Tropical forest monitoring networks
description
Transcript of Tropical forest monitoring networks
Tropical forest monitoring networks
Yadvinder MalhiUniversity of Oxford
Tropical forests are variable in soils, climate, faunal and floral composition, disturbance history and
biogeographical context
7Noel Kempff 2001,6,7,9Tambopata 2002,3,5,6,7,8,9,10
Bogi 2002,7,10
Iquitos 2001,5,6,8,9,10Manaus2002,5,6
Caxiuana2002,4,5,6,7,8,9,10
Braganca2002
Tapajos 2003Jatun Sacha 2002,7,10
RAINFOR Campaigns 2001-2010, permanent plots
Acre2003,9 Sinop 2002
San Carlos de Rio Negro2004,6
Jari 2003
Mocambo2003
El Dorado2004, 9
Andes Transect 2003,6,7,8,9,10
Rio Grande2004, 9
Agua Pudre2004,5,6
Alta Floresta 2002,8
Cusco Amazonico2003,6,8
Zafire2005,6,8
Mabura Hills2006, 10
Jenaro Herrera 2005,6,7,8
Dois Irmaos2003,6,9
Tiputini 2002,7,10
Sacta 2006,9BEEM 2006,10
Porongaba2003,6,9
Lorena2004,6
Nouragues2008
Nova Xavantina 2008,10Los Amigos 2008
Pasco 2008,10
Pto Nare 2010Carbonera
2009
Barinas 2009
Pibiri2006, 10
Iwokrama2010
Jurua1999,2009
Tanguro 2009,10
Araracuara 2010
Besotes2010
San Rafael 2010
San Sebastian 2010
Mabet 2010 El Tigre 2009
10
Measured biomass
carbon sink
Amazonia 0.45±0.12 Mg C ha-1 year-1
Phillips et al 2009Science
Africa0.63±0.40 Mg C ha-1 year-1
Lewis et al. 2009Nature
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Drought Sensitivity of the Amazon ForestPhillips et al. Science, 2009
Tree alpha diversity in the Amazon Basin: ATDN 2012
The Global Ecosystems Monitoring Network (GEM)
gem.tropicalforests.ox.ac.uk
Gross Primary Productivity
Standing Biomass
Photosynthesis
Carbon sequestration
Global vegetation modelsFlux towersOptical remote sensing
Forest dynamics modelsForest inventoriesBiomass remote sensing Malhi, 2012, J. Ecology
Gross Primary Productivity
Net Primary Productivity
Standing Biomass
Woody Productivity
Mortality rate
Photosynthesis
Residence time
Malhi, 2012, J. Ecology
GPP The Carbon Cycle of a Forest
R leaf
R stem
R CWD
Fdoc
DFine litterfall
DCWD
R roots
R soil
DRoot
R soil het
NPP coarse roots
NPP fine roots
NPP VOCNPP leaves,flowers,fruit
NPP wood (Branch + Stem)
GPP= 36.15±3.97
The carbon cycle of a forest at Tambopata. Peru
R leaf =8.86±2.78
R stem = 5.85±2.50
NPPTotal = 15.14±0.83
NPPAG = 9.96±0.41
NPPBG = 5.18±0.72
D fine litterfall
5.61±0.32
D CWD 3.59±0.26
R rhizosphere
5.07±0.86
R soil =12.98±0.82
D root
5.18±0.72
R soilhet = 7.14±0.49
NPP coarse roots = 0.51±0.05 NPP fine roots = 4.67±0.72
NPP ACW= 2.64±0.24
NPP litterfall = 5.61±0.32
NPP branch turnover = 0.95±0.10
NPP herbivory = 0.76±0.05
R cwd
R coarseroot
1.23±0.62
Malhi et al, Plant Ecology and Diversity, 2013
Example results
Rhizotron
Litterfall, and components
Climate
Ingrowth Cores
Dendrometers
Soil respiration
Stem respirationThe GEM Protocol
Soil respiration partitioning
Leaf respiration and photosynthesis
Conclusions
• Tropical forests are variable in soils, climate, faunal and floral composition, disturbance history and biogeographical context
• Networks of forest plots are much greater than the sum of the parts
• Standardization of measurement protocols are important for robust comparison
• But the most important point is to reach out and build the networks