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828 results for “species trait”
Supplementary material 1 from: Liu M-C, Dong T-F, Feng W-W, Qu B, Kong D-L, van Kleunen M, Feng Y-L (2022) Leaf trait differences between 97 pairs of invasive and native plants across China: effects of identities of both the invasive and native species. NeoBiota 71: 1-22. https://doi.org/10.3897/neobiota.71.71385
Figure S1–S7
Supplementary material 2 from: Liu M-C, Dong T-F, Feng W-W, Qu B, Kong D-L, van Kleunen M, Feng Y-L (2022) Leaf trait differences between 97 pairs of invasive and native plants across China: effects of identities of both the invasive and native species. NeoBiota 71: 1-22. https://doi.org/10.3897/neobiota.71.71385
Table S1, S2, S4
Supplementary material 3 from: Liu M-C, Dong T-F, Feng W-W, Qu B, Kong D-L, van Kleunen M, Feng Y-L (2022) Leaf trait differences between 97 pairs of invasive and native plants across China: effects of identities of both the invasive and native species. NeoBiota 71: 1-22. https://doi.org/10.3897/neobiota.71.71385
Table S3
Plant community impact on productivity: trait diversity or key(stone) species effects?
<p>Outside controlled experimental plots, the impact of community attributes on primary productivity has rarely been compared to that of individual species. Here, we identified plant species of high importance for productivity (key species) in >29,000 diverse grassland communities in the European Alps, and compared their effects with those of community-level measures of functional composition (weighted means, variances, skewness, and kurtosis). After accounting for the environment, the five most important key species jointly explained more deviance of productivity than any measure of functional composition alone. Key species were generally tall with high specific leaf areas. By dividing the observations according to distinct habitats, the explanatory power of key species and functional composition increased and key-species plant types and functional composition-productivity relationships varied systematically, presumably because of changing interactions and trade-offs between traits. Our results advocate for a careful consideration of species' individual effects on ecosystem functioning in complement to community-level measures.</p>
Data from: Nitrogen enrichment and warming shift community functional composition via distinct mechanisms: the role of intraspecific trait variability and species turnover
<p>1. Global change factors may shift community functional composition by driving species turnover (species occurrence and species relative abundance) and intraspecific trait variability. However, their relative contribution in determining the functional response of community to global change, especially nitrogen enrichment and warming, remains unclear.</p> <p>2. We conducted a fully factorial field experiment in a Tibetan alpine meadow to examine responses of plant community functional composition to nitrogen enrichment and warming by quantifying seven plant functional traits in each plot. Using the sum of squares decomposition, we further disentangled the relative contribution of intraspecific trait variability and species turnover to changes in community functional composition.</p> <p>3. We found that nitrogen enrichment caused a shift of plant community toward a more resource-acquisitive strategy, while warming resulted in a shift toward a more resource-conservative strategy. Plant intraspecific trait variability controls shifts in community functional composition in response to nitrogen enrichment, whereas species turnover (especially change in species relative abundance) mainly explains warming-induced shifts. Nitrogen enrichment and warming did not show significant interactive effects on plant functional composition.</p> <p>4. These findings suggest that nitrogen enrichment and warming can alter community functional composition of alpine meadow through distinct mechanisms. Plant intraspecific trait variability confers functional resilience of Tibetan alpine meadows under nitrogen enrichment, but warming could induce significant turnover of species that pronouncedly impacts community functioning in this highland ecosystem.</p>
Fig. 3. – Species prediction for a grid cell. A in Geographical patterns of woody plants' functional traits in Burkina Faso
Fig. 3. – Species prediction for a grid cell. A. Percentage of species flowering in rainy season; B. Percentage of species having dry fruits; C. Percentage of species having dehiscent fruits; D. Average of minimal fruit length.
