Vegetation survey data from Blandy Experimental Farm in Virginia for the years 2012 and 2014
Citation
Aneece I, Epstein H (2023). Vegetation survey data from Blandy Experimental Farm in Virginia for the years 2012 and 2014. United States Geological Survey. Sampling event dataset https://doi.org/10.15468/vpjhj6 accessed via GBIF.org on 2024-11-10.Description
Vegetation survey data collected in the summers of 2012 and 2014 by Itiya Aneece at the Blandy Experimental Farm (BEF) in north-central Virginia as part of her PhD dissertation. Vegetation was surveyed in four main study areas at BEF: northeast (NE) and southwest (SW) successional fields, Lake Arnold (LA), and a strip of land near the northeast successional field (NEB). The NE and SW successional fields were in various stages of succession: early (E), mid (M), and late (L), which follow NE and SW in the Plot code. Several 5m x 5m plots were established in each field, and vegetation surveys were conducted at 0.5m intervals within each plot at ground, understory, and canopy-level using the dowel method. The relative observation frequency of each species was determined based on the total number of observations at 0.5m intervals compared to the total number of observations in each plot. Please note although the utmost effort was made in identifying plant species, the user is responsible for assessing the species composition data for quality. For more details on these data and the studies they were used for, please see the following publications: Aneece, I. and Epstein, H.E. 2015. Distinguishing early successional plant communities using ground-level hyperspectral data. Remote Sensing, 7(12): 16588-16606. Aneece, I., 2016. Assessing the Role of Invasive Species in Successional Plant Communities Using Hyperspectral Remote Sensing. PhD Dissertation, University of Virginia, Department of Environmental Sciences. Available at: https://doi.org/10.18130/V38575. Aneece, I. and Epstein, H.E. 2017. Identifying and mapping species using remote sensing in successional systems of north central Virginia. International Journal of Remote Sensing, 38(1): 100-122. Aneece, I., Epstein, H.E., and Lerdau, M. 2017. Correlating species and spectral diversity using remote sensing in successional fields in Virginia. Ecology and Evolution, 7(10): 3475-3488.Taxonomic Coverages
Geographic Coverages
Blandy Experimental Farm (BEF) in north-western Virginia, USA
Bibliographic Citations
- Aneece, I. and Epstein, H.E. 2015. Distinguishing early successional plant communities using ground-level hyperspectral data. Remote Sensing, 7(12): 16588-16606. -
- Aneece, I., 2016. Assessing the Role of Invasive Species in Successional Plant Communities Using Hyperspectral Remote Sensing. PhD Dissertation, University of Virginia, Department of Environmental Sciences. - https://doi.org/10.18130/V38575
- Aneece, I., Epstein, H.E., and Lerdau, M. 2017. Correlating species and spectral diversity using remote sensing in successional fields in Virginia. Ecology and Evolution, 7(10): 3475-3488. -
Contacts
Itiya Aneeceoriginator
position: Research Geographer
Western Geographic Science Center, U.S. Geological Survey
email: ianeece@usgs.gov
userId: http://orcid.org/0000-0002-1201-5459
Howard Epstein
originator
position: Professor of Environmental Sciences
University of Virginia
email: hee2b@virginia.edu
userId: http://orcid.org/0000-0003-2817-4486
Itiya Aneece
metadata author
position: Research Geographer
Western Geographic Science Center, U.S. Geological Survey
email: ianeece@usgs.gov
userId: http://orcid.org/0000-0002-1201-5459
Abigail Benson
publisher
position: Biologist
U.S. Geological Survey
email: albenson@usgs.gov
userId: http://orcid.org/0000-0002-4391-107X
Kelsey Huelsman
processor
position: Graduate Student
University of Virginia Department of Environmental Science
email: ksh5s@virginia.edu
userId: http://orcid.org/0000-0001-6696-6295
Itiya Aneece
administrative point of contact
position: Research Geographer
Western Geographic Science Center, U.S. Geological Survey
email: ianeece@usgs.gov
userId: http://orcid.org/0000-0002-1201-5459