rheilmayr
commented
4 years ago Estimado Guillermo,
Thanks so much for your interest in our research. I'm facing several important deadlines in the coming ~2 weeks so don't think I'll be able to prepare the source files and clean up and properly annotate the carbon calculation script immediately. However, I'm happy to answer questions you might have.
Cristian told me that you may be concerned that we are using the average biomass values as reported here https://www.odepa.gob.cl/publicaciones/articulos/estimacion-del-carbono-capturado-en-las-plantaciones-de-pino-radiata-y-eucaliptos-relacionadas-con-el-dl-701-de-1974-3. That's not quite the approach we took. Instead, we are using the tables reported at the end of the full report (attached here). We start with the distribution of plantation areas under the PFR scenario (e.g. Cuadro A.1.6
- Cuadro A.1.10). We then combine this with the biomass values for each age / species / management type combination (e.g. Cuadros A.2.1-A.2.5). This allows us to create our own estimate of mean biomass volume by species, by macroregion, which are slightly higher than the means reported in Table 8 of the report Juan cited (e.g. we estimate pine in MR-3 yields an average, annualized volume of 127 m3/ha rather than 110.5 m3/ha). Finally, we convert these estimates of yields to carbon in aboveground biomass using the methods outlined in the supplementary information of our paper (reproduced below). Does this make sense? Please let me know if you have any additional questions.
Saludos cordiales Robert
Plantations Plantation timber volumes were calculated using data from ODEPA (2010). The report tabulates Chile’s 2005 distribution of plantations by species (i.e., Pinus radiata, Eucalyptus globulus and E. nitens), age, growing region (i.e., macroregions 1, 2 and 3), site quality (i.e., high, medium and low quality classes), management scheme (i.e., pulp production, multipurpose production, intensive management) and ownership type (i.e., large companies or other). In addition, the report presents the expected timber volume for each combination of these categories as generated by the EUCASIM and RADIATA forest growth simulators. Since our observations of land use change span multiple decades, and since the age distribution of plantations is constantly changing, we chose to use the “regulated forest estate” (Patrimonio Forestal Regulado) scenario. This scenario imposes even-aged distributions and constant 9 rotation ages within each species - growing region - site class - management scheme - ownership type combination. In effect, this assumption yields the average carbon density of a plantation over the full span of its rotation. However, this assumption temporarily over-estimates timber volume during periods of plantation expansion. As with native forests, timber volumes were converted to carbon density using Equation 7. Local studies determined the expansion factors for pine (1.567) and eucalyptus (1.77), biomass density for pine (0.3846) and eucalyptus (0.5432) and the carbon share of pine (0.453) and eucalyptus (0.4286) (Gayoso, Guerra, and Alarcón 2002; Gayoso 2002). Aggregate regional carbon densities for each time period were calculated by weighting the carbon densities for pine and eucalyptus by the share of pine as a percent of all plantations(INFOR 1986; 2007; 2008).
On Tue, Jun 23, 2020 at 6:52 PM Guillermo Federico Olmedo < notifications@github.com> wrote:
Hello @rheilmayr https://github.com/rheilmayr, is it possible to have access to carbonModel.py? I would like to understand how the data on co2_metrics.csv was generated.
Thank you!
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midraed
Hello @rheilmayr, is it possible to have access to carbonModel.py? I would like to understand how the data on co2_metrics.csv was generated.
Thank you!