SlideShare a Scribd company logo
1 of 16
Total # of         Growing
Tree ID      Tree Species                   Growth Rate               trees           Conditions      Location
           1 Fir, Douglas                   Fast                             3 Good                South
           2 Spruce, Norway                 Moderate                         1 Good                South
           3 Oak, white                     Slow                             1 Excellent           South
           4 Elm, American                  Fast                             1 Excellent           South
           5 Basswood, American             Fast                            21 Good                South
           6 Redbud, eastern                Moderate                         2 Fair                South
           7 Maple, red                     Moderate                         1 Excellent           South
           8 Hawthorne                      Moderate                         6 Excellent           South
           9 Ash, white                     Fast                             1 Excellent           South
          10 Kentucky coffeetree            Fast                             1 Good                South
          11                                                 #N/A
          12                                                 #N/A
          13                                                 #N/A
          14                                                 #N/A
          15                                                 #N/A
                                                                            38


                        Savings (dollars)                                                   Carbon Sequestered (lbs)
  $2,500.0        $2,386.7                                                       35,000.0

  $2,250.0
                                                                                 30,000.0
  $2,000.0
  $1,750.0                                                                       25,000.0
  $1,500.0
  $1,250.0                                                                       20,000.0

  $1,000.0
                                                                                 15,000.0
   $750.0                          $601.1                 $543.8
   $500.0                                                                        10,000.0
   $250.0
      $0.0                                                                        5,000.0

                Pollution      Runoff Sav-          CO2 Sav-
                                                                                      0.0
                Savings        ings                 ings                                           Carbon Sequestered (lbs)



             Tree Locations
                                       0
Carbon
                               Distance from        Sequestered                          Pollution      Runoff
             DBH (inches)      building (feet)         (lbs)            CO2 (lbs)        Savings        Savings
                         12                   30           Err:504            Err:504          $88.85       $26.51
                         10                   30           Err:504            Err:504          $21.91        $7.14
                         22                   35           Err:504            Err:504          $87.36       $20.96
                         22                   50           Err:504            Err:504          $87.36       $20.96
                         20                  330           Err:504            Err:504      $1,538.25       $379.05
                         20                  150           Err:504            Err:504         $146.50       $36.10
                         30                   60           Err:504            Err:504         $156.59       $35.02
                         14                  330           Err:504            Err:504         $231.64       $64.66
                          8                   70           Err:504            Err:504          $15.48        $5.69
                          7                  320           Err:504            Err:504          $12.75        $5.05




                        16.5               140.5           Err:504            Err:504       $2,386.7        $601.1


questered (lbs)                           Home Energy Savings (dollars)                 Total Savings
                                        $1,000.0
                                          $900.0
                                                                                                 $3,540.1
                                          $800.0
                                          $700.0
                                          $600.0
                                          $500.0
                                          $400.0
                                          $300.0
                                          $200.0
                                          $100.0
                                                           $8.5
                                             $0.0
bon Sequestered (lbs)                                        Column S
Home Energy Future
CO2 Savings     Savings     DBH
     $28.79           $0.00     12.00
      $8.60           $0.00     10.00
     $17.83           $8.50     22.00
     $17.83           $0.00     22.00
    $330.75           $0.00     20.00
     $31.50           $0.00     20.00
     $28.30           $0.00     30.00
     $64.87           $0.00     14.00
      $7.82           $0.00      8.00
      $7.51           $0.00      7.00




