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583 results for “plant distributions”
Data from: Current and projected global distribution of Phytophthora cinnamomi, one of the world’s worst plant pathogens
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Data from: Do genetic drift and gene flow affect the geographic distribution of female plants in gynodioecious Lobelia siphilitica?
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Pasture trees contribute to structural heterogeneity and plant distributions in post-agricultural forests decades after canopy closure
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Foliar summer frost resistance measured via electrolyte leakage approach as related to plant distribution, community composition and performance
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How to account for the uncertainty from standard toxicity tests in species sensitivity distributions: an example in non-target plants
<p>Raw data sets (.txt format) for the seven case studies in the paper entitled "How to account for the uncertainty from standard toxicity tests in species sensitivity distributions: an example in non-target plants" submitted to PLOS One in July 2020.</p>
Data from: Climate, soil resources and microbial activity shape the distributions of mountain plants based on their functional traits
<p>While soil ecosystems undergo important modi cations due to global change, the e ect of soil properties on plant distributions is still poorly understood. Plant growth is not only controlled by soil physico-chemistry but also by microbial activities through the decomposition of organic matter and the recycling of nutrients essential for plants. A growing body of evidence also suggests that plant functional traits modulate spe- cies' response to environmental gradients. However, no study has yet contrasted the importance of soil physico-chemistry, microbial activities and climate on plant species distributions, while accounting for how plant functional traits can in uence species- speci c responses.</p> <p>Using hierarchical e ects in a multi-species distribution model, we investigate how<br> four functional traits related to resource acquisition (plant height, leaf carbon to nitro-<br> gen ratio, leaf dry matter content and speci c leaf area) modulate the response of<br> 44 plant species to climatic variables, soil physico-chemical properties and microbial 100 decomposition activity (i.e. exoenzymatic activities) in the French Alps.</p> <p>Our hierarchical trait-based model allowed to predict well 41 species according to the TSS statistic. In addition to climate, the combination of soil C/N, as a measure of organic matter quality, and exoenzymatic activity, as a measure of microbial decom- position activity, strongly improved predictions of plant distributions. Plant traits played an important role. In particular, species with conservative traits performed bet- ter under limiting nutrient conditions but were outcompeted by exploitative plants in more favorable environments.</p> <p>We demonstrate tight associations between microbial decomposition activity, plant functional traits associated to di erent resource acquisition strategies and plant dis- tributions. is highlights the importance of plant–soil linkages for mountain plant distributions. ese results are crucial for biodiversity modelling in a world where both climatic and soil systems are undergoing profound and rapid transformations.</p>
Figure 3 in Geographic distribution, host plants, and morphological variation of the currently radiating phytophagous ladybird beetle Henosepilachna diekei
Figure 3. Variation of the elytral pattern and abdominal melanism of Henosepilachna diekei. Dorsal view (top) and lateral view (middle) of habitus and ventral view of abdomen (bottom) in male specimens collected in Java (1–3), Kalimantan (4), Sulawesi (5, 6) and Lombok (7). Localities of collection were shown upper of each picture, and the host plants are denoted in the parentheses as M; Mikania, L; Leucas, A; Asystacea, C; "Coleus". Scale bar = 1 mm.
Figure 2 in Geographic distribution, host plants, and morphological variation of the currently radiating phytophagous ladybird beetle Henosepilachna diekei
Figure 2. Distribution and host-plant use of Henosepilachna diekei populations in South East Asia. The distribution of H. diekei was investigated in shaded islands/regions. Localities where the occurrence of H. diekei was observed were shown by the names and symbols for the host plants. Six beetle populations from five localities used for the morphological analysis were black-edged.
Figure 1 in Geographic distribution, host plants, and morphological variation of the currently radiating phytophagous ladybird beetle Henosepilachna diekei
Figure 1. Morphological characters of Henosepilachna diekei measured in the present study. (A) Dorsal and lateral views of habitus with measured body parts; BL, body length; PL, pronotum length; PW, pronotum width; EL, elytra length; EW, elytron width, EH, elytra height. (B) Lateral view of tegmen (PA, paramera; H, hair on penis guide; PG, penis guide). (C) Lateral view of penis (P, Penis; PA, ventral view of apical edge of penis).
Figure 6 in Geographic distribution, host plants, and morphological variation of the currently radiating phytophagous ladybird beetle Henosepilachna diekei
Figure 6. Variation in the structure of apical edge of penis in males of the seven populations of Henosepilachna diekei. Type I, emarginate (filled symbol); Type II, truncate (dark grey symbol); Type III, convex (light grey symbol). Solid line denotes the Wallace line. The number in each pie chart shows the number of specimen. The host plants were shown in the parentheses as M, Mikania; L, Leucas; D, Dicliptera; P, Plectranthus. The different letter on the right shoulder of each box indicates significant difference (P <0.05) after adjustment of P-value for multiple comparisons.
