說明
This table contains monitoring data collected nationally for the BLM Landscape Monitoring Framework. Data are collected in accordance with the BLM AIM (Assessment, Inventory, and Monitoring) Strategy. The AIM Strategy specifies a probabilistic sampling design, standard, core indicators and methods, and electronic data capture and management. Attributes (columns) include plant species occurrence information collected using the Plant Census protocol generalized to the county level (see Entity/Attribute section). Species occurrences inform the AIM core indicators of vegetation composition, plant species of management concern, and invasive species. Data were collected and managed through agreements with the USDA-Natural Resources Conservation Service and the Iowa State University Center for Survey Statistics and Methodology.
Purpose: This dataset was created to monitor the status, condition and trend of national BLM resources in accordance with BLM policies. Specifically, species occurrences inform the BLM AIM core indicators of vegetation composition, plant species of management concern, and invasive species.
資料紀錄
此資源出現紀錄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 44,626 筆紀錄。
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。:
Taylor, J.J., E.J. Kachergis, G.R. Toevs, J.W. Karl, M.R. Bobo, M. Karl, S. Miller, and C.S. Spurrier. 2014. AIM-Monitoring: A Component of the BLM Assessment, Inventory, and Monitoring Strategy. Technical Note 445. U.S. Department of the Interior, Bureau of Land Management, National Operations Center, Denver, CO.
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。 To the extent possible under law, the publisher has waived all rights to these data and has dedicated them to the Public Domain (CC0 1.0). Users may copy, modify, distribute and use the work, including for commercial purposes, without restriction.
GBIF 註冊
此資源已向GBIF註冊，並指定以下之GBIF UUID: 84c00a71-0735-4a47-bf55-8556dcafa5c2。 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
Metadata; biota; environment; range; wildlife; vegetation; endangered; hydrology; National Resources Inventory; Landscape Monitoring Framework; Plant Census; AIM; Observation; Occurrence
聯絡資訊
- 內容提供者 ●
- 元數據提供者 ●
- 出處 ●
- 連絡人
- Landscape Ecologist
- Denver Federal Center, Building 50
- +1 303-236-0071
- 出處
- biologist & information scientist
- 處理者
- Geographer
- 12201 Sunrise Valley Drive, Mailstop 302
- +1 703 648 4365
- 連絡人
- Lead Geospatial Manager
- Resource Programs Data Coordinator
- 連絡人
- Bureau Data Administrator
- 託管人
- Program Manager and Data Steward
地理涵蓋範圍
Utah, Colorado, Wyoming, Montana, Nevada, California, Oregon, New Mexico, Arizona, Idaho. Note that while Washington state falls within the described lat/lon quadrant, it is not mentioned as included in the metadata resource.
| 界定座標範圍 | 緯度南界 經度西界 [31.38, -124.26], 緯度北界 經度東界 [48.9, -102.68] |
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分類群涵蓋範圍
Plants, lichens, fungi. Kingdom cannot be globally specified on this dataset, although all but a handful of records are plants.
| Kingdom | Plantae (plants), Fungi (fungi) |
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時間涵蓋範圍
| 起始日期 / 結束日期 | 2004-09-01 / 2014-06-04 |
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計畫資料
| 計畫名稱 | BLM - National Landscape Monitoring Framework Data - Species Occurrences from Plant Census by County - 2011 and 2013 |
|---|---|
| 經費來源 | BLM |
| 研究區域描述 | This dataset was created to monitor the status, condition and trend of national BLM resources in accordance with BLM policies. Specifically, species occurrences inform the BLM AIM core indicators of vegetation composition, plant species of management concern, and invasive species. |
| 研究設計描述 | Data were collected by trained data collectors with the USDA-NRCS and partner organizations. They followed the NRI grazing land on-site data collection protocols (http://www.nrisurvey.org/nrcs/Grazingland/2011/instructions/instruction.htm). Data were captured electronically and managed by the Iowa State University Center for Survey Statistics and Methodology (ISU CSSM). This dataset has undergone rigorous QA/QC to ensure data quality. |
參與計畫的人員:
- 內容提供者
取樣方法
Data were collected by trained data collectors with the USDA-NRCS and partner organizations. They followed the NRI grazing land on-site data collection protocols (http://www.nrisurvey.org/nrcs/Grazingland/2011/instructions/instruction.htm). Data were captured electronically and managed by the Iowa State University Center for Survey Statistics and Methodology (ISU CSSM). Plant species name corresponding to the plant species code. This is drawn from a 2004 version of the USDA Plants database.
