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GCCE PROJECT PROPOSAL
Jeremy Guinn
Statement of Objective:
To examine Phenology and Snow Depth effects on (1) breeding bird populations (2) wintering bird
populations using long-term large databases (Breeding Bird Survey & Christmas Bird Count).
Approach/Methodology:
1. Download long-term BBS data for North Dakota (and entire Northern Plains); Download
phenology data for North Dakota (and entire Northern Plains)—examine correlation between
phenology metrics and bird populations
a. One Undergraduate Researcher will assist in downloading data and developing graphs of
populations trends
b. Include daily temperature data to examine the impact of late freezes on BBS outcomes
2. Download long-term CBC data for mountain states; Download SNODAS data for mountain
states—examine correlation between snow depth and wintering bird populations
a. Undergraduate Researcher will assist in downloading data and developing graphs of
populations trends.
Significance-Context:
1. Determining if there is a trend between phenology metrics and breeding bird populations
a. Use this trend to make predictions based on the IPCC predictions of what will occur in
ND (and entire Northern Plains)
2. Determining if there is a trend between snow depth and winter bird populations
a. Use this trend to make predications based on the IPCC predictions of what will occur in
region.
This information could have far-reaching significance to a broad group of scientists, managers, and the
public, while also providing research experiences for an undergraduate student and improving the
science curriculum in several courses by incorporating research applications, climate change education,
and remote sensing technology.
Deliverables-Impact:
1. Course Modules—
a. General courses—query and download CBC & BBS data and create graphs
i. Provides experience creating scientific figures for publications using real-world
data.
ii. Provides
b. Advanced courses—search and download Phenology and SNODAS data
i. Provides experience with Remote Sensing products and technology
ii. Reinforces research applications of software
2. Presentations at local (ND Chapter of The Wildlife Society) and national conferences (Raptor
Research Foundation; American Ornithologist’s Union) by student and researcher.
Budget:
$1,000 Undergraduate Researcher
$1,000 Travel Expenses for dissemination of results
Timeline:
October 2011—download data and begin analysis
November 2011—complete analysis
TARGET: December 1, 2011—Abstracts are due for several meetings.
December 2011—develop poster/presentation for February conference
February 2012—present results
March 2012—use suggestions from meetings to improve analysis/conclusions, begin writing
article for submission
May 2012—submit article for publication
Deadline for Projects—May 2013
Necessary Resources (Datasets):
Breeding Bird Survey, Christmas Bird Count, USGS Phenology Products, SNODAS Data
Communication Plan—Dissemination—Preferred Outcome—Talk with your Tribal Leaders—local
groups
1. Participate in the USGS North American Bird Phenology Program-
http://www.pwrc.usgs.gov/bpp/
2. Present at conferences (above)
3. Submit article(s) for publication in appropriate scientific journal.
4. Charts will be included in a larger publication on predatory birds in North Dakota
SHRIKES CONTINUED—
To improve Shrike study by trying to detect effect of late freeze/storms on incorporating annual
temperature and precipitation data with Phenology study. Bring in temperature & precipitation annual
graphs to examine if there was an early green-up but a May freeze—what happens to birds. Model
shrike trends in response to phenology in order to make predictions based on IPCC report for our region
(4-degree temp increase, etc.)—Get publication submitted.
URINE PROJECT CONTINUED—
Continue line of investigation by doing the basic experiments necessary to examine the potential of the
ASD FieldSpec 3 and/or ASD Handheld Spectrometer to detect urine in the UV-range.
PHENOLOGY PRODUCTS— www.phenology.cr.usgs.gov
Acronym Phenological Interpretation Description
SOST Beginning of measurable Day of year identified as having a consistent
photosynthesis in the vegetation upward trend in time series NDVI
canopy
SOSN Level of photosynthetic activity at the NDVI value (or baseline) identified at the day of year
beginning of measurable photosynthesis identified as a consistent upward trend in time series
NDVI
EOST End of measurable photosynthesis in Day of year identified at the end of a consistent
the vegetation canopy downward trend in time series NDVI
EOSN Level of photosynthetic activity at the NDVI value corresponding with the day of year
end of measurable photosynthesis identified at the end of a consistent downward trend in
time series NDVI
MAXT Time of maximum photosynthesis in the Day of year corresponding to the maximum NDVI in an
canopy annual time series
MAXN Maximum level of photosynthetic Maximum NDVI in an annual time series
activity in the canopy
DUR Length of photosynthetic activity (the Number of days from the SOST to the EOST
growing season)
AMP Maximum increase in canopy Difference between MAXN and SOSN
photosynthetic activity above the
baseline
TIN Canopy photosynthetic activity Daily (interpolated) integration of NDVI above
across the entire growing season the baseline for the entire duration of the
growing season
SNODAS DATA— http://nsidc.org/data/g02158.html
Data only from 2003-2011
National Operational Hydrologic Remote Sensing Center. 2004. Snow Data Assimilation System
(SNODAS) Data Products at NSIDC. Boulder, Colorado USA: National Snow and Ice Data Center. Digital
media.
The data are available through the FTP site as daily tar files with the following naming convention and as
described in Table 2:
SNODAS_YYYYMMDD.tar
Table 2. FTP Daily Tar File Variables
Variable Description
SNODAS Identifies this as SNODAS data
YYYY 4-digit year
MM 2-digit month
DD 2-digit day of month
.tar Identifies that this file has been tarred
Breeding Bird Survey Data – http://137.227.245.162/BBS/
Christmas Bird Count – http://web4.audubon.org/bird/cbc/hr/
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