അജ്ഞാതം


"പശ്ചിമഘട്ട പരിസ്ഥിതി വിദഗ്‌ധ സമിതി റിപ്പോർട്ട്‌" എന്ന താളിന്റെ പതിപ്പുകൾ തമ്മിലുള്ള വ്യത്യാസം

പരിഷത്ത് വിക്കി സംരംഭത്തിൽ നിന്ന്
വരി 2,236: വരി 2,236:
==അനുബന്ധങ്ങൾ==
==അനുബന്ധങ്ങൾ==


അനുബന്ധം 1 പഠനരീതി
===പഠനരീതി===
 
Methodology employed in generating and interpreting the western ghats database and assigning ESZs
Methodology employed in generating and interpreting the western ghats database and assigning ESZs


വരി 2,285: വരി 2,286:
this approach due to  several operational  constraints.
this approach due to  several operational  constraints.


2. a. Data Cleaning Process:5 minute x 5 minute grid file generation for Western Ghats Cover  (shape file)  using
2. a. Data Cleaning Process:5 minute x 5 minute grid file generation for Western Ghats Cover  (shape file)  using
Vector Grid plugin of QGIS
Vector Grid plugin of QGIS
b. 1 minute x 1 minute grid file generation for Western Ghats Cover of  Goa state (shape file) using Vector Grid plugin  of QGIS
b. 1 minute x 1 minute grid file generation for Western Ghats Cover of  Goa state (shape file) using Vector Grid plugin  of QGIS
c. Rasterization of each attribute of ATREE data by applying Surface method usingRasterize (Vector to Raster) plugin of QGIS
c. Rasterization of each attribute of ATREE data by applying Surface method usingRasterize (Vector to Raster) plugin of QGIS
d. Generated  slope map in TIFF format using GDAL library
d. Generated  slope map in TIFF format using GDAL library
e. Generated shape files for following classes in Endemic Vertebrate data (RanjitDaniels, 2011)
e. Generated shape files for following classes in Endemic Vertebrate data (RanjitDaniels, 2011)
വരി 2,304: വരി 2,305:


Create table <table name> as SELECT e.id,test.val, ST_Intersection(test.geom, e.geometry) AS gv  FROM (SELECT (ST_DumpAsPolygons(ST_SetBandNodataValue(rast, 0))).geom, (ST_DumpAsPolygons(ST_SetBandNodataValue(rast, 0))).val FROM <Raster_table_name>) as test, <Grid_table_name> as e WHERE ST_Intersects(test.geom, e.geometry);
Create table <table name> as SELECT e.id,test.val, ST_Intersection(test.geom, e.geometry) AS gv  FROM (SELECT (ST_DumpAsPolygons(ST_SetBandNodataValue(rast, 0))).geom, (ST_DumpAsPolygons(ST_SetBandNodataValue(rast, 0))).val FROM <Raster_table_name>) as test, <Grid_table_name> as e WHERE ST_Intersects(test.geom, e.geometry);


5. Grouping and averaging of pixel values based upon grids
5. Grouping and averaging of pixel values based upon grids


Thereafter, average elevation values were calculated for each 5' x 5' grid for each state in the
Western Ghats and considered as a parameter.


The steps 4–5 were performed for parameters such as maximum slope values, endemic plants, iucn max, unique percent, comp3 percent, forest percent values, area of riparian
Thereafter, average elevation values were calculated for each 5' x 5' grid for each state in the Western Ghats and considered as a parameter.
forest (see explanation of parameter below) for each 5' x 5' grid for each state in the Western Ghats Cover.  
 
 
The steps 4–5 were performed for parameters such as maximum slope values, endemic plants, iucn max, unique percent, comp3 percent, forest percent values, area of riparian forest (see explanation of parameter below) for each 5' x 5' grid for each state in the Western Ghats Cover.  
 
