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License
This free software is licensed under a "Attribution-NonCommercial-NoDerivativFor details please see
Warranty disclaimer (Copyright (c) 2010, [Unilever UK Limited])
General Use
Contents of this Calculator
http://creativecommons.org/licenses/by-nc-nd/3.0/
This is a development version which will not be supported once the next versiodevelopment purposes; or if you want to have a bespoke version or get adviso"[email protected]" with the words "Cool Farm Tool" in th
The above copyright notice and the remainder of this notice shall be included iand associated documentation files (the Software) and applies in addition to tLicence under which the Software is provided.
This Software is provided by [Unilever UK Limited] (Unilever) in good faith onauthors make any representations or warranties, express or implied, about the
therein, and will not be held liable in any way for your use of the Software. ExUnilever and the other authors disclaim all warranties, express or implied, inclufitness for a particular purpose. Unilever and all affiliated companies and indiviextent permitted by law all liability in contract or tort (including negligence) or oand consequential damages, losses and expenses whatsoever including lossgoodwill or reputation arising out of or in any way connected with the use of thresults or any output created as a result of the use of the Software.
Furthermore Unilever and the other authors make no representations or warrathe Software will meet your requirements; (ii) access to Software will be unintetrojan horses or other harmful components, or that the Software will be free of
that may be obtained from the use of the Software will be accurate or reliable;Unilever or any of the other authors) assume the entire cost of all servicing, recomputer equipment and software as a result of any viruses, errors or any othof downloading the Software. Accordingly you are strongly recommended to tadownloading the Software.
1. General Information: Location, Climate, Farm Size2. Crop Management: agricultural operations, crop protection, fertili
The Cool Farm ToolVersion 1.1 - beta 1
HOME CROPS SEQUESTRATION ELIVESTOCKGENERAL
on this page:
(website)
1. License 2. Disclaimer 3. General Use 4. Credits
YOUR RESULTS SO F
by land a
by produc
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Legend
xyz A light orange cell color indicates a p
xyz An asterisk (*) and/or a dark orange i
xyz
Data entry and editing
You may complete whichever sections you have data for, bearing inanalyses are only available when the relevant input sections are co
CreditsThis spreadsheet was produced by Jon Hillier at the University of Aberdeen. C
Significant contibutions fromChristof Walter, Tirma Garcia-Suarez, Llorenc Mila-i-canals (UnilevePete Smith (University of Aberdeen)Daniella Malin, Stephanie Daniels, Christina Ingersoll, Jessica MullaTobias Bandel (Soil & More)David Hohenschau (EcoPlan International)
It is a development of the Cool Farm Tool Version 1.0 based on
Which in turn built on the original Unilever GHG calculator by Helen Bentley-F
3. Sequestration: changes to longer term carbon stocks in the syst4. Livestock: feed mix, enteric fermentation, N excretion, manure m5. Field energy use: irrigation, farm machinery, etc6. Primary processing: factory storage, etc7. Transport: by road, rail, ship, or air, of produce from the farm8. Results and Graphs: detailed summary of results from your inpu9. Default Factors: This page includes editable default values.
Average AnnualTemperature
Average AnnualTemperature*
Average annualtemperature
Areas enclosed by a dashed green bfor this entry value. Click on these baccess additional information.
Some worksheets are locked by default to prevent users from accidepassword to unlock them is "StayCool"
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es" creative commons license
n is out. If you want to modify it for academic orry and other value added services, please send email to
subject line.
all copies or substantial portions of this softwarehe terms of the Creative Commons Public
an as is basis. Neither Unilever nor any of theSoftware or the material contained or referred to
ept to the extent provided by the applicable law,ding implied warranties of merchantability anduals, and the other authors, exclude to the fullest
therwise for any direct, indirect, incidental, specialf business, anticipated savings revenues, profits,Software or as a result of reliance upon the
ties, express or implied, that (i) the operation ofrrupted, timely, secure, free of viruses, worms,defects or errors; (iii) the results or any outputs
or (iv) defects will be corrected. You (and notair, or correction that may be necessary for yourr problems whatsoever you may have as a result
ke all appropriate safeguards before using or
ser use, etc
ERGY USE PROCESSING TRANSPORT RESULTS
0.00 kg CO2 eq per tonne
R
0.00 kg CO2 eq per hectarerea:ion:
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lace for you to input a value
put cell indicates a mandatory input value
mind that some of thepleted.
ommissioned by Unilever.
