Plant community traits and functions mediate the biomass trade-off of alpine grasslands along precipitation gradients on the Tibetan Plateau

Author:

Sun Le1,Sun Jian12,Wu Jun-Xi2,Du Zi-Yin3,Chen You-Jun4,Wang Yi5,Liu Miao6,Li Wen-Cheng1,Liang Er-Yuan1

Affiliation:

1. Key Laboratory of Tibetan Plateau Earth System, Environment and Resources, Institute of Tibetan Plateau Research, Chinese Academy of Sciences , Beijing 100101 , China

2. Key Laboratory of Ecosystem Network Observation and Modelling, Institute of Geographic Sciences and Natural Resources Research, Chinese Academy of Sciences , Beijing 100101 , China

3. School of Geographical Sciences, China West Normal University , Nanchong 637002 , China

4. Institute of the Qinghai-Tibetan Plateau, Southwest Minzu University , Chengdu 610500 , China

5. School of Life Sciences and School of Ecology, State Key Lab of Biological Control, Sun Yat-sen University , Guangzhou 510275 , China

6. College of Grassland Science and Technology, China Agricultural University , Beijing 100193 , China

Abstract

AbstractA better understanding the mechanisms driving plant biomass allocation in different ecosystems is an important theoretical basis for illustrating the adaptive strategies of plants. To date, the effects of habitat conditions on plant biomass allocation have been widely studied. However, it is less known how plant community traits and functions (PCTF) affect biomass allocation, particularly in alpine grassland ecosystems. In this study, community-weighted means (CWM) were calculated at the community level using five leaf functional traits, and the relationships between PCTF and biomass trade-offs were explored using correlation analysis, variation partitioning analysis and structural equation modeling. We found that the trade-off values were greater than zero in both alpine meadow (AM) and alpine steppe (AS) across the Tibetan Plateau, with different values of 0.203 and 0.088 for AM and AS, respectively. Moreover, the critical factors determining biomass allocation in AS were species richness (SR; scored at 0.69) and leaf dry matter content of CWM (CWMLDMC, scored at 0.42), while in AM, the key factors were leaf dry matter content (CWMLDMC, scored at 0.48) and leaf carbon content of CWM (CWMLC, scored at −0.45). In particular, both CWMLDMC and SR in AS, as well as CWMLDMC and CWMLC in AM were primarily regulated by precipitation. In summary, precipitation tends to drive biomass allocation in alpine grasslands through its effects on PCTF, hence highlighting the importance of PCTF in regulating plant biomass allocation strategies along precipitation gradients.

Funder

National Science Foundation of China

Second Tibetan Plateau Scientific Expedition and Research

Chinese Academy of Sciences and Qinghai Provincial People’s Government

Publisher

Oxford University Press (OUP)

Subject

Plant Science,Ecology,Ecology, Evolution, Behavior and Systematics

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