     $543.8            $8.5


              Years in the Future
                         1 Present


              Use the slide
              bar to the
              right to
              examine the
              value of
              your trees in
              the future
No Tree (put zero in for total # of trees)   none                     Hardwood
Ailanthus                                     Ailanthus altissima     Hardwood
Alder, European                              Alnus glutinosa          Hardwood
Ash, green                                   Fraxinus pennsylvanica   Hardwood
Ash, mountain, American                      Sorbus americana         Hardwood
Ash, white                                    Fraxinus americana      Hardwood
Aspen, bigtooth                              Populus trandidentata    Hardwood
Aspen, quaking                               Populus tremuloides      Hardwood
Baldcypress                                  Taxodium distichum       Conifer
Basswood, American                           Tilia americana,         Hardwood
Beech, American                              Fagus grandifolia        Hardwood
Birch, paper (white)                         Betula papyrifera        Hardwood
Birch, river                                 Betula nigra             Hardwood
Birch, yellow                                Betula alleghaniensis    Hardwood
Boxelder                                     Acer negundo             Hardwood
Buckeye, Ohio                                Aesculus glabra          Hardwood
Catalpa, northern                            Catalpa speciosa         Hardwood
Cedar-red, eastern                           Juniperus virginiana     Conifer
Cedar-white, northern                        Thuja occidentalis       Conifer
Cherry, black                                Prunus serotina          Hardwood
Cherry, pin                                   Prunus pennsylvanica    Hardwood
Cottonwood, eastern                          Populus deltoides        Hardwood
Crabapple                                    Malus spp.               Hardwood
Cucumbertree                                 Magnolia acuminata       Hardwood
Dogwood, flowering                           Cornus florida           Hardwood
Elm, American                                Ulmus americana          Hardwood
Elm, Chinese                                 Ulmus parvifolia         Hardwood
Elm, rock                                    Ulmus thomasii           Hardwood
Elm, September                               Ulmus serotina           Hardwood
Elm, Siberian                                Ulmus pumila             Hardwood
Elm, slippery                                Ulmus rubra              Hardwood
Fir, balsam                                  Abies balsamea           Conifer
Fir, Douglas                                 Pseudotsuga menziesii    Conifer
Ginkgo                                       Ginkgo biloba            Hardwood
Hackberry                                    Celtis occidentalis      Hardwood
Hawthorne                                     Crataegus spp.          Hardwood
Hemlock, eastern                             Tsuga canadensis         Conifer
Hickory, bitternut                           Carya cordiformis        Hardwood
Hickory, mockernut                           Carya tomentosa          Hardwood
Hickory, pignut                              Carya glabra             Hardwood
Hickory, shagbark                            Carya ovata              Hardwood
Hickory, shellbark                           Carya laciniosa          Hardwood
hippocastanum                                not sure                 Hardwood
Holly, American                              Ilex opaca               Hardwood
Honeylocust                                  Gleditsia triacanthos    Hardwood
Hophornbeam, eastern                         Ostrya virginiana        Hardwood
Horsechestnut, common                        Aesculus                 Hardwood
Kentucky coffeetree                          Gymnocladus dioicus      Conifer
Linden, little-leaf                          Tilia cordata            Hardwood
Locust, black                                Robinia pseudoacacia     Hardwood
London plane tree       Platanus_X_acerifolia     Hardwood
Magnolia, southern      Magnolia grandifolia      Hardwood
Maple, bigleaf          Acer macrophyllum         Hardwood
Maple, Norway           Acer platanoides          Hardwood
Maple, red              Acer rubrum               Hardwood
Maple, silver           Acer saccharinum          Hardwood
Maple, sugar            Acer saccharum            Hardwood
Mulberry, red           Morus rubra               Hardwood
Oak, black               Quercus velutina         Hardwood
Oak, blue                Quercus douglasii        Hardwood
Oak, bur                Quercus macrocarpa        Hardwood
Oak, California black   Quercus kelloggii         Hardwood
Oak, California White   Quercus lobata            Hardwood
Oak, canyon live        Quercus chrysolepsis      Hardwood
Oak, chestnut           Quercus prinus            Hardwood
Oak, Chinkapin          Quercus muehlenbergii     Hardwood
Oak, Laurel             Quercus laurifolia        Hardwood
Oak, live               Quercus virginiana        Hardwood
Oak, northern red       Quercus rubra             Hardwood
Oak, overcup            Quercus lyrata            Hardwood
Oak, pin                Quercus palustris         Hardwood
Oak, scarlet            Quercus coccinea          Hardwood
Oak, swamp white        Quercus bicolor           Hardwood
Oak, water              Quercus nigra             Hardwood
Oak, white              Quercus alba              Hardwood
Oak, willow             Quercus phellos           Hardwood
Pecan                   Carya illinoensis         Hardwood
Pine, European black    Pinus nigra               Conifer
Pine, jack              Pinus banksiana           Conifer
Pine, loblolly          Pinus taeda               Conifer
Pine, longleaf          Pinus palustris           Conifer
Pine, ponderosa         Pinus ponderosa           Conifer
Pine, red               Pinus resinosa            Conifer
Pine, Scotch            Pinus sylvestris          Conifer
Pine, shortleaf          Pinus echinata           Conifer
Pine, slash             Pinus elliottii           Conifer
Pine, Virginia          Pinus virginiana          Conifer
Pine, white eastern     Pinus strobus             Conifer
Poplar, yellow          Liriodendron tulipifera   Harwood
Redbud, eastern         Cercis canadensis         Harwood
Sassafras               Sassafras albidum         Harwood
Spruce, black           Picea mariana             Conifer
Spruce, blue            Picea pungens             Conifer
Spruce, Norway          Picea abies               Conifer
Spruce, red             Picea rubens              Conifer
Spruce, white           Picea glauca              Conifer
Sugarberry              Celtis laevigata          Harwood
Sweetgum                Liquidambar styraciflua   Harwood
Sycamore                Platanus occidentalis     Harwood
Tamarack                Larix laricina            Conifer
Walnut          Juglans nigra   Harwood
Willow, black   Salix nigra     Harwood
Slow       2 Age      Growing Conditions   slow        moderate fast           slow
Fast       6        0 Excellent                    1.3        1.9        2.7             0
Fast       6        1 Good                         1.6        2.7          4           0.9
Fast       6        2 Fair                           2        3.5        5.4           1.1
Moderate   4        3 Poor                         2.4        4.3        6.9           1.4
Fast       6        4                              2.8        5.2        8.5           1.6
Moderate   4        5                              3.2        6.1       10.1           1.9
Moderate   4        6                              3.7        7.1       11.8           2.2
Fast       6        7                              4.1        8.1       13.6           2.5
Fast       6        8                              4.6        9.1       15.5           2.8
Fast       6        9                                5       10.2       17.4           3.1
Slow       2       10                              5.5       11.2       19.3           3.5
Moderate   4       11                                6       12.3       21.3           3.8
Moderate   4       12                              6.5       13.5       23.3           4.2
Moderate   4       13                                7       14.6       25.4           4.6
Slow       2       14                              7.5       15.8       27.5           4.9
Fast       6       15                              8.1       16.9       29.7           5.3
Slow       2       16                              8.6       18.1       31.9           5.7
Fast       6       17                              9.1       19.4       34.1           6.1
Moderate   4       18                              9.7       20.6       36.3           6.6
Moderate   4       19                             10.2       21.9       38.6             7
Moderate   4       20                             10.8       23.2        41            7.4
Moderate   4       21                             11.4       24.4       43.3           7.9
Fast       6       22                              12        25.8       45.7           8.3
Slow       2       23                             12.5       27.1       48.1           8.8
Fast       6       24                             13.1       28.4       50.6           9.2
Moderate   4       25                             13.7       29.8       53.1           9.7
Slow       2       26                             14.3       31.2       55.6          10.2
Fast       6       27                              15        32.5       58.1          10.7
Fast       6       28                             15.6       33.9       60.7          11.2
Moderate   4       29                             16.2       35.3       63.3          11.7
Slow       2       30                             16.8       36.8       65.9          12.2
Fast       6       31                             17.5       38.2       68.5          12.7
Slow       2       32                             18.1       39.7       71.2          13.3
Fast       6       33                             18.7       41.1       73.8          13.8
Moderate   4       34                             19.4       42.6       76.5          14.3
Moderate   4       35                              20        44.1       79.3          14.9
Slow       2       36                             20.7       45.6        82           15.5
Moderate   4       37                             21.4       47.1       84.8           16
Slow       2       38                              22        48.1       87.6          16.6
Slow       2       39                             22.7       50.2       90.4          17.2
Slow       2       40                             23.4       51.7       93.2          17.7
Moderate   4       41                             24.1       53.3       96.1          18.3
Slow       2       42                             24.8       54.8        99           18.9
Fast       6       43                             25.4       56.4      101.9          19.5
Slow       2       44                             26.1         58      104.8          20.1
Fast       6       45                             26.8       59.6      107.7          20.7
Fast       6       46                             27.6       61.2      110.7          21.3
Fast       6       47                             28.3       62.8      113.6           22
Fast       6       48                              29        64.5      119.6          22.6
Fast       6   49   29.7   66.1   122.7   23.2
Moderate   4   50   30.4   67.8   125.7   23.9
Slow       2   51   31.1   69.4   128.8   24.5
Moderate   4   52   31.9   71.1   131.8   25.2
Moderate   4   53   32.6   72.8   134.9   25.8
Moderate   4   54   33.4   74.5    138    26.5
Slow       2   55   34.1   76.2   141.2   27.2
Fast       6   56   34.8   77.9   144.3   27.8
Moderate   4   57   35.6   79.6   147.5   28.5
Moderate   4   58   36.3   81.3    148    29.2
Slow       2   59   37.1    83    150.6   29.9
Slow       2
Moderate   4
Slow       2
Slow       2
Moderate   4
Fast       6
Fast       6
Fast       6
Slow       2
Fast       6
Fast       6
Moderate   4
Moderate   4
Slow       2
Moderate   4
Slow       2
Slow       2
Fast       6
Fast       6
Fast       6
Fast       6
Fast       6
Slow       2
Fast       6
Fast       6
Moderate   4
Fast       6
Fast       6
Moderate   4
Moderate   4
Slow       2
Moderate   4
Moderate   4
Slow       2
Moderate   4
Fast       6
Fast       6
Fast       6
Fast       6
Fast   6
Fast   6
moderate fast       Location   Small         Medium     Large        Distance   Fuel Type
         1      1.4 East                 0          3            11 Close       Coal
       1.5      2.2 West               6.5        16             42 Medium      Oil
         2      3.1 South               -4       -7.5           -8.5 Far        Natural Gas
       2.5      4.1 North                0          0              0            Solar Power
       3.1      5.2                                                             Wind Power
       3.7      6.4
       4.4      7.6
       5.1      8.9
       5.8     10.2
       6.6     11.7
       7.4     13.2
       8.2     14.7
       9.1     16.3
       9.9     17.9
      10.8     19.6
      11.8     21.4
      12.7     23.2
      13.7      25
      14.7     26.9
      15.7     28.8
      16.7     30.8
      17.8     32.8
      18.9     34.9
        20      37
      21.1     39.1
      22.2     41.3
      23.4     43.5
      24.6     45.7
      25.8      48
        27     50.3
      28.2     52.7
      29.5     55.1
      30.7     57.5
        32     59.9
      33.3     62.4
      34.7     64.9
        36     67.5
      37.3     70.1
      38.7     72.7
      40.1     75.3
      41.5      78
      42.9     80.7
      44.3     83.4
      45.8     86.2
      47.2      89
      48.7     91.8
      50.2     94.7
      51.7     97.5
      53.2    100.4
54.8   103.4
56.3   106.3
57.9   109.3
59.4   112.3
60.1   115.4
62.6   118.4
64.2   121.5
65.9   124.6
67.5   127.8
69.2   130.9
70.8   134.1
Tree ID        Tree Type Growth Conditions Growth Factor Age Estimate DBH Future
           1        Err:504             0.8             6           72      12.17
           2        Err:504             0.8             4           40      10.25
           3        Err:504               1             2           44      22.50
           4        Err:504               1             6          132      22.17
           5        Err:504             0.8             6          120      20.17
           6        Err:504             0.5             4           80      20.25
           7        Err:504               1             4          120      30.25
           8        Err:504               1             4           56      14.25
           9        Err:504               1             6           48       8.17
          10        Err:504             0.8             6           42       7.17
          11        Err:504         FALSE           #N/A          #N/A      #N/A
          12        Err:504         FALSE           #N/A          #N/A      #N/A
          13        Err:504         FALSE           #N/A          #N/A      #N/A
          14        Err:504         FALSE           #N/A          #N/A      #N/A
          15        Err:504         FALSE           #N/A          #N/A      #N/A
          16        Err:504         FALSE               0            0    Err:503
          17        Err:504         FALSE               0            0    Err:503
          18        Err:504         FALSE               0            0    Err:503
          19        Err:504         FALSE               0            0    Err:503
          20        Err:504         FALSE               0            0    Err:503
Savings (dollars)                   Carbon Dioxide removed (lbs
$1,500.0                                                      2,000.0

