RAIN-FOREST
; DISTRIBUTION PATTERNS
; TREE MORTALITY
; CARBON
; MODEL
; VULNERABILITY
; XYLEM
; RESILIENCE
; SURVIVAL
; EMBOLISM
WOS学科分类:
Plant Sciences
WOS研究方向:
Plant Sciences
英文摘要:
Reducing uncertainties in the response of tropical forests to global change requires understanding how intra- and interannual climatic variability selects for different species, community functional composition and ecosystem functioning, so that the response to climatic events of differing frequency and severity can be predicted. Here we present an extensive dataset of hydraulic traits of dominant species in two tropical Amazon forests with contrasting precipitation regimes - low seasonality forest (LSF) and high seasonality forest (HSF) - and relate them to community and ecosystem response to the El Nino-Southern Oscillation (ENSO) of 2015. Hydraulic traits indicated higher drought tolerance in the HSF than in the LSF. Despite more intense drought and lower plant water potentials in HSF during the 2015-ENSO, greater xylem embolism resistance maintained similar hydraulic safety margin as in LSF. This likely explains how ecosystem-scale whole-forest canopy conductance at HSF maintained a similar response to atmospheric drought as at LSF, despite their water transport systems operating at different water potentials. Our results indicate that contrasting precipitation regimes (at seasonal and interannual time scales) select for assemblies of hydraulic traits and taxa at the community level, which may have a significant role in modulating forest drought response at ecosystem scales.
1.Univ Campinas UNICAMP, Dept Plant Biol, Inst Biol, CP 6109, BR-13083970 Campinas, SP, Brazil 2.Univ Exeter, Coll Life & Environm Sci, Exeter EX4 4SB, Devon, England 3.Univ Arizona, Dept Ecol & Evolutionary Biol, Tucson, AZ 85721 USA 4.Univ Technol Sydney, Sch Life Sci, Sydney, NSW 2006, Australia 5.Univ Fed Para, Inst Ciencias Biol, BR-66075110 Belem, PA, Brazil 6.Natl Inst Space Res, Ctr Earth Syst Sci, Ave Astronautas 1-758, BR-12227010 Sao Jose Dos Campos, SP, Brazil 7.Univ Texas Rio Grande Valley, Dept Biol, Edinburg, TX 78539 USA 8.Univ Texas Rio Grande Valley, Sch Earth Environm & Marine Sci, Edinburg, TX 78539 USA 9.Fed Univ Western Para UFOPA, Soc Nat & Dev Dept, BR-68035110 Santarem, PA, Brazil 10.Univ Calif Los Angeles, Ctr Trop Res, Inst Environm & Sustainabil, Los Angeles, CA 90095 USA 11.INPA, Lab Manejo Florestal, BR-69067375 Manaus, AM, Brazil 12.Columbia Univ, Dept Earth & Environm Engn, New York, NY 10027 USA 13.Brown Univ, Dept Earth & Planetary Sci, 324 Brook St, Providence, RI 02912 USA 14.Natl Inst Space Res, Remote Sensing Div, Ave Astronautas, BR-12227010 Sao Jose Dos Campos, SP, Brazil 15.Univ Michigan, Dept Civil & Environm Engn, Ann Arbor, MI 48019 USA 16.Oriental Amazon Embrapa, Lab Sustainable Syst Analyses, BR-66083156 Belem, Para, Brazil 17.INPA, LBA Program Micrometeorol Grp, BR-69067375 Manaus, Amazonas, Brazil
Recommended Citation:
Barros, Fernanda de V.,Bittencourt, Paulo R. L.,Brum, Mauro,et al. Hydraulic traits explain differential responses of Amazonian forests to the 2015 El Nino-induced drought[J]. NEW PHYTOLOGIST,2019-01-01,223(3):1253-1266