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48 results for “artificial communities”
Artificial Communities Experiment: Seedling growth
This study considers the relative role of competition and facilitation in primary succession of the boreal forest floodplain of Bonanza Creek Experimental Forest. Alder (Alnus tenuifolia Nutt.) is an early colonist of young floodplain sites, where it contributes greatly to soil development through the addition of nitrogen to the soil. White spruce (Picea glauca (Moench.) Voss) typically colonizes such sites later; it becomes established beneath a canopy of alder and willow (Salix spp.) which is sometimes overtopped by young balsam poplar (Populus balsamifera L.). The alder may potentially influence white spruce both positively and negatively. Possible facilitative effects include protection of small seedlings from excess heat or heavy siltation accompanying flooding and addition of soil nitrogen, an effect that may extend for many years. Competition for light (and other resources) before the white spruce has overtopped the alder canopy may prove to be a major negative effects. This study seeks to determine the net balance of these effects on the floodplain successional sequence.
Artificial Communities Experiment: Predictor Variables
This study considers the relative role of competition and facilitation in primary succession of the boreal forest floodplain of Bonanza Creek Experimental Forest. Alder (Alnus tenuifolia Nutt.) is an early colonist of young floodplain sites, where it contributes greatly to soil development through the addition of nitrogen to the soil. White spruce (Picea glauca (Moench.) Voss) typically colonizes such sites later; it becomes established beneath a canopy of alder and willow (Salix spp.) which is sometimes overtopped by young balsam poplar (Populus balsamifera L.). The alder may potentially influence white spruce both positively and negatively. Possible facilitative effects include protection of small seedlings from excess heat or heavy siltation accompanying flooding and addition of soil nitrogen, an effect that may extend for many years. Competition for light (and other resources) before the white spruce has overtopped the alder canopy may prove to be a major negative effects. This study seeks to determine the net balance of these effects on the floodplain successional sequence.
Artificial Communities Experiment: Alder Seedlings
This study considers the relative role of competition and facilitation in primary succession of the boreal forest floodplain of Bonanza Creek Experimental Forest. Alder (Alnus tenuifolia Nutt.) is an early colonist of young floodplain sites, where it contributes greatly to soil development through the addition of nitrogen to the soil. White spruce (Picea glauca (Moench.) Voss) typically colonizes such sites later; it becomes established beneath a canopy of alder and willow (Salix spp.) which is sometimes overtopped by young balsam poplar (Populus balsamifera L.). The alder may potentially influence white spruce both positively and negatively. Possible facilitative effects include protection of small seedlings from excess heat or heavy siltation accompanying flooding and addition of soil nitrogen, an effect that may extend for many years. Competition for light (and other resources) before the white spruce has overtopped the alder canopy may prove to be a major negative effects. This study seeks to determine the net balance of these effects on the floodplain successional sequence.
Artificial Communities Experiment: Species Data for Ordination
This study considers the relative role of competition and facilitation in primary succession of the boreal forest floodplain of Bonanza Creek Experimental Forest. Alder (Alnus tenuifolia Nutt.) is an early colonist of young floodplain sites, where it contributes greatly to soil development through the addition of nitrogen to the soil. White spruce (Picea glauca (Moench.) Voss) typically colonizes such sites later; it becomes established beneath a canopy of alder and willow (Salix spp.) which is sometimes overtopped by young balsam poplar (Populus balsamifera L.). The alder may potentially influence white spruce both positively and negatively. Possible facilitative effects include protection of small seedlings from excess heat or heavy siltation accompanying flooding and addition of soil nitrogen, an effect that may extend for many years. Competition for light (and other resources) before the white spruce has overtopped the alder canopy may prove to be a major negative effects. This study seeks to determine the net balance of these effects on the floodplain successional sequence.