                                                              1,750.0
$1,250.0
                                                              1,500.0
$1,000.0
                                                              1,250.0
 $750.0
                                                              1,000.0
 $500.0                                                         750.0

 $250.0                                                         500.0

                                                                250.0
    $0.0
           Pollution Sav-    Runoff Savings   CO2 Savings         0.0
           ings                                                           CO2 (lbs)
bon Dioxide removed (lbs)Home Energy Savings (dollars)
,000.0                   $300.0

,750.0
                         $250.0
,500.0
                         $200.0
,250.0

,000.0                   $150.0

 750.0
                         $100.0
 500.0
                          $50.0
 250.0

   0.0                     $0.0
           CO2 (lbs)                   Column S
Carbon Dioxide removed (lbs)
 25,000.0
 22,500.0
 20,000.0
 17,500.0
 15,000.0
 12,500.0
 10,000.0
  7,500.0
  5,000.0
  2,500.0
      0.0
               CO2 (lbs)

More Related Content

What's hot

P4 raymond alvarez excel
P4 raymond alvarez excelP4 raymond alvarez excel
P4 raymond alvarez excelraymond4321
 
Slide show survey period 4
Slide show survey period 4Slide show survey period 4
Slide show survey period 4raymond4321
 
Flyer Price List 30 July 2011
Flyer Price List 30 July 2011Flyer Price List 30 July 2011
Flyer Price List 30 July 2011ddammer
 
How does it work artifact
How does it work artifactHow does it work artifact
How does it work artifactab0046bn
 
Marketing plan
Marketing planMarketing plan
Marketing planDarien Cac
 

What's hot (7)

Eden Grove Hotel Projections
Eden Grove Hotel ProjectionsEden Grove Hotel Projections
Eden Grove Hotel Projections
 
P4 raymond alvarez excel
P4 raymond alvarez excelP4 raymond alvarez excel
P4 raymond alvarez excel
 
Slide show survey period 4
Slide show survey period 4Slide show survey period 4
Slide show survey period 4
 
Flyer Price List 30 July 2011
Flyer Price List 30 July 2011Flyer Price List 30 July 2011
Flyer Price List 30 July 2011
 
How does it work artifact
How does it work artifactHow does it work artifact
How does it work artifact
 
Marketing plan
Marketing planMarketing plan
Marketing plan
 
Sexto bimestre2010
Sexto bimestre2010Sexto bimestre2010
Sexto bimestre2010
 

Viewers also liked (9)

Babesletza eta mezenasgoa
Babesletza eta mezenasgoaBabesletza eta mezenasgoa
Babesletza eta mezenasgoa
 
Ipaddressingandsubnettingworkbookv1 2
Ipaddressingandsubnettingworkbookv1 2Ipaddressingandsubnettingworkbookv1 2
Ipaddressingandsubnettingworkbookv1 2
 
