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View Code? Open in Web Editor NEW:package: R package for the State and Transition Model with forest management
Home Page: https://willvieira.github.io/STManaged/
License: MIT License
:package: R package for the State and Transition Model with forest management
Home Page: https://willvieira.github.io/STManaged/
License: MIT License
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:
0.1
, 0.3
, 0.5
, 0.8
, 1
, 2.5
, 5
km²notManaged
, plantation
, harvest
, thinning
, enrichment
0.15
4.5
linear growth
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:
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
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
.
The problem is related with object parCell
that is not found.
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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