Data from: Supervised classification of plant communities with artificial neural networks
<p>This dataset was used to test the performance of artificial neural networks for supervised classification of plant communities, published in:</p><p>Černá L. & Chytrý M. (2005) Supervised classification of plant communities with artificial neural networks. <i>Journal of Vegetation Science</i> 16, 407-414. https://doi.org/10.1111/j.1654-1103.2005.tb02380.x</p><p>The meaning of the individual columns (separated by semicolons) in the file is as follows (for details see the above-mentioned article):</p><ul><li>Plot no - unique number of the vegetation plot</li><li>Group expert - plot membership in classes 1-11 of the expert classification</li><li>Subset expert random B - assignment of the plot to the training, selection, test or ignored data subset, using the random selection of the training (and selection) subset, for the expert classification</li><li>Subset expert dg species B - assignment of the plot to the training, selection, test or ignored data subset, using the selection of the training (and selection) subset by diagnostic species, for the expert classification</li><li>Assignment expert random - a class assignment of the plot by the MLP classifier, when trained with the randomly selected training (and selection) subset, for expert classification</li><li>Assignment expert dg-sp - a class assignment of the plot by the MLP classifier, when trained with the plots rich in diagnostic species contained in the training (and selection) subset, for expert classification</li><li>Group cluster - plot membership in classes 1-11 of the numerical classification</li><li>Subset cluster random - assignment of the plot to the training, selection, test or ignored data subset, using the random selection of the training (and selection) subset, for numerical classification</li><li>Subset cluster dg species - assignment of the plot to the training, selection, test or ignored data subset, using the selection of the training (and selection) subset by diagnostic species, for expert classification, for numerical classification</li><li>Assignment cluster random - class assignment of the plot by the MLP classifier, when trained with the randomly selected training (and selection) subset, for expert classification, for numerical classification</li><li>Assignment cluster dg-sp - class assignment of the plot by the MLP classifier, when trained with the plots rich in diagnostic species contained in the training (and selection) subset, for expert classification, for numerical classification </li><li>598 species, with cover/abundance estimates on an ordinal scale of 1-9</li></ul>
Fig. 4 in Microcrustacean (Cladocera, Copepoda) Communities In Artificial Lakes In The Region Of The North Hungarian Mountains, With Special Reference To The Adventive Species
Fig. 4. Occurrences of the non-indigenous microcrustacean species in the investigated artificial lakes of north-eastern Hungary. Abbrev.: Eurytemora velox: +, Daphnia ambigua: ▲, Pleuroxus denticu-
Fig. 1 in Microcrustacean (Cladocera, Copepoda) Communities In Artificial Lakes In The Region Of The North Hungarian Mountains, With Special Reference To The Adventive Species
Fig. 1. Species accumulation curves of the fish ponds for total microcrustaceans (a) and for cladocerans and copepods separately (b)
Fig. 3 in Microcrustacean (Cladocera, Copepoda) Communities In Artificial Lakes In The Region Of The North Hungarian Mountains, With Special Reference To The Adventive Species
Fig. 3. Frequency of occurrence (incl. species occurring in at least 5 fish ponds). Abbrev.: Chy_sph – Chydorus sphaericus, Bos_lon – Bosmina longirostris, Cyc_vic – Cyclops vicinus, Dap_cuc – Daphnia cucullata, Euc_ser – Eucyclops serrulatus, Aca_tra – Acanthocyclops trajani, Eud_gra – Eudiaptomus gracilis, Mac_alb – Macrocyclops albidus, Ple_adu – Pleuroxus aduncus, Sim_vet – Simocephalus vetulus, Mac_lat – Macrothrix laticornis, Euc_spe – Eucyclops speratus, The_oit – Thermocyclops oithonoides, Nit_hib – Nitocra hibernica, Alo_rec – Alona rectangula, Sca_muc – Scaphole-
Fig. 5 in Microcrustacean (Cladocera, Copepoda) Communities In Artificial Lakes In The Region Of The North Hungarian Mountains, With Special Reference To The Adventive Species
Fig. 5. The relative frequencies of Eurytemora velox (white), Eudiaptomus gracilis (black) and all other microcrustacean species (grey) in those fish ponds where the invasive E. velox was present
Community diversity determines the evolution of synthetic bacterial communities under artificial selection
<p>These data and script are related to the article entitled "Community diversity determines the evolution of synthetic bacterial communities under artificial selection". This study reports the results of an experiment that involved bacterial communities differing for their richness level (1, 2, 4, 8, 16 species) and subjected to artificial selection or not. The property under selection was the optical density (OD). All the data needed to reproduce the figures and tables presented in the manuscript are provided.</p>
Fig. 9 in Phenology And Population Structure Of Forest Herbaceous Species In Artificial And Natural Communities In The Steppe Zone Of Ukraine
Fig. 9. Influence of monthly average temperatures on date of flowering onset: Helleborus caucasica (1), Anemonoides nemorosa (2), Ficaria verna (3), Corydalis solida (4), Gymnospermum odessanum (5), C. marshalliana (6), Viola odorata (7), Anemonoides ranunculoides (8). See explanations in the text.
Fig. 12 in Phenology And Population Structure Of Forest Herbaceous Species In Artificial And Natural Communities In The Steppe Zone Of Ukraine
Fig. 12. Dependence of variability of the date (expressed by coefficient of variation) of flowering onset onto its average value (a) and amplitude of variations of monthly average temperatures (b) for 7 years of observations.
Fig. 4 in Phenology And Population Structure Of Forest Herbaceous Species In Artificial And Natural Communities In The Steppe Zone Of Ukraine
Fig. 4. The age structure of populations in artificial plant community: a – association of Glechoma hederaceae L. + Pulmonaria obscura (1) + Viola odorata + Lysimachia nummularia L.; association Pulmonaria obscura + Viola odorata + Viola alba + Primula veris (2); b – association of Hepatica nobilis (3) + Anemonoides blanda (4) + Viola odorata + Ficaria verna (5).
Fig. 5 in Phenology And Population Structure Of Forest Herbaceous Species In Artificial And Natural Communities In The Steppe Zone Of Ukraine
Fig. 5. The age structure of populations of spring ephemeroids in 2011–2012; a – Corydalis solida, b – Anemonoides ranunculoides, c – A. blanda.
Fig. 11 in Phenology And Population Structure Of Forest Herbaceous Species In Artificial And Natural Communities In The Steppe Zone Of Ukraine
Fig. 11. Dependence of flowering phenophase-starting date onto precipitation in forest herbaceous perennials. a: Anemonoides nemorosa (1), Corydalis marshalliana (2), Anemonoides ranunculoides (3), Gymnospermum odessanum (4), Viola odorata (5), Anemonoides blanda (6). b: Anemona sylvestris (7), November precipitation; Hepatica nobilis (8), July precipitation; Hepatica nobilis (9), January precipitation; Anemona sylvestris previous year July precipitation (10)".
Fig. 3 in Phenology And Population Structure Of Forest Herbaceous Species In Artificial And Natural Communities In The Steppe Zone Of Ukraine
Fig. 3. The age structure of populations in artificial plant community: a – association of Ficaria verna (1) + Corydalis solida (2) + Viola odorata + Anemonoides blanda (3) + Anemonoides ranunculoides, b – Corydalis paczoskii (5)" - "Corydalis paczoskii (4)"; "Gymnospermium odessanum (6)" – "Gymnospermium odessanum (5)".
Fig. 6 in Phenology And Population Structure Of Forest Herbaceous Species In Artificial And Natural Communities In The Steppe Zone Of Ukraine
Fig. 6. The age structure of populations in natural plant community: a – association of Corydalis solida (1) + Anemonoides ranunculoides (2) + Ficaria verna (3) + Corydalis marschalliana (4); b –Association Ficaria verna (5) + Corydalis solida (6) + Viola odorata + Fragaria vesca.
Fig. 7 in Phenology And Population Structure Of Forest Herbaceous Species In Artificial And Natural Communities In The Steppe Zone Of Ukraine
Fig. 7. The age structure of populations of spring ephemeroids under artificial plant community conditions (1) and natural ravine forest (2): a – Corydalis solida, b – Ficaria verna, c – Anemonoides ranunculoides.
Fig. 1 in Phenology And Population Structure Of Forest Herbaceous Species In Artificial And Natural Communities In The Steppe Zone Of Ukraine
Fig. 1. The age structure of populations in artificial plant community: a – association of Ficaria verna (1) + Anemonoides blanda (2) + Corydalis solida (3), b – "Ficaria verna (3)" to "Ficaria verna (4)"; "Anemonoides blanda (4)" - "Anemonoides blanda (5)"; "Corydalis solida (5)" – "Corydalis solida (6)".
Fig. 10 in Phenology And Population Structure Of Forest Herbaceous Species In Artificial And Natural Communities In The Steppe Zone Of Ukraine
Fig. 10. Influence of January-April total precipitation value on the date of Primula veris budding onset.
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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.