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65 results for “Ecological limits”

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dryad32/100

Data from: How do soil microorganisms respond to N, P and NP additions? Application of the ecological framework of (co‐)limitation by multiple resources

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publicMay 2019View details →
dryad32/100

Data from: Limited ecological population connectivity suggests low demands on self-recruitment in a tropical inshore marine fish (Eleutheronema tetradactylum: Polynemidae)

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publicMar 2011View details →
dryad32/100

Data from: Species limits and phylogenomic relationships of Darwin’s finches remain unresolved: potential consequences of a volatile ecological setting

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publicNov 2018View details →
dryad32/100

Ecological significance of marcescence in Himalayan plants: Why is standing dead phytomass more important in demanding, resource-limited environments?

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publicJan 2024View details →
dryad32/100

Data from: Ancestral ecological regime shapes reaction to food limitation in the Least Killifish, Heterandria formosa

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publicMar 2022View details →
dryad32/100

Ecological limits as the driver of bird species richness patterns along the east Himalayan elevational gradient

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publicDec 2019View details →
dryad32/100

Data from: Ecological limits on diversification of the Himalayan core Corvoidea

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publicMar 2012View details →
dryad32/100

Data from: Ecological correlates of the distribution limits of two poeciliid species across a salinity gradient

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publicDec 2012View details →
zenodo28/100

Fig. 3 in Systematics of Clupeiformes and testing for ecological limits on species richness in a trans-marine/freshwater clade

Fig. 3. Time-calibrated clupeoid phylogeny resulting from Bayesian analysis of the nDNA dataset in BEAST v.2.4.5. Time, in millions of years, is shown along the x-axis. Node bars show the 95% highest posterior density interval of divergence time estimates.

opencc-by-4.0Oct 2018View details →
zenodo28/100

Fig. 2 in Systematics of Clupeiformes and testing for ecological limits on species richness in a trans-marine/freshwater clade

Fig. 2. Time-calibrated clupeoid phylogeny resulting from Bayesian analysis of the mtDNA dataset in BEAST v.2.4.5. Time, in millions of years, is shown along the x-axis. Node bars show the 95% highest posterior density interval of divergence time estimates.

opencc-by-4.0Oct 2018View details →
zenodo28/100

Fig. 5. The left panel shows a in Systematics of Clupeiformes and testing for ecological limits on species richness in a trans-marine/freshwater clade

Fig. 5. The left panel shows a phylogeny of Clupeiformes showing ancestral reconstructions of marine (red), freshwater (blue), anadromous (green) and catadromous (light blue) lineages from Bloom, Lovejoy (2014). The right panel shows lineage through time plots for select clades, which are indicated by grey bars.

opencc-by-4.0Oct 2018View details →
zenodo28/100

Fig. 1 in Systematics of Clupeiformes and testing for ecological limits on species richness in a trans-marine/freshwater clade

Fig. 1. Clupeiform phylogenies pruned to only show major lineages estimated using concatenated Bayesian analysis of the mtDNA dataset (left) and nDNA dataset (right) in BEAST v.2.4.5. Red lines illustrate similarities and differences in the place- ment of major lineages by mtDNA versus nDNA. Time, in millions of years, is shown along the x-axis. Line drawings depict representative species from clupeiform lineages: Brevoortia tyrannus, Ilisha elongata, Dorosoma cepedianum, Etrumeus sadina, Clupea harengus, Pterengraulis atherinoides, Cetengraulis edentulus, Encrasicholina heteroloba, Stolephorus sp., Coilia dussumieri, Chirocentrus dorab, and Spratelloides gracilis (from top to bottom).

opencc-by-4.0Oct 2018View details →
zenodo28/100

Fig. 4 in Systematics of Clupeiformes and testing for ecological limits on species richness in a trans-marine/freshwater clade

Fig. 4. Divergence time estimates for major clupeiform lineages estimated using nDNA and mtDNA separately by this study, mitochondrial genomes by Lavoué et al. (2013) and a combined mtDNA + nDNA dataset by Bloom, Lovejoy (2014). Time, in millions of years, is shown along the y-axis. Circles represent mean age estimates and whiskers delineate the 95% highest posterior density interval of divergence time estimates.

opencc-by-4.0Oct 2018View details →
dryad28/100

Data from: Testing for ecological limitation of diversification: a case study using parasitic plants

