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Title: Successional change in species composition alters climate sensitivity of grassland productivity

Journal Article · · Global Change Biology
DOI:https://doi.org/10.1111/gcb.14333· OSTI ID:1563961
ORCiD logo [1];  [2]; ORCiD logo [3]; ORCiD logo [3];  [4]; ORCiD logo [5]; ORCiD logo [4];  [6];  [3];  [3];  [7];  [8];  [4]
  1. Nanjing Forestry Univ., Nanjing (China). Co-Innovation Center for Sustainable Forestry in Southern China, College of Biology and the Environment; Univ. of Oklahoma, Norman, OK (United States). Dept. of Microbiology & Plant Biology
  2. Univ. of California, Berkeley, CA (United States). Dept. of Environmental Science, Policy, and Management
  3. Univ. of Oklahoma, Norman, OK (United States). Dept. of Microbiology & Plant Biology
  4. Northern Arizona Univ., Flagstaff, AZ (United States). Center for Ecosystem Science and Society
  5. Nanjing Forestry Univ., Nanjing (China). Key Lab. of Soil and Water Conservation and Ecological Restoration in Jiangsu Province, Collaborative Innovation Center of Sustainable Forestry in Southern China of Jiangsu Province
  6. Nanjing Forestry Univ., Nanjing (China). Co-Innovation Center for Sustainable Forestry in Southern China, College of Biology and the Environment
  7. Univ. of Oklahoma, Norman, OK (United States). Dept. of Microbiology & Plant Biology, and Inst. for Environmental Genomics
  8. Univ. of Oklahoma, Norman, OK (United States). Dept. of Microbiology & Plant Biology, and Inst. for Environmental Genomics; Tsinghua Univ., Beijing (China). State Key Joint Lab. of Environment Simulation and Pollution Control, School of Environment; ; Lawrence Berkeley National Lab. (LBNL), Berkeley, CA (United States). Earth and Environmental Sciences

Abstract Succession theory predicts altered sensitivity of ecosystem functions to disturbance (i.e., climate change) due to the temporal shift in plant community composition. However, empirical evidence in global change experiments is lacking to support this prediction. Here, we present findings from an 8‐year long‐term global change experiment with warming and altered precipitation manipulation (double and halved amount). First, we observed a temporal shift in species composition over 8 years, resulting in a transition from an annual C 3 ‐dominant plant community to a perennial C 4 ‐dominant plant community. This successional transition was independent of any experimental treatments. During the successional transition, the response of aboveground net primary productivity ( ANPP ) to precipitation addition magnified from neutral to +45.3%, while the response to halved precipitation attenuated substantially from −17.6% to neutral. However, warming did not affect ANPP in either state. The findings further reveal that the time‐dependent climate sensitivity may be regulated by successional change in species composition, highlighting the importance of vegetation dynamics in regulating the response of ecosystem productivity to precipitation change.

Research Organization:
Lawrence Berkeley National Laboratory (LBNL), Berkeley, CA (United States)
Sponsoring Organization:
USDOE Office of Science (SC), Biological and Environmental Research (BER) (SC-23), Biological Systems Science Division (SC-23.2 ); USDOE
Grant/Contract Number:
AC02-05CH11231; DE‐SC0004601; DE‐SC0010715
OSTI ID:
1563961
Alternate ID(s):
OSTI ID: 1456275
Journal Information:
Global Change Biology, Vol. 24, Issue 10; ISSN 1354-1013
Publisher:
WileyCopyright Statement
Country of Publication:
United States
Language:
English
Citation Metrics:
Cited by: 18 works
Citation information provided by
Web of Science

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