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93 results for “zonation”
Effects of salt marsh vegetation zonation on carbon and nitrogen cycling in Connecticut
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Rhizophora zonation, salinity, and nutrients in the western Atlantic
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Data from: Interspecific dominance via vocal interactions mediates altitudinal zonation in Neotropical singing mice
Interspecific aggression between ecologically similar species may influence geographic limits by mediating competitive exclusion at the range edge. Advertisement signals that mediate competitive interactions within species may also provide social information that contributes to behavioral dominance and spatial segregation among species. We studied the mechanisms underlying altitudinal range limits in Neotropical singing mice (Scotinomys), a genus of muroid rodent in which males vocalize to repel rivals and attract mates. We first delineated replacement zones and described temperature regimes on three mountains in Costa Rica and Panama where Chiriquí singing mice (S. xerampelinus) abruptly replace Alston's singing mice (S. teguina). Next, we conducted interspecific behavioral trials and reciprocal removal experiments to examine if interspecific aggression mediated species replacement. Finally, we performed reciprocal playback experiments to investigate whether response to song matched competitive interactions. Behavioral trials and removal experiments suggest that S. xerampelinus is behaviorally dominant and excludes S. teguina from higher, cooler altitudes. Playback experiments indicate that subordinate S. teguina is silenced and repelled by heterospecific song, whereas S. xerampelinus responded to heterospecifics with approach and song rates comparable to responses to conspecifics. Thus, interspecific communication reflects underlying dominance and suggests that acoustic signaling contributes to altitudinal zonation of ecologically similar congeners. Our findings implicate the use of social information in structuring spatial distributions of animal communities across landscapes and provide insight into how large-scale patterns are generated by individual interactions.
Dataset for "Joint zonated quantification of multiple parameters in hepatic lobules"
<p>Datasets for the publication "Joint zonated quantification of multiple parameters in hepatic lobules", available at Research Square <a href="https://doi.org/10.21203/rs.3.rs-4764718/v1">https://doi.org/10.21203/rs.3.rs-4764718/v1</a></p>
Priority areas for boreal songbird conservation in Canada: Results for 128 scenarios based on Zonation conservation planning software
<p>Priority areas for boreal songbird conservation in Canada: Results for 128 scenarios based on Zonation conservation planning software</p> <p>Published in:<br> Stralberg, D., A. Camfield, M. Carlson, C. Lauzon, N. K. S. Barker, A. Westwood, and F. K. A. Schmiegelow. in press. Strategies for identifying priority areas for songbird conservation in Canada's boreal forest. Avian Conservation and Ecology.</p> <p>Scenarios: <br> -----------------<br> # Name<br> 1 Representation<br> 2 Representation + Disturbance<br> 3 Representation + BCR Strata<br> 4 Representation + BCR Strata + Disturbance<br> 5 Representation + Forest Birds<br> 6 Representation + Disturbance + Forest Birds<br> 7 Representation + BCR Strata + Forest Birds <br> 8 Representation + BCR Strata + Disturbance + Forest Birds<br> 9 Representation + Conservation Status<br> 10 Representation + Disturbance + Conservation Status<br> 11 Representation + BCR Strata + Conservation Status<br> 12 Representation + BCR Strata + Disturbance + Conservation Status<br> 13 Representation + Forest Birds + Conservation Status<br> 14 Representation + Disturbance + Forest Birds + Conservation Status<br> 15 Representation + BCR Strata + Forest Birds + Conservation Status<br> 16 Representation + BCR Strata + Disturbance + Forest Birds + Conservation Status<br> 17 Representation + Current Uncertainty<br> 18 Representation + Current Uncertainty + Disturbance<br> 19 Representation + Current Uncertainty + BCR Strata<br> 20 Representation + Current Uncertainty + BCR Strata + Disturbance<br> 21 Representation + Current Uncertainty + Forest Birds<br> 22 Representation + Current Uncertainty + Disturbance + Forest Birds<br> 23 Representation + Current Uncertainty + BCR Strata + Forest Birds<br> 24 Representation + Current Uncertainty + BCR Strata + Disturbance + Forest Birds<br> 25 Representation + Current Uncertainty + Conservation Status<br> 26 Representation + Current Uncertainty + Disturbance + Conservation Status<br> 27 Representation + Current Uncertainty + BCR Strata + Conservation Status<br> 28 Representation + Current Uncertainty + BCR Strata + Disturbance + Conservation Status<br> 29 Representation + Current Uncertainty + Forest Birds + Conservation Status<br> 30 Representation + Current Uncertainty + Disturbance + Forest Birds + Conservation Status<br> 31 Representation + Current Uncertainty + BCR Strata + Forest Birds + Conservation Status<br> 32 Representation + Current Uncertainty + BCR Strata + Disturbance + Forest Birds + Conservation Status<br> 33 Representation + Current/Future Uncertainty<br> 34 Representation + Current/Future Uncertainty + Disturbance<br> 35 Representation + Current/Future Uncertainty + BCR Strata<br> 36 Representation + Current/Future Uncertainty + BCR Strata + Disturbance<br> 37 Representation + Current/Future Uncertainty + Forest Birds<br> 38 Representation + Current/Future Uncertainty + Disturbance + Forest Birds<br> 39 Representation + Current/Future Uncertainty + BCR Strata + Forest Birds<br> 40 Representation + Current/Future Uncertainty + BCR Strata + Disturbance + Forest Birds<br> 41 Representation + Current/Future Uncertainty + Conservation Status<br> 42 Representation + Current/Future Uncertainty + Disturbance + Conservation Status<br> 43 Representation + Current/Future Uncertainty + BCR Strata + Conservation Status<br> 44 Representation + Current/Future Uncertainty + BCR Strata + Disturbance + Conservation Status<br> 45 Representation + Current/Future Uncertainty + Forest Birds + Conservation Status<br> 46 Representation + Current/Future Uncertainty + Disturbance + Forest Birds + Conservation Status<br> 47 Representation + Current/Future Uncertainty + BCR Strata + Forest Birds + Conservation Status<br> 48 Representation + Current/Future Uncertainty + BCR Strata + Disturbance + Forest Birds + Conservation Status<br> 49 Representation + Future Uncertainty<br> 50 Representation + Future Uncertainty + Disturbance<br> 51 Representation + Future Uncertainty + BCR Strata<br> 52 Representation + Future Uncertainty + BCR Strata + Disturbance<br> 53 Representation + Future Uncertainty + Forest Birds<br> 54 Representation + Future Uncertainty + Disturbance + Forest Birds<br> 55 Representation + Future Uncertainty + BCR Strata + Forest Birds<br> 56 Representation + Future Uncertainty + BCR Strata + Disturbance + Forest Birds<br> 57 Representation + Future Uncertainty + Conservation Status<br> 58 Representation + Future Uncertainty + Disturbance + Conservation Status<br> 59 Representation + Future Uncertainty + BCR Strata + Conservation Status<br> 60 Representation + Future Uncertainty + BCR Strata + Disturbance + Conservation Status<br> 61 Representation + Future Uncertainty + Forest Birds + Conservation Status<br> 62 Representation + Future Uncertainty + Disturbance + Forest Birds + Conservation Status<br> 63 Representation + Future Uncertainty + BCR Strata + Forest Birds + Conservation Status<br> 64 Representation + Future Uncertainty + BCR Strata + Disturbance + Forest Birds + Conservation Status<br> 65 Diversity<br> 66 Diversity + Disturbance<br> 67 Diversity + BCR Strata<br> 68 Diversity + BCR Strata + Disturbance<br> 69 Diversity + Forest Birds<br> 70 Diversity + Disturbance + Forest Birds<br> 71 Diversity + BCR Strata + Forest Birds <br> 