2021
DOI: 10.1111/ecog.05347
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Metacommunity resilience against simulated gradients of wildfire: disturbance intensity and species dispersal ability determine landscape recover capacity

Abstract: Disturbances, such as wildfires, are one of the main drivers of biodiversity dynamics, and their frequency and intensity are expected to increase due to global change. Such disturbances generate a mosaic of affected and unaffected patches that change landscape structure and, consequently, metacommunity networks. Therefore, to fully understand the consequences of such disturbances, a landscape perspective is required. In 2012, a wildfire burned 13 000 hectares in the NE Iberian Peninsula affecting a pond macroi… Show more

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Cited by 19 publications
(36 citation statements)
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“…Predicting how ecological communities may respond to the increased intensities and frequencies of disturbances associated with climate change is particularly challenging, since the different characteristics of disturbance events (duration, intensity, frequency, spatial extent and spatial location) are known to have different impacts on community recovery and species richness (Jacquet and Altermatt 2020, Jacquet et al 2020). For instance, Cunillera‐Montcusí et al (2021) demonstrated that wildfire size and spatial extent have qualitatively different impacts on the recovery of macroinvertebrate communities in freshwater ponds. Similarly, we found that increasing drying spatial extent decreased average community recovery, while drying duration had a smaller effect, echoing some recent empirical findings (Crabot et al 2021).…”
Section: Discussionmentioning
confidence: 99%
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“…Predicting how ecological communities may respond to the increased intensities and frequencies of disturbances associated with climate change is particularly challenging, since the different characteristics of disturbance events (duration, intensity, frequency, spatial extent and spatial location) are known to have different impacts on community recovery and species richness (Jacquet and Altermatt 2020, Jacquet et al 2020). For instance, Cunillera‐Montcusí et al (2021) demonstrated that wildfire size and spatial extent have qualitatively different impacts on the recovery of macroinvertebrate communities in freshwater ponds. Similarly, we found that increasing drying spatial extent decreased average community recovery, while drying duration had a smaller effect, echoing some recent empirical findings (Crabot et al 2021).…”
Section: Discussionmentioning
confidence: 99%
“…Ecologically scaled landscape indices incorporate the dispersal ability of an organism into the computation of landscape connectivity (Vos et al 2001). They have been shown to have better abilities to predict metacommunity patterns (Laroche et al 2020) and dynamics (Lalechère et al 2017, Cunillera‐Montcusi et al 2021), and they are considered pivotal for designing efficient landscape conservation strategies (Meurant et al 2018). A step forward is to incorporate the additional role played by disturbances in shaping landscape connectivity to gain a general understanding of biodiversity recovery in spatially structured landscapes.…”
Section: Methodsmentioning
confidence: 99%
“…The monitoring and restoration of lake biodiversity and ecosystem services should also consider that besides the individual responses of a given lake or pond, a high degree of dynamism occurs at local, regional, and global spatial scales (Heino et al 2021). Connected and heterogeneous landscapes allow metacommunity dynamics to build biodiversity resilience against future disturbances driven by climate change, such as fires (Cunillera-Montcusí et al 2021).…”
Section: Advances In Mitigation and Adaptation Policiesmentioning
confidence: 99%
“…Forcing uncertainty does not appear to be a major issue because of the similarity in simulations between the two forcing scenarios (Figure 2 and Supplementary Figure 5). However, uncertainty remains in the simulated community traits due to missing processes such as fungibacteria interactions (e.g., Wright and Vetsigian, 2016), realistic dispersal (e.g., Cunillera-Montcusí et al, 2021), and evolution. Notably, a recent study across the Glassman et al (2018) climate gradient found fast bacterial evolution in addition to ecological adaptation (Chase et al, 2021).…”
Section: Measuring and Simulating Community Traits More Accuratelymentioning
confidence: 99%