)
, Hal Hamilton (Sustainable Food Lab)
1.0284 now: 1.1
x and Christof Walter
management
.
x indicate that more information is avialablexes or hover your mouse over them to
ntly overwriting calculations - the
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Location Location
Year
Country/U.S. State* [Select]
Default Unit system Metric
Area Product
Production Area*
ClimateClimate* Temperate
10.00
Fresh product fromproduction area*
Finished product fromtotal area*
Average annualtemperature (if known)
General Info
HOME CROPS SEQUESTRATION LIVESTOGENERAL
on this page: 1. Location 2. Area 3. Climate
YOUR RES
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Unit
hectares
tonnes
tonnes
Unit Default Temp.
C 10C
Remember: Cellsoutlined in green will
pop-up with moreinformation if you click
on them
ENERGY USE PROCESSINGCK TRANSPORT RESULTS
0.00 kg CO2 eq per tonne
ULTS SO FAR
0.00 kg CO2 eq per hectareby land area:by production:
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Unit systems
[Select] 1 [Select]
Metric 1 hectares
U.S. 2 acres
0 Developed/developing 0
[Select] 0 Fill in Field management cell
- Albania 1 Eastern Europe
- Algeria 2 Africa
- Angola 3 Africa
- Argentina 4 Latin America
- Armenia 5 Asia
- Australia 6 Oceania
- Austria 7 Western Europe
- Azerbaijan 8 Asia
- Bahrain 9 Middle East
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- Bangladesh 10 Indian Subcontinent
- Belarus 11 Eastern Europe
- Belgium 12 Western Europe
- Benin 13 Africa
- Bolivia 14 Latin America
- Bosnia & Herzegovina 15 Eastern Europe
- Brazil 16 Latin America
- Brunei Darussalam 17 Asia
- Bulgaria 18 Eastern Europe
- Cameroon 19 Africa
- Canada 20 North America
- Chile 21 Latin America
- China, People's Rep. of 22 Asia
- Chinese Taipei 23 Asia
- Colombia 24 Latin America
- Congo Dem. Rep. 25 Africa
- Costa Rica 26 Latin America
- Cote d'Ivoire 27 Africa
- Croatia 28 Eastern Europe
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- Cuba 29 Latin America
- Cyprus 30 Western Europe
- Czech Republic 31 Western Europe
- Denmark 32 Western Europe
- Dominican Republic 33 Latin America
- Ecuador 34 Latin America
- Egypt 35 Africa
- El Salvador 36 Latin America
- Eritrea 37 Africa
- Estonia 38 Eastern Europe
- Ethiopia 39 Africa
- Finland 40 Western Europe
- France 41 Western Europe
- Gabon 42 Africa
- Georgia 43 Asia
- Germany 44 Western Europe
- Ghana 45 Africa
- Greece 46 Western Europe
- Guatemala 47 Latin America
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- Haiti 48 Latin America
- Honduras 49 Latin America
- Hong Kong (China) 50 Asia
- Hungary 51 Western Europe
- Iceland 52 Western Europe
- India 53 Indian Subcontinent
- Indonesia 54 Asia
- Iran Islamic Rep. 55 Middle East
- Iraq 56 Middle East
- Ireland 57 Western Europe
- Israel 58 Middle East
- Italy 59 Western Europe
- Jamaica 60 Latin America
- Japan 61 Asia
- Jordan 62 Middle East
- Kazakhstan 63 Asia
- Kenya 64 Africa
- Korea, Dem Rep. of 65 Asia
- Korea, Rep. of 66 Asia
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- Kuwait 67 Middle East
- Kyrgyzstan 68 Asia
- Latvia 69 Eastern Europe
- Lebanon 70 Middle East
- Libya 71 Africa
- Lithuania 72 Eastern Europe
- Luxembourg 73 Western Europe
- Malaysia 74 Asia
- Malta 75 Western Europe
- Mexico 76 North America
- Moldova 77 Eastern Europe
- Morocco 78 Africa
- Mozambique 79 Africa
- Myanmar 80 Asia
- Namibia 81 Africa
- Nepal 82 Indian Subcontinent
- Netherlands 83 Western Europe
- Netherlands Antilles 84 Latin America
- New Zealand 85 Oceania
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- Nicaragua 86 Latin America
- Nigeria 87 Africa
