Quantifying community assembly processes and identifying features that impose them
Pacific Northwest National Laboratory · Georgia Institute of Technology
Abstract
Spatial turnover in the composition of biological communities is governed by (ecological) Drift, Selection and Dispersal. Commonly applied statistical tools cannot quantitatively estimate these processes, nor identify abiotic features that impose these processes. For interrogation of subsurface microbial communities distributed across two geologically distinct formations of the unconfined aquifer underlying the Hanford Site in southeastern Washington State, we developed an analytical framework that advances ecological understanding in two primary ways. First, we quantitatively estimate influences of Drift, Selection and Dispersal. Second, ecological patterns are used to characterize measured and unmeasured…
Citation impact
- FWCI
- 13.16
- Percentile
- 100%
- References
- 49
Authors
8- JSJames StegenCorresponding
Pacific Northwest National Laboratory
- XLXueju Lin
Georgia Institute of Technology, Pacific Northwest National Laboratory
- JFJim Fredrickson
Pacific Northwest National Laboratory
- XCXingyuan Chen
Pacific Northwest National Laboratory
- DWDavid W. Kennedy
Pacific Northwest National Laboratory
Topics & keywords
- Biological dispersal
- Abiotic component
- Ecology
- Selection (genetic algorithm)
- Biology
- Metacommunity
- Spatial ecology
- Computer science
- Life in Land
Funding
- UDU.S. Department of EnergyAwards: DE-AC06-76RLO, DE-AC06-76RLO 1830, AC06-76RLO 1830, 76RLO 1830, contract DE-AC06-76RLO 1830
- BBattelleAwards: DE-AC06-76RLO 1830, AC06-76RLO 1830, DE-AC06-76RLO
- BABiological and Environmental ResearchAward: DE-AC06-76RLO 1830
- PNPacific Northwest National LaboratoryAwards: DE-AC06-76RLO 1830, DE-AC06-76RLO