72 Diversity + BCR Strata + Disturbance + Forest Birds<br> 73 Diversity + Conservation Status<br> 74 Diversity + Disturbance + Conservation Status<br> 75 Diversity + BCR Strata + Conservation Status<br> 76 Diversity + BCR Strata + Disturbance + Conservation Status<br> 77 Forest Birds + Conservation Status<br> 78 Disturbance + Forest Birds + Conservation Status<br> 79 BCR Strata + Forest Birds + Conservation Status<br> 80 BCR Strata + Disturbance + Forest Birds + Conservation Status<br> 81 Diversity + Current Uncertainty<br> 82 Diversity + Current Uncertainty + Disturbance<br> 83 Diversity + Current Uncertainty + BCR Strata<br> 84 Diversity + Current Uncertainty + BCR Strata + Disturbance<br> 85 Diversity + Current Uncertainty + Forest Birds<br> 86 Diversity + Current Uncertainty + Disturbance + Forest Birds<br> 87 Diversity + Current Uncertainty + BCR Strata + Forest Birds<br> 88 Diversity + Current Uncertainty + BCR Strata + Disturbance + Forest Birds<br> 89 Diversity + Current Uncertainty + Conservation Status<br> 90 Diversity + Current Uncertainty + Disturbance + Conservation Status<br> 91 Diversity + Current Uncertainty + BCR Strata + Conservation Status<br> 92 Diversity + Current Uncertainty + BCR Strata + Disturbance + Conservation Status<br> 93 Diversity + Current Uncertainty + Forest Birds + Conservation Status<br> 94 Diversity + Current Uncertainty + Disturbance + Forest Birds + Conservation Status<br> 95 Diversity + Current Uncertainty + BCR Strata + Forest Birds + Conservation Status<br> 96 Diversity + Current Uncertainty + BCR Strata + Disturbance + Forest Birds + Conservation Status<br> 97 Diversity + Current/Future Uncertainty<br> 98 Diversity + Current/Future Uncertainty + Disturbance<br> 99 Diversity + Current/Future Uncertainty + BCR Strata<br> 100 Diversity + Current/Future Uncertainty + BCR Strata + Disturbance<br> 101 Diversity + Current/Future Uncertainty + Forest Birds<br> 102 Diversity + Current/Future Uncertainty + Disturbance + Forest Birds<br> 103 Diversity + Current/Future Uncertainty + BCR Strata + Forest Birds<br> 104 Diversity + Current/Future Uncertainty + BCR Strata + Disturbance + Forest Birds<br> 105 Diversity + Current/Future Uncertainty + Conservation Status<br> 106 Diversity + Current/Future Uncertainty + Disturbance + Conservation Status<br> 107 Diversity + Current/Future Uncertainty + BCR Strata + Conservation Status<br> 108 Diversity + Current/Future Uncertainty + BCR Strata + Disturbance + Conservation Status<br> 109 Diversity + Current/Future Uncertainty + Forest Birds + Conservation Status<br> 110 Diversity + Current/Future Uncertainty + Disturbance + Forest Birds + Conservation Status<br> 111 Diversity + Current/Future Uncertainty + BCR Strata + Forest Birds + Conservation Status<br> 112 Diversity + Current/Future Uncertainty + BCR Strata + Disturbance + Forest Birds + Conservation Status<br> 113 Diversity + Future Uncertainty<br> 114 Diversity + Future Uncertainty + Disturbance<br> 115 Diversity + Future Uncertainty + BCR Strata<br> 116 Diversity + Future Uncertainty + BCR Strata + Disturbance<br> 117 Diversity + Future Uncertainty + Forest Birds<br> 118 Diversity + Future Uncertainty + Disturbance + Forest Birds<br> 119 Diversity + Future Uncertainty + BCR Strata + Forest Birds<br> 120 Diversity + Future Uncertainty + BCR Strata + Disturbance + Forest Birds<br> 121 Diversity + Future Uncertainty + Conservation Status<br> 122 Diversity + Future Uncertainty + Disturbance + Conservation Status<br> 123 Diversity + Future Uncertainty + BCR Strata + Conservation Status<br> 124 Diversity + Future Uncertainty + BCR Strata + Disturbance + Conservation Status<br> 125 Diversity + Future Uncertainty + Forest Birds + Conservation Status<br> 126 Diversity + Future Uncertainty + Disturbance + Forest Birds + Conservation Status<br> 127 Diversity + Future Uncertainty + BCR Strata + Forest Birds + Conservation Status<br> 128 Diversity + Future Uncertainty + BCR Strata + Disturbance + Forest Birds + Conservation Status</p> <p><br> Projection information<br> -------------------<br> "+proj=lcc +lat_1=49 +lat_2=77 +lat_0=0 +lon_0=-95 +x_0=0 +y_0=0 +ellps=GRS80 +units=m +no_defs"<br> -------------------<br> Projection LAMBERT<br> Spheroid GRS80<br> Units METERS<br> Zunits NO<br> Xshift 0.0<br> Yshift 0.0<br> Parameters <br> 49 0 0.0 /* 1st standard parallel<br> 77 0 0.0 /* 2nd standard parallel<br> -95 0 0.0 /* central meridian<br> 0 0 0.0 /* latitude of projection's origin<br> 0.0 /* false easting (meters)<br> 0.0 /* false northing (meters)</p>