- Norway 88 Western Europe
- Oman 89 Middle East
- Pakistan 90 Indian Subcontinent
- Panama 91 Latin America
- Paraguay 92 Latin America
- Peru 93 Latin America
- Philippines 94 Asia
- Poland 95 Eastern Europe
- Poland 96 Western Europe
- Portugal 97 Western Europe
- Qatar 98 Middle East
- Romania 99 Eastern Europe
- Russia 100 Asia
- Saudi Arabia 101 Middle East
- Senegal 102 Africa
- Serbia & Montenegro 103 Eastern Europe
- Singapore 104 Asia
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- Slovak Republic 105 Western Europe
- Slovenia 106 Eastern Europe
- South Africa 107 Africa
- Spain 108 Western Europe
- Sri Lanka 109 Indian Subcontinent
- Sudan 110 Africa
- Sweden 111 Western Europe
- Switzerland 112 Western Europe
- Syria 113 Middle East
- Tajikistan 114 Asia
- Tanzania United Rep. 115 Africa
- Thailand 116 Asia
- The former Yugoslav Re 117 Eastern Europe
- Togo 118 Africa
- Trinidad & Tobago 119 Latin America
- Tunisia 120 Africa
- Turkey 121 Western Europe
- Turkmenistan 122 Asia
- Ukraine 123 Eastern Europe
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- United Arab Emirates 124 Middle East
- United Kingdom 125 Western Europe
- United States 126 North America
-- AL 127 North America
-- AK 128 North America
-- AZ 129 North America
-- AR 130 North America
-- CA 131 North America
-- CO 132 North America
-- CT 133 North America
-- DE 134 North America
-- DC 135 North America
-- FL 136 North America
-- GA 137 North America
-- HI 138 North America
-- ID 139 North America
-- IL 140 North America
-- IN 141 North America
-- IA 142 North America
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-- KS 143 North America
-- KY 144 North America
-- LA 145 North America
-- ME 146 North America
-- MD 147 North America
-- MA 148 North America
-- MI 149 North America
-- MN 150 North America
-- MS 151 North America
-- MO 152 North America
-- MT 153 North America
-- NE 154 North America
-- NV 155 North America
-- NH 156 North America
-- NJ 157 North America
-- NM 158 North America
-- NY 159 North America
-- NC 160 North America
-- ND 161 North America
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-- OH 162 North America
-- OK 163 North America
-- OR 164 North America
-- PA 165 North America
-- RI 166 North America
-- SC 167 North America
-- SD 168 North America
-- TN 169 North America
-- TX 170 North America
-- UT 171 North America
-- VT 172 North America
-- VA 173 North America
-- WA 174 North America
-- WV 175 North America
-- WI 176 North America
-- WY 177 North America
- Uruguay 127 Latin America
- Uzbekistan 128 Asia
- Venezuela 129 Latin America
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- Vietnam 130 Asia
- Yemen 131 Middle East
- Zambia 132 Africa
- Zimbabwe 133 Africa
Africa 134 Africa
Asia 135 Asia
Central and Eastern Europ 136 Eastern Europe
China (including Hong Kon 137 Asia
Former USSR 138 Asia
Latin America 139 Latin America
Middle East 140 Middle East
North America 141 North America
Pacific 142 Asia
Rest of Europe 143 Western Europe
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[Select] [Select] [Select] [Select] [Select]
kg/ha kgs tonnes tonnes/ha hectare
pounds/acre (US) pounds tons (US, short)tons/acre acre
Per hectare - area, 0 kgs
0 0 tonnes
0 0 tons (US, short)
0 0 litres
0 0 pieces
0 0 trees
0 0 gallons
0 1 pounds
0 1 Unit systems
0 0 [Select] 1 [Select]
0 1 Metric 1 C
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0 0 U.S. 2 F
0 0
0 1 [Select]
0 0 Temperate
0 0 Tropical
0 0
0 0
0 0
0 0
0 0
0 1
0 0
0 0
0 1
0 0
0 0
0 0
0 0
0 0
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0 0
0 1
0 1
0 1
0 0
0 0
0 0
