Community pattern analysis: A method for quantifying community mosaic structure

Gibson, David J.; Greig-Smith, P.

doi:10.1007/bf00044081

Cited by 35 publications

(15 citation statements)

References 27 publications

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“…When several scales of pattern are present, two-term local variance analysis may overestimate the smallest scale (Carpenter & Cheney 1983), but the technique is still useful for comparing scale-dependent patterns of several variables (Gibson 1989). Scaledependent associations between biophysical variables and seedling data are described using correlation analysis based on two-term local covariance analysis (Hill 1973;Gibson & Greig-Smith 1986). These variance and correlation statistics do not meet the requirements of standard significance tests because samples are not independent (Upton & Fingleton 1985).…”

Section: Methodsmentioning

confidence: 99%

Establishment of microscale vegetation pattern in maritime chaparral after fire

1989

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We quantified microscale pattern in vegetation and seed assemblages along a 24 m transect before and for two years following a controlled burn in chamise (Adenostoma fasciculatum) chaparral in central coastal California. Our objective was to document scale-dependent correlation between pre-burn seed assemblages, pre-burn canopy cover, microtopography, soil temperatures during burning, post-burn seed assemblages and post-burn vegetation. Scale-dependent correlations among pre-and post-burn seed densities, maximum soil temperatures during burning, microtopography and post-burn vegetation were measured based on two-term local covariance analysis.Seed distribution varied among species prior to fire, with seeds of some annual species concentrated in gap areas. Maxinmm soil temperatures during burning ranged from less than 50 °C to 225 °C, and were generally lowest in gaps in the pre-burn canopy. These gaps were associated with local topographic depressions. After burning, readily germinable seeds were concentrated in or near gaps in the pre-burn canopy. Germination of different species was variously enhanced, diminished or unchanged by the passage of fire. Post-burn vegetation was very patchy, with some areas nearly devoid of seedlings and other areas, especially pre-burn canopy gaps, supporting numerous seedlings. Seedling recruitment patterns in the second year were generally highly correlated with patterns in pre-burn seed banks and first year vegetation. Although many species exhibited similar recruitment patterns, several different mechanisms may have been responsible for the origin of those patterns.

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Section: Methodsmentioning

confidence: 99%

Establishment of microscale vegetation pattern in maritime chaparral after fire

1989

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“…More recently, attention has been paid to many aspects of the fine-scale patterns of heterogeneity ( Figure 1) within ecosystems Arp and Helmut, 1984;Archer, 1984;Crozier and Boerner, 1984;Gibson and Greig-Smith, 1986;Loneragan and del Moral, 1984;Sterling et aI., 1984; Figure 1. Heterogeneous landscape in the state of Oklahoma (USA) where woody vegetation affects rate of water and material flows from the watershed.…”

Section: Patterns and Distribution Of Energymentioning

confidence: 98%

Landscape Pattern and Its Effects on Energy and Nutrient Distribution

Risser¹

1990

Changing Landscapes: An Ecological Perspective

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Landscape ecology is the study of natural and human-influenced processes that operate within heterogeneous geographical areas of the dimension of several to many square kilometers. Thus, in a hierarchical structure landscape processes are recognized between ecosystems and regions. In this context, ecosystems are defined as relatively homogeneous because the internal processes are driven by characteristics of that ecosystem (e.g., a deciduous forest or a grassland). Regions, on the other hand, are very broad in dimension, and as such, involve so much complexity and spatial heterogeneity that simple process studies are not practical. Therefore, in a hierarchical sense, landscape ecology focuses on that crucial level where natural and human-influenced processes are consequences of the heterogeneous landscape composed of contrasting ecosystems, and at the spatial and temporal scale where these processes can be analyzed.Many of the precursor concepts for landscape ecology have been developing for decades (Brandt and Agger, 1984;Leopold, 1949;Rowe, 1961;Watt, 1947), but within the past five years, the field has crystallized rapidly (Forman and Godron, 1981;Naveh, 1982;Naveh and Lieberman, 1984; Risser et aI., 1984;Risser, 1987). This developmental sequence for the field of landscape ecology has followed the development of the necessary antecedent steps. Specifically, ecosystem proccesses were studied within natural ecosystems with the consequent understanding of processes at various spatial scales up to the watershed level (Lindeman, 1942; Bormann and Likens, 1979). These processes were primarily the movement of nutrients and materials, and the description of

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“…Ecological examples include Bouxin (1983), Galiano (1983), Castro et al (1986), Gibson & Greig-Smith (1986), and Kenkel (1988b). The ordination scores are then used as input to one of the univariate spatial pattern detection methods outlined above.…”

Section: Pattern Detection In Community Studiesmentioning

confidence: 99%

On sampling procedures in population and community ecology

Kenkel

Juhász‐Nagy

Podani

1990

Progress in Theoretical Vegetation Science

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In this paper we emphasize that sampling decisions in popUlation and community ecology are context dependent. Thus, the selection of an appropriate sampling procedure should follow directly from considerations of the objectives of an investigation. We recognize eight sampling alternatives, which arise as a result of three basic dichotomies: parameter estimation versus pattern detection, univariate versus multivariate, and a discrete versus continuous sampling universe. These eight alternative sampling procedures are discussed as they relate to decisions regarding the required empirical sample size, the selection or arrangement of sampling units, and plot size and shape. Our results indicate that the decision-making process in sampling must be viewed as a flexible exercise, dictated not by generalized recommendations but by specific objectives: there is no panacea in ecological sampling. We also point to a number of unresolved sampling problems in ecology.

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Community pattern analysis: A method for quantifying community mosaic structure

Cited by 35 publications

References 27 publications

Establishment of microscale vegetation pattern in maritime chaparral after fire

Establishment of microscale vegetation pattern in maritime chaparral after fire

Landscape Pattern and Its Effects on Energy and Nutrient Distribution

On sampling procedures in population and community ecology

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