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NEW DEVELOPMENTS IN YIELD-SAFE
Transcript of NEW DEVELOPMENTS IN YIELD-SAFE
Palma JHN, Graves AR, Crous-Duran J, Paulo JA, Garcia de Jalon S, Kay S, Burgess PJ
KEEPING A PARAMETER-SPARSE CONCEPT IN AGROFORESTRY MODELING WHILE INTEGRATING NEW PROCESSES AND DYNAMICS
University of Lisbon (PT), Cranfield University (UK), Agroscope (CH)
van der Werf et al. 2007, Ecological Engineering 29, 419-433
Yieldsafe consolidation types
developments, directly changing the existing equations to improve model performance
developments include implementation of new ecosystem dynamics that interact with the existing tree, crop, and soil state variables within the model
developments are those where existing state variables are used to estimate new indicators
influence the climate data used in the model, modifying a large number of state variables.
developments do not change or add any equations to the model, but rather eases the usage
Water uptake now dependent on Vapor Pressure Deficit (VPD)
Adv: crop calibration independent from region (e.g. north-south europe)
Dis: requires additional Tmin, Tmax, Wind speed, Relative humidity *
Perennial understory biomass cycle (pasture) - Maintenance respiration cost
Adv: Allows the reduction of biomass during the year which is of particular importance for modelling pastures. Good literature support for parameters.
Tree leaf fall:
Adv: Adds carbon in soil (RothC input). Considers also perennial
Dis: Needs specific leaf area parameter, but widely supported in literature
Fine root mortality:
Carbon incorporation in soil from:
Adv: Adds carbon in soil (RothC input)
Dis: Parameter for root-to-shoot ratio and % of fine roots
Given a Livestock Unit Metabolizable Energy Requirement (approx 103 MJ/day), CC can be estimated with:
Energy available from crop component
Energy from tree fruit component
Energy from tree pruning (to be implemented)
rough relationship with tree Leaf Area (g fruit / m2)
Dis: Needs metabolizable energy values from crop, tree leaves and fruit. But usually available in lit
Tree shadow influence on carrying capacity
Temperature and humidity index > 130
5-11% gain increase due to shadow.
McDaniel and Roark (1956) and McIlvain and Shoop (1971)
less stress days => more weight gain
Soil carbon dynamics
integration of RothC
monthly to daily timestep
Plant input material
crop residues (AG, BG)
Tree litter, root mortality
Estimates cork production
fully implements a new model
using YS state variables
Building a link similar to this in your browser:
or other apps
nyears=30 & startyear=1960 & startmonth=1 & startday=1 & lon=-7.913 & lat=38.571
- Clipick is now
(less than 3-5 seconds)
rovides more scenarios (AR5 are now included) -
collaboration with the European Grid Infrastructure (www.egi.eu)
Improving user experience
new light excel
link to farmsafe
Milestone 29 (6.4) report soon available, with full equations.
2 billion $US loss without trees
(Mike Jacobson, 2016 pers com III EURAF)
Assess extension of pasture availability through year...
Article in prep.