103560 85 110135160185 size-class (cm) trees/ha 050100150200 0.001 0.010 0.100 1.000 10.000 km 83: y = 2.26 + -0.0236 * x (0.124) (0.000912) R ² = 0.9767.

Slides:



Advertisements
Similar presentations
Continuous Measurements of Fluxes of Biogenic VOCs in the Amazon Basin L.V. Gatti 1, C. R. Trostdorf 1, A. M. Cordova 1, A. Yamazaki 1, C.A.B.Aquino 2,
Advertisements

Progress in understanding carbon dynamics in primary forests CD08 team.
Variation in ages and growth rates of trees in Amazonian tropical forests: consequences for carbon and forest management Simone Vieira, Plínio Camargo,
Lauren Sanchez, Middlebury College
Forest structure and carbon dynamics in Amazonian tropical rain forests Simone Vieira, Plinio B. De Camargo, Diogo Selhorst, Lucy Hutyra, Roseane da Silva,
The C budget of Japan: Ecosystem Model (TsuBiMo) Y. YAMAGATA and G. ALEXANDROV Climate Change Research Project, National Institute for Environmental Studies,
Error estimates for biometric measurements of NEP Mike Ryan and Rudy King USDA Forest Service Motivation: Understand how age, fertility, species change.
Daniel Metcalfe Oxford University Centre for the Environment Comprehensive monitoring of carbon allocation and cycling across.
A MONASH UNIVERSITY PERSPECTIVE Musa Kilinc and Danielle Martin School of Geography and Environmental Science.
Relationships among photosynthesis, foliar nitrogen and stomatal conductance in tropical rain forest vegetation Tomas Domingues; Joe Berry; Luiz Martinelli;
Magnitude and Spatial Distribution of Uncertainty in Ecosystem Production and Biomass of Amazonia Caused by Vegetation Characteristics Christopher Potter.
Scott Saleska Paul Moorcroft David Fitzjarrald (SUNY-Albany) Geoff Parker (SERC) Plinio Camargo (CENA-USP) Steven Wofsy Natural disturbance regimes and.
A data assimilation approach to quantify uncertainty for estimates of biomass stocks and changes in Amazon forests Paul Duffy Michael Keller Doug Morton.
Estimating the contribution of agricultural land use to terrestrial carbon fluxes in the continental US Keith Paustian 1,2, Steven Ogle 2, Scott Denning.
Carbon flux at the scale up field of GLBRC. The Eddy Covariance cluster towers Terenzio Zenone 1 Jiquan Chen 1 Burkhard Wilske 1 and Mike Deal 1 Kevin.
Intact rainforest and Land-use Change in Amazônia: Scott R. Saleska Harvard University: S.C. Wofsy, L. Hutyra, A.H. Rice, B.C. Daube, D.M. Matross, E.H.
Estimated biomass and carbon committed to decomposition in a north Georgia 2011 tornado swath Chris J. Peterson 1, Jeffery B. Cannon 2, and Luke J. Snyder.
CALIBRATION 3-PG – Pinus pinaster Elemer Briceño 15/07/2008.
Structure and Demography of Tree Communities in Tropical Secondary Forest Recovering From Logging Keala Cummings and Dr. Diane Thomson 2007 Keala Cummings.
Managing for Forest Carbon Storage. USDA Forest Service GTR NE-343.
Workshop Silas Little Experimental Forest, NJ September, 13-17, 2010 André Monteiro – Forest Engineering and Adjunct Researcher – Imazon (Amazon Institute.
Managing for Forest Carbon Storage. Inter-governmental Panel on Climate Change.
Overview of Biomass Mapping The Woods Hole Research Center Alessandro Baccini, Wayne Walker and Ned Horning November 8 – 12, Samarinda, Indonesia.
An introduction to the monitoring of forestry carbon sequestration projects Developing Forestry and Bioenergy Projects within CDM Ecuador March, 2004 Igino.
U.S. Department of the Interior U.S. Geological Survey December 2007 Fort Benning Forest Status and Trends Shuqing Zhao 1, Shuguang Liu 2, Larry Tieszen.
The Amazon Basin in South America represents the largest extent of tropical forest in the world, with high species diversity and an estimate forest stock.
Plant physiological responses to precipitation in the Amazon forest, an isotopic approach Universidade de São Paulo: Jean Pierre Ometto; Luiz Martinelli;
Paul R. Moorcroft David Medvigy, Stephen Wofsy, J. William Munger, M. Dietze Harvard University Developing a predictive science of the biosphere.
