2021
DOI: 10.26686/wgtn.14330714.v2
|View full text |Cite
Preprint
|
Sign up to set email alerts
|

Fire characteristics and environmental conditions shape plant communities via regeneration strategy

Abstract: © 2020 The Authors. Ecography published by John Wiley & Sons Ltd on behalf of Nordic Society Oikos Climate change is altering disturbance regimes outside historical norms, which can impact biodiversity by selecting for plants with particular traits. The relative impact of disturbance characteristics on plant traits and community structure may be mediated by environmental gradients. We aimed to understand how wildfire impacted understory plant communities and plant regeneration strategies along gradients … Show more

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
3
2

Citation Types

0
7
0

Year Published

2021
2021
2022
2022

Publication Types

Select...
5

Relationship

0
5

Authors

Journals

citations
Cited by 5 publications
(7 citation statements)
references
References 1 publication
(1 reference statement)
0
7
0
Order By: Relevance
“…Earlier studies have found that resilience may vary with environmental conditions, for instance, with wet forests being more resilient than dry ones (e.g., Day et al. [2020]), but we are not aware of other studies that include a long time gradient to analyze resilience in relation to disturbance interval. To advance the understanding further, it is essential to explore if effects of disturbance interval are linear or nonlinear, for example, if there are time thresholds with disproportionately more late‐successional species.…”
Section: Discussionmentioning
confidence: 98%
“…Earlier studies have found that resilience may vary with environmental conditions, for instance, with wet forests being more resilient than dry ones (e.g., Day et al. [2020]), but we are not aware of other studies that include a long time gradient to analyze resilience in relation to disturbance interval. To advance the understanding further, it is essential to explore if effects of disturbance interval are linear or nonlinear, for example, if there are time thresholds with disproportionately more late‐successional species.…”
Section: Discussionmentioning
confidence: 98%
“…A mechanistic understanding of the relationship between wildfires and system resilience is urgently required at a time where the intensity and area of this type of disturbance are already increasing above historical records around the globe (Pausas and Ribeiro 2013, Kovats et al 2014, Banks et al 2017, Young et al 2017, Turco et al 2018, Day et al 2020). Our study identified a gradual decline in resilience capacity with the increase in burned area but a sharp loss in resilience capacity when the fire affected more than half of the waterbodies (at approximately a 50% intensity).…”
Section: Discussionmentioning
confidence: 99%
“…Furthermore, it is expected that this change will interact with the dispersal ability of the considered species. However, the actual relationship between community resilience and disturbance size or intensity is not evident for temporary pond or other systems (Miller et al 2019, Crabot et al 2020, Day et al 2020. For example, it is not evident whether resilience will present gradual or sharp transitions along disturbance gradients (Scheffer 2009, Ratajczak et al 2018, at which level of disturbance size or intensity this transition could be expected (Moore 2018), what the strength of these disturbance properties could be as determinants of resilience (Seidl et al 2017), or how the differences in dispersal ability among taxa might determine future patterns (Sorensen and Shade 2020).…”
Section: Introductionmentioning
confidence: 99%
See 1 more Smart Citation
“…For example, patterns of post‐fire recovery can be influenced by post‐fire climatic conditions which may promote or impair vegetation recovery (e.g. Day et al, 2020; Keeley & Pausas, 2019), with flow‐on effects on habitat suitability for animals (Regos et al, 2018; White et al, 2011).…”
Section: Introductionmentioning
confidence: 99%