0 0
0 0
0 0
0 0
0 1
0 1
0 0
0 0
0 1
0 0
0 1
0 0
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0 0
0 0
0 1
0 0
0 1
0 0
0 0
0 0
0 0
0 1
0 1
0 1
0 0
0 1
0 0
0 0
0 0
0 0
0 1
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0 1
0 0
0 0
0 0
0 0
0 0
0 1
0 0
0 1
0 0
0 0
0 0
0 0
0 0
0 0
0 0
0 1
0 0
0 1
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0 1
0 1
0 0
0 1
0 0
0 0
0 1
0 1
0 0
0 0
0 0
0 0
0 0
0 0
0 0
0 0
0 0
0 0
0 0
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0 1
0 1
0 1
0 1
0 1
0 1
0 1
0 1
0 1
0 1
0 1
0 1
0 1
0 1
0 1
0 1
0 1
0 1
0 1
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0 1
0 1
0 1
0 1
0 1
0 1
0 1
0 1
0 1
0 1
0 1
0 1
0 1
0 1
0 1
0 1
0 1
0 1
0 1
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0 1
0 1
0 1
0 1
0 1
0 1
0 1
0 1
0 1
0 1
0 1
0 1
0 1
0 1
0 1
0 1
0 0
0 0
0 0
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Data entry checking
#REF! #REF!
FALSE TRUE
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#REF!
#REF!
FALSE
FALSE Enter value a
FALSE
FALSE
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Fertiliser type, nutrient(or product), amount, units, and method must all be entered
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Crop typeCrop type* [Select]
Soil
Soil texture* [Select]
Soil Organic Matter* [Select or enter exact amount]
Soil moisture* [Select]Soil drainage* [Select]
Soil pH* [Select]
Fertiliser
Fertiliser UseFertiliser 1 [Select]
Fertiliser 2 [Select]
Fertiliser 3 [Select]
Fertiliser 4 [Select]
Fertiliser 5 [Select]
Fertiliser 6 [Select]
Number of applications
Nutrient orproduct
For the soil carboneffect of organic
amendments to beestimated you mustalso complete therelevant section of
the sequestrationtab.
Pesticideapplications
Crop Management
HOME CROPS SEQUESTRATION ENLIVESTOCKGENERAL
on this page: 1. Production 2.Soil 3. FertiliserUse 4. PesticideApplications 5. Crop ResidueManagement
YOUR RESULTS SO FA
by land ar
by producti
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Unit
Amount of residue tonnes/ha
Method
CO2 N2O CH4
0.0
0.0 0.0
0
Agrochemicals 0.0
0.00 0.0
0.0 0.0 0.0
Crop residuemanagement (if this
section is notcompleted then the
worst case -
"Removed; leftuntreated" is
assumed)
Left on field; Incorporated ormulch
Estimatedemissions
Fertiliserproduction
Fertiliser inducedfield emissions
Methane fromPaddy Rice
Crop residuemanagement
Totals (kg
CO2 eq)
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Mandatory Data En
Rice only Rice
Rice
Rice
Application rate
kg/ha None
kg/ha None
kg/ha None
kg/ha None
kg/ha None
kg/ha None
Unit (e.g.tonnes, kgs,pounds)
Applicationmethod
Emissionsinhibitors
RGY USE PROCESSING TRANSPORT RESULTS
6. Crop ManagementResults
0.00 kg CO2 eq per tonne
R
0.00 kg CO2 eq per hectarea:n:
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Rice only Rice #VALUE!
kg CO2 eq
0.00
0.00
0.00
0.00
0.00
0.00
default residuetonnes/ha
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try Check
0
0
0
0
0
0
weighted inhibitor
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zero emissions compost used?
00
0
00
0
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0
Composted residues?
0
0
0
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Soil CEC (estimated
NO inhibitor index N2O inhibitor index application rate in kilos index key for Fert
1 1 0 0
1 1 0 0
1 1 0 0
1 1 0 0
1 1 0 0
1 1 0 0
1 1
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Totals (kg CO2 eq) 0
0 Table
0 Dry matter fraction harv
0 residue in tonnes if entered #VALUE!
0 yield t/ha #DIV/0!
0 Above ground residue (t/ha) #VALUE!
0
N therin #VALUE!
Below ground residue #VALUE!