South District Of Bc High C
South District Of Bc High CSouth District Of Bc High C
South District Of Bc High C
 
Babesletza eta mezenasgoa
Babesletza eta mezenasgoaBabesletza eta mezenasgoa
Babesletza eta mezenasgoa
 
Will Probeck Makeoverredo2
Will Probeck Makeoverredo2Will Probeck Makeoverredo2
Will Probeck Makeoverredo2
 
Will Probeck Web20 New Byol
Will Probeck Web20 New ByolWill Probeck Web20 New Byol
Will Probeck Web20 New Byol
 
Will's VA Desk Procedures Examples
Will's VA Desk Procedures ExamplesWill's VA Desk Procedures Examples
Will's VA Desk Procedures Examples
 
Dubai
DubaiDubai
Dubai
 
26-1-7--vpm sim article
26-1-7--vpm sim article26-1-7--vpm sim article
26-1-7--vpm sim article
 

Similar to Tree Project

Executive Summary Rough Draft #3
Executive Summary Rough Draft #3Executive Summary Rough Draft #3
Executive Summary Rough Draft #3AVINRAM
 
Wag Factory Analysis
Wag Factory AnalysisWag Factory Analysis
Wag Factory Analysisrdclarke
 
Analysis Coversheet Final
Analysis Coversheet FinalAnalysis Coversheet Final
Analysis Coversheet FinalJohn_Nuckel1
 
Cotizacion Redes Cole
Cotizacion Redes ColeCotizacion Redes Cole
Cotizacion Redes ColePaola Pedroza
 
Conference Budget Template
Conference Budget TemplateConference Budget Template
Conference Budget TemplateDemand Metric
 
Vendor quote for Fall Festival 2009 - 62 Sport
Vendor quote for Fall Festival 2009 - 62 SportVendor quote for Fall Festival 2009 - 62 Sport
Vendor quote for Fall Festival 2009 - 62 Sportjenniferbdudley
 
Student Managed Farm Crops Final Presentation 2012
Student Managed Farm Crops Final Presentation 2012Student Managed Farm Crops Final Presentation 2012
Student Managed Farm Crops Final Presentation 2012Lakeland College
 
Engine Crankcase Housing Payback
Engine Crankcase Housing PaybackEngine Crankcase Housing Payback
Engine Crankcase Housing Paybackbharrigan
 
Unaudited Actuals
Unaudited ActualsUnaudited Actuals
Unaudited Actualsdvodicka
 
Humanitarian disaster reponse committee financial report
Humanitarian disaster reponse committee financial report Humanitarian disaster reponse committee financial report
Humanitarian disaster reponse committee financial report Mohammed Omer
 
Humanitarian disaster reponse committe
Humanitarian disaster reponse committeHumanitarian disaster reponse committe
Humanitarian disaster reponse committeMohammed Omer
 
budget
budgetbudget
budgetcptdan
 
Quota Loan Cash Flow Analysis
Quota Loan Cash Flow AnalysisQuota Loan Cash Flow Analysis
Quota Loan Cash Flow AnalysisDr. Tom Armstrong
 
Picture & quotation
Picture & quotationPicture & quotation
Picture & quotationguestc6924c
 
Deer Claim Study Counties
Deer Claim Study CountiesDeer Claim Study Counties
Deer Claim Study CountiesBlinsink
 
Dr. David Kohl - Financial and Management Planning for Young Producers
Dr. David Kohl - Financial and Management Planning for Young ProducersDr. David Kohl - Financial and Management Planning for Young Producers
Dr. David Kohl - Financial and Management Planning for Young ProducersJohn Blue
 

Similar to Tree Project (20)

Executive Summary Rough Draft #3
Executive Summary Rough Draft #3Executive Summary Rough Draft #3
Executive Summary Rough Draft #3
 
Wag Factory Analysis
Wag Factory AnalysisWag Factory Analysis
Wag Factory Analysis
 
Analysis Coversheet Final
Analysis Coversheet FinalAnalysis Coversheet Final
Analysis Coversheet Final
 
Cotizacion Redes Cole
Cotizacion Redes ColeCotizacion Redes Cole
Cotizacion Redes Cole
 
Conference Budget Template
Conference Budget TemplateConference Budget Template
Conference Budget Template
 
Vendor quote for Fall Festival 2009 - 62 Sport
Vendor quote for Fall Festival 2009 - 62 SportVendor quote for Fall Festival 2009 - 62 Sport
Vendor quote for Fall Festival 2009 - 62 Sport
 
Student Managed Farm Crops Final Presentation 2012
Student Managed Farm Crops Final Presentation 2012Student Managed Farm Crops Final Presentation 2012
Student Managed Farm Crops Final Presentation 2012
 
FY07 Master .xls
FY07 Master .xlsFY07 Master .xls
FY07 Master .xls
 
Engine Crankcase Housing Payback
Engine Crankcase Housing PaybackEngine Crankcase Housing Payback
Engine Crankcase Housing Payback
 
Unaudited Actuals
Unaudited ActualsUnaudited Actuals
Unaudited Actuals
 
Why churches are hurting
Why churches are hurtingWhy churches are hurting
Why churches are hurting
 
Humanitarian disaster reponse committee financial report
Humanitarian disaster reponse committee financial report Humanitarian disaster reponse committee financial report
Humanitarian disaster reponse committee financial report
 
Humanitarian disaster reponse committe
Humanitarian disaster reponse committeHumanitarian disaster reponse committe
Humanitarian disaster reponse committe
 
budget
budgetbudget
budget
 
Ejercicio 24 02
Ejercicio 24 02Ejercicio 24 02
Ejercicio 24 02
 
Quota Loan Cash Flow Analysis
Quota Loan Cash Flow AnalysisQuota Loan Cash Flow Analysis
Quota Loan Cash Flow Analysis
 
Damir's sales numbers
Damir's sales numbers Damir's sales numbers
Damir's sales numbers
 
Picture & quotation
Picture & quotationPicture & quotation
Picture & quotation
 
Deer Claim Study Counties
Deer Claim Study CountiesDeer Claim Study Counties
Deer Claim Study Counties
 
Dr. David Kohl - Financial and Management Planning for Young Producers
Dr. David Kohl - Financial and Management Planning for Young ProducersDr. David Kohl - Financial and Management Planning for Young Producers
Dr. David Kohl - Financial and Management Planning for Young Producers
 

