Incorporation of NPP into forest CH4 efflux models

Xiaoqi Zhou; Hanling Zuo; Simeon J. Smaill

doi:10.1016/j.tplants.2021.09.007

Incorporation of NPP into forest CH₄ efflux models

Xiaoqi Zhou^*
, Hanling Zuo
, Simeon J. Smaill

^*此作品的通讯作者

生态与环境科学学院

East China Normal University
Scion

科研成果: 期刊稿件 › 短篇评述 › 同行评审

13 引用（Scopus）

摘要

Forest soils are the largest atmospheric methane (CH₄) sinks in terrestrial ecosystems, but models simulating this uptake have considerable uncertainties. Soil organic matter derived from aboveground vegetation net primary productivity (NPP) significantly influences CH₄ uptake; therefore, we propose that the incorporation of NPP into global CH₄ uptake models will greatly improve model predictions.

源语言	英语
页（从-至）	1210-1212
页数	3
期刊	Trends in Plant Science
卷	26
期	12
DOI	https://doi.org/10.1016/j.tplants.2021.09.007
出版状态	已出版 - 12月 2021

联合国可持续发展目标

此成果有助于实现下列可持续发展目标：

可持续发展目标 15 陆地生物

访问文件

10.1016/j.tplants.2021.09.007

其它文件与链接

链接到 Scopus 的出版物

引用此

@article{871d6c72668e4c7c8dcfa3975d9c20c9,

title = "Incorporation of NPP into forest CH4 efflux models",

abstract = "Forest soils are the largest atmospheric methane (CH4) sinks in terrestrial ecosystems, but models simulating this uptake have considerable uncertainties. Soil organic matter derived from aboveground vegetation net primary productivity (NPP) significantly influences CH4 uptake; therefore, we propose that the incorporation of NPP into global CH4 uptake models will greatly improve model predictions.",

keywords = "CH oxidation potential, CH production potential, CH uptake, forest ecosystem, net primary productivity",

author = "Xiaoqi Zhou and Hanling Zuo and Smaill, \{Simeon J.\}",

note = "Publisher Copyright: {\textcopyright} 2021 Elsevier Ltd",

year = "2021",

month = dec,

doi = "10.1016/j.tplants.2021.09.007",

language = "英语",

volume = "26",

pages = "1210--1212",

journal = "Trends in Plant Science",

issn = "1360-1385",

publisher = "Elsevier Ltd",

number = "12",

}

TY - JOUR

T1 - Incorporation of NPP into forest CH4 efflux models

AU - Zhou, Xiaoqi

AU - Zuo, Hanling

AU - Smaill, Simeon J.

PY - 2021/12

Y1 - 2021/12

N2 - Forest soils are the largest atmospheric methane (CH4) sinks in terrestrial ecosystems, but models simulating this uptake have considerable uncertainties. Soil organic matter derived from aboveground vegetation net primary productivity (NPP) significantly influences CH4 uptake; therefore, we propose that the incorporation of NPP into global CH4 uptake models will greatly improve model predictions.

AB - Forest soils are the largest atmospheric methane (CH4) sinks in terrestrial ecosystems, but models simulating this uptake have considerable uncertainties. Soil organic matter derived from aboveground vegetation net primary productivity (NPP) significantly influences CH4 uptake; therefore, we propose that the incorporation of NPP into global CH4 uptake models will greatly improve model predictions.

KW - CH oxidation potential

KW - CH production potential

KW - CH uptake

KW - forest ecosystem

KW - net primary productivity

UR - https://www.scopus.com/pages/publications/85117176263

U2 - 10.1016/j.tplants.2021.09.007

DO - 10.1016/j.tplants.2021.09.007

M3 - 短篇评述

C2 - 34657828

AN - SCOPUS:85117176263

SN - 1360-1385

VL - 26

SP - 1210

EP - 1212

JO - Trends in Plant Science

JF - Trends in Plant Science

IS - 12

ER -

Incorporation of NPP into forest CH4 efflux models

摘要

联合国可持续发展目标

访问文件

其它文件与链接

学术指纹

引用此

Incorporation of NPP into forest CH₄ efflux models