| 研究範圍 | Plant species occurrence noted using the Plant Census protocol in the BLM National Landscape Monitoring Framework, generalized to the county level. The plant species observed within the plot as part of the plant census method (Chapter 16). The code corresponds to a code from the USDA PLANTS database. The species list is from a 2004 PLANTS download for sample years 2011-2012; for sample year 2014, the species list is from 2013. |
|---|---|
| 品質控管 | This dataset has undergone rigorous QA/QC to ensure data quality. However, the BLM assumes no responsibility for errors or omissions. No warranty is made by the BLM as to the accuracy, reliability, or completeness of these data for individual use or aggregate use with other data; nor shall the act of distribution to contractors, partners, or beyond, constitute any such warranty for individual or aggregate data use with other data. Although these data have been processed successfully on computers of BLM, no warranty, expressed or implied, is made by BLM regarding the use of these data on any other system, or for general or scientific purposes, nor does the fact of distribution constitute or imply any such warranty. In no event shall the BLM have any liability whatsoever for payment of any consequential, incidental, indirect, special, or tort damages of any kind, including, but not limited to, any loss of profits arising out of the use or reliance on the geographic data or arising out of the delivery, installation, operation, or support by BLM. |
方法步驟描述:
- Entities are single occurrences of plant species observed using the Plant Census method as part of the BLM National Landscape Monitoring Framework in 2011-2013. Attributes include states, counties, and species codes from the USDA PLANTS database for each occurrence. Species were obseved at points chosen using a probabilistic sample design across all BLM Lands in the lower 48 US states. For the Plant Census protocol, see the following link from the NRCS and Iowa State University Center for Survey Statistics and Methodology: http://www.nrisurvey.org/nrcs/Grazingland/2011/instructions/R-ch16_09vf.pdf
額外的詮釋資料
These data are provided by Bureau of Land Management (BLM) “as is” and might contain errors or omissions. The User assumes the entire risk associated with its use of these data and bears all responsibility in determining whether these data are fit for the User’s intended use. The information contained in these data is dynamic and may change over time. The data are not better than the sources from which they were derived, and both scale and accuracy may vary across the data set. These data might not have the accuracy, resolution, completeness, timeliness, or other characteristics appropriate for applications that potential users of the data may contemplate. The User is encouraged to carefully consider the content of the metadata file associated with these data. These data are neither legal documents nor land surveys, and must not be used as such. Official records may be referenced at most BLM offices. Please report any errors in the data to the BLM office from which it was obtained. The BLM should be cited as the data source in any products derived from these data. Any Users wishing to modify the data should describe the types of modifications they have performed. The User should not misrepresent the data, nor imply that changes made were approved or endorsed by BLM. This data may be updated by the BLM without notification. The BLM assumes no responsibility for errors or omissions. No warranty is made by the BLM as to the accuracy, reliability, or completeness of these data for individual use or aggregate use with other data; nor shall the act of distribution to contractors, partners, or beyond, constitute any such warranty for individual or aggregate data use with other data. Although these data have been processed successfully on computers of BLM, no warranty, expressed or implied, is made by BLM regarding the use of these data on any other system, or for general or scientific purposes, nor does the fact of distribution constitute or imply any such warranty. In no event shall the BLM have any liability whatsoever for payment of any consequential, incidental, indirect, special, or tort damages of any kind, including, but not limited to, any loss of profits arising out of the use or reliance on the geographic data or arising out of the delivery, installation, operation, or support by BLM.
| 目的 | The Assessment, Inventory, and Monitoring (AIM) strategy provides a process for the Bureau of Land Management (BLM) to collect quantitative information on location and abundance, condition, and trend of renewable resources on the nation’s public lands. The Office of Management and Budget (OMB) conducted a program evaluation of the Bureau of Land Management (BLM) resource protection activities in 2004. They found gaps in the monitoring of resource conditions to support management decisions and that the BLM had no reliable mechanism for reporting on the condition of public lands above the local scale. In response to OMB, the BLM developed a consistent monitoring approach called the Assessment, Inventory, and Monitoring (AIM) Strategy for Integrated Renewable Resources Management to standardize indicators and methods that were already commonly used across the BLM. The purpose of AIM is to move the BLM toward an integrated data collection approach that includes three components: 1) a standard set of core indicators and associated methods for terrestrial vegetation and soils as well as aquatic systems 2) a statistically valid sampling framework that allows unbiased inference data sets collected in different areas and for different objectives to be aggregated at different scales (unbiased inferences) 3) integration of remote sensing and ground-based technologies to maximize BLM’s capacity to cost-effectively address management questions at multiple spatial scales. AIM also strives to allow management of data as a corporate asset for multiple uses and improve data accessibility for the field and Washington Office. |
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| 替代的識別碼 | 84c00a71-0735-4a47-bf55-8556dcafa5c2 |
| https://ipt.gbif.us/resource?r=blm-nlmfd-plantcensus |