Vegetation survey data from Blandy Experimental Farm in Virginia for the years 2012 and 2014

Sampling event
最新版本 published by United States Geological Survey on 2月 6, 2023 United States Geological Survey
發布日期:
2023年2月6日
授權條款:
CC-BY 4.0

下載最新版本的 Darwin Core Archive (DwC-A) 資源,或資源詮釋資料的 EML 或 RTF 文字檔。

DwC-A資料集 下載 144 紀錄 在 English 中 (28 KB) - 更新頻率: 無計畫更新
元數據EML檔 下載 在 English 中 (8 KB)
元數據RTF文字檔 下載 在 English 中 (9 KB)

說明

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.

資料紀錄

此資源sampling event的資料已發佈為達爾文核心集檔案(DwC-A),其以一或多組資料表構成分享生物多樣性資料的標準格式。 核心資料表包含 144 筆紀錄。

亦存在 1 筆延伸集的資料表。延伸集中的紀錄補充核心集中紀錄的額外資訊。 每個延伸集資料表中資料筆數顯示如下。

Event (核心)
144
Occurrence 
1008

此 IPT 存放資料以提供資料儲存庫服務。資料與資源的詮釋資料可由「下載」單元下載。「版本」表格列出此資源的其它公開版本,以便利追蹤其隨時間的變更。

版本

以下的表格只顯示可公開存取資源的已發布版本。

如何引用

研究者應依照以下指示引用此資源。:

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

權利

研究者應尊重以下權利聲明。:

此資料的發布者及權利單位為 United States Geological Survey。 This work is licensed under a Creative Commons Attribution (CC-BY 4.0) License.

GBIF 註冊

此資源已向GBIF註冊,並指定以下之GBIF UUID: 108c81f6-29d4-4cd9-a190-85aab305e416。  United States Geological Survey 發佈此資源,並經由GBIF-US同意向GBIF註冊成為資料發佈者。

關鍵字

Occurrence

聯絡資訊

Itiya Aneece
  • 元數據提供者
  • 出處
  • 連絡人
  • Research Geographer
Western Geographic Science Center, U.S. Geological Survey
Howard Epstein
  • 出處
  • Professor of Environmental Sciences
University of Virginia
Abigail Benson
  • 發布者
  • Biologist
U.S. Geological Survey
Kelsey Huelsman
  • 處理者
  • Graduate Student
University of Virginia Department of Environmental Science

地理涵蓋範圍

Blandy Experimental Farm (BEF) in north-western Virginia, USA

界定座標範圍 緯度南界 經度西界 [39.035, -78.079], 緯度北界 經度東界 [39.067, -78.032]

時間涵蓋範圍

起始日期 / 結束日期 2012-06-10 / 2014-06-17

引用文獻

  1. Aneece, I. and Epstein, H.E. 2015. Distinguishing early successional plant communities using ground-level hyperspectral data. Remote Sensing, 7(12): 16588-16606.
  2. 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
  3. 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.