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94 results for “vegetation dynamics”
Data in support of capturing functional strategies and compositional dynamics in vegetation demographic models
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Species interactions across trophic levels mediate rainfall effects on dryland vegetation dynamics
<p>Arid ecosystems are strongly limited by water availability, and precipitation plays a major role in the dynamics of all species in arid regions, as well as the ecosystem processes that occur there. However, understanding how biotic interactions mediate long-term responses of dryland ecosystems to rainfall remains very fragmented. We report on a unique large-scale field experiment spanning 25 years and three trophic levels (plants, small mammal herbivores, predators) in a dryland ecosystem in the northern Chilean Mediterranean Region where we assessed how biotic interactions influence the long-term plant community responses to precipitation. As the most persistent ecological changes in dryland systems may result from changes in the structure, cover, and composition of the perennial vegetation, we emphasized the interplay between bottom-up and top-down controls of perennial plants in our analyses. Rainfall was the primary factor affecting the dynamics of, and interactions among, plants and small mammals. Ephemeral plant cover dynamics closely tracked short-term annual rainfall, but seemed unaffected by top-down controls (herbivory). In contrast, the response of the perennial plant cover to precipitation was mediated by: (i) a complex interplay between subtle top-down (herbivory) controls that become more apparent in the long-term, (ii) competition with ephemeral plants during wet years, and (iii) an indirect effect of predators on subdominant shrubs and perennial herbs. This long-term field experiment highlights how climate-induced responses of arid perennial vegetation are influenced by interactions across trophic levels and temporal scales. In the face of global change, understanding how multi-trophic controls mediate dryland vegetation responses to climate is essential to properly managing the conservation of biodiversity in arid systems.</p>
Data from: Genome dynamics of hybrid Saccharomyces cerevisiae during vegetative and meiotic divisions
Mutation and recombination are the major sources of genetic diversity in all organisms. In the baker's yeast, all mutation rate estimates are in homozygous background. We determined the extent of genetic change through mutation and loss of heterozygosity (LOH) in a heterozygous Saccharomyces cerevisiae genome during successive vegetative and meiotic divisions. We measured genome wide LOH and base mutation rates during vegetative and meiotic divisions in a hybrid (S288c/YJM789) S. cerevisiae strain. The S288c/YJM789 hybrid showed nearly complete reduction in heterozygosity within 31 generations of meioses and improved spore viability. LOH in the meiotic lines was driven primarily by the mating of spores within the tetrad. The S288c/YJM789 hybrid lines propagated vegetatively for the same duration as the meiotic lines, showed variable LOH (from 2-3% and up to 35%). Two of the vegetative lines with extensive LOH, showed frequent and large internal LOH tracts that suggest a high frequency of recombination repair. These results suggest significant LOH can occur in the S288c/YJM789 hybrid during vegetative propagation presumably due to return to growth events. The average base substitution rates for the vegetative lines (1.82 x 10-10 per base per division) and the meiotic lines (1.22 x 10-10 per base per division), are the first genome wide mutation rate estimates for a hybrid yeast. This study therefore provides a novel context for the analysis of mutation rates (especially in the context of detecting LOH during vegetative divisions), compared to previous mutation accumulation studies in yeast that used homozygous backgrounds.
Supplementary material 2 from: Standovár T, Horváth S, Aszalós R (2017) Temporal changes in vegetation of a virgin beech woodland remnant: stand-scale stability with intensive fine-scale dynamics governed by stand dynamic events. Nature Conservation 17: 35-56. https://doi.org/10.3897/natureconservation.17.12251
Map showing canopy trees in the study area. :
Supplementary material 1 from: Standovár T, Horváth S, Aszalós R (2017) Temporal changes in vegetation of a virgin beech woodland remnant: stand-scale stability with intensive fine-scale dynamics governed by stand dynamic events. Nature Conservation 17: 35-56. https://doi.org/10.3897/natureconservation.17.12251
Map showing the position of sampling plots in 1996 and 2013 :
Data from: Determinants and dynamics of banded vegetation pattern migration in arid climates
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Species interactions across trophic levels mediate rainfall effects on dryland vegetation dynamics
Open the record for dataset details and reuse information.
Data from: Genome dynamics of hybrid Saccharomyces cerevisiae during vegetative and meiotic divisions
Open the record for dataset details and reuse information.