6 Ranking the parameters generated  
6 Ranking the parameters generated  
Assigned ranks for the following 8 parameters  
Assigned ranks for the following 8 parameters  
a. Endemic plants : Number of endemic plant species  
a. Endemic plants : Number of endemic plant species  
b. IUCN_max: Number of IUCN Red listed mammal species  
b. IUCN_max: Number of IUCN Red listed mammal species  
c. Unique percent: Percentage of area covered by unique evergreen ecosystems  
c. Unique percent: Percentage of area covered by unique evergreen ecosystems  
d. Comp3 percent : Percentage of area covered by relatively undisturbed forest with low edge  
 
d. Comp3 percent : Percentage of area covered by relatively undisturbed forest with low edge  
 
e. Forest percent: Percentage of forest area  
e. Forest percent: Percentage of forest area  
f. Elevation  
f. Elevation  
g. Slope  
g. Slope  
h. Riparian Forests/Vegetation  
h. Riparian Forests/Vegetation  


As there is an ecological gradient from north to south in the Western Ghats with changes in diversity and species richness as well as physical features, a normalization for every state was done for these parameters. Thus, scores were normalized for each state. For instance, the highest recorded altitude in a given grid in a state was given the maximal score and all other grids in that state were ranked in relative fashion. After normalization ranks were assigned on a scale from 1 to 10 based on the maximum value of each parameter for each state.  
As there is an ecological gradient from north to south in the Western Ghats with changes in diversity and species richness as well as physical features, a normalization for every state was done for these parameters. Thus, scores were normalized for each state. For instance, the highest recorded altitude in a given grid in a state was given the maximal score and all other grids in that state were ranked in relative fashion. After normalization ranks were assigned on a scale from 1 to 10 based on the maximum value of each parameter for each state.  
7. Average of the ranks for all parameters  
7. Average of the ranks for all parameters  
Subsequent to the rank generation, the average of the ranks for all parameters were calculated. If, for a grid, there is data for only for 5 parameters out of 8 parameters, then dividing the sum by the number of parameters assessed took care of the problem of data available for variable numbers of parameters per grid.  
Subsequent to the rank generation, the average of the ranks for all parameters were calculated. If, for a grid, there is data for only for 5 parameters out of 8 parameters, then dividing the sum by the number of parameters assessed took care of the problem of data available for variable numbers of parameters per grid.  
8. ESZ assignment algorithm  
8. ESZ assignment algorithm  
1. We treat Western Ghats regions of each state separately  
1. We treat Western Ghats regions of each state separately  
a. Existing Protected Areas are treated as a fourth separate category  
a. Existing Protected Areas are treated as a fourth separate category  
വരി 2,355: വരി 2,371:
The method is illustrated for Goa:  
The method is illustrated for Goa:  
a. A WG database for Goa is prepared as discussed above  
a. A WG database for Goa is prepared as discussed above  
b. The parameters are ranked on a 1-10 scale, with lowest at 1 and highest ecological significance at 10  
b. The parameters are ranked on a 1-10 scale, with lowest at 1 and highest ecological significance at 10  
c. Composite scores – average for each grid- are calculated  
c. Composite scores – average for each grid- are calculated  
d. For arriving at ESZs, the grid scores were treated thus:  
d. For arriving at ESZs, the grid scores were treated thus:  
വരി 2,361: വരി 2,377:
 the lowest quartile (approx. 25%) of these scores for grids was computed. For Goa , this score is 3.14 which means all grids below this core are assigned to ESZ 3. For Goa there are 12 grids under ESZ3 , which constitute about 22% of the area.  
 the lowest quartile (approx. 25%) of these scores for grids was computed. For Goa , this score is 3.14 which means all grids below this core are assigned to ESZ 3. For Goa there are 12 grids under ESZ3 , which constitute about 22% of the area.  
 The balance of grids are assigned to ESZ2. These are 11 in number (20%, a deviation of 5% from the suggested 15% of area).  
 The balance of grids are assigned to ESZ2. These are 11 in number (20%, a deviation of 5% from the suggested 15% of area).  


