title: Density-dependent speciation alters the structure and dynamics of neutral communities.
abstract: The neutral theory of biodiversity (NTB) provides an individual-based modeling framework to study eco-evolutionary dynamics. Previous NTB models usually assumed the same per capita rate of speciation across lineages. However, population dynamics may induce macroevolutionary feedbacks that can result in variable per capita speciation rates across lineages. In this paper, with analytical and simulation approaches, we explore how different scenarios of density-dependent speciation may impact the diversity and phylogenetic patterns of neutral communities, and compare the results to predictions of the original NTB model with an invariant speciation rate. Our results show that positive per capita speciation rate-abundance relationships could result in higher species richness and evenness, enhanced stability (evidenced by higher post-disturbance recovery rates and lower temporal variability in species diversity), and higher imbalance in phylogenetic trees. The opposite patterns are predicted when per capita speciation rates decrease with abundance. Particularly, strong negative speciation rate-abundance relationships can generate a positive correlation between phylogenetic age and abundance, which has been observed in Panamanian tree species. Our findings demonstrate the importance of eco-evolutionary feedbacks for understanding long-term diversity and phylogenetic patterns in ecological communities.
authors.affiliation: Department of Ecology, College of Urban and Environmental Sciences, Key Laboratory for Earth Surface Processes of the Ministry of Education, Peking University, Beijing 100871, China; Department of Ecology and Evolutionary Biology, Princeton University, NJ 08544, USA; Centre for Biodiversity Theory and Modelling, Station d'Ecologie Expérimentale du CNRS, 09200 Moulis, France. Electronic address: shaopeng.wang@pku.edu.cn.
authors.forename: Shaopeng
authors.initials: S
authors.lastname: Wang
authors.affiliation: Department of Ecology and Evolutionary Biology, Princeton University, NJ 08544, USA. Electronic address: anpingc@princton.edu.
authors.forename: Anping
authors.initials: A
authors.lastname: Chen
authors.affiliation: Department of Ecology and Evolutionary Biology, Princeton University, NJ 08544, USA.
authors.forename: Stephen W
authors.initials: SW
authors.lastname: Pacala
authors.affiliation: Department of Ecology, College of Urban and Environmental Sciences, Key Laboratory for Earth Surface Processes of the Ministry of Education, Peking University, Beijing 100871, China.
authors.forename: Jingyun
authors.initials: J
authors.lastname: Fang
mesh_terms: D000465:Algorithms; D044822:Biodiversity; D058448:Biota; D003198:Computer Simulation; D004463:Ecology; D049810:Genetic Speciation; D008954:Models, Biological; D010802:Phylogeny; D010944:Plants; D011157:Population Dynamics; D013045:Species Specificity
keywords: Eco-evolutionary dynamics; Neutral theory; Phylogeny; Species abundance distribution