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Sensitivity to cell size

Here I test how different cell sizes can impact the migration rate of forest states. And how the variation in cell size can interact with forest management practices.

Variables:

  • Cell size: 0.1, 0.3, 0.5, 0.8, 1, 2.5, 5 km²
  • Forest management: notManaged, plantation, harvest, thinning, enrichment
  • Management intensity: 0.15
  • RCP: 4.5
  • Climate increase: linear growth
  • Repetition: 30

Interacting cell size and forest management, we have a total of 7 x 5 = 35 simulations. For each simulation, we will have 30 repetition with a different initial_landscape.

Here is one of the 30 initial landscapes for each cell size:

Rplot

0 3km

0 5km

0 8km

1km

2 5km

5km

Sensitivity to management intensity

A first exploration on the effect of management intensity (managInt argument of run_model() function). This argument defines the management practice and the intensity of the practice in percentage per year. I.e. managInt = c(0.1, 0, 0, 0) means that we will apply 10% of plantation of temperate species on regeneration stands present at the boreal region every time step.

Variables:

management practices: notManaged, plantation, harvest, thinning, enrichment
management intensity: 0.05, 0.1, 0.2, 0.4, 0.8
RCP = 4.5
cell size = 0.5
replications = 15

Sensitivity to range limit occupancy

A quick test to define the best value of occup of the range_limit() function. This argument determines the threshold to define the range limit of a forest state. It determines the minimum occupancy a row of the landscape must be occupied by a specific forest state to be considered part of the state distribution.

Variables:
Occupancy: 0.7, 0.75, 0.8, 0.85, 0.9, 0.95 %
Cell size: 0.5, 0.8, 1, 2.5 Km

We will have 6 x 4 = 24 simulations x 15 replications with a different initial_landscape.

Sensitivity to RCP scenario

A sensitivity analysis to explore the effect of RCP scenarios. We are using four climate change scenarios according to IPCC and we will interact these RCP scenarios with four cell sizes of the landscape.

Variables:
cell size: 0.3, 0.5, 0.8, 1
RCP: 2.6, 4.5, 6, 8.5
management: 0
replications = 15

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