globalchange  > 气候减缓与适应
DOI: 10.1002/ecs2.2540
WOS记录号: WOS:000461577000002
论文题名:
The terrestrial organism and biogeochemistry spatial sampling design for the National Ecological Observatory Network
作者: Barnett, David T.1; Duffy, Paul A.2; Schimel, David S.3; Krauss, Rachel E.1; Irvine, Kathryn M.4; Davis, Frank W.5; Gross, John E.6; Azuaje, Elena, I1,9; Thorpe, Andrea S.1,10; Gudex-Cross, David1,11; Patterson, Michael1,12; McKay, Jalynda M.1,13; McCorkel, Joel T.7; Meier, Courtney L.1,8
通讯作者: Barnett, David T.
刊名: ECOSPHERE
ISSN: 2150-8925
出版年: 2019
卷: 10, 期:2
语种: 英语
英文关键词: National Ecological Observatory Network ; sampling terrestrial organisms and biogeochemistry ; spatial sample design ; Special Feature: NEON Design
WOS关键词: NATURAL-RESOURCES ; CLIMATE-CHANGE ; ELEVATION ; INFERENCE ; TRENDS ; TERM ; ASSIMILATION ; DYNAMICS ; GRADIENT ; FOREST
WOS学科分类: Ecology
WOS研究方向: Environmental Sciences & Ecology
英文摘要:

The National Ecological Observatory Network (NEON) seeks to facilitate ecological prediction at a continental scale by measuring processes that drive change and responses at sites across the United States for thirty years. The spatial distribution of observations of terrestrial organisms and soil within NEON sites is determined according to a "design-based" sample design that relies on the randomization of sampling locations. Development of the sample design was guided by high-level NEON objectives and the multitude of data products that will be subjected to numerous analytical approaches to address the causes and consequences of ecological change. A requirement framework permeates the NEON design, ensuring traceability from each facet of the design to the high-level requirements that make the NEON mission statement actionable. Requirements were developed for the terrestrial sample design to guide the key components of the design:


1. Randomizing the sample locations ensures the unbiased collection of data, is appropriate for organisms and soil, and provides data suitable for a variety of analyses.


2. Stratification increases efficiency and allows sampling to focus on those parts of the landscape measured by other NEON observation platforms.


3. Attention to the sample size and spatial plot allocation ensures that data products will be sufficient to inform questions asked of the data and the NEON objectives.


4. Establishing a framework with the capacity for re-evaluate and design iteration allows for adaption to unexpected challenges and optimization of the sample design based on early data returns.


The utility of the NEON sampling design is highlighted by its application across terrestrial systems. The data generated from this unique design will be used to quantify patterns in: the abundance and diversity of small mammals, breeding birds, insects, and soil microbes; vegetation structure, biomass, productivity, and diversity; and soil biogeochemistry.


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资源类型: 期刊论文
标识符: http://119.78.100.158/handle/2HF3EXSE/128819
Appears in Collections:气候减缓与适应

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作者单位: 1.Battelle Mem Inst, 1685 38th St,Suite 100, Boulder, CO 80301 USA
2.Neptune & Co, 1435 Garrison St,Suite 100, Lakewood, CO 80215 USA
3.NASA, Jet Prop Lab, 4800 Grove Dr, Pasadena, CA 91109 USA
4.US Geol Survey, Northern Rocky Mt Sci Ctr, 2327 Univ Way, Bozeman, MT 59715 USA
5.Univ Calif Santa Barbara, Bren Sch Environm Sci & Management, 240 Bren Hall, Santa Barbara, CA 93106 USA
6.Natl Pk Serv, Climate Change Response Program, Nat Resource Stewardship & Sci, Ft Collins, CO 80525 USA
7.NASA, Goddard Space Flight Ctr, 8800 Greenbelt Rd, Greenbelt, MD 20771 USA
8.Univ Colorado, Inst Arctic & Alpine Res, Campus Box 450, Boulder, CO 80309 USA
9.Mediterranean Inst Adv Studies, 21 Miguel Marques, Illes Balears, Spain
10.Washington Nat Heritage Program, Olympia, WA 98504 USA
11.Univ Vermont, Rubenstein Sch Environm & Nat Resources, Burlington, VT 05405 USA
12.Oracle Data Cloud, 500 Eldorado Blvd, Broomfield, CO 80021 USA
13.Univ Wyoming, Civil & Architectural Engn, 1000 East Univ Avemue, Laramie, WY 82071 USA

Recommended Citation:
Barnett, David T.,Duffy, Paul A.,Schimel, David S.,et al. The terrestrial organism and biogeochemistry spatial sampling design for the National Ecological Observatory Network[J]. ECOSPHERE,2019-01-01,10(2)
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