A large database supports the use of simple models of post-fire tree mortality for thick-barked conifers, with less support for other species

Cansler, C. Alina; Hood, Sharon M.; van Mantgem, Phillip J.; Varner, J. Morgan

doi:10.1186/s42408-020-00082-0

Fire Ecology

Table 3 Species for which we evaluate model accuracy, and their taxonomic groups, distribution in North America, and fire-adaptive traits. Species-specific models that include bark thickness coefficient (BT_coef) used the same BT_coef listed here. DBH = diameter at breast height. Ellipsis (...) = unknown. Nomenclature according to USDA PLANTS database. Data are from the USA, from fires occurring from 1981 to 2016

From: A large database supports the use of simple models of post-fire tree mortality for thick-barked conifers, with less support for other species

Scientific name	Authority	Common name	Family	Region^a	Leaf habit^a	BT_coef
Gymnosperms
Abies amabilis	(Douglas ex Loudon) Douglas ex Forbes	Pacific silver fir	Pinaceae	W	EG	0.047
Abies concolor	(Gord. & Glend.) Lindl. ex Hildebr.	white fir	Pinaceae	W	EG	0.048
Abies grandis	(Douglas ex D. Don) Lindl.	grand fir	Pinaceae	W	EG	0.046
Abies lasiocarpa	(Hook.) Nutt.	subalpine fir	Pinaceae	W	EG	0.041
Abies magnifica	A. Murray bis	California red fir	Pinaceae	W	EG	0.039
Calocedrus decurrens	(Torr.) Florin	incense-cedar	Cupressaceae	W	EG	0.060
Chamaecyparis lawsoniana	(A. Murray bis) Parl.	Port Orford cedar	Cupressaceae	W	EG	0.081
Juniperus deppeana	Steud.	alligator juniper	Cupressaceae	W	EG	0.033^b
Juniperus occidentalis	Hook.	western juniper	Cupressaceae	W	EG	0.025
Juniperus osteosperma	(Torr.) Little	Utah juniper	Cupressaceae	W	EG	0.025^c
Juniperus scopulorum	Sarg.	Rocky Mountain juniper	Cupressaceae	W	EG	0.025^c
Larix occidentalis	Nutt.	western larch	Pinaceae	W	DC	0.063
Picea engelmannii	Parry ex Engelm.	Engelmann spruce	Pinaceae	W	EG	0.036
Pinus albicaulis	Engelm.	whitebark pine	Pinaceae	W	EG	0.030
Pinus attenuata	Lemmon	knobcone pine	Pinaceae	W	EG	0.030
Pinus contorta	Douglas ex Loudon	lodgepole pine	Pinaceae	W	EG	0.028
Pinus coulteri	D. Don	Coulter pine	Pinaceae	W	EG	0.068^d
Pinus echinata	Mill.	shortleaf pine	Pinaceae	E	EG	0.037
Pinus edulis	Engelm.	two-needle pinyon	Pinaceae	W	EG	0.030^e
Pinus elliottii	Engelm.	slash pine	Pinaceae	E	EG	0.055
Pinus flexilis	James	limber pine	Pinaceae	W	EG	0.030
Pinus jeffreyi	Balf.	Jeffrey pine	Pinaceae	W	EG	0.068
Pinus lambertiana	Douglas	sugar pine	Pinaceae	W	EG	0.072
Pinus monticola	Douglas ex D. Don	western white pine	Pinaceae	W	EG	0.035
Pinus palustris	Mill.	longleaf pine	Pinaceae	E	EG	0.435 + 0.031(DBH)^f
Pinus ponderosa	Lawson & C. Lawson	ponderosa pine	Pinaceae	W	EG	0.063
Pinus strobiformis	Engelm.	southwestern white pine	Pinaceae	W	EG	0.03^e
Pinus taeda	L.	loblolly pine	Pinaceae	E	EG	0.052
Pinus virginiana	Mill.	Virginia pine	Pinaceae	E	EG	0.033
Pseudotsuga menziesii	(Mirb.) Franco	Douglas-fir	Pinaceae	W	EG	0.063
Thuja plicata	Donn ex D. Don	western redcedar	Cupressaceae	W	EG	0.035
Tsuga heterophylla	(Raf.) Sarg.	western hemlock	Pinaceae	W	EG	0.040
Tsuga mertensiana	(Bong.) Carrière	mountain hemlock	Pinaceae	W	EG	0.040
Angiosperms
Acer rubrum	L.	red maple	Aceraceae	E	DC	0.028
Cornus nuttallii	Audubon ex Torr. & A. Gray	Pacific dogwood	Cornaceae	W	DC	0.062
Notholithocarpus densiflorus	(Hook. & Arn.) P.S. Manos, C.H. Cannon, & S.H. Oh	tanoak	Fagaceae	W	EG	0.052
Oxydendrum arboreum	(L.) DC.	sourwood	Ericaceae	E	DC	0.036
Populus deltoides ssp. wislizeni^g	W. Bartram ex Marshall	Rio Grande cottonwood	Salicaceae	C	DC	0.040^h
Populus tremuloides	Michx.	quaking aspen	Salicaceae	C	DC	0.044
Quercus alba	L.	white oak	Fagaceae	E	DC	0.040
Quercus gambelii	Nutt.	Gambel oak	Fagaceae	W	DC	0.045ⁱ
Quercus garryana	Douglas ex Hook.	Oregon white oak	Fagaceae	W	DC	0.029
Quercus kelloggii	Newberry	California black oak	Fagaceae	W	DC	0.030
Quercus montana	Willd.	chestnut oak	Fagaceae	E	DC	0.049

^aRegion and Leaf habit were derived from Plants National Database (USDA NRCS 2019). For region, Western = W, Eastern = E, Continental = C. For Leaf habit, Evergreen = EG, Deciduous = DC
^bFor Juniperus deppeana, we used the bark thickness coefficient for the genus Juniperus, because no species-specific coefficient was available
^cFor Juniperus osteosperma and Juniperus scopulorum, we used the bark thickness coefficient for Juniperus occidentalis, because no species-specific coefficients were available
^dFor Pinus coulteri, we used the bark thickness coefficient for Pinus jeffreyi, because no species-specific coefficient was available
^eFor Pinus edulis and Pinus strobiformis, we used the bark thickness coefficient for the genus Pinus, because no species-specific coefficients were available
^fWe calculated Pinus palustris bark thickness following the equation in Wang et al. (2007). For results tables and figures in which species are ordered by bark thickness coefficient, we used 0.049, which was the coefficient implemented in previous version of FOFEM (Wang et al. 2007)
^gPopulus deltoides ssp. wislizeni is a subspecies of Populus deltoides that occurs in the Rio Grande watershed. This subspecies was formally considered a subspecies of Populus fremontii, and available maps covering this subspecies’ range still include it with Populus fremontii. Genetic studies show that it has a genetic admixture from both species (Cushman et al. 2014). Therefore, we mapped the range and climatic niche space of Populus deltoides ssp. wislizeni using merged range maps for both Populus deltoides and Populus fremontii
^hFor Populus deltoides ssp. wislizeni, we used the bark thickness coefficient for Populus deltoides
ⁱFor Quercus gambelii, we used the bark thickness coefficient for the genus Quercus, because no species-specific coefficient was available

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