PESERA-DESMICE: Land management evaluation model

Table of Contents

1. Authors
2. Summary
3. Acronyms
4. Introduction
5. Coarse-scale model description
   1. The PESERA model: summary
   2. Alternative approaches to assessing soil erosion
   3. Process representation in PESERA
   4. Extensions of PESERA
   5. Adapting PESERA
   6. Assessment at catchment scales
6. Cost-effectiveness modelling
   1. Step 1
   2. Step 2
   3. Step 3
   4. Step 4
   5. Step 5
   6. Step 6
   7. Step 7
   8. Step 8
   9. Step 9
   10. Step 10
   11. Step 11
   12. Step 12
7. Agent-Based modelling in Spain
   1. Phase 1
   2. Phase 2
   3. Phase 3
   4. Phase 4
   5. Phase 5
   6. Phase 6
8. Input-Output modelling in Spain
   1. Model construction
   2. Scenario analyses
9. References

Adapting PESERA

Adapting PESERA for assessing SLM strategies

To meet the needs of the integrated model as proposed in this report, the PESERA model needs to be run first to equilibrium, in order to establish average values of runoff, erosion and productivity under current conditions and to establish initial conditions for runs with explicit time series drawn as realisations of future climatic conditions. Using the same time series for climate in each site, the model can then be run again, applying alternative proposed technologies either as a step-change or through gradual adoption over time. These runs can then be used to assess the expected responses of land managers to the changing performance and its economic consequences. In order to do this, PESERA will be developed to ensure that model output responds appropriately to the remedial technologies that are being proposed within the project through WB3. PESERA will itself deal exclusively with the technologies involved in SLM strategies; strategies, however, also include approaches. The impacts of SLM approaches will be incorporated in the cost-effectiveness modelling and agent-based modelling (chapters 3 and 4).

There are a number of parameters and methods that can be adapted to represent the impact of the various SLM technologies proposed. Among the more relevant SLM technologies are those described in Table 2.2.

Table 2.2: Parameters and methods from PESERA that can be adapted to represent the impact of different SLM technologies proposed in DESIRE