1. General Model Information
Name: TRESTLE - Tree Response, Establishment and Succession in the Transient Landscape of Europe.
Main medium: terrestrial
Main subject: forestry, hydrology
Organization level: Landscape
Type of model: ordinary differential equations
Main application: research
Keywords: tree response, climate, forestry, land use, water, carbon, energy, nitrogen, gap model
Dr. S.P. Evans.
Cranfield University, Soil Survey and Land Research Centre, Silsoe Campus, Silsoe, Bedford MK45 4DT UNITED KINGDOM.
TRESTLE, Tree Response, Establishment and Succession in the Transient Landscape of Europe, is a modularised, process-based model of tree growth integrating energy-water-carbon-nitrogen cycles with a description of the key physiological processes operating within the plant, embedded into a community dynamics forest model of the gap-type. Six of the nine forecasted modules comprising the TRESTLE model have so far been developed: 1. SWELTER*, a Synthetic Weather Estimator for Land use and Terrestrial Ecosystem Research; 2. precipitation interception by the tree canopy; 3. snow formation and snow snowmelt model; 4. SWBCM, a Soil Water Balance Capacity Model; 5. plant physiological processes, 6. the TRESTLE data-base, collating species-specific variables required as model inputs. MODULE 1: SWELTER*, (Synthetic Weather Estimator for Land use and Terrestrial Ecosystems Research) is a stochastic-deterministic weather model which generates synthetic time series of a number of physically interpretable phenomena (rainfall, temperature etc.) at different timescales (hourly, daily, etc.). These time series are robustly estimated from limited climatic statistics derived from instrumental data; in other words, synthetic series will have the same `intrinsic' properties as the instrumental meteorological data from which they are derived. MODULE 2: Model on precipitation interception processes by the tree canopy. This is a semi-dynamic model of canopy interception of precipitation is outlined. The model uses species-specific constants coupled to inputs developed by SWELTER* in combination with other TRESTLE model components to predict: - the quantity of precipitation intercepted by the canopy during rainfall events of different duration and intensity; - the quantity of precipitation reaching the soil surface through throughfall and stem throughflow. MODULE 3. The Snow Formation and Snowmelt Model is an energy flow model used to calculate snow formation and snowmelt at the daily time-step. The model combines a suite of pre-defined constants with outputs from SWELTER* to calculate: - evaporation from the snow surface; - snowmelt water developing at the base of the snow pack. MODULE 4. The Soil Water Balance Capacity Model (SWBCM) estimates water fluxes under forest conditions. It is a deterministic model operating at the daily time-step, and calculates: - soil water content - drainage rate - lateral flow for unsaturated and saturated layers - surface runoff - water loss through soil evaporation and plant transpiration for soils of known texture and under vegetational cover of known composition and structure, for both free-draining profiles and profiles overlying impermeable layers. MODULE 5. Key plant physiological processes are numerically described, which determine the production of new leaf area and woody tissue, and which influence the competition status of the individual species, thereby affecting the potential for survival. The following processes are calculated at the daily time step, as are their dependencies on fluctuations in different biophysical states: - photosynthesis - stomatal conductance - dark respiration - CO2 fertilisation effects MODULE 6. A database containing a set of values for parameters on native European tree species, required as default inputs to the TRESTLE model, in the absence of user-defined values.
Source of the AbstractCAMASE Register of Agro-ecosystems Models
II. Technical Information
Operating System(s): PC 486.
Costs: : To be confirmed.
III. Mathematical Information
Rate variables: Too many to list.
State variables: Too many to list.
Input check in model: Yes.
Basic spatial unit: m2.
Time interval of simulation: Hour or day.
V. Further information in the World-Wide-Web
VI. Additional remarks
Last review of this document by: T. Gabele: Tue Sep 23 1997
Status of the document:
last modified by
Joachim Benz Mon Jul 2 18:31:37 CEST 2007