2020
DOI: 10.1111/geb.13232
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Long‐term drivers of vegetation turnover in Southern Hemisphere temperate ecosystems

Abstract: AimKnowledge of the drivers of ecosystem changes in the past is key to understanding present ecosystem responses to changes in climate, fire regimes and anthropogenic impacts. Northern Hemisphere‐focussed studies suggest that climate and human activities drove turnover during the Holocene in temperate ecosystems. Various drivers have been invoked to explain changes in Southern Hemisphere temperate vegetation, but the region lacks a quantitative assessment of these drivers. To better understand the regional dri… Show more

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Cited by 23 publications
(21 citation statements)
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“…We rarefied pollen data (excluding exotic pollen such as Pinus) in 'R' (R Core Team, 2020) using the 'rarefy' function in 'vegan' package (Oksanen et al, 2018), to estimate past diversity (palynological richness, a proxy for floristic richness in SE Australia, see Adeleye et al, 2020;Felde et al, 2016). Although differential pollen production may bias pollen-based estimates of floristic richness (Birks, Felde, Bjune, et al, 2016), taxonomic richness of pollen records has been shown to significantly reflect floristic richness of an area (Birks, Felde, Seddon, 2016), especially when a single climatic or floristic region is considered, as in our study (Adeleye et al, 2020;Connor et al, 2000;Meltsov et al, 2013).…”
Section: Floristic Richness Estimationmentioning
confidence: 99%
“…We rarefied pollen data (excluding exotic pollen such as Pinus) in 'R' (R Core Team, 2020) using the 'rarefy' function in 'vegan' package (Oksanen et al, 2018), to estimate past diversity (palynological richness, a proxy for floristic richness in SE Australia, see Adeleye et al, 2020;Felde et al, 2016). Although differential pollen production may bias pollen-based estimates of floristic richness (Birks, Felde, Bjune, et al, 2016), taxonomic richness of pollen records has been shown to significantly reflect floristic richness of an area (Birks, Felde, Seddon, 2016), especially when a single climatic or floristic region is considered, as in our study (Adeleye et al, 2020;Connor et al, 2000;Meltsov et al, 2013).…”
Section: Floristic Richness Estimationmentioning
confidence: 99%
“…Fossil pollen data have been widely used in estimating changes in terrestrial vegetation through time (turnover), which is useful in assessing long-term stability and dynamics in ecosystems (e.g. Adeleye et al, 2020;Carcaillet et al, 2010;Connor et al, 2019;Seddon et al, 2015). In order to quantify Holocene vegetation change in Nigeria, we applied this approach to the 13 selected pollen records from Nigeria and nearby regions.…”
Section: Estimating Past Vegetation Turnovermentioning
confidence: 99%
“…This was done to reduce the risk artefact introduction in turnover results (Adeleye et al, 2020;Connor et al, 2019;Seddon et al, 2015). Turnover analysis was conducted using the Squared Chord Distance (SCD) dissimilarity metric, with pairs of pollen samples randomly selected (50 replications) from each bin to calculate the average SCD between samples (Adeleye et al, 2020;Connor et al, 2019;Overpeck et al, 1985;Seddon et al, 2015). A Bayesian Change Point analysis was performed on SCD results to identify significant changes in turnover trends.…”
Section: Estimating Past Vegetation Turnovermentioning
confidence: 99%
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“…Our results suggest Indigenous land use is mainly reflected in changes in RRFE across regions in the past. Given that fire frequency can shape vegetation structure and composition [92,93], recurrent Indigenous fire-usage likely created open/mosaic diverse vegetation [94], with reduced fuel loads in many parts of southeast Australia during the Holocene. Results for the FGI in particular suggest periods of reduced Indigenous burning allowed biomass accumulation, contributing to an increase in BB on the FGI between~9000 and 5000 years ago and the last~200 years (Figures 3 and 4).…”
Section: Australian Fire Regime and Managementmentioning
confidence: 99%