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.
Data Records
The data in this sampling event resource has been published as a Darwin Core Archive (DwC-A), which is a standardized format for sharing biodiversity data as a set of one or more data tables. The core data table contains 144 records.
1 extension data tables also exist. An extension record supplies extra information about a core record. The number of records in each extension data table is illustrated below.
This IPT archives the data and thus serves as the data repository. The data and resource metadata are available for download in the downloads section. The versions table lists other versions of the resource that have been made publicly available and allows tracking changes made to the resource over time.
Versions
The table below shows only published versions of the resource that are publicly accessible.
How to cite
Researchers should cite this work as follows:
Aneece I, Epstein H (2023): Vegetation survey data from Blandy Experimental Farm in Virginia for the years 2012 and 2014. v1.1. United States Geological Survey. Dataset/Samplingevent. https://bison.usgs.gov/ipt/resource?r=blandy-vegetation-survey-2012-2014&v=1.1
Rights
Researchers should respect the following rights statement:
The publisher and rights holder of this work is United States Geological Survey. This work is licensed under a Creative Commons Attribution (CC-BY 4.0) License.
GBIF Registration
This resource has been registered with GBIF, and assigned the following GBIF UUID: 108c81f6-29d4-4cd9-a190-85aab305e416. United States Geological Survey publishes this resource, and is itself registered in GBIF as a data publisher endorsed by GBIF-US.
Keywords
Occurrence
Contacts
- Metadata Provider ●
- Originator ●
- Point Of Contact
http://orcid.org/0000-0002-1201-5459
- Originator
- Processor
Geographic Coverage
Blandy Experimental Farm (BEF) in north-western Virginia, USA
| Bounding Coordinates | South West [39.035, -78.079], North East [39.067, -78.032] |
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Temporal Coverage
| Start Date / End Date | 2012-06-10 / 2014-06-17 |
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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.
Additional Metadata
| Alternative Identifiers | https://bison.usgs.gov/ipt/resource?r=blandy-vegetation-survey-2012-2014 |
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