Productivity in Cloud Forests in the Andes Carbon cycle measurements and model results from JULES Toby Marthews http://marthews.tripod.com Leeds, 10th June 2010 at the Oxford University Centre for the Environment (OUCE) in association with the Andes Biodiversity and Ecosystem Research Group (ABERG) and the RAINFOR network Cloud Forests Cloud forests (=upper montane forest =ceja de la montaña) only represent 0.26% of the world’s land surface, but are a high conservation priority: If the Amazon warms by 2-4°C then will the cloud forest biome go extinct or migrate to higher elevations? Worldwide Cloud Forest distribution Most of my work concerns a transect of forest census plots in the Kosñipata Valley in SE Peru (Wayqecha - San Pedro - Tono). I am also using a ‘pseudo-transect’ Tambopata - Manaus - Caxiuanã to compare with the lowland Amazon. We are using the RAINFOR network coordinated by University of Leeds Kosñipata Ridge 200m 2000m 1250m 1000m 2250m 1750m 1500m 2500m 2750m 3450m 3250m 3000m Kosñipata Ridge: a natural ecosystem laboratory 26.4oC 15.3oC 21oC 22.1oC 16.7oC 19oC 14.8oC 13.3oC 11.9oC 8.5oC 9.2oC 10.5oC 1 ha plots 13°3’ 52.55’’ S, 71°39’ 23.11’’ W Fire PUNA Plot 1 (3391m) Plot 2 (3205m) Plot 3 (3033m) Plot 4 (2745m) Plot 5 (2540m) Plot 6 (2290m) Plot 7 (2038m) Plot 2 (3205m) Plot 8 (1855m) Plot 1 (3391m) Plot 3 (3033m) Plot 10 (194m) Plot 4 (2745m) Plot 5 (2540m) Plot 6 (2290m) PUNA Plot 7 (2038m) Plot 9 (210m) LOWLAND RAINFORESTS Plot 7 (1855m) CLOUD MONTANE RAINFORESTS CLOUD FORESTS LOW MONTANE FORESTS SUBMONTANE FORESTS N 0 1km 13°10’ 22.70’’ S, 71°31’ 19.02’’ W Kosñipata Valley, SE Peru Source: Dr. Roman-Cuesta (2006) Forest-grasslands tree line, 3600 m elevation Upper montane cloud forest, 3000 m elevation Upper montane cloud forest, 2750 m elevation Submontane forest, 1500 m elevation Presumably, half a mountainside & several tree snags are busy heading along the Amazon from San Pedro to the Atlantic ... The Carbon Cycle of a Forest Source: Dr. Cécile Girardin Above-ground biomass growth Canopy production 0.1 m m nylon mesh 0.5 m 0.5 m ~1m Root production Manaus lowland forest: 75 m asl GPP = 30.4 R Total = 29.3±4.7 NPPTotal = 10.1±1.4 R Aut = 19.8±4.6 NPPAg = 7.3±1.3 R Het = 9.6±1.2 NPPBg = 2.8±0.7 NPP VOC = 0.13±0.06 NPP leaves,flowers,fruit = 3.6±0.7 R leaf = 10.0±4.0 NPP branch turnover = 1.0±1.0 R stem = 4.2±1.0 DFine litterfall = 3.6±0.7 NPP stem = 2.58±0.06 Predicted R soil = 12.6±2.3 Measured R soil = 12.1±1.7 R CWD = 2.5±0.3 DCWD= 3.58±1.0 R roots = 5.6±2.0 NPP coarse roots = 0.8±0.2 R soil het. = 7.1±1.1 DRoot = 2.8±0.7 NPP fine roots = 2.1±0.7 ALL UNITS ARE t C / ha per year Fdoc = 0.19±0.07 Wayqecha cloud forest: 3025 m asl GPP estimated =16.2±2.5 GPP(canopy physiology) = 14 R Total = 15.7±2.0 NPPTotal = 5.2±0.7 R Aut = 9.8±1.7 NPPAg = 3.6±0.5 R Het = 5.9±1.0 NPPBg = 1.6±0.4 NPP leaves,flowers,fruit =1.9±0.1 R leaf = 6.0±1.2 NPP branch turnover = 0.5±0.5 R stem = 1.1±0.2 Predicted R soil = 9.2± ±1.9 Measured R soil = 11.6±0.1 DFine litterfall =1.9±0.1 NPP stem = 1.2±0.1 R CWD = 0.6±0.2 DCWD= 2.4±0.6 R roots = 3.9±1.6 NPP coarse roots = 0.4±0.1 R soil het.=5.3±1.1 ALL UNITS ARE t C / ha per year NPP fine roots = 1.2±0.4 DRoot = 1.6±0.4 JULES v2.1.1 simulations with can_rad_mod=4: Solid line = 24 hr mean Broken lines = daytime & nighttime means Dotted lines = 24 hr min & max Points = Field measurements NPP: ON THE Y-AXIS 30 t C / ha per year is approx. 7.9 µmol C/m2 per sec flux. MAN TON SP 15 TAM CAX 20 WAY Net Primary Productivity (NPP) in µmol CO2/m2s 25 10 5 Grey band is an estimate from Clark et al. (2001, Ecol Appl) 0 -5 15 20 25 Mean annual temperature in ºC Girardin et al. (in press GCB). Net primary productivity and its allocation along a tropical forest elevational transect in the Peruvian Andes. Marthews et al. (in prep). Carbon fluxes in six Amazonian and Andean forests: ecosystem productivity and carbon use efficiency. JULES v2.1.1 simulations with can_rad_mod=4: Solid line = 24 hr mean Broken lines = daytime & nighttime means Dotted lines = 24 hr min & max Points = Field measurements ON THE Y-AXIS 30 t C / ha per year is approx. 7.9 µmol C/m2 per sec flux. 20 MAN SP TON TAM CAX 30 WAY Gross Primary Productivity (GPP) in µmol CO2/m2s GPP: Grey band is an estimate from Clark et al. (2001, Ecol Appl) and Piao et al. (2010, Ecology). 10 0 15 20 25 Mean annual temperature in ºC Girardin et al. (in press GCB). Net primary productivity and its allocation along a tropical forest elevational transect in the Peruvian Andes. Marthews et al. (in prep). Carbon fluxes in six Amazonian and Andean forests: ecosystem productivity and carbon use efficiency. JULES v2.1.1 simulations with can_rad_mod=4: Solid line = 24 hr mean Broken lines = daytime & nighttime means Dotted lines = 24 hr min & max Points = Field measurements Carbon use efficiency (CUE) CUE = NPP/GPP (undefined at night0.8 when GPP=0): 0.6 0.4 MAN TAM CAX TON SP WAY 0.2 Grey band is an estimate from Piao et al. (2010, Ecology). 0.0 15 20 25 Mean annual temperature in ºC Girardin et al. (in press GCB). Net primary productivity and its allocation along a tropical forest elevational transect in the Peruvian Andes. Marthews et al. (in prep). Carbon fluxes in six Amazonian and Andean forests: ecosystem productivity and carbon use efficiency. The Future: Scaling up to Regional Simulations (last slide!) THANKS FOR LISTENING
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