Prepare for leaf senescence Peak litterfall Flush of leaves Max aerosol load μmol m -2 s -1 Climatic variability, carbon exchange and vegetation vulnerability.
Guidance on Measurement Elaboration and Examples.
Wood and soil surface CO 2 flux from the Tapajós National Forest Evilene C. Lopes 1, Michael Keller 1,2, Patrick M. Crill 1,3, Ruth K. Varner 4, William.
Forest Survey Can you identify this tree?. Red Maple.
Normalized Difference Fraction Index (NDFI): a new spectral index for enhanced detection of forest canopy damage caused by selective logging and forest.
A single basin-wide estimate for basic density of wood (0.69) has been employed to map above-ground biomass and carbon stocks across Amazonia (Fearnside.
Introduction: Globally, atmospheric concentrations of CO 2 are rising, and are expected to increase forest productivity and carbon storage. However, forest.
A Grand Plan for FIA’s role in a FS National Carbon Accounting System Linda S. Heath USDA Forest Service Northern Research Station, FIA Forest Carbon Accounting.
Transpiration and water use of an old growth Mountain ash forest Stephen Wood, Jason Beringer, Lindsay Hutley, David McGuire, Albert Van Dijk, Musa Kilinc.
Primary Production in Terrestrial Systems Fundamentals of Ecosystem Ecology Class Cary Institute January 2013 Gary Lovett.
DO AMAZONIAN TREES LOOSE WATER AT NIGHT? Rafael S. Oliveira 1, Todd E. Dawson 1, Stephen O.O. Burgess 2, Scott S. Saleska 3, Steven C. Wofsy 3, Daniel.
Investigating the Carbon Cycle in Terrestrial Ecosystems (ICCTE) Scott Ollinger * -PI, Jana Albrecktova †, Bobby Braswell *, Rita Freuder *, Mary Martin.
Biomass Dynamics of Amazonian Forest Fragments William F. Laurance & Henrique Nascimento Smithsonian Tropical Research Institute, Panama Biological Dynamics.
The age of C respired from tropical forest Susan Trumbore, Jim Randerson (UC Irvine) Jeff Chambers (Tulane) Simone Vieira, Plínio Camargo, Everaldo Telles,
Key information from FDOS Global distribution of plant communities as described by quantitative traits [and their association with phylogenetic composition??]
Carbon and water cycling along the western Sierra gradient Anne Kelly SSCZO annual meeting August 21, 2012.
Disturbance Effects on Carbon Dynamics in Amazon Forest: A Synthesis from Individual Trees to Landscapes Workshop 1 – Tulane University, New Orleans, Late.
BIOSPHERE-ATMOSPHERE INTERACTIONS IN DRY FOREST (MT) Site description Net ecosystem CO 2 exchange measurements Meteorological and ancillary measurements.
3. Results – cont. 3. Results 1. Introduction and objectives Pre-harvest Tree and Vine Biomass in a Forest in NW Mato Grosso, Brazil Ted R. Feldpausch.
A Comparative Analysis of Satellite-based Approaches for Aboveground Biomass Estimation in the Brazilian Amazon Dengsheng Lu: Indiana University.
Controls on tropical forest CO 2 and energy exchange Michael L Goulden, Scott D Miller, Humberto da Rocha, Chris Doughty, Helber Freitas, Adelaine Michela.
Flux Measurements and Systematic Terrestrial Measurements 1.discuss gaps and opportunities What are gaps? 2. brainstorm ideas about collaborative projects.
Biometric Measures of Carbon Cycling Before and After Selective Logging in Tapajós National Forest - Para - Brasil 1,2 Figueira, A.M.S.; 3 Sousa,C.A.;
Band Dendrometer, Inventory, and Litterfall Data A.D. McGuire, R.W. Ruess, J.S. Clein, J.Yarie Ecological Question What is the sensitivity of AGNPP to.
University of Natural Resources and Applied Life Sciences, Vienna Department of Applied Plant Sciences and Plant Biotechnology Universität für Bodenkultur.
High drought-tolerance of an Eastern Amazon forest: results from a large scale rainfall exclusion Gina Cardinot 1,2, Daniel Nepstad 2,3, Missy Holbrook.
Changes in carbon cycling by Brazilian rain forest: effects of soil moisture reduction on soil, leaves and canopy Patrick Meir, AC Lola da Costa, S Almeida.
