Optimizing Carbon Cycle Parameters Drastically Improves Terrestrial Biosphere Model Underestimates of Dryland Mean Net CO 2 Flux and its Inter‐Annual Variability-Reference-Cited by-同舟云学术

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Optimizing Carbon Cycle Parameters Drastically Improves Terrestrial Biosphere Model Underestimates of Dryland Mean Net CO 2 Flux and its Inter‐Annual Variability

Published:2021-10 Issue:10 Volume:126 Page:
ISSN:2169-8953
Container-title:Journal of Geophysical Research: Biogeosciences
language:en
Short-container-title:J Geophys Res Biogeosci

Author:

Mahmud Kashif¹^ORCID,Scott Russell L.²^ORCID,Biederman Joel A.²^ORCID,Litvak Marcy E.³^ORCID,Kolb Thomas⁴^ORCID,Meyers Tilden P.⁵,Krishnan Praveena⁵⁶^ORCID,Bastrikov Vladislav⁷⁸^ORCID,MacBean Natasha¹^ORCID

Affiliation:

1. Department of Geography Indiana University Bloomington IN USA

2. Southwest Watershed Research Center United States Department of Agriculture Agricultural Research Service Tucson AZ USA

3. Department of Biology University of New Mexico Albuquerque NM USA

4. School of Forestry Northern Arizona University Flagstaff AZ USA

5. NOAA/ARL Atmospheric Turbulence and Diffusion Division Oak Ridge TN USA

6. Oak Ridge Associated Universities Oak Ridge TN USA

7. Laboratoire des Sciences du Climat et de l’Environnement LSCE/IPSL CEA‐CNRS‐UVSQ Université Paris‐Saclay Gif‐sur‐Yvette France

8. Now at Science Partners Paris France

Funder

Science Foundation Arizona

Northern Arizona University

Indiana University

Publisher

American Geophysical Union (AGU)

Subject

Paleontology,Atmospheric Science,Soil Science,Water Science and Technology,Ecology,Aquatic Science,Forestry

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1029/2021JG006400

Reference115 articles.

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

2. Differential responses of production and respiration to temperature and moisture drive the carbon balance across a climatic gradient in New Mexico

3. Differences Between OCO‐2 and GOME‐2 SIF Products From a Model‐Data Fusion Perspective

4. Vegetation productivity responds to sub‐annual climate conditions across semiarid biomes

5. Prospects for improving savanna biophysical models by using multiple-constraints model-data assimilation methods

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1. Using phenology to unravel differential soil water use and productivity in a semiarid savanna;Ecosphere;2024-02

2. Bias-blind and bias-aware assimilation of leaf area index into the Noah-MP land surface model over Europe;Hydrology and Earth System Sciences;2023-11-14

3. Inner Mongolia grasslands act as a weak regional carbon sink: A new estimation based on upscaling eddy covariance observations;Agricultural and Forest Meteorology;2023-11

4. Interannual variability of spring and summer monsoon growing season carbon exchange at a semiarid savanna over nearly two decades;Agricultural and Forest Meteorology;2023-08

5. Global net biome CO ₂ exchange predicted comparably well using parameter–environment relationships and plant functional types;Global Change Biology;2023-01-09

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