Spatial biases of information influence global estimates of soil respiration: How can we improve global predictions?-Reference-Cited by-同舟云学术

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Spatial biases of information influence global estimates of soil respiration: How can we improve global predictions?

Published:2021-05-20 Issue:16 Volume:27 Page:3923-3938
ISSN:1354-1013
Container-title:Global Change Biology
language:en
Short-container-title:Glob Change Biol

Author:

Stell Emma¹^ORCID,Warner Daniel²^ORCID,Jian Jinshi³^ORCID,Bond‐Lamberty Ben³^ORCID,Vargas Rodrigo¹⁴^ORCID

Affiliation:

1. Department of Geography and Spatial Sciences University of Delaware Newark DE USA

2. Delaware Geological Survey University of Delaware Newark DE USA

3. Pacific Northwest National LaboratoryJoint Global Change Research Institute College Park MD USA

4. Department of Plant and Soil Sciences University of Delaware Newark DE USA

Funder

National Aeronautics and Space Administration

Publisher

Wiley

Subject

General Environmental Science,Ecology,Environmental Chemistry,Global and Planetary Change

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1111/gcb.15666

Reference76 articles.

1. The dominant role of semi-arid ecosystems in the trend and variability of the land CO 2 sink

2. Soil respiration at mean annual temperature predicts annual total across vegetation types and biomes

3. Iterative random forests to discover predictive and stable high-order interactions

4. Terrestrial Gross Carbon Dioxide Uptake: Global Distribution and Covariation with Climate

5. A random forest guided tour

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3. Short-term effect of the harvesting method on ecosystem carbon budget in hemiboreal Scots pine forest: Shelterwood cutting versus clear-cut;Forest Ecology and Management;2024-06

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