DOI: 10.5194/hess-19-2133-2015
Scopus记录号: 2-s2.0-84929191911
论文题名: Coupled local facilitation and global hydrologic inhibition drive landscape geometry in a patterned peatland
作者: Acharya S ; , Kaplan D ; A ; , Casey S ; , Cohen M ; J ; , Jawitz J ; W
刊名: Hydrology and Earth System Sciences
ISSN: 10275606
出版年: 2015
卷: 19, 期: 5 起始页码: 2133
结束页码: 2144
语种: 英语
Scopus关键词: Anisotropy
; Feedback
; Fractal dimension
; Fractals
; Mobile security
; Stochastic systems
; Area fractal dimensions
; Cellular automata modeling
; Pattern evolution
; Plausible mechanisms
; Power law scalings
; Process-based models
; Sediment redistribution
; Stochastic transitions
; Stochastic models
; anisotropy
; facilitation
; global change
; hydroperiod
; inhibition
; landscape
; peatland
; power law
; self organization
; variogram
; Everglades
; Florida [United States]
; United States
英文摘要: Self-organized landscape patterning can arise in response to multiple processes. Discriminating among alternative patterning mechanisms, particularly where experimental manipulations are untenable, requires process-based models. Previous modeling studies have attributed patterning in the Everglades (Florida, USA) to sediment redistribution and anisotropic soil hydraulic properties. In this work, we tested an alternate theory, the self-organizing-canal (SOC) hypothesis, by developing a cellular automata model that simulates pattern evolution via local positive feedbacks (i.e., facilitation) coupled with a global negative feedback based on hydrology. The model is forced by global hydroperiod that drives stochastic transitions between two patch types: ridge (higher elevation) and slough (lower elevation). We evaluated model performance using multiple criteria based on six statistical and geostatistical properties observed in reference portions of the Everglades landscape: patch density, patch anisotropy, semivariogram ranges, power-law scaling of ridge areas, perimeter area fractal dimension, and characteristic pattern wavelength. Model results showed strong statistical agreement with reference landscapes, but only when anisotropically acting local facilitation was coupled with hydrologic global feedback, for which several plausible mechanisms exist. Critically, the model correctly generated fractal landscapes that had no characteristic pattern wavelength, supporting the invocation of global rather than scale-specific negative feedbacks. © Author(s) 2015. Citation statistics:
资源类型: 期刊论文
标识符: http://119.78.100.158/handle/2HF3EXSE/78531
Appears in Collections: 气候变化事实与影响
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作者单位: School of Forest Resources and Conservation, University of Florida, Gainesville, FL, United States; Environmental Engineering Sciences, Engineering School of Sustainable Infrastructure and Environment, University of Florida, Gainesville, FL, United States; Soil and Water Science Department, University of Florida, Gainesville, FL, United States
Recommended Citation:
Acharya S,, Kaplan D,A,et al. Coupled local facilitation and global hydrologic inhibition drive landscape geometry in a patterned peatland[J]. Hydrology and Earth System Sciences,2015-01-01,19(5)