Understanding how patterns and processes relate across spatial scales is one of the major goals in ecology. 1/f models have been applied mostly to time series of environmental and ecological variables, but they can also be used to analyse spatial patterns. Since 1/f noise may display scale-invariant behaviour, ecological phenomena whose spatial variability shows 1/f type scaling are susceptible to further characterization using fractals or multifractals. Here we use spectral analysis and multifractal techniques (generalized dimension spectrum) to investigate the spatial distribution of epilithic microphytobenthos (EMPB) on rocky intertidal surfaces. EMPB biomass was estimated from calibrated colour-infrared images that provided indirect mea...
Multifractals have been applied to characterize complex communities in a spatial context. They were ...
Disentangling the effects of the vast array of natural and human processes that drive variation in m...
Characterization of chlorophyll and sea surface temperature (SST) structural heterogeneity using the...
Understanding how patterns and processes relate across spatial scales is one of the major goals in e...
<div><p>We analyzed the relationship between biodiversity and spatial biomass heterogeneity along an...
Periphyton is an aquatic community composed by algae, bacteria, fungi, and other microorganisms that...
Ecosystems involve highly non-linear interactions between species and their environments over wide r...
International audiencePhytoplankton patchiness has been investigated with multifractal analysis tech...
Abstract. We present the first evidence that variability in zooplankton biomass can be characterized...
Knowledge of spatio-temporal variability of assemblages is the first step in identifying key factors...
Ecological tests of 1/f-noise models have advanced our understanding of how environmental fluctuatio...
We examined the spatial heterogeneity in three sessile rocky shore organisms, the mussel Perna perna...
The species-area relationship, SAR, is the first approximation to describe the spatial structure at ...
Increasing evidence indicates that spatial and temporal patterns in ecological systems are not indep...
Multifractals have been applied to characterize complex communities in a spatial context. They were ...
Disentangling the effects of the vast array of natural and human processes that drive variation in m...
Characterization of chlorophyll and sea surface temperature (SST) structural heterogeneity using the...
Understanding how patterns and processes relate across spatial scales is one of the major goals in e...
<div><p>We analyzed the relationship between biodiversity and spatial biomass heterogeneity along an...
Periphyton is an aquatic community composed by algae, bacteria, fungi, and other microorganisms that...
Ecosystems involve highly non-linear interactions between species and their environments over wide r...
International audiencePhytoplankton patchiness has been investigated with multifractal analysis tech...
Abstract. We present the first evidence that variability in zooplankton biomass can be characterized...
Knowledge of spatio-temporal variability of assemblages is the first step in identifying key factors...
Ecological tests of 1/f-noise models have advanced our understanding of how environmental fluctuatio...
We examined the spatial heterogeneity in three sessile rocky shore organisms, the mussel Perna perna...
The species-area relationship, SAR, is the first approximation to describe the spatial structure at ...
Increasing evidence indicates that spatial and temporal patterns in ecological systems are not indep...
Multifractals have been applied to characterize complex communities in a spatial context. They were ...
Disentangling the effects of the vast array of natural and human processes that drive variation in m...
Characterization of chlorophyll and sea surface temperature (SST) structural heterogeneity using the...