FIG. 5 in Elevational zonation of birds, insectivores, rodents and primates on the slopes of the Andringitra Massif, Madagascar
FIG. 5. Plots displaying the percentage total representation of various feeding guilds and strata utilization for mammals with respect to the total known mammal fauna of that zone.
FIG. 4 in Elevational zonation of birds, insectivores, rodents and primates on the slopes of the Andringitra Massif, Madagascar
FIG. 4. Plots displaying the percentage total representation of various feeding guilds and strata utilization for birds with respect to the total known avifauna of that zone.
FIG. 1 in Elevational zonation of birds, insectivores, rodents and primates on the slopes of the Andringitra Massif, Madagascar
FIG. 1. Map of the Parc National d'Andringitra, study sites and surrounding localities mentioned in the text.
Local human impacts interact with geography to drive benthic community depth zonation on contemporary coral reefs
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Data from: Interspecific dominance via vocal interactions mediates altitudinal zonation in Neotropical singing mice
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Zonation Prioritization of Urban Biodiversity Quality in Helsinki Metropolitan Area, Finland
<p><strong>Zonation prioritization of urban biodiversity in Helsinki Metropolitan area, Finland</strong></p> <p>Zonation prioritization results of manuscript Jalkanen, Vierikko & Moilanen 2020, Spatial Prioritization for Urban Biodiversity Quality Using Biotope Maps and Expert Opinion, bublished in <em>Urban forestry and Urban Greening</em> (doi: <a href="https://doi.org/10.1016/j.ufug.2020.126586">https://doi.org/10.1016/j.ufug.2020.126586</a>). The area includes the cities Helsinki, Espoo, Kauniainen, and Vantaa, i.e. the capital region of Finland. Urban biotope scores, that this analysis builds upon, can be found in https://zenodo.org/record/1255899</p> <p>This data set includes the Zonation setting and output files (automatically named by Zonation). See Zonation manual (Moilanen et al. 2014, Zonation Version 4 Manual, Conservation biology informatics group, University of Helsinki) for more information. Input feature layers cannot be openly distributed as they base on urban biotope map that partly contains private information.</p> <p>Zonation results are based on expert elicitation and and on a biotope map that was compiled from multiple GIS data sources (see Supplementary 1 in the paper). Therefore, these results do not replace in-depth ecological inventories assessments. Not for planning purposes. No warrant about the correctness, flawlessness, or feasibility of the results is given. Data should be properly cited.</p> <p> </p> <p><strong>Kaupunkibiodiversiteetin Zonation-priorisointitulokset pääkaupunkiseudulla</strong></p> <p>Zonation-priorisointitulokset tutkimusartikkelista Jalkanen, Vierikko & Moilanen 2020, <em>"</em>Spatial Prioritization for Urban Biodiversity Quality Using Biotope Maps and Expert Opinion", joka on julkaistu <em>Urban Forestry and Urban Greening</em> -julkaisusarjassa (doi: <a href="https://doi.org/10.1016/j.ufug.2020.126586">https://doi.org/10.1016/j.ufug.2020.126586</a>). Tutkimusalue käsittää pääkaupunkiseudun (Helsinki, Espoo, Kauniainen ja Vantaa). Analyysi perustuu kaupunkibiotooppien asiantuntijapisteytykselle, joka löytyy osoitteesta https://zenodo.org/record/1255899</p> <p>Tämä aineistopaketti sisältää Zonation-analyysin asetus- ja tulostiedostot (Zonationin automaattisesti nimeäminä). Lisätietoja saat Zonation-käyttöohjeesta (Moilanen ym. 2014, Zonation Version 4 Manual, Conservation biology informatics group, Helsingin yliopisto). Eliöryhmiä kuvaavat paikkatietokerroksia ei voida jakaa avoimesti, sillä ne perustuvat osittain luottamuksellisiin kartta-aineistoihin.