Recently uploaded

Data Cloud, More than a CDP by Matt Robison
Data Cloud, More than a CDP by Matt RobisonData Cloud, More than a CDP by Matt Robison
Data Cloud, More than a CDP by Matt RobisonAnna Loughnan Colquhoun
 
GenCyber Cyber Security Day Presentation
GenCyber Cyber Security Day PresentationGenCyber Cyber Security Day Presentation
GenCyber Cyber Security Day PresentationMichael W. Hawkins
 
04-2024-HHUG-Sales-and-Marketing-Alignment.pptx
04-2024-HHUG-Sales-and-Marketing-Alignment.pptx04-2024-HHUG-Sales-and-Marketing-Alignment.pptx
04-2024-HHUG-Sales-and-Marketing-Alignment.pptxHampshireHUG
 
Presentation on how to chat with PDF using ChatGPT code interpreter
Presentation on how to chat with PDF using ChatGPT code interpreterPresentation on how to chat with PDF using ChatGPT code interpreter
Presentation on how to chat with PDF using ChatGPT code interpreternaman860154
 
Exploring the Future Potential of AI-Enabled Smartphone Processors
Exploring the Future Potential of AI-Enabled Smartphone ProcessorsExploring the Future Potential of AI-Enabled Smartphone Processors
Exploring the Future Potential of AI-Enabled Smartphone Processorsdebabhi2
 
Finology Group – Insurtech Innovation Award 2024
Finology Group – Insurtech Innovation Award 2024Finology Group – Insurtech Innovation Award 2024
Finology Group – Insurtech Innovation Award 2024The Digital Insurer
 
Automating Google Workspace (GWS) & more with Apps Script
Automating Google Workspace (GWS) & more with Apps ScriptAutomating Google Workspace (GWS) & more with Apps Script
Automating Google Workspace (GWS) & more with Apps Scriptwesley chun
 
Advantages of Hiring UIUX Design Service Providers for Your Business
Advantages of Hiring UIUX Design Service Providers for Your BusinessAdvantages of Hiring UIUX Design Service Providers for Your Business
Advantages of Hiring UIUX Design Service Providers for Your BusinessPixlogix Infotech
 
From Event to Action: Accelerate Your Decision Making with Real-Time Automation
From Event to Action: Accelerate Your Decision Making with Real-Time AutomationFrom Event to Action: Accelerate Your Decision Making with Real-Time Automation
From Event to Action: Accelerate Your Decision Making with Real-Time AutomationSafe Software
 
How to Troubleshoot Apps for the Modern Connected Worker
How to Troubleshoot Apps for the Modern Connected WorkerHow to Troubleshoot Apps for the Modern Connected Worker
How to Troubleshoot Apps for the Modern Connected WorkerThousandEyes
 
How to convert PDF to text with Nanonets
How to convert PDF to text with NanonetsHow to convert PDF to text with Nanonets
How to convert PDF to text with Nanonetsnaman860154
 
Boost PC performance: How more available memory can improve productivity
Boost PC performance: How more available memory can improve productivityBoost PC performance: How more available memory can improve productivity
Boost PC performance: How more available memory can improve productivityPrincipled Technologies
 
Factors to Consider When Choosing Accounts Payable Services Providers.pptx
Factors to Consider When Choosing Accounts Payable Services Providers.pptxFactors to Consider When Choosing Accounts Payable Services Providers.pptx
Factors to Consider When Choosing Accounts Payable Services Providers.pptxKatpro Technologies
 
2024: Domino Containers - The Next Step. News from the Domino Container commu...
2024: Domino Containers - The Next Step. News from the Domino Container commu...2024: Domino Containers - The Next Step. News from the Domino Container commu...
2024: Domino Containers - The Next Step. News from the Domino Container commu...Martijn de Jong
 
🐬 The future of MySQL is Postgres 🐘
🐬  The future of MySQL is Postgres   🐘🐬  The future of MySQL is Postgres   🐘
🐬 The future of MySQL is Postgres 🐘RTylerCroy
 
A Year of the Servo Reboot: Where Are We Now?
A Year of the Servo Reboot: Where Are We Now?A Year of the Servo Reboot: Where Are We Now?
A Year of the Servo Reboot: Where Are We Now?Igalia
 
Artificial Intelligence: Facts and Myths
Artificial Intelligence: Facts and MythsArtificial Intelligence: Facts and Myths
Artificial Intelligence: Facts and MythsJoaquim Jorge
 
08448380779 Call Girls In Friends Colony Women Seeking Men
08448380779 Call Girls In Friends Colony Women Seeking Men08448380779 Call Girls In Friends Colony Women Seeking Men
08448380779 Call Girls In Friends Colony Women Seeking MenDelhi Call girls
 
Axa Assurance Maroc - Insurer Innovation Award 2024
Axa Assurance Maroc - Insurer Innovation Award 2024Axa Assurance Maroc - Insurer Innovation Award 2024
Axa Assurance Maroc - Insurer Innovation Award 2024The Digital Insurer
 
Strategies for Unlocking Knowledge Management in Microsoft 365 in the Copilot...
Strategies for Unlocking Knowledge Management in Microsoft 365 in the Copilot...Strategies for Unlocking Knowledge Management in Microsoft 365 in the Copilot...
Strategies for Unlocking Knowledge Management in Microsoft 365 in the Copilot...Drew Madelung
 

Recently uploaded (20)

Data Cloud, More than a CDP by Matt Robison
Data Cloud, More than a CDP by Matt RobisonData Cloud, More than a CDP by Matt Robison
Data Cloud, More than a CDP by Matt Robison
 
GenCyber Cyber Security Day Presentation
GenCyber Cyber Security Day PresentationGenCyber Cyber Security Day Presentation
GenCyber Cyber Security Day Presentation
 
04-2024-HHUG-Sales-and-Marketing-Alignment.pptx
04-2024-HHUG-Sales-and-Marketing-Alignment.pptx04-2024-HHUG-Sales-and-Marketing-Alignment.pptx
04-2024-HHUG-Sales-and-Marketing-Alignment.pptx
 
Presentation on how to chat with PDF using ChatGPT code interpreter
Presentation on how to chat with PDF using ChatGPT code interpreterPresentation on how to chat with PDF using ChatGPT code interpreter
Presentation on how to chat with PDF using ChatGPT code interpreter
 
Exploring the Future Potential of AI-Enabled Smartphone Processors
Exploring the Future Potential of AI-Enabled Smartphone ProcessorsExploring the Future Potential of AI-Enabled Smartphone Processors
Exploring the Future Potential of AI-Enabled Smartphone Processors
 
