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5 results for “Ecosystem Demography model”
Modified Ecosystem Demography (ED2) model with sagebrush (shrub) parameters
<p># Original Ecosystem Demography (ED2) model was developed by Moorcroft et al., 2001 and Medvigy et al., 2009, and team, which is available at github (https://github.com/EDmodel/ED2).</p> <p># This repository contains modified Ecosystem Demography (ED2) model for sagebrush (shrub) PFT. In order to do so we primarily updated ed_params.F90 with additional PFT, which is represented by number '18'. For the initial works, we selected allometrics equations for temperate PFTs in ED2 to develop coefficients (parameters) related to allometric relationships (such as dbh to height , dbh to leaf biomass etc). We used cube root of volume to represent diameter to calculate allometric equations for shrubs, since they do not have clear main trunk like trees. Another source code ed_max_dims.F90 was also changed to update PFT dimensions. </p> <p># This repository also includes namelist (ED2IN) file used to run sensitivity and optimization of sagebrush parameters. </p> <p>References</p> <p>Medvigy, D., Wofsy, S. C., Munger, J. W., Hollinger, D. Y., and Moorcroft, P. R.: Mechanistic scaling of ecosystemfunction and dynamics in space and time: Ecosystem Demography model version 2, J. Geophys. Res., 114, G01002, doi:10.1029/2008JG000812, 2009.</p> <p>Moorcroft, P. R., Hurtt, G. C., Pacala, S. W.: A method for scaling vegetation dynamics: the Ecosystem Demography model (ED), Ecol. Monogr., 71, 557–586, <a href="https://doi.org/10.1890/0012-9615(2001)071%5b0557:AMFSVD%5d2.0.CO;2">https://doi.org/10.1890/0012-9615(2001)071[0557:AMFSVD]2.0.CO;2</a>, 2001.</p>
Data used for analysis in "Calibrating tropical forest coexistence in ecosystem demography models using multi-objective optimization through population-based parallel surrogate search"
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LBA-ECO LC-08 Ecosystem Demography Model Estimated C, NPP, and Biomass For Amazonia
This data set provides Ecosystem Demography Model (ED) estimates of potential above-ground net primary production (NPP) (kg C/m2/y), potential average live biomass (kg C/m2), and potential average soil carbon (kg C/m2) for the Brazilian Amazon at 1 degree resolution. Ecosystem Demography Model predicts both ecosystem structure (e.g. above and below-ground biomass, vegetation height and basal area, and soil carbon stocks) and corresponding ecosystem fluxes (e.g. NPP, NEP, and evapotranspiration) from climate, soil, and land-use inputs. Estimates for the Brazilian Amazon include the effects of natural disturbances such as windthrow and fire, but do not include the effects of human land use. To produce these estimates, ED was forced with ISLSCP I data for 1987 and 1988 and averaged into a single average year (Moorcroft et al., 2001).The data are provided for the three estimates in both ASCII text and in NetCDF formatted files.
Ecosystem Demography Model: Scaling Vegetation Dynamics Across South America
This model product contains the source code for the Ecosystem Demography Model (ED version 1.0) as well as model input and output data for a portion of South America including the Brazilian Amazon. The model output data are estimates of potential average live biomass (kg C/m2), potential average soil carbon (kg C/m2), and potential above-ground net primary production (NPP) (kg C/m2/yr) at 1.0 degree resolution. To produce these estimates, ED was forced with ISLSCP I data for 1987 and 1988, averaged into a single year (Moorcroft et al., 2001). Data for the three estimates are provided in both ASCII text and in NetCDF formatted files. ED is an individual-based terrestrial ecosystem model that predicts both ecosystem structure (e.g. above and below-ground biomass, vegetation height and basal area, and soil carbon stocks) and corresponding ecosystem fluxes (e.g. NPP, NEP and evapotranspiration) from climate, soil, and land-use inputs. The model consists of integrated sub-models governing processes such as leaf-level physiology, plant allocation, allometry, phenology, dispersal, the effects of fire disturbances, and below-ground sub-models for soil carbon dynamics and hydrology. Using a new method for scaling-up it is possible to predict ED's large-scale behavior without simulating the fate of every plant individually. ED is used to examine how climate and edaphic factors, natural disturbances, and human land-use practices affect ecosystem structure and fluxes. This data set contains six zip files which each uncompress into six unique subdirectories. Each subdirectory is described in detail in the Model Product Description section of this document. Installation and execution instructions are provided in the Model Documentation and User's Guide section of this document.
Ecosystem Demography Model: U.S. Ecosystem Carbon Stocks and Fluxes, 1700-1990
This model product contains the source code for the Ecosystem Demography Model (ED version 1.0) as well as model input and output data files for the conterminous United States. The ED is a mechanistic ecosystem model built around established sub-models of leaf level physiology, organic matter decomposition, hydrology, and functional biodiversity. It was used herein to estimate ecosystem carbon stocks and fluxes in the conterminous U.S. at 1.0 degree resolution from 1700 to 1990. Output data of carbon stocks and fluxes are stored in NetCDF format. To produce the U.S. scenario, ED was run from an estimated state of ecosystems in the year 1700 to an estimated state of ecosystems in the year 1990 for each 1 degree by 1 degree grid cell through time using ISLSCP Initiative I climate and soil data and a gridded land-use history reconstruction as inputs (Hurtt et al., 2002). The land-use history was based on several sources including: spatial distribution of potential vegetation in 1700, spatial patterns of cropland from 1700 to 1990, regional estimates of land use and logging from 1700 to 1990, and U.S. Forest Inventory and Analysis (FIA) data on the current age distribution of forest stands. The Miami Land Use History Model (Miami-LU), a far simpler empirically-based ecosystem model, was used to track the history of disturbance, land use, fire, and ecosystem recovery. The effects of fire suppression were also included. Atmospheric CO2 concentrations and climatic conditions were held constant throughout the runs to focus on the consequences of land-use and fire-management changes on carbon stocks and fluxes.
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