The latitudinal gradient in rates of evolution for bird beaks, a species interaction trait
<p>Where is evolution fastest? The biotic interactions hypothesis proposes that greater species richness creates more ecological opportunity, driving faster evolution at low latitudes, whereas the "empty niches" hypothesis proposes that ecological opportunity is greater where diversity is low, spurring faster evolution at high latitudes. We tested these contrasting predictions by analyzing rates of beak evolution for a global dataset of 1141 avian sister species. Rates of beak size evolution are similar across latitudes, with some evidence that beak shape evolves faster in the temperate zone, consistent with the empty niches hypothesis. The empty niches hypothesis is further supported by a meta-analysis showing that rates of trait evolution and recent speciation are generally faster in the temperate zone, whereas rates of molecular evolution are slightly faster in the tropics. Our results suggest that drivers of evolutionary diversification are either similar across latitudes or more potent in the temperate zone, thus calling into question multiple hypotheses that invoke faster tropical evolution to explain the latitudinal diversity gradient.</p>
Supplementary material 2 from: Brito J, Koch C, Tinoco N, Pardiñas UFJ (2022) A new species of Mindomys (Rodentia, Cricetidae) with remarks on external traits as indicators of arboreality in sigmodontine rodents. Evolutionary Systematics 6(1): 35-55. https://doi.org/10.3897/evolsyst.6.76879
Diagnostic traits of Mindomys (after Weksler et al. 2006)
Supplementary material 6 from: Brito J, Koch C, Tinoco N, Pardiñas UFJ (2022) A new species of Mindomys (Rodentia, Cricetidae) with remarks on external traits as indicators of arboreality in sigmodontine rodents. Evolutionary Systematics 6(1): 35-55. https://doi.org/10.3897/evolsyst.6.76879
Figure S4
Supplementary material 5 from: Brito J, Koch C, Tinoco N, Pardiñas UFJ (2022) A new species of Mindomys (Rodentia, Cricetidae) with remarks on external traits as indicators of arboreality in sigmodontine rodents. Evolutionary Systematics 6(1): 35-55. https://doi.org/10.3897/evolsyst.6.76879
Figure S3
Supplementary material 4 from: Brito J, Koch C, Tinoco N, Pardiñas UFJ (2022) A new species of Mindomys (Rodentia, Cricetidae) with remarks on external traits as indicators of arboreality in sigmodontine rodents. Evolutionary Systematics 6(1): 35-55. https://doi.org/10.3897/evolsyst.6.76879
Figure S2
Supplementary material 3 from: Brito J, Koch C, Tinoco N, Pardiñas UFJ (2022) A new species of Mindomys (Rodentia, Cricetidae) with remarks on external traits as indicators of arboreality in sigmodontine rodents. Evolutionary Systematics 6(1): 35-55. https://doi.org/10.3897/evolsyst.6.76879
Figure S1
Supplementary material 1 from: Brito J, Koch C, Tinoco N, Pardiñas UFJ (2022) A new species of Mindomys (Rodentia, Cricetidae) with remarks on external traits as indicators of arboreality in sigmodontine rodents. Evolutionary Systematics 6(1): 35-55. https://doi.org/10.3897/evolsyst.6.76879
GenBank access numbers of cricetid taxa used in the phylogenetic analyses
Supplemental R code and csv files for statistical analysis on Doi et al. "Effects of species traits and ecosystem characteristics on species detection by eDNA metabarcoding in lake fish communities"
<p>Supplemental R code and csv files for statistical analysis on Doi et al. "Effects of species traits and ecosystem characteristics on species detection by eDNA metabarcoding in lake fish communities"</p>
Tunabio: biological traits of tropical tuna and bycatch species caught by purse seine fisheries in the Western Indian and Eastern Central Atlantic Oceans
<p>Along with the development of the tropical tuna purse seine fishery from the 1960s in the Atlantic Ocean and from the 1980s in the Indian Ocean, many projects and studies have been conducted to improve knowledge about the biology, migrations, and dynamics of the stocks of target and non-target (i.e., bycatch) species taken in these fisheries. Since the 2000s, the European Union (EU) has been supporting Member States in the collection of biological data on species caught by their purse seine and pole and line fisheries, thus making it possible to have long-time series of data. These data are essential to monitor the status of the fisheries and fuel the assessment models used by the tuna Regional Fisheries Management Organisations (tRFMOs) for the sustainable management and conservation of the fish stocks under their mandate.</p> <p>We combined historical (1974-1999) and current (2003-2020) data sets on the biology of tropical tunas and bycatch fish caught by large-scale purse seiners in the Eastern Atlantic Ocean (EAO) and Western Indian Ocean (WIO). The resulting Tunabio database contains all available morphometric and biological data collected on more than 80,000 fish individuals.</p> <p> </p> <p> </p>
Survival and growth data for tree species planted to reforest degraded tropical peat swamp forests and functional trait data for peat swamp forest species across Southeast Asia
