OPERATOR(S) NAME: Victor H. Rivera-Monroy, Robert Twilley, Michael Kemp

DATE: April 30, 2001

 

Create as much space as needed within the form.

 

DATABASE INFORMATION

Geographic Zones Selected (leave blank if done by range):

 

 

 

Geographic Range Selected (leave blank if done by zones):

 

WORLD

 

Cell types selected from database (Terrestrial, Coastal, OceanicI, OceanicII, OceanicIII):

 

COASTAL

 

Variables and ranges selected from database (if filtered if not filtered, no entry is needed):

FROST_DAYS_TOTAL NUMBER <10

SEA TEMPERATURE _MINIMUM_MONTH: >15.5

SEA TEMPERATURE _INTER_ANNUAL_STDEV: <1

 

Variables added (if any):

 

PRECIP, ANN MEAN [CONTINUOUS]

 

What do you expect to get out of clustering these variables or what are you trying to achieve?

 

Better resolution of mangrove worldwide distribution generated in Exp. 1 and 2

 

(enter name of document if experiment is written up separately

 

LOICZVIEW INFORMATION

Save the Cluster summary if will contain much of the information needed!

(Instructions for summary and data saving are at the end of this document)

 

Cluster Run Number:_3_

Variables selected in cluster (include any weights if not set at 1): Frost days, Sea Temperature, Sea temperature, _Inter_annual_stdev mean annual temperature, precip, ann mean [continuous]

Number of Clusters: 3

Distance Method: [ X ]Average [ ]Maximum

 

COMMENTS OR DESCRIPTION ON CLUSTER OUTPUT:

 

We had problems combining these variables and generating an output map; although the variables used in this run are good descriptors to explain mangrove distribution even in combination they do not provide a reasonable result.

 

 

Additional Comments on problems or improvements needed:

 

We strongly recommend to include evapotranspiration (ET) and potential evapotranspiration (PET) for both Coastal and Ocean I cells in the metadata source. These variables integrate other variables (e.g air temperature, relative humidity, solar radiation, wind speed, etc.) that can help to explain distribution of vegetation (i.e.,wetlands, including mangrove forests) and assess arid conditions along the coastal zone. A good predictor of mangrove forest distribution could be the ratio of precipitation and PET but given the current structure of the data base it is difficult to perform these calculations efficiently since the variables needed to calculate ET and PET are not included in the metadata base.

 

Following are several websites where evapotranspiration data can be downloaded at the same resolution (30) included in LOICZ VIEW metadata base

 

Websites/Information

 

Data:

Evapotranspiration

Potential Evapotranspiration

Water Balance:

http://www-cger.nies.go.jp/grid-e/online1-e.html

 

http://www-cger.nies.go.jp/grid-e/grid4-e.html

 

http://www-cger.nies.go.jp/grid-e/gridtxt/tateishi.html

 

Concepts, formulas, etc.

 

http://www.smhi.se/sgn0106/if/hydrologi/evapotranspiration.htm

 

http://loki.stockton.edu/~epsteinc/etcalc.htm

 

http://www.globe.gov/sda-bin/wt?ghp/archive+L(en)

 

 

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