Projections of fire probability and ecosystem vulnerability under 21st century climate across a trans-Andean productivity gradient in Patagonia.

Climate change Empirical fire models Fire drivers Fire return interval Fire weather Fire–productivity hypothesis General circulation models Random forests

Journal

The Science of the total environment
ISSN: 1879-1026
Titre abrégé: Sci Total Environ
Pays: Netherlands
ID NLM: 0330500

Informations de publication

Date de publication:
15 Sep 2022
Historique:
received: 22 12 2021
revised: 24 05 2022
accepted: 25 05 2022
pubmed: 3 6 2022
medline: 24 6 2022
entrez: 2 6 2022
Statut: ppublish

Résumé

Warming trends are altering fire regimes globally, potentially impacting on the long-term persistence of some ecosystems. However, we still lack clear understanding of how climatic stressors will alter fire regimes along productivity gradients. We trained a Random Forests model of fire probabilities across a 5°lat × 2° long trans-Andean rainfall gradient in northern Patagonia using a 23-year long fire record and biophysical, vegetation, human activity and seasonal fire weather predictors. The final model was projected onto mid- and late 21st century fire weather conditions predicted by an ensemble of GCMs using 4 emission scenarios. We finally assessed the vulnerability of different forest ecosystems by matching predicted fire return intervals with critical forest persistence fire return thresholds developed with landscape simulations. Modern fire activity showed the typical hump-shaped relationship with productivity and a negative distance relationship with human settlements. However, fire probabilities were far more sensitive to current season fire weather than to any other predictor. Sharp responsiveness of fire to the accelerating drier/warmer fire seasons predicted for the remainder of the 21st century in the region led to 2 to 3-fold (RCPs 4.5 and 8.5) and 3 to 8-fold increases in fire probabilities for the mid- and late 21st century, respectively. Contrary to current generalizations of larger impacts of warming on fire activity in fuel-rich ecosystems, our modeling results showed first an increase in predicted fire activity in less productive ecosystems (shrublands and steppes) and a later evenly amplified fire activity-productivity relationship with it shape resembling (at higher fire probabilities) the modern hump-shaped relationship. Despite this apparent homogeneous effect of warming on fire activity, vulnerability to predicted late 21st century shorter fire intervals were higher in most productive ecosystems (subalpine deciduous and evergreen Nothofagus-dominated rainforests) due to a general lack of fire-adapted traits in the dominant trees that compose these forests.

Identifiants

pubmed: 35654202
pii: S0048-9697(22)03400-3
doi: 10.1016/j.scitotenv.2022.156303
pii:
doi:

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Pagination

156303

Informations de copyright

Copyright © 2022 Elsevier B.V. All rights reserved.

Déclaration de conflit d'intérêts

Declaration of competing interest The authors declare that they have no known competing financial interests or personal relationships that could have appeared to influence the work reported in this paper.

Auteurs

Thomas Kitzberger (T)

INIBIOMA-Universidad Nacional del Comahue, CONICET, Quintral 1250, Bariloche 8400, Río Negro, Argentina. Electronic address: kitzberger@comahue-conicet.gob.ar.

Florencia Tiribelli (F)

INIBIOMA-Universidad Nacional del Comahue, CONICET, Quintral 1250, Bariloche 8400, Río Negro, Argentina.

Iván Barberá (I)

INIBIOMA-Universidad Nacional del Comahue, CONICET, Quintral 1250, Bariloche 8400, Río Negro, Argentina.

Juan Haridas Gowda (JH)

INIBIOMA-Universidad Nacional del Comahue, CONICET, Quintral 1250, Bariloche 8400, Río Negro, Argentina.

Juan Manuel Morales (JM)

INIBIOMA-Universidad Nacional del Comahue, CONICET, Quintral 1250, Bariloche 8400, Río Negro, Argentina.

Laura Zalazar (L)

INIBIOMA-Universidad Nacional del Comahue, CONICET, Quintral 1250, Bariloche 8400, Río Negro, Argentina.

Juan Paritsis (J)

INIBIOMA-Universidad Nacional del Comahue, CONICET, Quintral 1250, Bariloche 8400, Río Negro, Argentina.

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