Mechanistic model for light-controlled phenology - its implication on the seasonality of water and carbon fluxes in the Amazon rainforests Yeonjoo Kim.
Xiangming Xiao Institute for the Study of Earth, Oceans and Space University of New Hampshire, USA The third LBA Science Conference, July 27, 2004, Brasilia,
Figure 1. (A) Evapotranspiration (ET) in the equatorial Santarém forest: observed (mean ± SD across years of eddy fluxes, K67 site, blue shaded.
Measuring the Effect of Selective Logging on Forest-Atmosphere Exchange Scott Miller, Mike Goulden, Humberto da Rocha, Helber Freitas, Mary Menton, Adelaine.
Methane production. Current atmospheric concentrations: CH 4 : ~1.7ppm CO 2 : ~380ppm On molar basis, CH 4 is 22 X’s more powerful than CO 2 as a greenhouse.
Measuring the Effect of Selective Logging on Forest-Atmosphere Exchange Scott Miller, Mike Goulden, Humberto da Rocha, Helber Freitas, Mary Menton, Adelaine.
Scott Saleska (U. of Arizona) Lucy Hutyra, Elizabeth Hammond-Pyle, Dan Curran, Bill Munger, Greg Santoni, Steve Wofsy (Harvard University) Kadson Oliveira.
Carbon Dynamics in Coarse Woody Debris Pools at the Tapajos National Forest in Brazil Hudson Silva Patrick Crill Michael Keller.
Carbon Fixation and Storage in Mangrove Forests University of Virginia
ENHANCING CARBON RETENTION THROUGH IMPROVED FOREST MANAGEMENT
Assessing the climate impacts of land cover and land management using an eddy flux tower cluster in New England Earth Systems Research Center Institute.
Which forest type sequesters higher carbon in biomass – Pinus roxburghii or Quercus glauca Aditya Acharya School of forest sciences, UEF
Assessing woody carbon stocks in Miombo woodlands of Mozambique (see map for location). We used multiscale sampling of vegetation cover (leaf area index)
LBA-MIP: Motivation and Overview
Investigating land-climate interactions across land cover types
Presentation transcript:

size-class (cm) trees/ha km 83: y = * x (0.124) ( ) R ² = RSE = 0.2 on 16 df km 67: y = * x (0.106) ( ) R ² = RSE = 0.16 on 12 df Overview Motivating questions: (1) What is the present status of Amazonia as a source or a sink for atmospheric carbon dioxide? (2) What are the ecological and climatic controls on the interannual carbon balance in the Amazon basin? (3) What is the effect of selective harvest on forest carbon cycling and atmospheric exchange? Approaches: (1) ground-based biometry (woody tree increment and litterfall), combined with (2) whole-system CO 2 fluxes (eddy covariance) at the local scale in an old-growth Amazonian rainforest (Tapajos National Forest, km 67, Santarem, PA, figure 1). Also: (3) measurement of continental-scale boundary-layer CO 2 gradients (from continental interior to margin). Preliminary Results (Biometry): Dendrometers were installed in December 1999 (figure 2) based on results of the initial tree survey in July 1999 (figure 3), which included about 260 species in 50 families. The initial survey indicates that the tree size structure is slightly biased towards large trees relative to the selective harvest site at km 83. The dendrometry sample was random-stratified to guarantee adequate representation of each taxonomic group and to capture the disproportionally high biomass contained in the largest trees. Three months of monitoring indicate that growth rates are relatively even across size classes, but are dominated by a few taxonomic families, and by the tallest trees (figure 4A). The projected mean annual DBH increment in live trees is 0.44 cm yr -1 (data not shown), or 4 Mg carbon ha -1 yr -1. However, during the study period tree damage/mortality reduced the stock of live tree carbon at an annual rate of 3.5 Mg carbon ha -1 (data not shown). The absolute frequency of tree damage/mortality is dominated by the smallest size class (figure 4B), but is distributed evenly across canopy status and taxa. Methods analysis on this preliminary data set is shown in figure 4C. Two standard allometries for tropical forests (one quadratic and one exponential) yield total annualized biomass increments differing by less than five percent. A comparison