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164 research outputs found
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Borehole NMR, IP and ERT dataset for Bear Creek flooding experiment during July 2016 and June 2017
No full textBorehole NMR, IP and ERT dataset for Bear Creek flooding experiment during July 2016 and June 201
Plant Hydraulic Stress Explained Tree Mortality and Tree Size Explained Beetle Attack in a Mixed Conifer Forest
No full textAll physiological and meteorological data was collected at the NoName Trench Site, vegetation surveys incorporates beetle responses from NoName Trench, Southface, and Northface sites
Data used in the publication 'Revisiting the differential freezing nucleus spectra derived from drop freezing experiments; methods of calculation, applications and confidence limits'
No full textData used in the publication 'Revisiting the differential freezing nucleus spectra derived from drop freezing experiments; methods of calculation, applications and confidence limits
Geospatial Data for Analyzing the Human-Elephant Conflicts in Coimbatore Forest Division, India
No full textThis geospatial dataset consists of raw Landsat (satellite) imagery, derived land cover products from satellite data, and verification data used for assessing the accuracy of the land cover products. All data were projected to: WGS 1984 UTM Zone 24 North (units: meters) Data can be displayed in ERDAS Imagine (Hexagon Geospatial, AL), ArcMap (ESRI, CA), R-project (cran.org), QGIS, and most other geospatial software. These data are organized within the following four directories: 01_study_area 02_Landsat_img_clipped 03_Classified_img 04_Verification_dat
Individual fastq files to accompany 'Genetic evidence for species cohesion, substructure, and hybrids in spruce'
No full textIndividual fastq files to accompany 'Genetic evidence for species cohesion, substructure, and hybrids in spruce
Hyporheic zone turnover time from 3D geophysics
No full textA stream's balance of exchange with the hyporheic zone and the reaction rate within hyporheic flowpaths controls its nutrient removal capacity. However, our ability to quantify rates of exchange between surface and hyporheic waters is often limited to techniques describing in-stream breakthrough curves of a conservative tracer. Combining constant-rate conductive tracer (salt) additions with geophysical imaging of the subsurface allows for the direct measurement of hyporheic exchange and turnover. We used time-lapse 3D electrical resistivity tomography (ERT) to estimate the turnover time of the hyporheic zone at two headwater streams following the completion of a constant-rate addition of a conservative tracer, sodium chloride (NaCl). Though the streams were similar in geomorphology, they produced contrasting in-stream breakthrough curves of large and small storage zones. We measured hyporheic exchange using 3D ERT at the stream with elongated breakthrough curves but not at the more dynamic stream. Results from 3D ERT showed a delay in loading of the tracer in to the hyporheic zone and a >60 h return to ambient conditions. The estimated turnover time of the tracer in the hyporheic zone that was measured was over an order of magnitude longer from 3D ERT (9.7 h) than by transient storage modeling (0.73 h). Exchange with the hyporheic zone was mostly constrained to a small portion of the ERT grid which is consistent with the heterogeneous exchange seen in other ERT tracer studies. Our results highlight how using geophysical imaging techniques, such as 3D ERT, can describe the turnover of solutes in hyporheic flowpaths below the sensitivity of in-stream breakthrough curve analysis
rKIN Supplemental Data and R Scripts
No full textSupplemental data include small mammal trapping data from Prince of Wales Island, AK, chipmunk trapping data from Laramie Range, WY and simulated Kestrel data. Also includes R scripts to generate datasets used to test Bandwidth and Sample Size effects within the rKIN R package
Data from BioDiversitree experiment conducted by Eric Griffin et al. exploring the link between microbial diversity and host diversity.
No full textData from BioDiversitree experiment conducted by Eric Griffin et al. exploring the link between microbial diversity and host diversity
AquaFlux Processing Code and NoName Sap Flux Dataset
No full textPlant transpiration is the largest evaporative flux from most vegetated ecosystems, playing a dominant role in energy balance, water and element cycling, ecosystem services, and water security. Quantification of plant-level transpiration, e.g. sap flux, is essential to land managers and scientists. Thermal dissipation probes (TDP) are reliable and affordable tools for measuring sap flux, but difficulties in replicable data processing often serve as a barrier to their use and interpretation of data. AquaFlux is an R package designed to efficiently process and analyze TDP data. This program maximizes data collection by continually importing raw TDP values and alerting the user of any malfunctioning sensors. Data processing is expedited through a user-friendly graphical interface, predictive algorithms, and data recovery options. AquaFlux’s post-processing options address gapfilling, radial trends in sap flux across sapwood, and rescaling from points to whole stems. To ensure reproducibility and transparency, all data processing steps are automatically documented, highlighting the impact of user decisions. AquaFlux confirms to emerging best practices in data science and TDP data processing and analyses. Understanding spatiotemporal patterns of sap flux and how they relate to plant traits is essential for enhancing agricultural productivity, optimizing land management planning, ecological studies, and improving climate modeling. AquaFlux provides a robust tool to facilitate predictive understanding of plant transpiration
Mircrobiome sequences from Astragalus lentiginosus
No full textEndophytes are microbes that live, for at least a portion of their life history, within plant tissues. Endophyte assemblages are often composed of a few abundant taxa and many infrequently-observed, rare taxa. The ways in which most endophytes affect host phenotype are unknown; however, certain dominant endophytes can influence plants in ecologically meaningful ways--including by affecting growth and contributing to immune responses. In contrast, the effects of rare endophytes have been unexplored. Here, we manipulate both the suite of rare foliar endophytes and Alternaria fulva--a dominant, heritable fungus--within the Fabaceous forb Astragalus lentiginosus. We report that rare endophytes, despite likely occupying only a small amount of host tissue, affected host size and foliar %N, but only when the dominant fungal endophyte (A. fulva) was not present. A. fulva also reduced plant size and %N, but these deleterious effects on the host could be offset by a striking antagonism we observed between this heritable fungus and a foliar pathogen. These results confirm that interactions among taxa determine the net effect of endophytic assemblages on their hosts. Moreover, we suggest that the myriad infrequently-observed endophytes within plant leaves may be more than a collection of uninfluential, commensal organisms, but instead have meaningful ecological roles