globalchange  > 气候变化与战略
DOI: 10.1073/PNAS.1915646117
论文题名:
Plant richness; turnover; and evolutionary diversity track gradients of stability and ecological opportunity in a megadiversity center
作者: Colville J.F.; Beale C.M.; Forest F.; Altwegg R.; Huntley B.; Cowling R.M.
刊名: Proceedings of the National Academy of Sciences of the United States of America
ISSN: 0027-8424
出版年: 2020
卷: 117, 期:33
起始页码: 20027
结束页码: 20037
语种: 英语
Scopus关键词: rain ; Article ; biome ; biome stability ; climate ; controlled study ; ecology ; environmental aspects and related phenomena ; geographic distribution ; molecular phylogeny ; plant ; prediction ; priority journal ; seasonal variation ; South Africa ; spatial analysis ; species diversity ; species extinction ; species richness ; taxonomy ; topography ; biodiversity ; classification ; ecosystem ; evolution ; genetics ; phylogeny ; plant ; plant physiology ; Biodiversity ; Biological Evolution ; Climate ; Ecosystem ; Phylogeny ; Plant Physiological Phenomena ; Plants
英文摘要: Research on global patterns of diversity has been dominated by studies seeking explanations for the equator-to-poles decline in richness of most groups of organisms, namely the latitudinal diversity gradient. A problem with this gradient is that it conflates two key explanations, namely biome stability (age and area) and productivity (ecological opportunity). Investigating longitudinal gradients in diversity can overcome this problem. Here we investigate a longitudinal gradient in plant diversity in the megadiverse Cape Floristic Region (CFR). We test predictions of the age and area and ecological opportunity hypotheses using metrics for both taxonomic and phylogenetic diversity and turnover. Our plant dataset includes modeled occurrences for 4,813 species and dated molecular phylogenies for 21 clades endemic to the CFR. Climate and biome stability were quantified over the past 140,000 y for testing the age and area hypothesis, and measures of topographic diversity, rainfall seasonality, and productivity were used to test the ecological opportunity hypothesis. Results from our spatial regression models showed biome stability, rainfall seasonality, and topographic heterogeneity were the strongest predictors of taxonomic diversity. Biome stability alone was the strongest predictor of all diversity metrics, and productivity played only a marginal role. We argue that age and area in conjunction with non–productivity-based measures of ecological opportunity explain the CFR’s longitudinal diversity gradient. We suggest that this model may possibly be a general explanation for global diversity patterns, unconstrained as it is by the collinearities underpinning the latitudinal diversity gradient. © 2020 National Academy of Sciences. All rights reserved.
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资源类型: 期刊论文
标识符: http://119.78.100.158/handle/2HF3EXSE/164104
Appears in Collections:气候变化与战略

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作者单位: Colville, J.F., Kirstenbosch Research Centre, South African National Biodiversity Institute, Newlands, Cape Town, 7735, South Africa, Statistics in Ecology, Environment and Conservation, Department of Statistical Sciences, University of Cape Town, Rondebosch, 7701, South Africa; Beale, C.M., Department of Biology, University of York, Heslington, YO10 5DD, United Kingdom; Forest, F., Analytical Methods Section, Royal Botanic Gardens, Kew, Richmond, TW9 3DS Surrey, United Kingdom; Altwegg, R., Statistics in Ecology, Environment and Conservation, Department of Statistical Sciences, University of Cape Town, Rondebosch, 7701, South Africa, African Climate and Development Initiative, University of Cape Town, 7701 Rondebosch, Cape Town, South Africa; Huntley, B., Department of Biosciences, Durham University, Durham, DH1 3LE, United Kingdom; Cowling, R.M., African Centre for Coastal Palaeoscience, Nelson Mandela Metropolitan University, Port Elizabeth, 6031, South Africa

Recommended Citation:
Colville J.F.,Beale C.M.,Forest F.,et al. Plant richness; turnover; and evolutionary diversity track gradients of stability and ecological opportunity in a megadiversity center[J]. Proceedings of the National Academy of Sciences of the United States of America,2020-01-01,117(33)
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