between two dendrometer designs suggests possible measurement artifacts in the first year after installation. Through continued monitoring, it is anticipated that more will be learned about the variability in the interannual and seasonal cycles of carbon sequestration in trees. Natal meters Biometry plots upwind of flux tower, with locations & sizes of all trees >35cm DBH Km 67 Rio Tapajós Km 83 Santarém Rio Amazonas Measuring carbon balances in the Amazon basin: I. Woody vegetation dynamics in an old-growth tropical rainforest S. R. Saleska 1†, L. Hutyra 1, E. Hammond-Pyle 1, E.G.T. Guimarães 2, S.C. Wofsy 1 1 Dept. of Earth & Planetary Sciences, Harvard University; 2 FFT † corresponding author: Figure 2. Dendrometry study. Spring-mounted dendrometer bands were installed on trees at breast height, allowing precise estimates of tree diameter growth rates. We banded 1000 trees (out of the ~2600 inventoried). Tree biomass increase is calculated from DBH increase using allometric relations (e.g. Brown et al. 1997). Buttressed trees (see right) were banded above the buttress using a ladder. Twenty percent of the banded trees have a second band installed (see above) for comparison between different dendrometer designs. Figure 1. Site location and biometry study design. The site is located ~70 km south of Santarém, Pará, Brazil, in the Tapajós National Forest (“km 67 site”), the location of the eddy-flux tower. Three transects (50 m x 1000 m) were laid out in the tower footprint, toward the predominant winds (east). A fourth transect runs perpendicular. Large trees (diameter at breast height, DBH > 35 cm) located within 25 m of either side of each transect line were identified, tagged, and measured. Smaller trees (between 10 and 35 cm DBH) were also identified, tagged, and measured in a narrower swath, 5 m of either side of each transect line. A total of ~950 large trees (indicated by circles above), and 1650 small trees (not shown) were identified. Figure 3. Site characteristics. Figure 4. Preliminary results of dendrometry (tree survey conducted July 1999; dendrometers installed December 1999; dendrometer measurements conducted February-May, 2000). A. 76-day DBH increments (cm) fraction of sample n=13n=2n=1 n=2 (ii). By taxonomic family: (iii). By canopy status: B. 10-month (7/99-5/00) damage/mortality rates (i). By size-class: C. Aboveground biomass changes during initial study period DBH (cm) tons (biomass)/ha Brown (1997) quadratic (total = 303 t/ha) Brown (1997) exponential (total = 317 t/ha) (i). Wood increment rates from dendrometry (76 days during Feb-May, 2000) (ii). Loss rates due to damage/mortality (300 days from July ‘99 - May, 2000) (i). By size-class: DBH increment(cm) Size class (cm) n=411n=153 n=82n=74n=50n=37n=22 n=37n=17n=15n=10 n=7 n=8n=1 Elacocarpaceae Sterculiaceae Hippocrateaceae Verbenaceae Simaroubaceae Celastraceae Caryocaraceae Monimiaceae Rubiaceae Connaraceae Tiliaceae Olacaceae Apocynaceae Myrtaceae Moraceae Boraginaceae Quiinaceae Leguminosae-Papi Lauraceae Burseraceae Lecythidaceae Melastomataceae Sapotaceae Annonaceae Humiriaceae Ebenaceae Flacourtiaceae Guttiferae Euphorbiaceae Bombacaceae Myristicaceae Nyctaginaceae Sapindaceae Malpighiaceae Combretaceae Flacourticeae Vochysiaceae Rosaceae Anacardiaceae Meliaceae Leguminosae-Caes Leguminosae-Mimo Cecropiaceae noniaceae Araliaceae Aquifoliaceae Chrysobalanaceae DBH increment (cm) EmergentCanopySub-CanopySuppressed DBH Increment(cm) n=238n=281n=172n=265 (iv). By dendrometer design: EmergentCanopySub-CanopySuppressed Fraction of Sample n=247n=295n=178n= DBH size class(cm) Trees/ ha DBH size class (cm) Biomass (t/ha) (i). Frequency of trees (N=2596) Bombacaceae Combretaceae Connaraceae Ebenaceae Euphorbiaceae Lecythidaceae Leguminosae-Caes Leguminosae-Mimo Leguminosae-Papi Rubiaceae Sapotaceae Simaroubaceae % Damage n=2n=1 n=2n=3n=2n=3n=1n=3n=1 (ii). By taxonomic family: (iii). By canopy status: Mean DBH Increment(cm) Days Chambers Harvard (ii). Distribution of biomass: (iv). Size class distribution, km 83 vs km 67: (iii). Allometric comparison (v). Dendrometry Measurement: