The influence of pre-fire growth patterns on post-fire tree mortality for common conifers in western US parks
Phillip J. van Mantgem A D , Donald A. Falk B , Emma C. Williams B , Adrian J. Das C and Nathan L. Stephenson C
+ Author Affiliations
- Author Affiliations
A US Geological Survey, Western Ecological Research Center, 1655 Heindon Road, Arcata, CA 95521, USA.
B University of Arizona, School of Natural Resources and the Environment, 1064 E. Lowell Street, Tucson, AZ 85721, USA.
C US Geological Survey, Western Ecological Research Center, 47050 Generals Highway #4, Three Rivers, CA 93271, USA.
D Corresponding author. Email: pvanmantgem@usgs.gov
International Journal of Wildland Fire 29(6) 513-518 https://doi.org/10.1071/WF19020
Submitted: 7 February 2019 Accepted: 21 December 2019 Published: 6 February 2020
Abstract
Fire severity in forests is often defined in terms of post-fire tree mortality, yet the influences on tree mortality following fire are not fully understood. Pre-fire growth may serve as an index of vigour, indicating resource availability and the capacity to recover from injury and defend against pests. For trees that are not killed immediately by severe fire injury, tree growth patterns could therefore partially predict post-fire mortality probabilities. Here, we consider the influence of multiple growth patterns on post-fire tree mortality for three common conifer species in the western USA. Using observations from 1 to 9 years following prescribed fires in USA national parks across five western states, we show that post-fire conifer mortality was related not only to fire-caused injuries (crown scorch and bole char), but also to average growth rate and long-term (25 years) growth patterns (counts of abrupt growth declines and possibly growth trends). Our results suggest that pre-fire conditions affecting tree vigour may influence post-fire tree mortality probabilities. Environmental conditions (such as rising temperatures and moisture stress), independent of fire intensity, may thus cause expressed fire severity to increase in western forests.
Additional keywords: dendrochronology, ecosystems, temperate, fire management, fire severity.
References
Allen CD, Breshears DD, McDowell NG (2015) On underestimation of global vulnerability to tree mortality and forest die-off from hotter drought in the Anthropocene. Ecosphere 6, art129| On underestimation of global vulnerability to tree mortality and forest die-off from hotter drought in the Anthropocene.Crossref | GoogleScholarGoogle Scholar |
Cailleret M, Jansen S, Robert EMR, Desoto L, Aakala T, Antos JA, Beikircher B, Bigler C, Bugmann H, Caccianiga M, Čada V, Camarero JJ, Cherubini P, Cochard H, Coyea MR, Čufar K, Das AJ, Davi H, Delzon S, Dorman M, Gea-Izquierdo G, Gillner S, Haavik LJ, Hartmann H, Hereş A-M, Hultine KR, Janda P, Kane JM, Kharuk VI, Kitzberger T, Klein T, Kramer K, Lens F, Levanic T, Linares Calderon JC, Lloret F, Lobo-Do-Vale R, Lombardi F, López Rodríguez R, Mäkinen H, Mayr S, Mészáros I, Metsaranta JM, Minunno F, Oberhuber W, Papadopoulos A, Peltoniemi M, Petritan AM, Rohner B, Sangüesa-Barreda G, Sarris D, Smith JM, Stan AB, Sterck F, Stojanović DB, Suarez ML, Svoboda M, Tognetti R, Torres-Ruiz JM, Trotsiuk V, Villalba R, Vodde F, Westwood AR, Wyckoff PH, Zafirov N, Martínez-Vilalta J (2017) A synthesis of radial growth patterns preceding tree mortality. Global Change Biology 23, 1675–1690.
| A synthesis of radial growth patterns preceding tree mortality.Crossref | GoogleScholarGoogle Scholar | 27759919PubMed |
Das AJ, Stephenson NL (2015) Improving estimates of tree mortality probability using potential growth rate. Canadian Journal of Forest Research 45, 920–928.
| Improving estimates of tree mortality probability using potential growth rate.Crossref | GoogleScholarGoogle Scholar |
Das A, Battles J, Stephenson NL, van Mantgem PJ (2007) The relationship between tree growth patterns and likelihood of mortality: a study of two tree species in the Sierra Nevada. Canadian Journal of Forest Research 37, 580–597.
| The relationship between tree growth patterns and likelihood of mortality: a study of two tree species in the Sierra Nevada.Crossref | GoogleScholarGoogle Scholar |
Das AJ, Stephenson NL, Davis KP (2016) Why do trees die? Characterizing the drivers of background tree mortality. Ecology 97, 2616–2627.
| Why do trees die? Characterizing the drivers of background tree mortality.Crossref | GoogleScholarGoogle Scholar | 27859135PubMed |
Dietze MC, Sala A, Carbone MS, Czimczik CI, Mantooth JA, Richardson AD, Vargas R (2014) Nonstructural carbon in woody plants. Annual Review of Plant Biology 65, 667–687.
| Nonstructural carbon in woody plants.Crossref | GoogleScholarGoogle Scholar | 24274032PubMed |
Dobbertin M (2005) Tree growth as indicator of tree vitality and of tree reaction to environmental stress: a review. European Journal of Forest Research 124, 319–333.
| Tree growth as indicator of tree vitality and of tree reaction to environmental stress: a review.Crossref | GoogleScholarGoogle Scholar |
Evans ME, Falk DA, Arizpe A, Swetnam TL, Babst F, Holsinger KE (2017) Fusing tree‐ring and forest inventory data to infer influences on tree growth. Ecosphere 8, e01889
| Fusing tree‐ring and forest inventory data to infer influences on tree growth.Crossref | GoogleScholarGoogle Scholar |
Ferrenberg S, Kane JM, Mitton JB (2014) Resin duct characteristics associated with tree resistance to bark beetles across lodgepole and limber pines. Oecologia 174, 1283–1292.
| Resin duct characteristics associated with tree resistance to bark beetles across lodgepole and limber pines.Crossref | GoogleScholarGoogle Scholar | 24305863PubMed |
Franklin JF, Shugart HH, Harmon ME (1987) Tree death as an ecological process. Bioscience 37, 550–556.
| Tree death as an ecological process.Crossref | GoogleScholarGoogle Scholar |
Gelman A, Hill J (2007) ‘Data analysis using regression and multilevel/hierarchical models.’ (Cambridge University Press: New York, NY, USA)
Grissino-Mayer HD (2001) Research report evaluating crossdating accuracy: a manual and tutorial for the computer program COFECHA. Tree-Ring Research 57, 205–221.
Hood S, Sala A, Heyerdahl EK, Boutin M (2015) Low‐severity fire increases tree defense against bark beetle attacks. Ecology 96, 1846–1855.
| Low‐severity fire increases tree defense against bark beetle attacks.Crossref | GoogleScholarGoogle Scholar | 26378307PubMed |
Hood SM, Varner JM, van Mantgem P, Cansler CA (2018) Fire and tree death: understanding and improving modeling of fire-induced tree mortality. Environmental Research Letters 13, 113004
| Fire and tree death: understanding and improving modeling of fire-induced tree mortality.Crossref | GoogleScholarGoogle Scholar |
Hosmer DW, Lemeshow S (2000) ‘Applied logistic regression.’ (John Wiley & Sons: New York, NY, USA)
Jolly WM, Cochrane MA, Freeborn PH, Holden ZA, Brown TJ, Williamson GJ, Bowman DM (2015) Climate-induced variations in global wildfire danger from 1979 to 2013. Nature Communications 6, 7537
| Climate-induced variations in global wildfire danger from 1979 to 2013.Crossref | GoogleScholarGoogle Scholar | 26172867PubMed |
Key CH (2006) Ecological and sampling constraints on defining landscape fire severity. Fire Ecology 2, 34–59.
| Ecological and sampling constraints on defining landscape fire severity.Crossref | GoogleScholarGoogle Scholar |
Kitzberger T, Falk DA, Westerling AL, Swetnam TW (2017) Direct and indirect climate controls predict heterogeneous early-mid 21st century wildfire burned area across western and boreal North America. PLoS One 12, e0188486
| Direct and indirect climate controls predict heterogeneous early-mid 21st century wildfire burned area across western and boreal North America.Crossref | GoogleScholarGoogle Scholar | 29244839PubMed |
Knapp EE, Keeley JE (2006) Heterogeneity in fire severity within early season and late season prescribed burns in a mixed-conifer forest. International Journal of Wildland Fire 15, 37–45.
| Heterogeneity in fire severity within early season and late season prescribed burns in a mixed-conifer forest.Crossref | GoogleScholarGoogle Scholar |
Körner C (2015) Paradigm shift in plant growth control. Current Opinion in Plant Biology 25, 107–114.
| Paradigm shift in plant growth control.Crossref | GoogleScholarGoogle Scholar | 26037389PubMed |
Linares JC, Camarero JJ, Carreira JA (2010) Competition modulates the adaptation capacity of forests to climatic stress: insights from recent growth decline and death in relict stands of the Mediterranean fir Abies pinsapo. Journal of Ecology 98, 592–603.
