High-resolution results about spatialwarnings HOT 4 CLOSED

Hi all,

I've fit the patch size distributions for the grazing model (it should
hopefully have found its way into your drafts folders as a folder called
'PSDs'). We have an issue here - right now the qualitative trends in patch
size distribution as the system approaches transition, are the same for all
values of the spatial stressor - i.e, even for the g=0 case (that is when
flo's model converged to sonia's model), a power law patch size
distribution is observed near the transition (see GrazingPSD_g0m0.208.jpg).
This could be because of two reasons -

1. The values chosen for the other paramater values (b, f) in the
   simulation are such that the system undergoes a large catastrophic
   transition irrespective of 'g'.
2. The resolution is still not sufficient to capture the shifting trends
   near the transitions. This would mean we are missing the entire regime over
   which increasing truncation in power law occurs.

I don't think the problem is point 1 because I see that the simulation has
been run for an 'f' value of 0.9 and b value of 0.5, for which I don't
think Sonia's model shows a discontinuous transition, but I could be wrong
about this.

Regards,
Sumithra

On 13 December 2015 at 01:23, Alex Genin [email protected] wrote:

The model results are starting to arrive !

• Grazing model
  http://alex.lecairn.org/files/result_grazing_processed.rda (file of
  ~220 MB, ~3GB in memory)
• Musselbed model
• Forestgap model

As usual these files contain two variables: upper_branch and lower_branch.
Both are lists of three components :

1. DatBif
2. snaps
3. time_series (new!) containing the full time series of global and
   local cover

access them with upper_branch[[1]](or 2 or 3)

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#34.

from spatialwarnings.

Hi Sumithra,

You are right. Even with g=0 in Flo's model, we get a discontinuous
transition with a high jump. This could entirely be because of the lower
resolution of the simulations.
[image: Inline image 1]

On Mon, Dec 14, 2015 at 6:16 PM, ssumithra [email protected] wrote:

Hi all,

I've fit the patch size distributions for the grazing model (it should
hopefully have found its way into your drafts folders as a folder called
'PSDs'). We have an issue here - right now the qualitative trends in patch
size distribution as the system approaches transition, are the same for all
values of the spatial stressor - i.e, even for the g=0 case (that is when
flo's model converged to sonia's model), a power law patch size
distribution is observed near the transition (see GrazingPSD_g0m0.208.jpg).
This could be because of two reasons -

1. The values chosen for the other paramater values (b, f) in the
   simulation are such that the system undergoes a large catastrophic
   transition irrespective of 'g'.
2. The resolution is still not sufficient to capture the shifting trends
   near the transitions. This would mean we are missing the entire regime over
   which increasing truncation in power law occurs.

I don't think the problem is point 1 because I see that the simulation has
been run for an 'f' value of 0.9 and b value of 0.5, for which I don't
think Sonia's model shows a discontinuous transition, but I could be wrong
about this.

Regards,
Sumithra

On 13 December 2015 at 01:23, Alex Genin [email protected] wrote:

The model results are starting to arrive !

• Grazing model
  http://alex.lecairn.org/files/result_grazing_processed.rda (file of
  ~220 MB, ~3GB in memory)
• Musselbed model
• Forestgap model

As usual these files contain two variables: upper_branch and
lower_branch.
Both are lists of three components :

1. DatBif
2. snaps
3. time_series (new!) containing the full time series of global and
   local cover

access them with upper_branch[[1]](or 2 or 3)

—
Reply to this email directly or view it on GitHub
#34.

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#34 (comment)
.

from spatialwarnings.

Just added the results for forestgap model.

from spatialwarnings.

Added musselbed for completeness.

from spatialwarnings.