Imbalances in phylogenetic diversity could be the result of variable unbounded diversification rates, differing limits on diversity, or a combination of the two. We propose an approach to distinguish between rates and limits as the primary cause of phylogenetic imbalance, using parasitic plants as a model. With sister-taxon comparisons, we show that parasitic plant lineages are typically much less diverse than their autotrophic sisters. We then use age estimates for taxa used in the sister-taxon comparisons to test for correlations between clade age and diversity. We find that parasitic plant diversity is not significantly correlated with the age of the lineage, whereas there is a strong positive correlation between the age and diversity of autotrophic sister lineages. The Ericaceae sister-pair Monotropoideae (parasitic) and Arbutoideae (autotrophic) are sufficiently well samples at the species level to allow more parametric comparisons of diversification patterns. Model-fitting for this group supports ecological limitation in Monotropoideae and unconstrained diversification in Arbutoideae. Thus, differences in diversity between parasitic plants and their autotrophic sisters might be caused by a mixture of ecological limitation and unbounded diversification. A combination of sister-taxon comparisons of diversity and age, coupled with model-fitting of well-sampled phylogenies of focal taxa, provides a powerful test of likely causes of asymmetry in the diversity of lineages.

opencc-zeroDec 2011View details →
dryad28/100

Data from: Apparent signal of competition limits diversification after ecological transitions from marine to freshwater habitats

Adaptive radiations are typically triggered when a lineage encounters a significant range of open niche space (ecological opportunity), stemming from i) colonization of new areas, ii) extinction of competitors, or iii) key innovations. The most well-known of these is the colonization of new areas, either through geographic dispersal or the invasion of a novel ecological habitats. One aspect of ecological opportunity that has rarely been studied, however, is whether the existence of potential competitors may act to limit evolutionary diversification in newly colonized adaptive zones. Here, we show that in multiple geographically independent reinvasions of freshwaters by marine Sea Catfishes (Ariidae), rates of diversification (estimated as a function of morphological disparity and cladogenesis) have been constrained by pre-existing high diversity freshwater lineages. Only one region (Australia-New Guinea), characterized by an otherwise-depauperate freshwater fauna, has an ariid invasion gained any substantial traction. This is true at both regional and community scales, suggesting that competitive constraints may be an important factor for adaptive radiation.

opencc-zeroDec 2011View details →
zenodo28/100

Supplementary material 1 from: Winiger N, Korner P, Arlettaz R, Jacot A (2018) Vegetation structure and decreased moth abundance limit the recolonisation of restored habitat by the European Nightjar. Rethinking Ecology 3: 25-39. https://doi.org/10.3897/rethinkingecology.3.29338

Site and moth data : Explanation note: Details about the study sites and moths.

opencc-zeroOct 2018View details →
dryad28/100

Data from: Testing for ecological limitation of diversification: a case study using parasitic plants

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publicJun 2012View details →
dryad28/100

Data from: Apparent signal of competition limits diversification after ecological transitions from marine to freshwater habitats

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publicOct 2012View details →
zenodo20/100

Fig 13 in Morphological and ecological convergence at the lower size limit for vertebrates highlighted by five new miniaturised microhylid frog species from three different Madagascan genera

Fig 13. Osteology of Anodonthyla eximia sp. nov. holotype (ZMA 20246). (a-c) Whole skeleton in (a) dorsal, (b) lateral, and (c) ventral view. (d-g) Skull in (d) lateral, (e) ventral, (f) anterior, and (g) dorsal view. (h) Foot in ventral view. (i) Hand in ventral view. For abbreviations, see Fig 6. https://doi.org/10.1371/journal.pone.0213314.g013

opennotspecifiedMar 2019View details →
zenodo20/100

Fig 12 in Morphological and ecological convergence at the lower size limit for vertebrates highlighted by five new miniaturised microhylid frog species from three different Madagascan genera

Fig 12. Anodonthyla eximia sp. nov. holotype (ZMA 20246) in life. (a) dorsolateral, (b) ventral, and (c) posterodorsal view. https://doi.org/10.1371/journal.pone.0213314.g012

opennotspecifiedMar 2019View details →

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Allen Brain Atlas

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Last verified 2026-04-30Open record

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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.

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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.

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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.

openneuro
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Last verified 2026-04-29Open record