Automated Author ProfileWarren, Jeffrey
Warren, Jeffrey
Current S-Index
Sum of Dataset Indices for all datasets
Average Dataset Index per Dataset
Average Dataset Index per dataset
Total Datasets
Total datasets for this author
Average FAIR Score
Average FAIR Score per dataset
Total Citations
Total citations to the author's datasets
Total Mentions
Total mentions of the author's datasets
S-Index Interpretation
The S-Index (Sharing Index) is a comprehensive metric that represents the cumulative impact of all your datasets. It is calculated as the sum of Dataset Index scores across all your claimed datasets.
What it means:
- A higher S-index indicates greater overall impact of your datasets relative to typical datasets in their fields of research
- The S-Index grows as you add more datasets or as existing datasets gain more citations and mentions
- It provides a single number to track your research data impact over time
Current S-Index: 3.7 (sum of 3 datasets Dataset Index scores)
More information here.
S-Index Over Time
Cumulative Citations Over Time
Cumulative Mentions Over Time
Datasets
This data set consists of phenological transition dates, as derived from direct observations of vegetative and reproductive phenology recorded by a human observer, from the SPRUCE experiment during the 2+ years (August 2015 through December 2017) of whole-ecosystem warming. For 2016, only springtime (April - June) phenological events are included. For 2017 (April - December), spring and autumn events are included. Beginning in April 2016, human observers have been directly tracking the phenology of both woody and herbaceous species on a weekly schedule within the SPRUCE experimental chambers. The observed date reported here is the first survey date on which an event/phenophase was definitively observed.
Authors
- Richardson, Andrew ;
- Latimer, John ;
- Nettles, W. Robert ;
- Heiderman, Ryan ;
- Warren, Jeffrey ;
- Hanson, Paul
These data report the results of nonstructural carbohydrate (NSC) analyses of foliage/twig/root tissues collected at the SPRUCE site in 2013. Samples were obtained at various locations around the S1 Bog. These are pretreatment vegetation samples, collected prior to initiation of the SPRUCE experiment heating and elevated CO2 treatments.
Authors
- Furze, Morgan ;
- Jensen, Anna ;
- Warren, Jeffrey ;
- Richardson, Andrew
Plant roots play a critical role in ecosystem function in arctic tundra, but root dynamics in these ecosystems are poorly understood. To address this knowledge gap, we synthesized available literature on tundra roots, including their distribution, dynamics, and contribution to ecosystem carbon and nutrient fluxes, and we highlighted key aspects of their representation in terrestrial biosphere models. Across all tundra ecosystems, belowground plant biomass exceeded aboveground biomass, with the exception of polar desert tundra. Roots were shallowly-distributed in the thin layer of soil that thaws annually, and were often found in surface organic soil horizons. Root traits including distribution, chemistry, anatomy, and resource partitioning play an important role in controlling plant species competition, and therefore ecosystem carbon and nutrient fluxes, under changing climatic conditions, but have only been quantified for a small fraction of tundra plants. Further, the annual production and mortality of fine roots are key components of ecosystem processes in tundra, but extant data are sparse. Tundra root traits and dynamics should be the focus of future research efforts. Better representation of the dynamics and characteristics of tundra roots will improve the utility of models for evaluating the responses of tundra ecosystems to changing environmental conditions. Dataset DOI: 10.5440/1114222; https://doi.org/10.5440/1114222
Authors
- Iversen, Colleen ;
- Sloan, Victoria ;
- Sullivan, Patrick ;
- Euskirchen, Eugenie ;
- McGuire, David ;
- Norby, Richard ;
- Walker, Anthony ;
- Warren, Jeffrey ;
- Wullschleger, Stan