A parsimonious modular approach to building a mechanistic belowground carbon and nitrogen model-Reference-Cited by-同舟云学术

登录注册会员服务联系我们

A parsimonious modular approach to building a mechanistic belowground carbon and nitrogen model

Published:2017-09 Issue:9 Volume:122 Page:2418-2434
ISSN:2169-8953
Container-title:Journal of Geophysical Research: Biogeosciences
language:en
Short-container-title:J. Geophys. Res. Biogeosci.

Author:

Abramoff Rose Z.¹²^ORCID,Davidson Eric A.³^ORCID,Finzi Adrien C.¹^ORCID

Affiliation:

1. Department of Biology and PhD Program in Biogeoscience Boston University Boston Massachusetts USA

2. Climate Sciences Department, Climate and Ecosystem Sciences Division Lawrence Berkeley National Laboratory Berkeley California USA

3. Appalachian Laboratory University of Maryland Center for Environmental Sciences Frostburg Maryland USA

Funder

U.S. Department of Energy

National Science Foundation

U.S. Department of Agriculture

American Association of University Women

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/10.1002/2017JG003796

Reference111 articles.

1. Seasonality and partitioning of root allocation to rhizosphere soils in a midlatitude forest

2. Contribution of sorption, DOC transport and microbial interactions to the 14C age of a soil organic carbon profile: Insights from a calibrated process model

3. Soil-carbon response to warming dependent on microbial physiology

4. Über die Dissociationswärme und den Einfluss der Temperatur auf den Dissociationsgrad der Elektrolyte

Cited by 40 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. Modeling Microbial Regulatory Feedback in Organic Matter Decomposition Identifies Copiotrophic Traits as Key Drivers of Positive Priming;2024-08-11

2. A Computationally Efficient Method for Parameter Sensitivity Analysis of Microbially Explicit Biogeochemical Models Accounting for Long‐Term Behavior;Journal of Geophysical Research: Biogeosciences;2024-03-31

3. Simulation Modeling of Forest Soil Respiration: Case Study of Entic Carbic Podzol under Coniferous–Broadleaved Forest in the South of Moscow Oblast;Eurasian Soil Science;2023-09

4. Simulation Modeling of Forest Soil Respiration on the Example of Entic Carbic Podzol of Coniferous-Broad-Leaved Forest in the South of Moscow Region;Почвоведение;2023-09-01

5. Microbial Models for Simulating Soil Carbon Dynamics: A Review;Journal of Geophysical Research: Biogeosciences;2023-08

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线，采集、加工和组织学术论文而形成的新型学术文献查询和分析系统，可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容，当前同舟云学术共收录了国内外主流学术期刊6万余种，收集的期刊论文及会议论文总量共计约1.5亿篇，并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询！咨询电话：010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号京ICP备18003416号-3