Using large, open datasets to understand spatial and temporal patterns in lotic ecosystems: <scp>NEON</scp> case studies-Reference-Cited by-同舟云学术

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Using large, open datasets to understand spatial and temporal patterns in lotic ecosystems: NEON case studies

Published:2022-05 Issue:5 Volume:13 Page:
ISSN:2150-8925
Container-title:Ecosphere
language:en
Short-container-title:Ecosphere

Author:

Edmonds Jennifer W.¹^ORCID,King Katelyn B. S.²^ORCID,Neely Merrie Beth³^ORCID,Hensley Robert T.⁴^ORCID,Goodman Keli J.⁴^ORCID,Cawley Kaelin M.⁴^ORCID

Affiliation:

1. Department of Physical and Life Sciences Nevada State College Henderson Nevada USA

2. Department of Fisheries and Wildlife Michigan State University East Lansing Michigan USA

3. Global Science and Technology Greenbelt Maryland USA

4. Battelle, National Ecological Observatory Network Boulder Colorado USA

Funder

National Science Foundation of Sri Lanka

Publisher

Wiley

Subject

Ecology,Ecology, Evolution, Behavior and Systematics

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1002/ecs2.4102

Reference74 articles.

1. Unexpected spatial stability of water chemistry in headwater stream networks

2. Overcoming Equifinality: Leveraging Long Time Series for Stream Metabolism Estimation

3. Interpretation of surface water quality using principal components analysis and cluster analysis

4. Letter to the editor

5. The metabolic regimes of flowing waters

Cited by 1 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Advances in Catchment Science, Hydrochemistry, and Aquatic Ecology Enabled by High-Frequency Water Quality Measurements;Environmental Science & Technology;2023-03-13

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