2022
DOI: 10.1111/gcb.16223
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Linking soil phosphorus with forest litterfall resistance and resilience to cyclone disturbance: A pantropical meta‐analysis

Abstract: While tropical cyclone regimes are shifting with climate change, the mechanisms underpinning the resistance (ability to withstand disturbance-induced change) and resilience (capacity to return to pre-disturbance reference) of tropical forest litterfall to cyclones remain largely unexplored pantropically. Single-site studies in Australia and Hawaii suggest that litterfall on low-phosphorus (P) soils is more resistant and less resilient to cyclones. We conducted a meta-analysis to investigate the pantropical imp… Show more

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Cited by 2 publications
(14 citation statements)
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References 193 publications
(261 reference statements)
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“…Post-cyclone data were extracted as the mean from 1 to 16 d post-cyclone for each case (table 1). This controls for the temporal decrease in cyclone effects seen in most cyclone-affected sites, and is consistent with the period employed to calculate cyclone-induced changes in litterfall (Bomfim et al 2022). In addition, extracting data prior to phenological changes in forest vegetation is imperative for assessing short-to medium-term cyclone-induced effects (Peereman et al 2020).…”
Section: Remote Sensingsupporting
confidence: 60%
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“…Post-cyclone data were extracted as the mean from 1 to 16 d post-cyclone for each case (table 1). This controls for the temporal decrease in cyclone effects seen in most cyclone-affected sites, and is consistent with the period employed to calculate cyclone-induced changes in litterfall (Bomfim et al 2022). In addition, extracting data prior to phenological changes in forest vegetation is imperative for assessing short-to medium-term cyclone-induced effects (Peereman et al 2020).…”
Section: Remote Sensingsupporting
confidence: 60%
“…As shown in table 1, some sites were affected more than once by a cyclone event, such as those in Taiwan. Bomfim et al (2022) also compiled soil, lithology, climate, biogeographic, and cyclone regime variables for each case, including site-specific total soil P concentrations. The case data compiled by Bomfim et al (2022) allowed for comparisons between the total litterfall mass flux, remote sensing-derived LAI and EVI, and site-specific soil, environmental, and cyclone regime variables (figure 1).…”
Section: Cases and Site-level Variable Selectionmentioning
confidence: 99%
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