Species richness and environmental conditions of fish along the Norwegian Skagerrak coast

Lekve, Kyrre; Stenseth, Nils Chr.; Gjøsæter, Jakob; Dolédec, Sylvain

doi:10.1006/jmsc.2002.1247

Cited by 10 publications

(9 citation statements)

References 44 publications

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“…The innermost stations of the Oslofjord (Drøbak, Inner Oslofjord) and the Hvaler area (possibly due to freshwater runoff from the largest river in Norway, Glomma) seem not to be influenced by advection from the NCC. Applying a different methodology, this overall assessment of a largescale oceanic influence is confirmed in previous studies (Lekve 2001;Lekve et al 2002c).…”

Section: Determining the Parameters Of The Modelsupporting

confidence: 82%

Modeling species richness controlled by community‐intrinsic and community‐extrinsic processes: coastal fish communities as an example

2002

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This article focuses on the analysis of coastal fish communities along the Norwegian Skagerrak coast. Species numbers are estimated based on annual samples of the fish communities within 12 fjords from 1953 to 1994. On this basis, a community dynamics model (incorporating both community-intrinsic and community-extrinsic processes) was developed and analyzed. This model is then discussed on the basis of other community models available through the literature, both phenomenologically oriented and process-oriented models.

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Section: Determining the Parameters Of The Modelsupporting

confidence: 82%

Modeling species richness controlled by community‐intrinsic and community‐extrinsic processes: coastal fish communities as an example

2002

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“…The scalar products between correlation matrices define a configuration of several points, in which each one of them represents one of the matrices (point clouds) [36]. The purpose is to find a compromise matrix, close to all the correlation matrices.…”

Section: Statis-dual Methodsmentioning

confidence: 99%

Sparse STATIS-Dual via Elastic Net

et al. 2021

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Multi-set multivariate data analysis methods provide a way to analyze a series of tables together. In particular, the STATIS-dual method is applied in data tables where individuals can vary from one table to another, but the variables that are analyzed remain fixed. However, when you have a large number of variables or indicators, interpretation through traditional multiple-set methods is complex. For this reason, in this paper, a new methodology is proposed, which we have called Sparse STATIS-dual. This implements the elastic net penalty technique which seeks to retain the most important variables of the model and obtain more precise and interpretable results. As a complement to the new methodology and to materialize its application to data tables with fixed variables, a package is created in the R programming language, under the name Sparse STATIS-dual. Finally, an application to real data is presented and a comparison of results is made between the STATIS-dual and the Sparse STATIS-dual. The proposed method improves the informative capacity of the data and offers more easily interpretable solutions.

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“…It consists of three steps: (1) comparison and classification of 2D tables (called interstructure) according to their contribution to the total variance; (2) application of PCA to all 2D tables weighted by their contribution to the total variance established by step 1 (called compromise); and (3) application of PCA to every 2D table and projection of the results in the factorial compromise plane established in step 2 (called intrastructure). In general, STATIS has been used in various environmental cases in ecology (Thioulouse et al 1995;Gaertner et al 1998;Pate et al 2000;Lekve et al 2002;Muino et al 2003;Simier et al 2004), in chemistry (Coquet et al 1996;Chaya et al 2004), and more recently in hydrology (Stanimirova et al 2004).…”

Section: Introductionmentioning

confidence: 99%

Investigation of Transport Processes inside Karst Aquifer by Means of STATIS

Fournier¹,

Motelay-Massei²,

Masséi³

et al. 2009

Groundwater

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Environmental data sets are often multidimensional and consequently display complex structure. This article shows the limitations of principal component analysis (PCA) for the study of such three-dimensional (3D) data sets. These limitations can be resolved by the use of the statistical tool STATIS. The inlet (a swallow hole) and the outlet (a spring) of a karst system of the Western Paris basin were sampled during three rain events of various intensities. These 3D geochemical data sets (variables x sites x dates) for a karst system were analyzed by STATIS method to identify hydrological processes. STATIS proceeds in three steps (interstructure, compromise, and intrastructure), which allows us to focus the analysis of hydrologic systems at different temporal and spatial scales. Compromise plane shows that suspended matter and flood are not simultaneous and highlights a rapid flow, characterized by turbidity and phosphate, which represents a point source contamination, and a ground water flow contaminated by nitrate. Intrastructure plane allows us to compare hydrochemical variations between the swallow hole and the spring lead. By this way, hydrological processes such as direct transfer and resuspension of intrakarstic sediments before and after the flood were identified what cannot be realized by comparison of inlet and outlet breakthrough curves. Finally, results obtained from the same data set by STATIS and a coupled study using PCA and normalized hysteresis curves were compared. This comparison shows the efficiency of STATIS at the identification of transport processes and vulnerability of karst system and its potential for hydrological applications.

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Species richness and environmental conditions of fish along the Norwegian Skagerrak coast

Cited by 10 publications

References 44 publications

Modeling species richness controlled by community‐intrinsic and community‐extrinsic processes: coastal fish communities as an example

Modeling species richness controlled by community‐intrinsic and community‐extrinsic processes: coastal fish communities as an example

Sparse STATIS-Dual via Elastic Net

Investigation of Transport Processes inside Karst Aquifer by Means of STATIS

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