Data from: Rethinking long-term vegetation dynamics: multiple glacial refugia and local expansion of a species complex
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LBA-ECO LC-23 Characterization of Vegetation Fire Dynamics for Brazil: 2001-2003
Satellite fire detection was determined from two sensors—the Advanced Very High Resolution Radiometer (AVHRR) on NOAA-12 and the Moderate Resolution Imaging Spectroradiometer (MODIS) on both the Terra and Aqua platforms, for 2001- 2003 to characterize fire activity in Brazil, giving special emphasis to the Amazon region. Active fire data for AVHRR/NOAA-12 was produced using a fixed threshold fire detection technique based on the algorithm developed by the Centro de Previsao do Tempo e Estudos Climaticos (CPTEC/INPE) (Setzer and Pereira, 1991; Setzer et al., 1994; Setzer and Malingreau, 1996). Active fire data for MODIS/Terra and MODIS/Aqua was produced using a contextual fire detection technique based on NASA-University of Maryland algorithm (Justice et al., 2003; Giglio et al.2003).Resulting fire counts were compared for major biomes of Brazil (Figure 1), the nine states of the Legal Amazon (e.g., Tocantins, Figure 2), and two important road corridors in the Amazon region (Figure 3). In evaluating the daily fire counts, there is a dependence on variations in satellite viewing geometry, overpass time, atmospheric conditions, and fire characteristics (Schroeder et al., 2005). The data provided are the coordinates of daily active vegetation fires in Brazil for 2001 through 2003 at 1km resolution for both AVHRR and MODIS sensors. Data are provided in both Arcview (shape file format) and ASCII comma separated file formats. Vector files for the major biomes of Brazil, the nine states of the Legal Amazon, and two important road corridors in the Amazon region are also included.
Ecosystem Demography Model: Scaling Vegetation Dynamics Across South America
This model product contains the source code for the Ecosystem Demography Model (ED version 1.0) as well as model input and output data for a portion of South America including the Brazilian Amazon. The model output data are estimates of potential average live biomass (kg C/m2), potential average soil carbon (kg C/m2), and potential above-ground net primary production (NPP) (kg C/m2/yr) at 1.0 degree resolution. To produce these estimates, ED was forced with ISLSCP I data for 1987 and 1988, averaged into a single year (Moorcroft et al., 2001). Data for the three estimates are provided in both ASCII text and in NetCDF formatted files. ED is an individual-based terrestrial ecosystem model that predicts both ecosystem structure (e.g. above and below-ground biomass, vegetation height and basal area, and soil carbon stocks) and corresponding ecosystem fluxes (e.g. NPP, NEP and evapotranspiration) from climate, soil, and land-use inputs. The model consists of integrated sub-models governing processes such as leaf-level physiology, plant allocation, allometry, phenology, dispersal, the effects of fire disturbances, and below-ground sub-models for soil carbon dynamics and hydrology. Using a new method for scaling-up it is possible to predict ED's large-scale behavior without simulating the fate of every plant individually. ED is used to examine how climate and edaphic factors, natural disturbances, and human land-use practices affect ecosystem structure and fluxes. This data set contains six zip files which each uncompress into six unique subdirectories. Each subdirectory is described in detail in the Model Product Description section of this document. Installation and execution instructions are provided in the Model Documentation and User's Guide section of this document.
Dynamics of gene expression during devepolement and expansion of vegetative stem internodes of bioenergy sorghum
GEO Series GSE98817. Sorghum bicolor. 12 samples. Type: Expression profiling by high throughput sequencing.
Dataset for the simulated response of vegetation composition and carbon dynamics to variations in drought-heat occurrence
<p>Dataset consisting of model runs from six dynamic global vegetation models each using six different scenarios with varying drought-heat signatures as input. Each zip file contains all the scenario runs for one model.</p>
Reconstruction of Holocene and Last Interglacial vegetation dynamics and wildfire activity in southern Siberia - dataset
<p>1. Dates_input: Result dates from U-series dating. Results are formatted for input into Copra (age modelling software) including depth from top (of stalagmite sb_pk7497-1 in mm), years (BP) and error. </p> <p>2. D13C Input: Result d13C from isotope ratio mass spectrometry. Results are formatted for input into Copra (age modelling software) including depth from top (of stalagmite sb_pk7497-1 in mm) and corrected (for minerology, see All_mid-resolution sheet) d13C results. </p> <p>3. Lev input: Result levoglucosan values from solid phase extraction analysis. Results are formatted for input into Copra (age modelling software) including depth from top (of stalagmite sb_pk7497-1 in mm). </p> <p>4. Lig SV input: Result SV values calculated from solid phase extraction analysis. Results are formatted for input into Copra (age modelling software) including depth from top (of stalagmite sb_pk7497-1 in mm). </p> <p>5. Lig CV input: Result CV values calculated from solid phase extraction analysis. Results are formatted for input into Copra (age modelling software) including depth from top (of stalagmite sb_pk7497-1 in mm). </p> <p>6. D13C output: All output files from copra age modelling of d13C results (see sheet 2). Results include age modelled dates in ka BP and years BP, d13C median values, 2.5% and 97.5% confidence intervals for d13C, and 2.5% and 97.5% confidence intervals for age, and depth from top. </p> <p>7. Lev output: All output files from copra age modelling of Lev results (see sheet 3). Results include age modelled dates in ka BP and years BP, Lev median values, 2.5% and 97.5% confidence intervals for Lev, and 2.5% and 97.5% confidence intervals for age, and depth from top. </p> <p>8. Lig output: All output files from copra age modelling of SV and CV results (see sheet 4 and 5). Results include age modelled dates in ka BP and years BP, SV and CV median values, 2.5% and 97.5% confidence intervals for SV and CV, and 2.5% and 97.5% confidence intervals for age, and depth from top. </p> <p>9. All mid-resolution: All oxygen and carbon isotope results from sb_pk7497-1 and corrections calculated from raman maps. </p>
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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)
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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.
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.