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151 results for “ecological integrity”
FIGURE 19 in The integration processes of the distributional patterns in the Mexican Transition Zone: Phyletic, paleogeographic and ecological factors of a case study
FIGURE 19. Distribution of the O. aureofuscus species complex.
FIGURE 17 in The integration processes of the distributional patterns in the Mexican Transition Zone: Phyletic, paleogeographic and ecological factors of a case study
FIGURE 17. Distribution of the O. fuscus species complex.
FIGURE 16 in The integration processes of the distributional patterns in the Mexican Transition Zone: Phyletic, paleogeographic and ecological factors of a case study
FIGURE 16. Distribution of the O. chevrolati species complex.
FIGURE 10 in The integration processes of the distributional patterns in the Mexican Transition Zone: Phyletic, paleogeographic and ecological factors of a case study
FIGURE 10. Digital Elevation Model of the Mexican Transition Zone.
FIGURE 6 in The integration processes of the distributional patterns in the Mexican Transition Zone: Phyletic, paleogeographic and ecological factors of a case study
FIGURE 6. Onthophagus chevrolati, male dorsal view.
FIGURE 2 in The integration processes of the distributional patterns in the Mexican Transition Zone: Phyletic, paleogeographic and ecological factors of a case study
FIGURE 2. Onthophagus vespertilio, male dorsal view.
FIGURE 1 in The integration processes of the distributional patterns in the Mexican Transition Zone: Phyletic, paleogeographic and ecological factors of a case study
FIGURE 1. The origins of the American Onthophagus modified from Palestrini (1985).
FIGURE 12 in The integration processes of the distributional patterns in the Mexican Transition Zone: Phyletic, paleogeographic and ecological factors of a case study
FIGURE 12. Distribution of O. vespertilio.
FIGURE 7 in The integration processes of the distributional patterns in the Mexican Transition Zone: Phyletic, paleogeographic and ecological factors of a case study
FIGURE 7. Onthophagus cyanellus, male dorsal view.
FIGURE 4 in The integration processes of the distributional patterns in the Mexican Transition Zone: Phyletic, paleogeographic and ecological factors of a case study
FIGURE 4. Onthophagus brevifrons, male dorsal view.
FIGURE 5 in The integration processes of the distributional patterns in the Mexican Transition Zone: Phyletic, paleogeographic and ecological factors of a case study
FIGURE 5. Onthophagus moroni, male dorsal view.
FIGURE 3 in The integration processes of the distributional patterns in the Mexican Transition Zone: Phyletic, paleogeographic and ecological factors of a case study
FIGURE 3. Onthophagus halffteri, male dorsal view.
Data from: A novel integrative method for measuring body condition in ecological studies based on physiological dysregulation
1. The body condition of free-ranging animals affects their response to stress, decisions, ability to fulfil vital needs and, ultimately, fitness. However, this key attribute in ecology remains difficult to assess, and there is a clear need for more integrative measures than the common univariate proxies. 2. We propose a systems biology approach that positions individuals along a gradient from a 'normal/optimal' to 'abnormal/suboptimal' physiological state based on Mahalanobis distance computed from physiological biomarkers. We previously demonstrated the validity of this approach for studying ageing in humans; here, we illustrate its broad potential for ecological studies. 3. As an example, we used biomarker data on shorebirds and found that birds with an abnormal condition had a lower maximal thermogenic capacity and higher scores of inflammation, with important implications for their ecology and health. Moreover, Mahalanobis distance captured a signal of condition not detected by the individual biomarkers. 4. Overall, our results on birds and humans show that individuals with abnormal physiologies are indeed in worse condition. Moreover, our approach appears not to be particularly sensitive to which set of biomarkers is used to assess condition. Consequently, it could be applied easily to existing ecological data sets. 5. Our approach provides a general, powerful way to measure condition that helps resolve confusion as to how to deal with complex interactions and interdependence among multiple physiological and condition measures. It can be applied directly to topics such as the effect of environmental quality on body condition, risks of health outcomes, mechanisms of adaptive phenotypic plasticity, and mechanisms behind long-term processes such as senescence.
Supplementary material 1 from: Pissaridou P, Cantonati M, Bouchez A, Tziortzis I, Dörflinger G, Vasquez MI (2021) How can integrated morphotaxonomy- and metabarcoding-based diatom assemblage analyses best contribute to the ecological assessment of streams? Metabarcoding and Metagenomics 5: e68438. https://doi.org/10.3897/mbmg.5.68438
Table S1
Supplementary material 2 from: Pissaridou P, Cantonati M, Bouchez A, Tziortzis I, Dörflinger G, Vasquez MI (2021) How can integrated morphotaxonomy- and metabarcoding-based diatom assemblage analyses best contribute to the ecological assessment of streams? Metabarcoding and Metagenomics 5: e68438. https://doi.org/10.3897/mbmg.5.68438
Figure S1
Data from: Integration of molecular, ecological, morphological and endosymbiont data for species delimitation within the Pnigalio soemius complex (Hymenoptera: Eulophidae)
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Data from: Advancing population ecology with integral projection models: a practical guide
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Data from: Patterns and processes in complex landscapes: testing alternative biogeographic hypotheses through integrated analysis of phylogeography and community ecology in Hawai'i
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Data from: Woodstoich III: integrating tools of nutritional geometry and ecological stoichiometry to advance nutrient budgeting and the prediction of consumer-driven nutrient recycling
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Data from: A novel integrative method for measuring body condition in ecological studies based on physiological dysregulation
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Allen Brain Atlas
Allen Brain Atlas is an Allen Institute collection of brain map atlases, datasets, APIs, and analysis tools covering mouse, human, and non-human primate brain resources.
Annotated Behaviour and Observability Dataset (ABODe)
ABODe is a University of Edinburgh DataShare dataset for behavior classification in group-housed mice using home-cage video, identities, bounding boxes, ground-plate positions, and annotator labels.
DANDI Archive for NWB datasets
DANDI is a BRAIN Initiative archive for publishing and sharing neurophysiology data, including electrophysiology, optophysiology, and behavioral data packaged as NWB and related standards.
International Brain Laboratory public data
The International Brain Laboratory public data releases expose standardized mouse decision-making experiments, including Neuropixels recordings, widefield calcium imaging, behavior, and session metadata accessed through the ONE API.
OpenNeuro
OpenNeuro is a free, open platform for sharing neuroimaging datasets, with public search, dataset pages, and download paths for web, S3, DataLad, and the OpenNeuro CLI.