Comparative study of soil respiration partitioning methods for herbaceous ecosystems

Soil CO2 efflux is a complex flux composed of autotrophic and heterotrophic sources of the CO2. To correctly estimate whether soil is and will be acting as a sink or a source for atmospheric CO2, these two principal components should be studied separately. This is because they respond differently to biological and environmental drivers. Studies which compare partitioning methods of soil CO2 in one single study using unique measurement equipment are lacking instead. In this study we attempted to compare three partitioning methods of soil CO2 efflux: mesh exclusion, combined SIR and regression method and to choose the most appropriate for herbaceous ecosystems (e.g. grasslands and urban lawns). Mesh exclusion and combined SIR demonstrated comparable results in determination of autotrophic and heterotrophic contribution to CO2 efflux and the methods were defined as suitable. Regression method necessitates ulterior improvements prior application in herbaceous ecosystems. © Springer International Publishing AG, part of Springer Nature 2019.

Авторы
Gavrichkova O. 1, 2 , Evdokimov I.3 , Valentini R. 4
Редакторы
-
Сборник статей
Издательство
Springer
Номер выпуска
-
Язык
Английский
Страницы
106-111
Статус
Опубликовано
Подразделение
-
Ссылка
-
Номер
-
Том
-
Год
2019
Организации
  • 1 Institute of Agro Environmental and Forest Biology, National Research Council, Porano, 05010, Italy
  • 2 Peoples Friendship University of Russia, (RUDN University), Moscow, 117198, Russian Federation
  • 3 Institute of Physicochemical and Biological Problems in Soil Science, RAS, Moscow region, Pushchino, 142290, Russian Federation
  • 4 Department for Innovation in Biological, Agro-food and Forest Systems, University of Tuscia, Viterbo, 01100, Italy
Ключевые слова
Grasslands; Lawns; Microbial-derived respiration; Partitioning; Root-derived respiration; Soil respiration
Дата создания
04.02.2019
Дата изменения
04.02.2019
Постоянная ссылка
https://repository.rudn.ru/ru/records/article/record/36152/