N therin #VALUE!
CH4Tonnes of residue #VALUE!
1
Methane correction factor 0DOCF 1
F 1
00
Non-fertiliser induced N2O
From below ground residues #VALUE!
Dry matterfraction harvested
Decomposable organiccarbon
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From above ground residues #VALUE!
#VALUE!
tonnes/ha
kg CO2 eq 1.0000
tonnes CO2 eq 0.0010
pounds CO2 eq 2.2010tons CO2 eq 0.0011
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Ogle classification Bouwman model indices
Temperate-[Select] 00
0
#VALUE!
#VALUE! #VALUE!#N/A
#N/A
application method key Index key for fe fertiliser amount, in kgs concentration %
0 0 0 0%
0 0 0 0%
0 0 0 0%
0 0 0 0%
0 0 0 0%
0 0 0 0%
Sub-Totals, com
Sub-Totals, N2O
Total
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slope intercept N content - above ground below:above ratio
slope intercept N content - above ground below:above ratio
1
N20#VALUE!
1
01
1
0
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0
Rice
days under cultiva
water manageme
water manageme
Organic amendm""
Rice
Timing
Baseline EF
Overal CH4 emiss
CF
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N2O-0.41
ClimateCroptype
SoilTexture
#VALUE!
#VALUE!#N/A
#N/A
N
0.00000 0 0
0.00000 0 0
0.00000 0 0
0.00000 0 0
0.00000 0 0
0.00000 0 0
ounds 0.000
0.000
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N content below 0
N content below
0 0
0 0
Removed; left untreated in heaps or pits 0.04
Removed; non-Forced Aeration Compost 0
Removed; Forced Aeration Compost 0
Left on field; Incorporated or mulch 0
Burned 0
Exported off farm 0
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tion Rice
t before cultivation Rice
t during cultivation RiceType Amount
nt Green manureCompost
[Select]
Straw incorporated more than 30 days bef #VALUE!
Straw incorprated shortly before cultivation #VALUE!
1.3 kg CH4/ha/day
EF
CH4
ions #VALUE!
10 150 1.8 32
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NO NH4-volatilisation Leaching-1.53 0
Climate ClimateCroptype Croptype
SoilTexture SoilTexture
#VALUE! #VALUE!
#VALUE! #VALUE!#N/A #N/A
#N/A #N/A
0 0 0.00000
0 0 0.00000
0 0 0.00000
0 0 0.00000
0 0 0.00000
0 0 0.00000
0.000 0.000 0.000
0 0.000 0.000
0.000
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Methane emissions (for default use IPCC method for small heaps
0
0
0
0
0
#N/A
0
0
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0
0
00
#VALUE!
#VALUE!
#VALUE!
#VALUE!
Co2-equiv/ha
0
10.00 10
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Yield/per unit area stuff0
00
Embodied CO2 FYM applied Compost applied CaCO3 applied
0 0 0 0
0 0 0 0
0 0 0 0
0 0 0 0
0 0 0 0
0 0 0 0
0 0 0 0
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[Select] During cultivationUpland 0
Continuously flooded 1
Intermittently flooded 0.6Intermittently flooded - multiple aerati 0.52
Rainfed 0.28Drought prone 0.25
Deep water 0.31
[Select] Before cultivation
Not flooded pre-season (for less than 1
Not flooded pre-season (for more tha 0.68
Flooded pre-season 1.9
Organic amendment applied
Straw (shortly before cultivation) 1
Straw (more than 30 days before cult 0.29
Compost 0.05Farmyard Manure 0.14
Green manure 0.5
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Urea applied missions from liminEmissions from Urea NO inhibition N2O inhibition
0 0 0 0 0
0 0 0 0 0
0 0 0 0 0
0 0 0 0 0
0 0 0 0 0