9. Outputs  
9. Outputs  
വരി 2,369: വരി 2,386:
d. 1' x 1' grid analysis for Goa to incorporate the results of the Goa Regional plan  
d. 1' x 1' grid analysis for Goa to incorporate the results of the Goa Regional plan  
e. A Web GIS application  
e. A Web GIS application  


10. Information and Data Sources  
10. Information and Data Sources  
a. Habitat related information in the form of shape files for parts of Mahrashtra, Karnataka, Kerala and Tamil Nadu: Mr Kiran , Arundhati Das, V Srinivasan and Dr Jagdish Krishnaswamy of ATREE Additional data from Ravindra Bhalla of FERAL and Bhaskar Acharya of CEPF  
a. Habitat related information in the form of shape files for parts of Mahrashtra, Karnataka, Kerala and Tamil Nadu: Mr Kiran , Arundhati Das, V Srinivasan and Dr Jagdish Krishnaswamy of ATREE Additional data from Ravindra Bhalla of FERAL and Bhaskar Acharya of CEPF  
b. Dr RJR Daniels of Care Earth: point locations of mammals, reptiles, birds, amphibians and fishes  
b. Dr RJR Daniels of Care Earth: point locations of mammals, reptiles, birds, amphibians and fishes  
c. Dr K A Subramanian , ZSI: point locations of Odonata  
c. Dr K A Subramanian , ZSI: point locations of Odonata  
d. Prof R Sukumar: information on elephant corridors  
d. Prof R Sukumar: information on elephant corridors  
e. Dr K N Ganeshiah: Western Ghats boundary  
e. Dr K N Ganeshiah: Western Ghats boundary  
f. Dr P S Roy, Director, Indian Institute of Remote sensing, Dehra Dun: habitat information and shape files for Gujarat and Maharashtra  
f. Dr P S Roy, Director, Indian Institute of Remote sensing, Dehra Dun: habitat information and shape files for Gujarat and Maharashtra  
g. Dr Bharucha and Shamita from BVIEER, Pune: data on parts of Maharashtra  
g. Dr Bharucha and Shamita from BVIEER, Pune: data on parts of Maharashtra  
h. Dr K S Rajan , Open Source Geospatial Foundation – India chapter and IIIT, Hyderabad : geospatial statistical analyses  
h. Dr K S Rajan , Open Source Geospatial Foundation – India chapter and IIIT, Hyderabad : geospatial statistical analyses  
i. Dr P V K Nair, KFRI: assistance in analyses for Kerala  
i. Dr P V K Nair, KFRI: assistance in analyses for Kerala  
j. Santosh Gaikwad, Siva Krishna, Ravi Kumar, Ch.Appalachari, Sai Prasad of SACON: GIS work.  
j. Santosh Gaikwad, Siva Krishna, Ravi Kumar, Ch.Appalachari, Sai Prasad of SACON: GIS work.  




അനുബന്ധം 2 : പരിസ്ഥിതി ദുർബല മേഖല -ഒന്ന്‌, മേഖല-രണ്ട്‌, മേഖല-മൂന്ന്‌ എന്നിവയിൽ വിവിധ പശ്ചിമഘട്ടതാലൂക്കുകൾ ഉൾപ്പെടുത്തുന്നതു സംബന്ധിച്ച നിർദ്ദേശം.
=== പരിസ്ഥിതി ദുർബല മേഖല -ഒന്ന്‌, രണ്ട്‌, മൂന്ന്‌ എന്നിവയിൽ വിവിധ പശ്ചിമഘട്ടതാലൂക്കുകൾ ഉൾപ്പെടുത്തുന്നതു സംബന്ധിച്ച നിർദ്ദേശം===
 
സംസ്ഥാനം ജില്ല മേഖല 1 ലെ മേഖല 2ലെ മേഖല 3 ലെ താലൂക്കുകൾ താലൂക്കുകൾ താലൂക്കുകൾ
സംസ്ഥാനം ജില്ല മേഖല 1 ലെ മേഖല 2ലെ മേഖല 3 ലെ താലൂക്കുകൾ താലൂക്കുകൾ താലൂക്കുകൾ
ഗുജറാത്ത്‌ ദി ഡാൻഗ്‌സ്‌ അഹ്‌വ
ഗുജറാത്ത്‌ ദി ഡാൻഗ്‌സ്‌ അഹ്‌വ
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