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  3. Biophysical drivers for predicting the distribution and abundance of invasive yellow sweet clover in the Northern Great Plains

Biophysical drivers for predicting the distribution and abundance of invasive yellow sweet clover in the Northern Great Plains

Dates

Publication Date
Start Date
2019-05
End Date
2019-09

Citation

Saraf, S., John, R., Boyte, S.P., and Rigge, M.B., 2023, Biophysical drivers for predicting the distribution and abundance of invasive yellow sweet clover in the Northern Great Plains: U.S. Geological Survey data release, https://doi.org/10.5066/P9X08W4T.

Summary

Yellow sweetclover (Melilotus officinalis; YSC), an invasive biennial legume, bloomed throughout the Northern Great Plains (NGP) following greater-than-average precipitation during 2018-2019. YSC can increase nitrogen (N) levels and potentially cause broad changes in the composition of native plant species communities. There is little knowledge of the drivers behind its spatiotemporal variability, including conditions causing significant widespread blooms across western South Dakota (SD). We aimed to develop a generalized prediction model to map the relative abundance of YSC in suitable habitats across rangelands of western SD for the recent sweet clover year 2019. The following research questions were asked: 1. What is the spatial [...]

Contacts

Point of Contact :
Stephen P Boyte
Originator :
Sakshi Saraf, Ranjeet John, Stephen P Boyte, Matthew B Rigge
Metadata Contact :
Stephen P Boyte
Publisher :
U.S. Geological Survey
Distributor :
U.S. Geological Survey - ScienceBase
SDC Data Owner :
Earth Resources Observation and Science (EROS) Center
USGS Mission Area :
Core Science Systems

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metadata_ysc_western.SD_2019.xml
Original FGDC Metadata
View 		25.6 KB application/fgdc+xml
6.05 GB image/tiff
6.05 GB image/tiff
Study_Area_YSC_2019.PNG thumbnail 145.5 KB image/png

Purpose

The purpose of this release is to provide land managers and researchers spatially explicit distribution and abundance of yellow sweetclover for the year 2019 across western SD. This study helps in inspecting response curves to understand the importance of various abiotic and biotic factors to YSC distribution. Distribution maps could help aid land managers in devising strategies for regions that are prone to YSC outbreaks.
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DOI https://www.sciencebase.gov/vocab/category/item/identifier doi:10.5066/P9X08W4T

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