Figure 4 in Geographic distribution, host plants, and morphological variation of the currently radiating phytophagous ladybird beetle Henosepilachna diekei
Figure 4. Body length of seven populations of Henosepilachna diekei. (A) Females; (B) males. The host plants were denoted in the parentheses as M; Mikania, L; Leucas, D; Dicliptera, P; Plectranthus. The different letter on the right shoulder of each box indicates significant difference (P <0.05) after adjustment of P-value for multiple comparisons (NS, P ≥ 0.05).
Fig. 2 in Distribution patterns of selected insect populations on their host plants - an ecological study
Fig. 2: Illustration of those insects with their preferred host plants studied in the present contribution: (a) greenfly on the leaves of the common hazel, (b) mealybug on the leaves of the chervil, (c) sap beetle on the leaves of the nettle.
Fig. 1 in Distribution patterns of selected insect populations on their host plants - an ecological study
Fig. 1: (a) Basic types of distribution patterns in the animal kingdom: (1) regular distribution, (2) aggregated (clotted) distribution, (3) random distribution; (b) graphical method for the determination of the distribution pattern produced by a given animal population.
Fig. 3 in Distribution patterns of selected insect populations on their host plants - an ecological study
Fig. 3: Graphical determination of the distribution patterns of those species introduced in Fig. 2: (a) greenfly on the common hazel, (b) mealybug on the chervil, (c) sap beetle on the nettle.
Supplementary material 2 from: Huang J, Guo Z, Tang S, Ren W, Chu G, Wang L, Zhao L, Yu R, Xu Y, Ding Y, Zang R (2020) Floristic composition and plant diversity in distribution areas of native species congeneric with Betula halophila in Xinjiang, northwest China. Nature Conservation 42: 1-17. https://doi.org/10.3897/natureconservation.42.54735
Figure S2. The distribution frequency of Betula species varies with the environment gradients
Supplementary material 1 from: Vorstenbosch T, Essl F, Lenzner B (2020) An uphill battle? The elevational distribution of alien plant species along rivers and roads in the Austrian Alps. NeoBiota 63: 1-24. https://doi.org/10.3897/neobiota.63.55096
Plot information
Supplementary material 2 from: Vorstenbosch T, Essl F, Lenzner B (2020) An uphill battle? The elevational distribution of alien plant species along rivers and roads in the Austrian Alps. NeoBiota 63: 1-24. https://doi.org/10.3897/neobiota.63.55096
Appendix 1–8
Data from: The role of functional strategies in global plant distribution
<p>Understanding the determinants of species distributions is a central topic in ecology. Competition, stress tolerance and colonization, respectively represented by Grime's competitor (C), stress-tolerator (S) and ruderal (R) schemes, are three important functions that interactively influence plant distributions. In this study, we compiled a dataset of 2645 vascular plant species to explore the roles of the CSR strategies in global plant distribution. We analyzed the associations between the CSR scores and species range size with phylogenetic generalized least square (PGLS) models and phylogenetic path analysis, both of which accounted for the effects of species phylogenetic relatedness, longevity, and growth form. The functional strategy-range size associations differed across different distributional ranges and growth forms. Specifically, species global and native range sizes were positively associated with the R score; species naturalized range size was positively associated with the C score; and all range-size measurements were negatively associated with the S score. These patterns were mostly driven by herbs but not shrubs or trees. For species global and native-range distributions, the patterns of shrubs were even opposite to those of herbs. Our work emphasizes the importance of distinguishing the functional strategy-distribution associations between different distributional ranges and growth forms for ecosystem conservation and invasion risk prediction, because of the trade-offs among the CSR strategies.</p>
Supplementary material 2 from: Bustamante RO, Alves L, Goncalves E, Duarte M, Herrera I (2020) A classification system for predicting invasiveness using climatic niche traits and global distribution models: application to alien plant species in Chile. NeoBiota 63: 127-146. https://doi.org/10.3897/neobiota.63.50049
Table S2. Basic information obtained for 49 exotic plants in Chile
Supplementary material 3 from: Bustamante RO, Alves L, Goncalves E, Duarte M, Herrera I (2020) A classification system for predicting invasiveness using climatic niche traits and global distribution models: application to alien plant species in Chile. NeoBiota 63: 127-146. https://doi.org/10.3897/neobiota.63.50049
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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.