2020
DOI: 10.1007/s10021-020-00544-1
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Forest Structural Complexity and Biomass Predict First-Year Carbon Cycling Responses to Disturbance

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Cited by 20 publications
(17 citation statements)
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“…The variable response of rugosity to disturbance type indicates that multiple canopy structural metrics should be considered to gain a more holistic perspective on which aspect(s) of the canopy change. As our stands continue to develop, rugosity could become a useful metric to predict NPP in light of herbivory disturbance, as it is strongly correlated with greater net primary productivity within maturing stands (Gough et al., 2019, 2021). Furthermore, since stand age and time since disturbance are of particular importance when measuring rugosity, but are often difficult to standardize across studies, long‐term experimental studies such as ours are particularly important to better understand these disturbance–canopy interactions (Wales et al., 2020).…”
Section: Discussionmentioning
confidence: 99%
“…The variable response of rugosity to disturbance type indicates that multiple canopy structural metrics should be considered to gain a more holistic perspective on which aspect(s) of the canopy change. As our stands continue to develop, rugosity could become a useful metric to predict NPP in light of herbivory disturbance, as it is strongly correlated with greater net primary productivity within maturing stands (Gough et al., 2019, 2021). Furthermore, since stand age and time since disturbance are of particular importance when measuring rugosity, but are often difficult to standardize across studies, long‐term experimental studies such as ours are particularly important to better understand these disturbance–canopy interactions (Wales et al., 2020).…”
Section: Discussionmentioning
confidence: 99%
“…Variables related to vegetation cover and structural properties included pre-cyclone mean EVI or NDII, AGB and mean maximum canopy height (see section 2.3) because pre-disturbance forest structure and composition and total biomass are important factors in determining the magnitude of disturbance effects (Gough et al, 2021;Hogan et al, 2018;Kosugi et al, 2016;Lin et al, 2020). Although AGB and canopy height are likely to be correlated, we included both as predictors in the linear models.…”
Section: Cyclone-induced Change In Relationship To Forest Cyclone and Climatic Variablesmentioning
confidence: 99%
“…First, it is designed to enable analysis of compositional and functional responses to disturbance; this is appealing because compositional (e.g., taxonomic diversity) or structural (e.g., LAI) change may foreshadow or co-vary with C cycling responses to disturbance (Stuart-Ha€ entjens et al 2015). Despite this knowledge, the study of compositional changes following disturbance is historically the domain of community ecologists and ecosystem-scale functional responses such as primary production the focus of ecosystem ecologists (Gough et al 2021a). Second, while population and community properties such as species and richness more commonly decline after disturbance (Armesto andPickett 1985, Murphy andRomanuk 2014), the analytical approach used here acknowledges that C fluxes may decrease or increase.…”
Section: A Multidimensional Stability Framework For Analysis Of Carbon Flux Response To Disturbancementioning
confidence: 99%
“…For example, 20th-century theorists hypothesized a pattern of primary production decline and recovery following successionresetting disturbance (Bormann and Likens 1979;Odum 1969, Vitousek 1982; empiricists used chronosequences and long-term observations to test this theory, documenting and comparing the stability of primary production following disturbance (Amiro et al 2010, Hicke et al 2012, Gough et al 2013; and modelers used theoretical and empirical information to build, parameterize, and challenge earth system models' representation of disturbance responses (Cao andWoodward 1998, Dorheim et al 2021). Following Holling's (1973) definition of resilience as the capacity of ecosystems to withstand and recover from perturbation (Holling 1973), ecosystem ecologists have also characterized the temporal dynamics and degrees of functional change that follow disturbances varying in scale, source, severity, and frequency (Turner et al 1993, Goulden et al 2011, Nave et al 2011, Gough et al 2021a. Despite these advances, ecosystem ecologists, including carbon (C) cycling scientists, have not embraced the theories and analytical tools developed and applied by other disciplines for assessing the stability of ecological properties and processes following disturbance.…”
Section: Introductionmentioning
confidence: 99%
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