Role of Heterogeneity in Scaling of Ecological Systems Under Analysis

Allen, Timothy F. H.; Hoekstra, Thomas W.

doi:10.1007/978-1-4612-3062-5_3

Cited by 99 publications

(90 citation statements)

References 16 publications

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“…Grain represents the finest entity in an observation set (spatial resolution, ground size of pixels), while extent is the span of all detected entities (size of acquisition, number of pixels) (Allen et al, 1991). The robust methodology of INLAND intends to give a possible solution for measuring continuous landscape diversity across scales, only with the modification of spatial resolution (degradation of images), without the changing of the extent between the discrete scales.…”

Section: Subscalesmentioning

confidence: 99%

Mapping solution of Interscale Landscape Diversity Modelling Methodology

Fülöp¹

2014

JAI

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A B S T R A C TInterscale Landscape Diversity Modelling Methodology (INLAND) was set up in order to carry out landscape diversity modelling tasks. The modelling has dual aims: sampling and mapping. In the confines of this paper I introduce the mapping solution, with the description of the modelling needs, and the application of the output results. INLAND methodology defines landscape diversity as the (human/social) perception of spatial heterogeneity. INLAND also intends to model landscape diversity continuously throughout spatial scales. The automated assessment tools of INLAND carry out the modelling tasks relying on Earth Observation (satellite remote sensing) imagery. With the use of sampling tool -objective parameters can be extracted from input data sources. Mapping solution visualises landscape diversity in a map format in order to provide basis for monitoring, and planning tasks -in comfort with the requirements of European Landscape Convention (2000, Florence). Examples of the application of INLAND maps are also introduced along a case study (Rostock region -Mecklenburg-Vorpommern, Germany).

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Section: Subscalesmentioning

confidence: 99%

Mapping solution of Interscale Landscape Diversity Modelling Methodology

Fülöp¹

2014

JAI

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“…Dentre estas abordagens, o modelo hierárquico de estrutura de manchas em múltiplas escalas tem se destacado. A idéia central desta abordagem considera que uma mancha (agregação espacial de uma espécie ou condições) observada em determinada escala espacial, tem uma estrutura interna que é reflexo da agregação de manchas menores em escalas mais detalhadas (Kotliar & Wiens 1990, Allen & Hoekstra 1991. A identificação do padrão espacial das espécies ou condições pode dar indicações das escalas onde importantes processos ocorrem e de como os processos mudam com as escalas (Talley 2007).…”

Section: Capítulo 1 I -Introdução Geralunclassified

Distribuição espacial de recursos florais e efeitos de agentes antagonistas e mutualistas sobre o sucesso reprodutivo de Eriotheca gracilipes (Malvaceae): um espécie de Cerrado

Emerique¹

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“…The spatial scale of observation is methodologically based on the decision of observers and not on inherent characteristics of ecological processes (Allen and Hoekstra, 1991). Observed patterns are the result of different factors operating over a hierarchy of spatial scales (Wiens, 1989).…”

Section: Introductionmentioning

confidence: 99%

Multiscale variability of amphipod assemblages in Posidonia oceanica meadows

Sturaro

Lepoint

Vermeulen

et al. 2015

Journal of Sea Research

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The study of spatial patterns is important in understanding the causes of the distribution and abundance of organisms, and it also provides a valuable basis for management and conservation. Amphipod crustaceans are key organisms in seagrass ecosystems. However, little attention has been paid to the spatial scales at which amphipod assemblages may vary. We examined variability patterns of amphipod populations inhabiting Posidonia oceanica meadows, over spatial scales spanning four orders of magnitude (1 to 1000 meters) and for two consecutive years. This study reports the scales that contributed most to spatial variation of amphipod assemblages and explores the potential processes driving the observed patterns, with particular emphasis on habitat features. The number of species, the diversity, and the density of some species varied substantially across years. For most species the highest spatial variation in density and biomass occurred at small scales (1 and 10 meters). Based on density data, the structure of amphipod assemblages did not differ at any scales investigated. The patchiness that occurred at small scales may have been related to habitat features, but only weakly. Instead, we postulate that amphipod behavioral processes likely represent good explanatory factors. Although, small-scale spatial variability can be an important feature of amphipod assemblages in P. oceanica meadows, some patterns may have gone undetected because they occur at scales smaller than those investigated.

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Role of Heterogeneity in Scaling of Ecological Systems Under Analysis

Cited by 99 publications

References 16 publications

Mapping solution of Interscale Landscape Diversity Modelling Methodology

Mapping solution of Interscale Landscape Diversity Modelling Methodology

Distribuição espacial de recursos florais e efeitos de agentes antagonistas e mutualistas sobre o sucesso reprodutivo de Eriotheca gracilipes (Malvaceae): um espécie de Cerrado

Multiscale variability of amphipod assemblages in Posidonia oceanica meadows

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