</p> <p>Nämä Zonation-tulokset perustuvat asiantuntija-arvioihin sekä biotooppikarttaan, joka on koostettu lukuisista paikkatietolähteistä (tutkimusartikkelin Supplementary data 1). Nämä tulokset eivät siis korvaa tarkempia luontoselvityksiä. Ei sellaisenaan suunnittelukäyttöön. Minkäänlaisia takuita tulosten oikeellisuudesta, virheettömyydestä tai käytettävyydestä ei myönnetä. Aineistoon tulee viitata käytettäessä.</p>
Influence of soil type and vertical zonation on soil fungal communities associated with natural jack pine forests
<p>Natural jack pine forests established on sandy eskers and clayey soils represent a unique habitat in the boreal forest in northeastern Canada and are generally associated with well-differentiated soil horizons, but little is known regarding their soil fungal diversity and how soil type and vertical zonation would shape their communities. To address this question, we characterized soil fungal communities from litter, organic and mineral horizons in 18 natural jack pine forests in esker and clayey soils using ITS2 rDNA metabarcoding. Ectomycorrhizal fungi dominated the organic and mineral horizons in esker soils, while saprotrophic fungi were dominant in clayey soils. The dominance of ectomycorrhizal fungi coincided with higher C accumulation within the organic horizon in esker soils. The nutrient-poor and more acidic esker sites harbored less diverse ectomycorrhizal and saprotrophic communities than clayey soils. Several stress-tolerant and melanin-rich fungal taxa were indicators of esker soils. However, fungal communities were more distinct between horizons than soil types and soil type effects differed along the soil profile. Our findings highlight the need to fill knowledge gaps in soil fungal diversity associated with jack pine forests and pave the way for adapted and multi-resource forest management in esker forest ecosystems considering their underground fungal specificities.</p>
FIG. 3 in Elevational zonation of birds, insectivores, rodents and primates on the slopes of the Andringitra Massif, Madagascar
FIG. 3. Plots showing the relationship between mammal species richness and elevation.
FIG. 2 in Elevational zonation of birds, insectivores, rodents and primates on the slopes of the Andringitra Massif, Madagascar
FIG. 2. Plots showing the relationship between bird species richness and elevation.
Influence of soil type and vertical zonation on soil fungal communities associated with natural jack pine forests
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Epithelial zonation along the mammalian small intestine defines five discrete metabolic domains [Mouse_scRNA-seq]
GEO Series GSE201855. Mus musculus. 2 samples. Type: Expression profiling by high throughput sequencing.
RNA-Sequence of the liver after administration of adenovirus associated with metabolic liver zonation
GEO Series GSE282890. Mus musculus. 12 samples. Type: Expression profiling by high throughput sequencing.
Interplay between Netrin-1 and Norrin controls arteriovenous zonation of blood–retina barrier integrity
GEO Series GSE282775. Mus musculus. 5 samples. Type: Expression profiling by high throughput sequencing.
Enhancer grammar of liver cell types and hepatocyte zonation states [12K_MPRA]
GEO Series GSE218471. synthetic construct; Mus musculus. 20 samples. Type: Other.
The spatial zonation of the placental vasculature is specified by epigenetic mechanisms [bulk RNA-seq]
GEO Series GSE280085. Mus musculus. 6 samples. Type: Expression profiling by high throughput sequencing.
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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.