0 0 0 0 0
0 0 0 0 0
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Area conversionshectares
acres
Quantity conversions
[Select]
kgs
tonnes
tons (US, short)
litres
pieces
trees
gallons
pounds
CH4 from organicamendments for
paddy rice
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tonnes/acre tonnes/acre
tonnes/ha tonnes/ha
kg/ha kg/ha
kg/acre kg/acre
tons/acre pounds/ha (US)
pounds/acre (US)
ounces/ha (US)
ounces/acre (US)
fluid ounces/ha (US)
fluid ounces/acre (US)
tons/acre
Unit systems
[Select] 1
Metric 1
U.S. 2
[Select]
Ammonium Bicarbonate - 3Ammonium nitrate - 35% N
Ammonium sulphate - 21%
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Ammonium sulphate nitrate
Anhydrous ammonia - 82%
Calcium ammonium nitrate
Calcium nitrate - 15% N
Compound NK - 19.5% N;
Compound NPK 15%N 15
Diammonium phosphate - 1Kainit / Magnesium Sulphat
Lime - 52% CaO
Limestone - 55% CaCO3 /
Lime, algal - 30% CaO
Monoammonium phosphat
Muriate of potash / Potassi
Phosphate/Rock Phosphat
Potassium sulphate - 50%
Super phosphate - 21% P2
Triple super phosphate - 48Urea - 46.4% N
Urea ammonium nitrate sol
Compost (zero emissions) -Compost (fully aerated pro
Compost (non-fully aeratedCattle Farmyard manure - 0
Pig Farmyard manure - 0.7
Sheep Farmyard manure -
Horse Farmyard Manure -
Poultry layer manure - 1.9
Broiler/Turkey litter - 3% N
Cattle Slurry - 0.26% N
Pig slurry - 0.36% N
Separated Pig slurry - liquid
Separated Pig slurry - solid
First fertilizer name
straw
[Select]
NPKP2O5K2OMgONa2OCaCaOCaCO3SO3
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Product
[Select]
Temperate Temperate-Moist
Temperate Temperate-DryTropical Tropical-Moist
Tropical Tropical-Dry
[Select]
CEC
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Index [Select]
1 Alfalfa2 Barley
3 Clover
4 Coffee
5 Dry Bean6 Grass-clover mix
7 Maize8 Millet
9 Oats
10 Peanut11 Perennial grass
12 Potato13 Rice
14 Rye15 Sorghum16 Soyabean
17 Spring wheat
18 Tomato
19 Tree Crop
20 Winter wheat
21 Other grain
22 Other legume
23 Other N-fixing forage
24 Other Non-N-fixing forage
25 Other root crops26 Other tuber crop
27 Other28 Vegetable
N20 emissions inhibitors
0 None
1 Nitrification inhibitor
2 polymer coated
N0 emissions inhibitors
0 None
1 Nitrification inhibitor2 polymer coated
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1 hectares hectare 1
0.41 acres acre 2
Conversion factor to tonnes
0 finished produkilogram 1
1 finished produtonne 2
0.91 finished produton 3
0 finished produlitre 4
1 piece 5
1 tree 6
0 gallon 7
0 pound 8
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2470
1000
1
2.47
0.45
1.12
0.03
0.07
0.03
0.07
2240.75
[Select] [Select] [Select] [Select] [Select] [Select] [Select]
hectares kg/ha kgs tonnes tonnes/ha hectare litres
acres pounds/acre ( pounds tons (US, sho tons/acre acre US Gallons
Nutrient index Bouwman index Synth, manure, compost
#N/A #N/A #N/A
1 1 02 2 0
3 3 0
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4 4 0
5 5 0
6 6 0
7 7 0
8 8 0
9 9 0
10 10 011 11 0
12 12 3
13 13 3
14 14 3
15 15 0
16 16 0
17 17 0
18 18 0
19 19 0
20 20 021 21 0
22 22 0
23 23 224 24 2
25 25 226 26 1
27 27 1
28 28 1
29 29 1
30 30 1
31 31 1
32 32 1
33 33 1
34 34 1
35 35 1
36 36 037 37 0
38 38 0
39 39 0
40 40
#N/A
12
3
45
67 Temperature units
8 C
9 F
10
11
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12