Finology Group – Insurtech Innovation Award 2024
Finology Group – Insurtech Innovation Award 2024Finology Group – Insurtech Innovation Award 2024
Finology Group – Insurtech Innovation Award 2024
 
Automating Google Workspace (GWS) & more with Apps Script
Automating Google Workspace (GWS) & more with Apps ScriptAutomating Google Workspace (GWS) & more with Apps Script
Automating Google Workspace (GWS) & more with Apps Script
 
Advantages of Hiring UIUX Design Service Providers for Your Business
Advantages of Hiring UIUX Design Service Providers for Your BusinessAdvantages of Hiring UIUX Design Service Providers for Your Business
Advantages of Hiring UIUX Design Service Providers for Your Business
 
From Event to Action: Accelerate Your Decision Making with Real-Time Automation
From Event to Action: Accelerate Your Decision Making with Real-Time AutomationFrom Event to Action: Accelerate Your Decision Making with Real-Time Automation
From Event to Action: Accelerate Your Decision Making with Real-Time Automation
 
How to Troubleshoot Apps for the Modern Connected Worker
How to Troubleshoot Apps for the Modern Connected WorkerHow to Troubleshoot Apps for the Modern Connected Worker
How to Troubleshoot Apps for the Modern Connected Worker
 
How to convert PDF to text with Nanonets
How to convert PDF to text with NanonetsHow to convert PDF to text with Nanonets
How to convert PDF to text with Nanonets
 
Boost PC performance: How more available memory can improve productivity
Boost PC performance: How more available memory can improve productivityBoost PC performance: How more available memory can improve productivity
Boost PC performance: How more available memory can improve productivity
 
Factors to Consider When Choosing Accounts Payable Services Providers.pptx
Factors to Consider When Choosing Accounts Payable Services Providers.pptxFactors to Consider When Choosing Accounts Payable Services Providers.pptx
Factors to Consider When Choosing Accounts Payable Services Providers.pptx
 
2024: Domino Containers - The Next Step. News from the Domino Container commu...
2024: Domino Containers - The Next Step. News from the Domino Container commu...2024: Domino Containers - The Next Step. News from the Domino Container commu...
2024: Domino Containers - The Next Step. News from the Domino Container commu...
 
🐬 The future of MySQL is Postgres 🐘
🐬  The future of MySQL is Postgres   🐘🐬  The future of MySQL is Postgres   🐘
🐬 The future of MySQL is Postgres 🐘
 
A Year of the Servo Reboot: Where Are We Now?
A Year of the Servo Reboot: Where Are We Now?A Year of the Servo Reboot: Where Are We Now?
A Year of the Servo Reboot: Where Are We Now?
 
Artificial Intelligence: Facts and Myths
Artificial Intelligence: Facts and MythsArtificial Intelligence: Facts and Myths
Artificial Intelligence: Facts and Myths
 
08448380779 Call Girls In Friends Colony Women Seeking Men
08448380779 Call Girls In Friends Colony Women Seeking Men08448380779 Call Girls In Friends Colony Women Seeking Men
08448380779 Call Girls In Friends Colony Women Seeking Men
 
Axa Assurance Maroc - Insurer Innovation Award 2024
Axa Assurance Maroc - Insurer Innovation Award 2024Axa Assurance Maroc - Insurer Innovation Award 2024
Axa Assurance Maroc - Insurer Innovation Award 2024
 
Strategies for Unlocking Knowledge Management in Microsoft 365 in the Copilot...
Strategies for Unlocking Knowledge Management in Microsoft 365 in the Copilot...Strategies for Unlocking Knowledge Management in Microsoft 365 in the Copilot...
Strategies for Unlocking Knowledge Management in Microsoft 365 in the Copilot...
 

