Hubbard Brook Monthly - October 2020

HUBBARD BROOK MONTHLY October 2020 issue
 
Recent Publications
 
Caldwell, PV, KJ Elliott, N Liu, JM Vose, DR Zietlow, JD Knoepp. 2020. Watershed-scale vegetation, water quantity, and water quality responses to wildfire in the southern Appalachian mountain region, United States. Hydrological Processes. https://doi.org/10.1002/hyp.13922
 
If your publication is missing from this list, please let us know:
 
Hubbard Brook Researchers in the News
 
Vote to keep our heads above water. South Florida is on front lines of sea-level rise
 
Trump's EPA rewrote the rules on air, water energy. Now voters face a choice on climate change issues
 
New and Revised Datasets
 
Hubbard Brook investigators have published LOTS of new data in the Environmental Data
Initiative (EDI) Repository in 2020, bringing our data packages added to EDI since our LTER renewal to 62, for a total of 210!
 
There are still more in the queue, but keep sending them along—reaching a milestone of 100 new datasests during this LTER funding cycle would be great. We recently added a bird audio file dataset, which was our largest data package to date (30Gb). We were able to package and document that dataset following the newly developed EDI/LTER best practices that address data types that don't fall into our traditional tabular dataset category (audio, images, video, documents, code, models, spatial, drone, etc). If you have any of those data types that support your research, this is a great time to think about getting them into the EDI Repository.
 
The Forest Service team at HBEF has also updated many of the long-term datasets. Station and watershed-level precipitation, current through August 2020, and 15-minute resolution precipitation data from 2011-2020 are online now. Datasets that will be added/updated soon include 15-minute air temperature, wind, solar radiation, and barometric pressure. Nina Lany (nina.lany@usda.gov) now handles the development and upload of the data packages for the long-term Forest Service Hydro and MET datasets, and can be contacted with any questions.
 
We have also increased the discoverability of data collected by the Forest Service by
registering the EDI data packages with the Forest Service Research Data Archive
https://www.fs.usda.gov/rds/archive/. Anyone searching that archive will find details on
Hubbard Brook's Hydro and MET long-term data, and will be directed to EDI for data
download.
 
New datasets and updated long-term data can be found at the links below. To view the
complete data catalog, visit https://hubbardbrook.org/hubbard-brook-data-catalog. Please
contact mary.martin@unh.edu to begin the process of preparing your Hubbard Brook
research data for submission to EDI. Note that the EDI repository is available for other
ecological data outside of the scope of LTER; if you have data that falls in that category, Mary can provide tips and resources to jump-start that process.
 
USDA Forest Service, Northern Research Station. 2020. Hubbard Brook Experimental
Forest: Daily Precipitation Rain Gage Measurements, 1956 - present ver 14.
Environmental Data Initiative.
 
USDA Forest Service, Northern Research Station. 2020. Hubbard Brook Experimental
Forest: Total Daily Precipitation by Watershed, 1956 - present ver 12. Environmental
 
USDA Forest Service, Northern Research Station. 2020. Hubbard Brook Experimental
Forest: 15-minute Precipitation Standard Rain Gage Measurements, 2011 - present
ver 1. Environmental Data Initiative.
 
Bernhardt, E., G. Likens, and E. Rosi. 2020. Continuous precipitation and stream
chemistry data, Hubbard Brook Ecosystem Study, 1963 – present. ver 3.
Environmental Data Initiative.
 
Cleavitt, N., A. Clyne, and T. Fahey. 2020. Epiphytic lichen surveys on 12 valleywide
plots in Hubbard Brook 2016 ver 1. Environmental Data Initiative.
 
Symes, L.B., K.D. Kittelberger, S.M. Stone, R.D. Holmes, J.S. Ralston, I.P. Casteneda
Ruvalcaba, M.S. Webster, and M.P. Ayres. 2020. Calling activity of Birds in the White
Mountain National Forest: Audio Recordings (2016 and 2018) ver 1. Environmental
 
Young, A.R., R.D. Yanai, R. Minocha, S. Long, and J.E. Drake. 2020. Physical,
chemical, and metabolic leaf characteristics within sugar maple in the MELNHE study
at Bartlett Experimental Forest, central NH USA, 2017 ver 1. Environmental Data
 
Outreach and Education Update
 
On October 1, Alix Contosta gave a virtual scientific seminar on "Using Early Warning Signals of Change to Illustrate Declining Resilience of the Biology and Biogeochemistry of a Northern Hardwood Forest," for the Cary Institute of Ecosystem Studies, based on long-term data from Hubbard Brook.
 
John Campbell and Sarah Garlick presented at the Northeast-Midwest State Foresters Alliance (NMSFA), Forest Resources Planning Committee Virtual Meeting on October 7 on the topics "Embedding Stakeholder Engagement into Long Term Research at the Hubbard Brook Experimental Forest" and "Indicators of Winter Climate Change: Insights from Synthesis Research and Stakeholder Roundtables."
 
Sarah Garlick presented during the "Research, Practice and Community: Equitable Partnerships for Impact" session at the Association of Science and Technology Centers Virtual 2020 Annual Meeting on October 20.
 
Announcements
 
Matt Ayres and Hannah ter Hofsteded have a PhD graduate fellowship available to begin in summer 2021 in Dartmouth’s Graduate Program in Ecology, Evolution, Environment and Society (EEES). The successful candidate will design and conduct original research on biota of the Hubbard Brook Forest as part of the NSF-sponsored Long Term Ecological Research project. Possible study organisms include insects, bats, and other heterotrophs. Possible topic areas include phenology, population dynamics, species interactions, connections between green and brown food webs, connections between biogeochemistry and heterotrophs, and more. More information here:
 
The USDA Forest Service is seeking a postdoc to work on hydrologic and soil modeling at Hubbard Brook and Coweeta. The application deadline is November 10, 2020; applications will be reviewed on a rolling basis. More information here: