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Biomass allocation and productivity-richness relationship across four grassland types at the Qinghai Plateau.
Dai, Licong; Guo, Xiaowei; Ke, Xun; Lan, Yuting; Zhang, Fawei; Li, Yikang; Lin, Li; Li, Qian; Cao, Guangmin; Fan, Bo; Qian, Dawen; Zhou, Huakun; Du, Yangong.
Afiliación
  • Dai L; Qinghai Provincial Key Laboratory of Restoration Ecology for Cold Region Northwest Institute of Plateau Biology Chinese Academy of Sciences Xining China.
  • Guo X; Key Laboratory of Adaptation and Evolution of Plateau Biota Northwest Institute of Plateau Biology Chinese Academy of Sciences Xining China.
  • Ke X; University of Chinese Academy of Science Beijing China.
  • Lan Y; Qinghai Provincial Key Laboratory of Restoration Ecology for Cold Region Northwest Institute of Plateau Biology Chinese Academy of Sciences Xining China.
  • Zhang F; Key Laboratory of Adaptation and Evolution of Plateau Biota Northwest Institute of Plateau Biology Chinese Academy of Sciences Xining China.
  • Li Y; Qinghai Provincial Key Laboratory of Restoration Ecology for Cold Region Northwest Institute of Plateau Biology Chinese Academy of Sciences Xining China.
  • Lin L; Key Laboratory of Adaptation and Evolution of Plateau Biota Northwest Institute of Plateau Biology Chinese Academy of Sciences Xining China.
  • Li Q; University of Chinese Academy of Science Beijing China.
  • Cao G; Qinghai Provincial Key Laboratory of Restoration Ecology for Cold Region Northwest Institute of Plateau Biology Chinese Academy of Sciences Xining China.
  • Fan B; Key Laboratory of Adaptation and Evolution of Plateau Biota Northwest Institute of Plateau Biology Chinese Academy of Sciences Xining China.
  • Qian D; Qinghai Provincial Key Laboratory of Restoration Ecology for Cold Region Northwest Institute of Plateau Biology Chinese Academy of Sciences Xining China.
  • Zhou H; Key Laboratory of Adaptation and Evolution of Plateau Biota Northwest Institute of Plateau Biology Chinese Academy of Sciences Xining China.
  • Du Y; College of Life Sciences Luoyang Normal University Luoyang China.
Ecol Evol ; 10(1): 506-516, 2020 Jan.
Article en En | MEDLINE | ID: mdl-31988738
ABSTRACT
Aboveground biomass (AGB) and belowground biomass (BGB) allocation and productivity-richness relationship are controversial. Here, we assessed AGB and BGB allocation and the productivity-richness relationship at community level across four grassland types based on the biomass data collected from 80 sites across the Qinghai Plateau during 2011-2012. The reduced major axis regression and general linear models were used and showed that (a) the median values of AGB were significantly higher in alpine meadow than in other three grassland types; the ratio of root to shoot (R/S) was significantly higher in desert grassland (36.06) than intemperate grassland (16.60), alpine meadow (13.35), and meadow steppe (19.46). The temperate grassland had deeper root distribution than the other three grasslands, with about 91.45% roots distributed in the top 30 cm soil layer. (b) The slopes between log AGB and log BGB in the temperate grassland and meadow steppe were 1.09 and 1, respectively, whereas that in the desert grassland was 1.12, which was significantly different from the isometric allocation relationship. A competitive relationship between AGB and BGB was observed in the alpine meadow with a slope of -1.83, indicating a trade-off between AGB and BGB in the alpine meadow. (c) A positive productivity-richness relationship existed across the four grassland types, suggesting that the positive productivity-richness relationship might not be affected by the environmental factors at the plant location. Our results provide a new insight for biomass allocation and biodiversity-ecosystem functioning research.
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Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Tipo de estudio: Prognostic_studies Idioma: En Revista: Ecol Evol Año: 2020 Tipo del documento: Article

Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Tipo de estudio: Prognostic_studies Idioma: En Revista: Ecol Evol Año: 2020 Tipo del documento: Article
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