2021
DOI: 10.1017/qua.2021.23
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Retrodicting large herbivore biomass for the last glacial maximum on the Palaeo-Agulhas Plain (South Africa) using modern ecological knowledge of African herbivore assemblages and rainfall

Abstract: Herbivore distribution throughout Africa is strongly linked to mean annual precipitation. We use that relationship to predict functional group composition of herbivore communities during the last glacial maximum (ca. 21 ka) on the now submerged Palaeo-Agulhas Plain (PAP), South Africa. We used metabolic large herbivore biomass (MLHB) from 39 South African protected areas, in five functional groups (characterized by behavior and physiology). We examined how modern factors influenced MLHB and considered the effe… Show more

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Cited by 3 publications
(10 citation statements)
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“…Large herbivore biomass was calculated using 1 km 2 grid cells across the PAP for each of the five functional groups based on varying degrees of rainfall and different vegetation types using proxies from extant protected areas across South Africa (Brooke et al ., 2021). Brooke et al .…”
Section: Methodsmentioning
confidence: 99%
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“…Large herbivore biomass was calculated using 1 km 2 grid cells across the PAP for each of the five functional groups based on varying degrees of rainfall and different vegetation types using proxies from extant protected areas across South Africa (Brooke et al ., 2021). Brooke et al .…”
Section: Methodsmentioning
confidence: 99%
“…Large herbivore biomass was calculated using 1 km 2 grid cells across the PAP for each of the five functional groups based on varying degrees of rainfall and different vegetation types using proxies from extant protected areas across South Africa (Brooke et al, 2021). Brooke et al (2021) calculated the large herbivore biomass for 39 protected areas across the four main biomes found on the PAP. Protected areas were selected across a varying rainfall gradient as rainfall is the best predictor of herbivore biomass in Africa.…”
Section: Large Herbivore Biomassmentioning
confidence: 99%
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