Tree Project

  • 1. Total # of Growing Tree ID Tree Species Growth Rate trees Conditions Location 1 Fir, Douglas Fast 3 Good South 2 Spruce, Norway Moderate 1 Good South 3 Oak, white Slow 1 Excellent South 4 Elm, American Fast 1 Excellent South 5 Basswood, American Fast 21 Good South 6 Redbud, eastern Moderate 2 Fair South 7 Maple, red Moderate 1 Excellent South 8 Hawthorne Moderate 6 Excellent South 9 Ash, white Fast 1 Excellent South 10 Kentucky coffeetree Fast 1 Good South 11 #N/A 12 #N/A 13 #N/A 14 #N/A 15 #N/A 38 Savings (dollars) Carbon Sequestered (lbs) $2,500.0 $2,386.7 35,000.0 $2,250.0 30,000.0 $2,000.0 $1,750.0 25,000.0 $1,500.0 $1,250.0 20,000.0 $1,000.0 15,000.0 $750.0 $601.1 $543.8 $500.0 10,000.0 $250.0 $0.0 5,000.0 Pollution Runoff Sav- CO2 Sav- 0.0 Savings ings ings Carbon Sequestered (lbs) Tree Locations 0
  • 2. Carbon Distance from Sequestered Pollution Runoff DBH (inches) building (feet) (lbs) CO2 (lbs) Savings Savings 12 30 Err:504 Err:504 $88.85 $26.51 10 30 Err:504 Err:504 $21.91 $7.14 22 35 Err:504 Err:504 $87.36 $20.96 22 50 Err:504 Err:504 $87.36 $20.96 20 330 Err:504 Err:504 $1,538.25 $379.05 20 150 Err:504 Err:504 $146.50 $36.10 30 60 Err:504 Err:504 $156.59 $35.02 14 330 Err:504 Err:504 $231.64 $64.66 8 70 Err:504 Err:504 $15.48 $5.69 7 320 Err:504 Err:504 $12.75 $5.05 16.5 140.5 Err:504 Err:504 $2,386.7 $601.1 questered (lbs) Home Energy Savings (dollars) Total Savings $1,000.0 $900.0 $3,540.1 $800.0 $700.0 $600.0 $500.0 $400.0 $300.0 $200.0 $100.0 $8.5 $0.0 bon Sequestered (lbs) Column S
  • 3. Home Energy Future CO2 Savings Savings DBH $28.79 $0.00 12.00 $8.60 $0.00 10.00 $17.83 $8.50 22.00 $17.83 $0.00 22.00 $330.75 $0.00 20.00 $31.50 $0.00 20.00 $28.30 $0.00 30.00 $64.87 $0.00 14.00 $7.82 $0.00 8.00 $7.51 $0.00 7.00 $543.8 $8.5 Years in the Future 1 Present Use the slide bar to the right to examine the value of your trees in the future
  • 4. No Tree (put zero in for total # of trees) none Hardwood Ailanthus Ailanthus altissima Hardwood Alder, European Alnus glutinosa Hardwood Ash, green Fraxinus pennsylvanica Hardwood Ash, mountain, American Sorbus americana Hardwood Ash, white Fraxinus americana Hardwood Aspen, bigtooth Populus trandidentata Hardwood Aspen, quaking Populus tremuloides Hardwood Baldcypress Taxodium distichum Conifer Basswood, American Tilia americana, Hardwood Beech, American Fagus grandifolia Hardwood Birch, paper (white) Betula papyrifera Hardwood Birch, river Betula nigra Hardwood Birch, yellow Betula alleghaniensis Hardwood Boxelder Acer negundo Hardwood Buckeye, Ohio Aesculus glabra Hardwood Catalpa, northern Catalpa speciosa Hardwood Cedar-red, eastern Juniperus virginiana Conifer Cedar-white, northern Thuja occidentalis Conifer Cherry, black Prunus serotina Hardwood Cherry, pin Prunus pennsylvanica Hardwood Cottonwood, eastern Populus deltoides Hardwood Crabapple Malus spp. Hardwood Cucumbertree Magnolia acuminata Hardwood Dogwood, flowering Cornus florida Hardwood Elm, American Ulmus americana Hardwood Elm, Chinese Ulmus parvifolia Hardwood Elm, rock Ulmus thomasii Hardwood Elm, September Ulmus serotina Hardwood Elm, Siberian Ulmus pumila Hardwood Elm, slippery Ulmus rubra Hardwood Fir, balsam Abies balsamea Conifer Fir, Douglas Pseudotsuga menziesii Conifer Ginkgo Ginkgo biloba Hardwood Hackberry Celtis occidentalis Hardwood Hawthorne Crataegus spp. Hardwood Hemlock, eastern Tsuga canadensis Conifer Hickory, bitternut Carya cordiformis Hardwood Hickory, mockernut Carya tomentosa Hardwood Hickory, pignut Carya glabra Hardwood Hickory, shagbark Carya ovata Hardwood Hickory, shellbark Carya laciniosa Hardwood hippocastanum not sure Hardwood Holly, American Ilex opaca Hardwood Honeylocust Gleditsia triacanthos Hardwood Hophornbeam, eastern Ostrya virginiana Hardwood Horsechestnut, common Aesculus Hardwood Kentucky coffeetree Gymnocladus dioicus Conifer Linden, little-leaf Tilia cordata Hardwood Locust, black Robinia pseudoacacia Hardwood
  • 5. London plane tree Platanus_X_acerifolia Hardwood Magnolia, southern Magnolia grandifolia Hardwood Maple, bigleaf Acer macrophyllum Hardwood Maple, Norway Acer platanoides Hardwood Maple, red Acer rubrum Hardwood Maple, silver Acer saccharinum Hardwood Maple, sugar Acer saccharum Hardwood Mulberry, red Morus rubra Hardwood Oak, black Quercus velutina Hardwood Oak, blue Quercus douglasii Hardwood Oak, bur Quercus macrocarpa Hardwood Oak, California black Quercus kelloggii Hardwood Oak, California White Quercus lobata Hardwood Oak, canyon live Quercus chrysolepsis Hardwood Oak, chestnut Quercus prinus Hardwood Oak, Chinkapin Quercus muehlenbergii Hardwood Oak, Laurel Quercus laurifolia Hardwood Oak, live Quercus virginiana Hardwood Oak, northern red Quercus rubra Hardwood Oak, overcup Quercus lyrata Hardwood Oak, pin Quercus palustris Hardwood Oak, scarlet Quercus coccinea Hardwood Oak, swamp white Quercus bicolor Hardwood Oak, water Quercus nigra Hardwood Oak, white Quercus alba Hardwood Oak, willow Quercus phellos Hardwood Pecan Carya illinoensis Hardwood Pine, European black Pinus nigra