARTICLE { GreuelDegreTimmonsBaltzerEtAl2021,
    AUTHOR = { Greuel, R.J. and Degré-Timmons, G.É. and Baltzer, J.L. and Johnstone, J.F. and McIntire, E.J.B. and Day, N.J. and Hart, S.J. and McLoughlin, P.D. and Schmiegelow, F.K.A. and Turetsky, M.R. and Truchon-Savard, A. and van Telgen, M.D. and Cumming, S.G. },
    JOURNAL = { Ecosphere },
    TITLE = { Predicting patterns of terrestrial lichen biomass recovery following boreal wildfires },
    YEAR = { 2021 },
    NOTE = { cited By 0 },
    NUMBER = { 4 },
    VOLUME = { 12 },
    ABSTRACT = { Increased fire activity due to climate change may impact the successional dynamics of boreal forests, with important consequences for caribou habitat. Early successional forests have been shown to support lower quantities of caribou forage lichens, but geographic variation in, and controls on, the rates of lichen recovery has been largely unexplored. In this study, we sampled across a broad region in northwestern Canada to compare lichen biomass accumulation in ecoprovinces, including the Saskatchewan Boreal Shield, the Northwest Territories Taiga Shield, and Northwest Territories Taiga Plains, divided into North and South. We focused on the most valuable Cladonia species for boreal and barren-ground caribou: Cladonia mitis and C. arbuscula, C. rangiferina and C. stygia, and C. stellaris and C. uncialis. We developed new allometric equations to estimate lichen biomass from field measurements of lichen cover and height; allometries were consistent among ecoprovinces, suggesting generalizability. We then used estimates of lichen biomass to quantify patterns of lichen recovery in different stand types, ecoprovinces, and with time following stand-replacing fire. We used a hurdle model to account both for the heterogeneous nature of lichen presence (zero inflation) and for the range of abundance in stands where lichen was present. The first component of the hurdle model, a generalized linear model, identified stand age, stand type, and ecoprovince as significant predictors of lichen presence. With a logistic growth model, a measure of lichen recovery (time to 50% asymptotic value) varied from 28 to 73 yr, dependent on stand type and ecoprovince. The combined predictions of the hurdle model suggest the most rapid recovery of lichen biomass across our study region occurred in jack pine in the Boreal Shield (30 yr), while stands located in the Taiga Plains (North and South) required a longer recovery period (approximately 75 yr). These results provide a basis for estimating future caribou habitat that encompasses some of the large variation in fire effects on lichen abundance and vegetation types across the range of boreal and barren-ground caribou in North America. © 2021 The Authors. },
    AFFILIATION = { Department of Biology, University of Saskatchewan, Saskatoon, SK, Canada; Department of Biology, Wilfrid Laurier University, Waterloo, ON, Canada; Department of Wood and Forest Sciences, Laval University, Quebec City, QC, Canada; Institute of Arctic Biology, University of Alaska Fairbanks, Fairbanks, AK, United States; Canadian Forest Service, Pacific Forestry Centre, Natural Resources Canada, Victoria, BC, Canada; School of Biological Sciences, Victoria University of Wellington, Wellington, New Zealand; Department of Forest and Wildlife Ecology, University of Wisconsin-Madison, Madison, WI, United States; Department of Renewable Resources, University of Alberta, Edmonton, AB, Canada; Department of Integrative Biology, University of Guelph, Guelph, ON, Canada; Institute of Arctic and Alpine Research, University of Colorado, Boulder, CO, United States },
    ART_NUMBER = { e03481 },
    AUTHOR_KEYWORDS = { Caribou forage; chronosequence; Cladonia; hurdle model; natural disturbance; nonlinear mixed-effects models; Rangifer; wildfire; zero-inflated distribution },
    DOCUMENT_TYPE = { Article },
    DOI = { 10.1002/ecs2.3481 },
    SOURCE = { Scopus },
    URL = { https://www.scopus.com/inward/record.uri?eid=2-s2.0-85105104040&doi=10.1002%2fecs2.3481&partnerID=40&md5=6037ebcf90638e0fa93fd3c6a67fb56c },
}

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