1,721,252 research outputs found
code_SpatialCoex.zip
No full textThis is the data and code used in the manuscrpit "Multi-species coexistence in fragmented landscapes" by Mingyu Luo, Shaopeng Wang, Serguei Saavedra, Dieter Ebert, and Florian Altermatt. </p
Complex Interaction of Dendritic Connectivity and Hierarchical Patch Size on Biodiversity in River-Like Landscapes
No full textHabitat fragmentation and land use changes are causing major biodiversity losses. Connectivity of the landscape or environmental conditions alone can shape biodiversity patterns. In nature, however, local habitat characteristics are often intrinsically linked to a specific connectivity. Such a link is evident in riverine ecosystems, where hierarchical dendritic structures command related scaling on habitat capacity. We experimentally disentangled the effect of local habitat capacity (i.e., the patch size) and dendritic connectivity on biodiversity in aquatic microcosm metacommunities by suitably arranging patch sizes within river-like networks. Overall, more connected communities that occupy a central position in the network exhibited higher species richness, irrespective of patch size arrangement. High regional evenness in community composition was found only in landscapes preserving geomorphological scaling properties of patch sizes. In these landscapes, some of the rarer species sustained regionally more abundant populations better tracking their own niche requirements compared to landscapes with homogeneous patch size or landscapes with spatially uncorrelated patch size. Our analysis suggests that altering the natural link between dendritic connectivity and patch size strongly affects community composition and population persistence at multiple scales. The experimental results are demonstrating a principle that can be tested in theoretical metacommunity models and eventually be projected to real riverine ecosystems.ECH
Dryad_Species_data
No full textThe dataset gives all data for the analysis on the use of plants as larval houseplants and nectarine plants by adult Lepidoptera. It includes all 927 Lepidopteran species for which information on the use of larval foodplants was available from Ebert 2005. All variables are listed and explained. "NA" is used to record missing data.
The data were collected and compiled by Florian Altermatt (FA) and Ian S. Pearse (IP). Please refer to the corresponding article in "The American Naturalist" titled "Similarity and specialization of the larval versus adult diet of European butterflies and moths" by these two authors as well as all original data-sources when using these data.
FA is at the Swiss Federal Institute of Aquatic Science and Technology (Eawag), Department of Aquatic Ecology, Überlandstrasse 133, CH-8600 Dübendorf, Switzerland. Email: [email protected]
IP is at the University of California - Davis, Department of Entomology, 1 Shields Ave., Davis, CA 95616, USA. Email: [email protected]
Dryad_Subfamily_data
No full textThe table gives summary values on the number of plant species used as food plants by Lepidoptera larvae and as nectaring plants by the adults (mean, sd = standard deviation, min = minimum, max = maximum number), given separately for each Lepidoptera subfamily. NA = not applicable.
The data were collected and compiled by Florian Altermatt (FA) and Ian S. Pearse (IP). Please refer to the corresponding article in "The American Naturalist" titled "Similarity and specialization of the larval versus adult diet of European butterflies and moths" by these two authors as well as all original data-sources when using these data.
FA is at the Swiss Federal Institute of Aquatic Science and Technology (Eawag), Department of Aquatic Ecology, Überlandstrasse 133, CH-8600 Dübendorf, Switzerland. Email: [email protected]
IP is at the University of California - Davis, Department of Entomology, 1 Shields Ave., Davis, CA 95616, USA. Email: [email protected]
Dryad_Family_data
No full textThe table gives summary values on the number of plant species used as food plants by Lepidoptera larvae and as nectaring plants by the adults (mean number of plants used by a species, sd = standard deviation, min = minimum, max = maximum number), given separately for each Lepidoptera family. NA = not applicable. The data were collected and compiled by Florian Altermatt (FA) and Ian S. Pearse (IP). Please refer to the corresponding article in "The American Naturalist" titled "Similarity and specialization of the larval versus adult diet of European butterflies and moths" by these two authors as well as all original data-sources when using these data.
FA is at the Swiss Federal Institute of Aquatic Science and Technology (Eawag), Department of Aquatic Ecology, Überlandstrasse 133, CH-8600 Dübendorf, Switzerland. Email: [email protected]
IP is at the University of California - Davis, Department of Entomology, 1 Shields Ave., Davis, CA 95616, USA. Email: [email protected]
Dryad_tree_Lepidoptera
No full textThe file gives the directory tree file compiled from various sources (see article by Altermatt and Pearse and corresponding appendix). This phylogenetic tree covers all species (to the subfamily level) used in the article. The file is in "Newick format" and can be opened with the statistic software R.
The data were collected and compiled by Florian Altermatt (FA) and Ian S. Pearse (IP). Please refer to the corresponding article in "The American Naturalist" titled "Similarity and specialization of the larval versus adult diet of European butterflies and moths" by these two authors as well as all original data-sources when using these data.
FA is at the Swiss Federal Institute of Aquatic Science and Technology (Eawag), Department of Aquatic Ecology, Überlandstrasse 133, CH-8600 Dübendorf, Switzerland. Email: [email protected]
IP is at the University of California - Davis, Department of Entomology, 1 Shields Ave., Davis, CA 95616, USA. Email: [email protected]
lucarraro/metaecosystem_RCC: Meta-Ecosystem RCC
No full textMATLAB and R scripts supporting "Meta-ecosystem dynamics drive the spatial distribution of functional groups in river networks" by Claire Jacquet, Luca Carraro and Florian Altermatt
Morphological diversity within the order of Amphipoda.
No full text<p>Three (of the in total 29) different species/species complexes known from Switzerland are shown: A) <i>Gammarus fossarum</i> complex, B) <i>Gammarus roeseli</i> and C) <i>Dikerogammarus villosus</i>. <i>G. fossarum</i> is native to Switzerland, <i>G. roeseli</i> is a non-native species that arrived in Switzerland around 1850, and <i>D. villosus</i> is a non-native species that arrived in Switzerland in the late 1990s. The scale bar is equivalent to 1 cm and gives approximate size differences between the species. The diverse color patterns visible in these pictures of living animals are completely lost in specimens preserved in alcohol. All pictures by Florian Altermatt.</p
Going Beyond Counting First Authors in Author Co-citation Analysis
Full text linkThe present study examines one of the fundamental aspects of author co-citation analysis (ACA) - the way co-citation
counts are defined. Co-citation counting provides the data on which all subsequent statistical analyses and mappings
are based, and we compare ACA results based on two different types of co-citation counting - the traditional type that
only counts the first one among a cited work's authors on the one hand and a non-traditional type that takes into
account the first 5 authors of a cited work on the other hand. Results indicate that the picture produced through this non-traditional author co-citation counting contains more coherent author groups and is therefore considerably clearer. However, this picture represents fewer specialties in the research field being studied than that produced through the traditional first-author co-citation counting when the same number of top-ranked authors is selected and analyzed. Reasons for these effects are discussed
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