<p>Degraded tropical peat swamp forests are harsh environments so difficult to restore. Evidence from past restoration projects can inform selection of species for planting. As part of a systematic review, we collated and synthesised survival and growth monitoring data on trees planted in degraded tropical peat swamp forests across Southeast Asia. A key aim of the systematic review and meta-analysis was to determine which tree species survive best when planted to restore tropical peat swamp forests. We also investigated the impact of seedling and site treatments and climatic conditions (El Niño-Southern Oscillation) on tree seedling survival and growth and the potential to use plant functional traits to predict survival and growth. </p> <p>Full methodological details of the systematic review, including: search strategy, article screening and inclusion criteria, critical appraisal of screened articles, data processing and data analysis can be found in the published article and supporting information stated below.</p> <p>Smith SW, Rahman NEB, Harrison ME, Shiodera S, Giesen W, Lampela M, Wardle DA, Chong KY, Randi A, Wijedasa LS, Teo PY, Fatimah, YA, Teng NT, Joanne YKQ, Alam MJ, Brugues Sintes P, Darusman T, Graham LLB, Katoppo DR, Kojima K, Kusin K, Lestari DP, Metali F, Morrogh-Bernard HC, Nahor MB, Napitupulu RRP, Nasir D, Nath TK, Nilus R, Norisada M, Rachmanadi D, Rachmat HH, Ripoll Capilla B, Salahuddin, Santosa PB, Sukri RS, Tay B, Tuah W, Wedeux, BMM, Yamanoshita T, Yokoyama EY, Yuwati TW, Lee JSH. Tree species that ‘live slow, die older’ enhance tropical peat swamp restoration: evidence from a systematic review. <em>Journal of Applied Ecology. </em>DOI:<a href="https://doi.org/10.1111/1365-2664.14232">10.1111/1365-2664.14232</a></p> <p>In this data repository, we have uploaded the following data used in the meta-analysis to generate the findings presented in the systematic review, specifically:</p> <ul> <li>Screening sheets of eligible articles across languages (English, Indonesian, Japanese and German) read in detailed by multiple authors on the review</li> <li>Survival monitoring data, including predicted half-life (duration until 50% mortality) derived from functional line-fitting</li> <li>Height monitoring data, including standardized relative growth rates (cm × cm<sup>-1 </sup>month<sup>-1</sup>) derived from functional line-fitting</li> <li>Plant functional traits, selected leaf nutrient contents and wood densities for those species used in the functional trait analyses</li> </ul> <p>Each data file has an associated meta-data file explaining the column headers and variables. Please note, data contributors from some studies wished to retain control over access to their monitoring data, but are willing to share this data on request. The relevant study-site code those studies used in the analyses in our systematic review can be found in the meta-data sheets. Details given include study-site code (used in the systematic review), site name and location, author name(s), author contact email(s). All these details have been provided with permission from relevant data contributor co-author(s). </p>
Species traits and CWM data: Recent warming causes functional borealization and diversity loss in deep fish communities east of Greenland
<p>Aim: We asessed whether functional turnover in east Greenland fish driven by increased occurrence of boreal species compensates for the climate-driven loss of species thereby maintaining functional diversity and ecological function.</p> <p>Location: The study region encompasses a shelf and slope area located offshore between 63° N and 66° N, east of Greenland.</p> <p>Methods: We investigated spatio-temporal changes in fish communities based on a unique dataset covering a depth range of 1500m over 18 years combined with a demersal fish trait dataset. We analyzed the species by trait matrix using principal component analysis (PCA). To investigate trait patterns across the communities (sites), community weighted mean (CWM) traits were calculated and analysed using PCA. The CWM traits matrix was further analysed by redundancy analysis (RDA) with depth-strata and year as explanatory variables.</p> <p>Results: We found signs of a taxonomic and functional borealization, associated with a loss in functional diversity, down to 1000m, characterized by an increase in mobile generalists, and a decrease in bottom dwelling benthivores. The functional turnover brought about by boreal species was not sufficient to compensate for the loss of Arctic species traits, hence the loss in functional diversity.</p> <p>Main conclusions: The functional turnover brought about by boreal species was not sufficient to compensate for the loss of Arctic species traits that may negatively affect ecosystem robustness to environmental change. These observations are most likely not unique to this study area, and calls for the inclusion of the deep sea in climate adaptation of management strategies.</p>
Combined morphological trait values (PC1–PC5) of the 9,150 freshwater fish species all over the world
<p>This is a combined morphological trait database using PCA on 9150 freshwater fish species.</p>
FIGURES 19–20 in Gibocercus Szumik and Biguembia Szumik (Embioptera, Archembiidae): new species and the potentiality of female traits
FIGURES 19–20. Two optimal resolutions for Biguembia.
FIGURE 18 in Gibocercus Szumik and Biguembia Szumik (Embioptera, Archembiidae): new species and the potentiality of female traits
FIGURE 18. Map with records for the six described species of Biguembia.
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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.