Conifer Pine, jack Pinus banksiana Conifer Pine, loblolly Pinus taeda Conifer Pine, longleaf Pinus palustris Conifer Pine, ponderosa Pinus ponderosa Conifer Pine, red Pinus resinosa Conifer Pine, Scotch Pinus sylvestris Conifer Pine, shortleaf Pinus echinata Conifer Pine, slash Pinus elliottii Conifer Pine, Virginia Pinus virginiana Conifer Pine, white eastern Pinus strobus Conifer Poplar, yellow Liriodendron tulipifera Harwood Redbud, eastern Cercis canadensis Harwood Sassafras Sassafras albidum Harwood Spruce, black Picea mariana Conifer Spruce, blue Picea pungens Conifer Spruce, Norway Picea abies Conifer Spruce, red Picea rubens Conifer Spruce, white Picea glauca Conifer Sugarberry Celtis laevigata Harwood Sweetgum Liquidambar styraciflua Harwood Sycamore Platanus occidentalis Harwood Tamarack Larix laricina Conifer
  • 6. Walnut Juglans nigra Harwood Willow, black Salix nigra Harwood
  • 7. Slow 2 Age Growing Conditions slow moderate fast slow Fast 6 0 Excellent 1.3 1.9 2.7 0 Fast 6 1 Good 1.6 2.7 4 0.9 Fast 6 2 Fair 2 3.5 5.4 1.1 Moderate 4 3 Poor 2.4 4.3 6.9 1.4 Fast 6 4 2.8 5.2 8.5 1.6 Moderate 4 5 3.2 6.1 10.1 1.9 Moderate 4 6 3.7 7.1 11.8 2.2 Fast 6 7 4.1 8.1 13.6 2.5 Fast 6 8 4.6 9.1 15.5 2.8 Fast 6 9 5 10.2 17.4 3.1 Slow 2 10 5.5 11.2 19.3 3.5 Moderate 4 11 6 12.3 21.3 3.8 Moderate 4 12 6.5 13.5 23.3 4.2 Moderate 4 13 7 14.6 25.4 4.6 Slow 2 14 7.5 15.8 27.5 4.9 Fast 6 15 8.1 16.9 29.7 5.3 Slow 2 16 8.6 18.1 31.9 5.7 Fast 6 17 9.1 19.4 34.1 6.1 Moderate 4 18 9.7 20.6 36.3 6.6 Moderate 4 19 10.2 21.9 38.6 7 Moderate 4 20 10.8 23.2 41 7.4 Moderate 4 21 11.4 24.4 43.3 7.9 Fast 6 22 12 25.8 45.7 8.3 Slow 2 23 12.5 27.1 48.1 8.8 Fast 6 24 13.1 28.4 50.6 9.2 Moderate 4 25 13.7 29.8 53.1 9.7 Slow 2 26 14.3 31.2 55.6 10.2 Fast 6 27 15 32.5 58.1 10.7 Fast 6 28 15.6 33.9 60.7 11.2 Moderate 4 29 16.2 35.3 63.3 11.7 Slow 2 30 16.8 36.8 65.9 12.2 Fast 6 31 17.5 38.2 68.5 12.7 Slow 2 32 18.1 39.7 71.2 13.3 Fast 6 33 18.7 41.1 73.8 13.8 Moderate 4 34 19.4 42.6 76.5 14.3 Moderate 4 35 20 44.1 79.3 14.9 Slow 2 36 20.7 45.6 82 15.5 Moderate 4 37 21.4 47.1 84.8 16 Slow 2 38 22 48.1 87.6 16.6 Slow 2 39 22.7 50.2 90.4 17.2 Slow 2 40 23.4 51.7 93.2 17.7 Moderate 4 41 24.1 53.3 96.1 18.3 Slow 2 42 24.8 54.8 99 18.9 Fast 6 43 25.4 56.4 101.9 19.5 Slow 2 44 26.1 58 104.8 20.1 Fast 6 45 26.8 59.6 107.7 20.7 Fast 6 46 27.6 61.2 110.7 21.3 Fast 6 47 28.3 62.8 113.6 22 Fast 6 48 29 64.5 119.6 22.6
  • 8. Fast 6 49 29.7 66.1 122.7 23.2 Moderate 4 50 30.4 67.8 125.7 23.9 Slow 2 51 31.1 69.4 128.8 24.5 Moderate 4 52 31.9 71.1 131.8 25.2 Moderate 4 53 32.6 72.8 134.9 25.8 Moderate 4 54 33.4 74.5 138 26.5 Slow 2 55 34.1 76.2 141.2 27.2 Fast 6 56 34.8 77.9 144.3 27.8 Moderate 4 57 35.6 79.6 147.5 28.5 Moderate 4 58 36.3 81.3 148 29.2 Slow 2 59 37.1 83 150.6 29.9 Slow 2 Moderate 4 Slow 2 Slow 2 Moderate 4 Fast 6 Fast 6 Fast 6 Slow 2 Fast 6 Fast 6 Moderate 4 Moderate 4 Slow 2 Moderate 4 Slow 2 Slow 2 Fast 6 Fast 6 Fast 6 Fast 6 Fast 6 Slow 2 Fast 6 Fast 6 Moderate 4 Fast 6 Fast 6 Moderate 4 Moderate 4 Slow 2 Moderate 4 Moderate 4 Slow 2 Moderate 4 Fast 6 Fast 6 Fast 6 Fast 6
  • 9. Fast 6 Fast 6
  • 10. moderate fast Location Small Medium Large Distance Fuel Type 1 1.4 East 0 3 11 Close Coal 1.5 2.2 West 6.5 16 42 Medium Oil 2 3.1 South -4 -7.5 -8.5 Far Natural Gas 2.5 4.1 North 0 0 0 Solar Power 3.1 5.2 Wind Power 3.7 6.4 4.4 7.6 5.1 8.9 5.8 10.2 6.6 11.7 7.4 13.2 8.2 14.7 9.1 16.3 9.9 17.9 10.8 19.6 11.8 21.4 12.7 23.2 13.7 25 14.7 26.9 15.7 28.8 16.7 30.8 17.8 32.8 18.9 34.9 20 37 21.1 39.1 22.2 41.3 23.4 43.5 24.6 45.7 25.8 48 27 50.3 28.2 52.7 29.5 55.1 30.7 57.5 32 59.9 33.3 62.4 34.7 64.9 36 67.5 37.3 70.1 38.7 72.7 40.1 75.3 41.5 78 42.9 80.7 44.3 83.4 45.8 86.2 47.2 89 48.7 91.8 50.2 94.7 51.7 97.5 53.2 100.4
  • 11. 54.8 103.4 56.3 106.3 57.9 109.3 59.4 112.3 60.1 115.4 62.6 118.4 64.2 121.5 65.9 124.6 67.5 127.8 69.2 130.9 70.8 134.1
  • 12.
  • 13. Tree ID Tree Type Growth Conditions Growth Factor Age Estimate DBH Future 1 Err:504 0.8 6 72 12.17 2 Err:504 0.8 4 40 10.25 3 Err:504 1 2 44 22.50 4 Err:504 1 6 132 22.17 5 Err:504 0.8 6 120 20.17 6 Err:504 0.5 4 80 20.25 7 Err:504 1 4 120 30.25 8 Err:504 1 4 56 14.25 9 Err:504 1 6 48 8.17 10 Err:504 0.8 6 42 7.17 11 Err:504 FALSE #N/A #N/A #N/A 12 Err:504 FALSE #N/A #N/A #N/A 13 Err:504 FALSE #N/A #N/A #N/A 14 Err:504 FALSE #N/A #N/A #N/A 15 Err:504 FALSE #N/A #N/A #N/A 16 Err:504 FALSE 0 0 Err:503 17 Err:504 FALSE 0 0 Err:503 18 Err:504 FALSE 0 0 Err:503 19 Err:504 FALSE 0 0 Err:503 20 Err:504 FALSE 0 0 Err:503
  • 14. Savings (dollars) Carbon Dioxide removed (lbs $1,500.0 2,000.0 1,750.0 $1,250.0 1,500.0 $1,000.0 1,250.0 $750.0 1,000.0 $500.0 750.0 $250.0 500.0 250.0 $0.0 Pollution Sav- Runoff Savings CO2 Savings 0.0 ings CO2 (lbs)
  • 15. bon Dioxide removed (lbs)Home Energy Savings (dollars) ,000.0 $300.0 ,750.0 $250.0 ,500.0 $200.0 ,250.0 ,000.0 $150.0 750.0 $100.0 500.0 $50.0 250.0 0.0 $0.0 CO2 (lbs) Column S
  • 16. Carbon Dioxide removed (lbs) 25,000.0 22,500.0 20,000.0 17,500.0 15,000.0 12,500.0 10,000.0 7,500.0 5,000.0 2,500.0 0.0 CO2 (lbs)