期刊
EARTHS FUTURE
卷 9, 期 4, 页码 -出版社
AMER GEOPHYSICAL UNION
DOI: 10.1029/2020EF001942
关键词
CMIP6; future projections; Indian Ocean Dipole; land photosynthesis; precipitation
资金
- CMIP6
- ESGF
- National Key R&D Program of China [2016YFA0600204]
- National Natural Science Foundation of China [41807434]
- China Scholarship Council [201906195014, 201908320154]
- University of Zurich Research Priority Programme Global Change and Biodiversity (URPP GCB)
Research has shown that the Indian Ocean Dipole (IOD) has a significant impact on land photosynthesis in Indian Ocean rim countries, mainly driven by precipitation variations, in contrast to the impact patterns induced by the El Nino-Southern Oscillation (ENSO). Future predictions suggest that with climate warming, IOD will occur more frequently and have larger impacts on the carbon cycle in certain regions.
Indian Ocean Dipole (IOD), a major climate variability in the tropics which drives the abiotic stress associated with heavy rainfalls and severe droughts, is not much understood in terms of its role in the carbon cycle, while El Nino-Southern Oscillation (ENSO)-related terrestrial carbon cycle variation has been intensively studied. Here, we investigate IOD's impact on land photosynthesis over the Indian ocean rim countries during austral spring using satellite-based gross primary productivity (GPP) and Earth System Model simulations produced in the Coupled Model Intercomparison Project Phase 6 (CMIP6). IOD independently affects GPP with significant positive partial correlation coefficients (pcor) over most of Africa and India, and negative pcor over southern China, Indo-China peninsula, maritime continent, and Australia, mostly driven by precipitation variations; this obviously differs from the widespread significant negative pcor pattern induced by ENSO. The recent extremely positive IOD in 2019 caused the canonical IOD-affected GPP patterns, however, with its extreme impacts. Furthermore, though large inter-model spreads exist, the CMIP6 multimodel median can basically capture the main characteristics of IOD-affected precipitation and GPP patterns. Importantly, IOD is predicted to occur more frequently in future warming scenarios. Model future projections suggest that it will exert larger impacts on GPP variations over central and eastern Africa, Sumatra, western and southeastern Australia with stronger pcor and enhanced explained variance, but less impacts over southern Africa, east India, Indo-China peninsula, and northeastern Australia. Therefore, besides ENSO, understanding the IOD impacts can provide us new insights into regional and global carbon cycle interannual variability.
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