PMID- 38447733
OWN - NLM
STAT- MEDLINE
DCOM- 20240327
LR  - 20240327
IS  - 1879-1026 (Electronic)
IS  - 0048-9697 (Linking)
VI  - 923
DP  - 2024 May 1
TI  - Plant size traits are key contributors in the spatial variation of net primary 
      productivity across terrestrial biomes in China.
PG  - 171412
LID - S0048-9697(24)01553-5 [pii]
LID - 10.1016/j.scitotenv.2024.171412 [doi]
AB  - Understanding the spatial variability of ecosystem functions is an important step 
      forward in predicting changes in ecosystems under global transformations. Plant 
      functional traits are important drivers of ecosystem functions such as net 
      primary productivity (NPP). Although trait-based approaches have advanced 
      rapidly, the extent to which specific plant functional traits are linked to the 
      spatial diversity of NPP at a regional scale remains uncertain. Here, we used 
      structural equation models (SEMs) to disentangle the relative effects of abiotic 
      variables (i.e., climate, soil, nitrogen deposition, and human footprint) and 
      biotic variables (i.e., plant functional traits and community structure) on the 
      spatial variation of NPP across China and its eight biomes. Additionally, we 
      investigated the indirect influence of climate and soil on the spatial variation 
      of NPP by directly affecting plant functional traits. Abiotic and biotic 
      variables collectively explained 62.6 % of the spatial differences of NPP within 
      China, and 28.0 %-69.4 % across the eight distinct biomes. The most important 
      abiotic factors, temperature and precipitation, had positive effects for NPP 
      spatial variation. Interestingly, plant functional traits associated with the 
      size of plant organs (i.e., plant height, leaf area, seed mass, and wood density) 
      were the primary biotic drivers, and their positive effects were independent of 
      biome type. Incorporating plant functional traits improved predictions of NPP by 
      6.7 %-50.2 %, except for the alpine tundra on the Qinghai-Tibet Plateau. Our 
      study identifies the principal factors regulating NPP spatial variation and 
      highlights the importance of plant size traits in predictions of NPP variation at 
      a large scale. These results provide new insights for involving plant size traits 
      in carbon process models.
CI  - Copyright (c) 2024 Elsevier B.V. All rights reserved.
FAU - An, Nannan
AU  - An N
AD  - Key Laboratory for Humid Subtropical Eco-geographical Process of Ministry of 
      Education, School of Geographical Sciences, Fujian Normal University, Fuzhou 
      350117, China; State Key Laboratory of Urban and Regional Ecology, Research 
      Center for Eco-Environmental Sciences, Chinese Academy of Sciences, Beijing 
      100085, China; University of Chinese Academy of Sciences, Beijing 101408, China.
FAU - Lu, Nan
AU  - Lu N
AD  - State Key Laboratory of Urban and Regional Ecology, Research Center for 
      Eco-Environmental Sciences, Chinese Academy of Sciences, Beijing 100085, China; 
      University of Chinese Academy of Sciences, Beijing 101408, China. Electronic 
      address: nanlv@rcees.ac.cn.
FAU - Wang, Mengyu
AU  - Wang M
AD  - State Key Laboratory of Urban and Regional Ecology, Research Center for 
      Eco-Environmental Sciences, Chinese Academy of Sciences, Beijing 100085, China; 
      Library, Henan University of Science and Technology, Luoyang 471000, China.
FAU - Chen, Yongzhe
AU  - Chen Y
AD  - State Key Laboratory of Urban and Regional Ecology, Research Center for 
      Eco-Environmental Sciences, Chinese Academy of Sciences, Beijing 100085, China; 
      Department of Geography, The University of Hong Kong, Hongkong 999077, China.
FAU - Wu, Fuzhong
AU  - Wu F
AD  - Key Laboratory for Humid Subtropical Eco-geographical Process of Ministry of 
      Education, School of Geographical Sciences, Fujian Normal University, Fuzhou 
      350117, China.
FAU - Fu, Bojie
AU  - Fu B
AD  - State Key Laboratory of Urban and Regional Ecology, Research Center for 
      Eco-Environmental Sciences, Chinese Academy of Sciences, Beijing 100085, China; 
      University of Chinese Academy of Sciences, Beijing 101408, China.
LA  - eng
PT  - Journal Article
DEP - 20240304
PL  - Netherlands
TA  - Sci Total Environ
JT  - The Science of the total environment
JID - 0330500
RN  - 0 (Soil)
SB  - IM
MH  - Humans
MH  - *Ecosystem
MH  - China
MH  - *Climate
MH  - Tibet
MH  - Plants
MH  - Soil
MH  - Climate Change
OTO - NOTNLM
OT  - Climate
OT  - Leaf economics traits
OT  - Macroecology
OT  - Net primary productivity
OT  - Plant size traits
OT  - Spatial variation
COIS- Declaration of competing interest The authors declare that they have no known 
      competing financial interests or personal relationships that could have appeared 
      to influence the work reported in this paper.
EDAT- 2024/03/07 00:42
MHDA- 2024/03/27 06:44
CRDT- 2024/03/06 19:15
PHST- 2023/12/27 00:00 [received]
PHST- 2024/02/28 00:00 [revised]
PHST- 2024/02/29 00:00 [accepted]
PHST- 2024/03/27 06:44 [medline]
PHST- 2024/03/07 00:42 [pubmed]
PHST- 2024/03/06 19:15 [entrez]
AID - S0048-9697(24)01553-5 [pii]
AID - 10.1016/j.scitotenv.2024.171412 [doi]
PST - ppublish
SO  - Sci Total Environ. 2024 May 1;923:171412. doi: 10.1016/j.scitotenv.2024.171412. 
      Epub 2024 Mar 4.