| Competition modulates the adaptation capacity of forests to climatic stress: insights from recent growth decline and death in relict stands of the Mediterranean fir Abies pinsapo.Crossref | GoogleScholarGoogle Scholar |
Link W, Barker R (2010) ‘Bayesian inference with ecological examples.’ (Academic Press: San Diego, CA, USA)
Miller JD, Thode AE (2007) Quantifying burn severity in a heterogeneous landscape with a relative version of the delta Normalized Burn Ratio (dNBR). Remote Sensing of Environment 109, 66–80.
| Quantifying burn severity in a heterogeneous landscape with a relative version of the delta Normalized Burn Ratio (dNBR).Crossref | GoogleScholarGoogle Scholar |
Nesmith JCB, Das AJ, O’Hara KL, van Mantgem PJ (2015) The influence of prefire tree growth and crown condition on postfire mortality of sugar pine following prescribed fire in Sequoia National Park. Canadian Journal of Forest Research 45, 910–919.
| The influence of prefire tree growth and crown condition on postfire mortality of sugar pine following prescribed fire in Sequoia National Park.Crossref | GoogleScholarGoogle Scholar |
NPS (2003) ‘Fire monitoring handbook.’ (Fire Management Program Center, National Interagency Fire Center: Boise, ID, USA)
Speer JH (2010) ‘Fundamentals of tree-ring research.’ (University of Arizona Press: Tucson, AZ, USA)
Plummer M (2018) rjags: Bayesian Graphical Models using MCMC. R package version 4-8. https://CRAN.R-project.org/package=rjags [Verified 9 January 2020]
Stephens SL, Finney MA (2002) Prescribed fire mortality of Sierra Nevada mixed conifer tree species: effects of crown damage and forest floor combustion. Forest Ecology and Management 162, 261–271.
Stephenson NL, Das AJ, Ampersee NJ, Bulaon BM, Yee JL (2019) Which trees die during drought? The key role of insect host–tree selection. Journal of Ecology 107, 2383–2401.
| Which trees die during drought? The key role of insect host–tree selection.Crossref | GoogleScholarGoogle Scholar |
Su Y, Yajima M (2015) R2jags: Using R to Run ‘JAGS’. R package version 0.5-7. https://CRAN.R-project.org/package=R2jags [Verified 9 January 2020]
van Mantgem PJ, Stephenson NL, Mutch LS, Johnson VG, Esperanza AM, Parsons DJ (2003) Growth rate predicts mortality of Abies concolor in both burned and unburned stands. Canadian Journal of Forest Research 33, 1029–1038.
| Growth rate predicts mortality of Abies concolor in both burned and unburned stands.Crossref | GoogleScholarGoogle Scholar |
van Mantgem PJ, Stephenson NL, Battles JJ, Knapp E, Keeley JE (2011) Long-term effects of prescribed fire on mixed conifer forest structure in the Sierra Nevada, California. Forest Ecology and Management 261, 989–994.
| Long-term effects of prescribed fire on mixed conifer forest structure in the Sierra Nevada, California.Crossref | GoogleScholarGoogle Scholar |
van Mantgem PJ, Nesmith JCB, Keifer M, Knapp EE, Flint A, Flint L (2013) Climatic stress increases forest fire severity across the western United States. Ecology Letters 16, 1151–1156.
| Climatic stress increases forest fire severity across the western United States.Crossref | GoogleScholarGoogle Scholar | 23869626PubMed |
van Mantgem PJ, Falk DA, Williams EC, Das AJ, Stephenson NL (2018) Pre-fire drought and competition mediate post-fire conifer mortality in western U.S. National Parks. Ecological Applications 28, 1730–1739.
| Pre-fire drought and competition mediate post-fire conifer mortality in western U.S. National Parks.Crossref | GoogleScholarGoogle Scholar | 30151923PubMed |
Waring RH (1987) Characteristics of trees predisposed to die. Bioscience 37, 569–574.
| Characteristics of trees predisposed to die.Crossref | GoogleScholarGoogle Scholar |
Waring RH, Thies W, Muscato D (1980) Stem growth per unit of leaf area: a measure of tree vigor. Forest Science 26, 112–117.
Whittier TR, Gray AN (2016) Tree mortality based fire severity classification for forest inventories: a Pacific Northwest national forests example. Forest Ecology and Management 359, 199–209.
| Tree mortality based fire severity classification for forest inventories: a Pacific Northwest national forests example.Crossref | GoogleScholarGoogle Scholar |
Yu H, Wiegand T, Yang X, Ci L (2009) The impact of fire and density-dependent mortality on the spatial patterns of a pine forest in the Hulun Buir sandland, Inner Mongolia, China. Forest Ecology and Management 257, 2098–2107.
| The impact of fire and density-dependent mortality on the spatial patterns of a pine forest in the Hulun Buir sandland, Inner Mongolia, China.Crossref | GoogleScholarGoogle Scholar |
