Non-neutral vegetation dynamics.
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2006-12-20
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Abstract
The neutral theory of biodiversity constitutes a reference null hypothesis for the interpretation of ecosystem dynamics and produces relatively simple analytical descriptions of basic system properties, which can be easily compared to observations. On the contrary, investigations in non-neutral dynamics have in the past been limited by the complexity arising from heterogeneous demographic behaviours and by the relative paucity of detailed observations of the spatial distribution of species diversity (beta-diversity): These circumstances prevented the development and testing of explicit non-neutral mathematical descriptions linking competitive strategies and observable ecosystem properties. Here we introduce an exact non-neutral model of vegetation dynamics, based on cloning and seed dispersal, which yields closed-form characterizations of beta-diversity. The predictions of the non-neutral model are validated using new high-resolution remote-sensing observations of salt-marsh vegetation in the Venice Lagoon (Italy). Model expressions of beta-diversity show a remarkable agreement with observed distributions within the wide observational range of scales explored (5 x 10(-1) m divided by 10(3) m). We also consider a neutral version of the model and find its predictions to be in agreement with the more limited characterization of beta-diversity typical of the neutral theory (based on the likelihood that two sites be conspecific or heterospecific, irrespective of the species). However, such an agreement proves to be misleading as the recruitment rates by propagules and by seed dispersal assumed by the neutral model do not reflect known species characteristics and correspond to averages of those obtained under the more general non-neutral hypothesis. We conclude that non-neutral beta-diversity characterizations are required to describe ecosystem dynamics in the presence of species-dependent properties and to successfully relate the observed patterns to the underlying processes.
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Marani, M, T Zillio, E Belluco, S Silvestri and A Maritan (2006). Non-neutral vegetation dynamics. PLoS One, 1. p. e78. 10.1371/journal.pone.0000078 Retrieved from https://hdl.handle.net/10161/15412.
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Scholars@Duke
Marco Marani
Sonia Silvestri
Silvestri received her doctoral training in Environmental System Modelling at the University of Padova, with a focus on remote sensing and the interdependence of salt marsh morphology and halophytic vegetation. She received her Laurea in Environmental Sciences from the University Ca’ Foscari in Venice. Silvestri joined the Nicholas School (Duke University) in 2011, where she teaches “Introduction to Satellite Remote Sensing” and “Remote Sensing of Coastal Environments”. Moreover Silvestri is the director of a Duke summer program at the Venice International University “Environmental Management in a Changing World: coping with Sea Level Rise”. Her research focuses on: - Remote Sensing applied to vegetation mapping, soil studies, hydrology, tidal morphology – Remote sensing of coastal water quality - Hyperspectral imagery analysis - Salt marsh evolution modelling - Relationship between wetlands morphology and vegetation - Large-scale multi-criteria analysis (GIS) - Remote sensing and GIS applied to the identification of illegal landfills and contaminated sites – Mosquitoes population dynamic. The Venice lagoon and its watershed have been her principal research sites in the last 15 years. In particular she is expert in the use of satellite remote sensing to monitor the Venice lagoon water quality (turbidity, phytoplankton, water temperature, etc.) and tracing the dynamic of the submerged vegetation. She has been extensively working on the Venice lagoon salt marshes and specifically on using data from a variety of sensors to study the halophytic vegetation and its interaction with the morphology.
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