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10 results for “JAGS”
Data and JAGS-code for "Michel et al 2022 Ecology and Evolution - Reduced habitat quality increases intrinsic but not ecological costs of reproduction"
<p><strong>Abstract</strong></p> <p>Although the costs of reproduction are predicted to vary with the quality of the breeding habitat thereby affecting population dynamics and life-history trade-offs, empirical evidence for this pattern remains sparse and equivocal. Costs of reproduction can operate through immediate ecological mechanisms or through delayed intrinsic mechanisms. Ignoring these separate pathways might hinder the identification of costs and the understanding of their consequences. We experimentally investigated the survival costs of reproduction for adult little owls (<em>Athene noctua</em>) within a gradient of habitat quality. We supplemented food to nestlings, thereby relieving the parents’ effort for brood provisioning. We used radio-tracking and Bayesian multi-state modelling based on marked recapture and dead recovery to estimate survival rates of adult little owls across the year as a function of food supplementation and habitat characteristics. Food supplementation to nestlings during the breeding season increased parental survival not only during the breeding season but also during the rest of the year. Thus, the low survival of parents of unfed broods likely represents both, strong ecological and strong intrinsic costs of reproduction. However, while immediate ecological costs occurred also in high quality habitats, intrinsic costs carrying over to the post-breeding period occurred only in low quality habitats. Our results suggest that immediate costs resulting from ecological mechanisms such as predation, are high also in territories of high habitat quality. Long-term costs resulting from intrinsic trade-offs, however, are only paid in low quality habitats. Consequently, differential effects of habitat quality on immediate ecological and delayed intrinsic mechanisms can mask the increase of costs of reproduction in low quality breeding habitats. Intrinsic costs may represent an underrated mechanism of habitat quality affecting adult survival rate thereby considerably accelerating population decline in degrading habitats. This study therefore highlights the need for a long-term perspective to fully assess the costs of reproduction and the role of habitat quality in modifying these costs.</p>
R_JAGS code for estimation and analysis of species-area-relationship (SAR) parameters from NEON (National Ecological Observatory Network) data on plant surveys
<p><span>Invasive species science is heavily geared toward the invasive agent. </span>However, management to protect native species also requires a proactive approach focused on understanding the features affecting community vulnerability to invasion impacts<span>. </span><span>Vulnerability </span><span>is likely the result of </span><span>factors acting across spatial scales, from </span><span>local to regional, and it is the combined effects of these factors that will determine the magnitude of vulnerability.</span><span> We introduce an analytical framework that quantifies the scale-dependent impact of biological invasions from the shape of the native species-area-relationship (SAR). We leverage newly available, biogeographically extensive vegetation data from the US National Ecological Observatory Network to assess plant community vulnerability to invasion impact as a function of factors acting across scales. We analyzed more than 1000 SARs widely distributed across the USA along environmental gradients and under different levels of invasion. </span>Results show that a decrease in native richness is consistently associated with invasive species cover<span>, but it is only at relatively high levels of invasion that native richness is compromised. After accounting for variation in baseline ecosystem diversity, net primary productivity, and human modification, ecoregions that are colder and wetter seem to be most vulnerable to losses of native plant species at the local level, while warmer and wetter areas seem most susceptible at the landscape level. We also document how the combined effects of cross-scale factors result in a heterogenous spatial pattern of vulnerability. </span><span>This pattern </span><span>cannot be predicted by analyses at any single scale, underscoring the importance of accounting for factors acting across scales. Simultaneously assessing differences in vulnerability between distinct plant communities at local, landscape and regional scales provided outputs that can be used to inform policy and management aimed at reducing vulnerability to the impact of plant invasions.</span></p>
R_JAGS code for estimation and analysis of species-area-relationship (SAR) parameters from NEON (National Ecological Observatory Network) data on plant surveys
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JAG Bias Corrected SPP
<p>This dataset belongs to the paper: Comparison of Bias-Corrected MultiSatellite Precipitation Products by Deep Learning Framework</p> <p>Daily dataset from 01/01/2016 to 12/2019</p>
Identification of direct targets of Arabidopsis JAGGED in floral buds
GEO Series GSE51537. Arabidopsis thaliana. 6 samples. Type: Genome binding/occupancy profiling by high throughput sequencing.
Whole genome bisulfite genome analysis of OX40L-Jagged-1 expanded Treg and Teff cells
GEO Series GSE130617. Mus musculus. 4 samples. Type: Methylation profiling by high throughput sequencing.
Differential gene expression profiling of conventional (Tconv), regulatory (Treg), follicular (TFH) helper and follicular regulatory (TFR) T-cells from control vs OX40L-Jagged-1 treated NZBWF1/j mice
GEO Series GSE181433. Mus musculus. 24 samples. Type: Expression profiling by high throughput sequencing.
Stromal PTEN inhibits the expansion of mammary epithelial stem cells through Jagged-1
GEO Series GSE84190. Mus musculus. 6 samples. Type: Expression profiling by array.
Gene expression analysis of JAGGED-1 treated human periodontal ligament stem cells using microarray technique
GEO Series GSE126249. Homo sapiens. 10 samples. Type: Expression profiling by array.
Effect of Myosin 10 or Jagged 1 knockout on gene expression in H1299 Non-small cell lung cancer leader cells.
GEO Series GSE297208. Homo sapiens. 40 samples. Type: Expression profiling by high throughput sequencing.
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