#N/A [Select] #N/A
1 0.3 10 pH
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Gross classificationBouwman equIs it rice
Alfalfa Other crop 0Grain Other crop 0
N-fixing forage Legume 0
Tree Crop Other crop 0
Beans & pulses Legume 0Grass-clover mix Legume 0
Grain Other crop 0Grain Other crop 0
Grain Other crop 0
Beans & pulses Legume 0Perennial grass Grass 0
Tuber Other crop 1Grain Wetland rice 0
Grain Other crop 0Grain Other crop 0Beans & pulses Grass-clover 0
Grain Other crop 0
Tomato Other crop 0
Tree Crop Other crop 0
Grain Other crop 0
Grain Other crop 0
Beans & pulses Legume 0
N-fixing forage Legume 0
Non-N-fixing forag Other crop 0
Root crop Other crop 0Tuber Other crop 0
Other Other crop 0Vegetable Other crop 0
1 2
Grass upland
1 1
0.4 0.63
0.23 1
1 2
Grass upland1 1
0.54 0.540.6 0.6
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Developed/developing
[Select] 0 Fill in Fiel- Albania 1 Eastern E
- Algeria 2 Africa
- Angola 3 Africa
- Argentina 4 Latin Am
- Armenia 5 Asia
- Australia 6 Oceania
- Austria 7 Western
- Azerbaijan 8 Asia
- Bahrain 9 Middle Ea
- Bangladesh 10 Indian Su
- Belarus 11 Eastern E
- Belgium 12 Western
- Benin 13 Africa
- Bolivia 14 Latin Am
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- Bosnia & He 15 Eastern E
- Brazil 16 Latin Am
- Brunei Daru 17 Asia
- Bulgaria 18 Eastern E--
- Chile 21 Latin Am
- China, Peop 22 Asia
- Chinese Tai 23 Asia
- Colombia 24 Latin Am
- Congo Dem 25 Africa
- Costa Rica 26 Latin Am
- Cote d'Ivoir 27 Africa
- Croatia 28 Eastern E
- Cuba 29 Latin Am
- Cyprus 30 Western
- Czech Repu 31 Western
- Denmark 32 Western
- Dominican 33 Latin Am
- Ecuador 34 Latin Am
- Egypt 35 Africa
- El Salvador 36 Latin Am- Eritrea 37 Africa
- Estonia 38 Eastern E
- Ethiopia 39 Africa- Finland 40 Western
- France 41 Western
- Gabon 42 Africa- Georgia 43 Asia
- Germany 44 Western
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- Ghana 45 Africa
- Greece 46 Western
- Guatemala 47 Latin Am
- Haiti 48 Latin Am
- Honduras 49 Latin Am
- Hong Kong 50 Asia
- Hungary 51 Western- Iceland 52 Western
- India 53 Indian Su
- Indonesia 54 Asia
- Iran Islamic 55 Middle Ea
- Iraq 56 Middle Ea
- Ireland 57 Western
- Israel 58 Middle Ea
- Italy 59 Western
- Jamaica 60 Latin Am
- Japan 61 Asia- Jordan 62 Middle Ea
- Kazakhstan 63 Asia
- Kenya 64 Africa- Korea, Dem 65 Asia
- Korea, Rep. 66 Asia- Kuwait 67 Middle Ea
- Kyrgyzstan 68 Asia
- Latvia 69 Eastern E
- Lebanon 70 Middle Ea
- Libya 71 Africa
- Lithuania 72 Eastern E
- Luxembourg 73 Western
- Malaysia 74 Asia
- Malta 75 Western
- Mexico 76 North Am
- Moldova 77 Eastern E- Morocco 78 Africa
- Mozambiqu 79 Africa
- Myanmar 80 Asia
- Namibia 81 Africa- Nepal 82 Indian Su
- Netherlands 83 Western
- Netherlands 84 Latin Am
- New Zealan 85 Oceania- Nicaragua 86 Latin Am
- Nigeria 87 Africa- Norway 88 Western
- Oman 89 Middle Ea
- Pakistan 90 Indian Su- Panama 91 Latin Am
- Paraguay 92 Latin Am- Peru 93 Latin Am
- Philippines 94 Asia
- Poland 95 Eastern E
- Poland 96 Western
- Portugal 97 Western
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- Qatar 98 Middle Ea
- Romania 99 Eastern E
- Russia 100 Asia
- Saudi Arabi 101 Middle Ea
- Senegal 102 Africa
- Serbia & Mo 103 Eastern E
- Singapore 104 Asia- Slovak Rep 105 Western
- Slovenia 106 Eastern E
- South Africa 107 Africa
- Spain 108 Western- Sri Lanka 109 Indian Su
- Sudan 110 Africa- Sweden 111 Western
- Switzerland 112 Western
- Syria 113 Middle Ea- Tajikistan 114 Asia
- Tanzania U 115 Africa- Thailand 116 Asia
- The former 117 Eastern E- Togo 118 Africa- Trinidad & T 119 Latin Am
- Tunisia 120 Africa
- Turkey 121 Western
- Turkmenista 122 Asia
- Ukraine 123 Eastern E
- United Arab 124 Middle Ea
- United King 125 Western
- United State 126 North Am
-- AL 127 North Am
-- AK 128 North Am-- AZ 129 North Am
-- AR 130 North Am-- CA 131 North Am-- CO 132 North Am
-- CT 133 North Am-- DE 134 North Am
-- DC 135 North Am
-- FL 136 North Am
-- GA 137 North Am
-- HI 138 North Am
-- ID 139 North Am
-- IL 140 North Am
-- IN 141 North Am
-- IA 142 North Am
-- KS 143 North Am-- KY 144 North Am
-- LA 145 North Am
-- ME 146 North Am-- MD 147 North Am
-- MA 148 North Am-- MI 149 North Am
-- MN 150 North Am
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-- MS 151 North Am
-- MO 152 North Am
-- MT 153 North Am
-- NE 154 North Am
-- NV 155 North Am
-- NH 156 North Am
-- NJ 157 North Am-- NM 158 North Am
-- NY 159 North Am
-- NC 160 North Am
-- ND 161 North Am-- OH 162 North Am
-- OK 163 North Am-- OR 164 North Am
-- PA 165 North Am
-- RI 166 North Am-- SC 167 North Am
-- SD 168 North Am-- TN 169 North Am
-- TX 170 North Am-- UT 171 North Am-- VT 172 North Am
-- VA 173 North Am
-- WA 174 North Am
-- WV 175 North Am
-- WI 176 North Am
-- WY 177 North Am
- Uruguay 127 Latin Am
- Uzbekistan 128 Asia
- Venezuela 129 Latin Am
- Vietnam 130 Asia- Yemen 131 Middle Ea
- Zambia 132 Africa- Zimbabwe 133 Africa
Africa 134 Africa
Asia 135 AsiaCentral and E 136Eastern E
China (includi 137 Asia
Former USSR 138 Asia
Latin America 139 Latin Am
Middle East 140 Middle Ea
North America 141 North Am
Pacific 142 Asia
Rest of Europ 143 Western
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Per hectare - area, yield
d management cell C5!0 0
0
0
rica 0
0
1
urope 1
0
st 1
bcontinent 0
urope 0
urope 1
0
rica 0
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urope 0
rica 0
0
urope 0
rica 0
0
1
rica 0
0
rica 0
0
urope 0
rica 0
urope 1
urope 1
urope 1
rica 0
rica 0
0
rica 00
urope 0
0urope 1
urope 1
00
urope 1
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0
urope 1
rica 0
rica 0
rica 0
1
urope 0urope 1
bcontinent 0
0
st 0
st 0
urope 1
st 1
urope 1
rica 0
1st 0
0
00
1st 1
0
urope 0
st 0
0
urope 0
urope 1
0
urope 1
erica 0
urope 00
0
0
0bcontinent 0
urope 1
rica 0
1rica 0
0urope 1
st 0
bcontinent 0rica 0
rica 0rica 0
0
urope 0
urope 0
urope 1
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st 0
urope 0
0
st 0
0
urope 0
1urope 1
urope 1
0
urope 1bcontinent 0
0urope 1
urope 1
st 00
00
urope 00
rica 0
0
urope 0
0
urope 0
st 1
urope 1
erica 1
erica 1
erica 1erica 1
erica 1erica 1erica 1
erica 1erica 1
erica 1
erica 1
erica 1
erica 1
erica 1
erica 1
erica 1
erica 1
erica 1erica 1
erica 1
erica 1erica 1
erica 1erica 1
erica 1
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erica 1
erica 1
erica 1
erica 1
erica 1
erica 1
erica 1erica 1
erica 1
erica 1
erica 1erica 1
erica 1erica 1
erica 1
erica 1erica 1
erica 1erica 1
erica 1erica 1erica 1
erica 1
erica 1
erica 1
erica 1
erica 1
rica 0
0
rica 0
0st 0
000
00 0
0
0
rica 0
st 0
erica 0
0
urope 0
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Fertiliser cells completed
FALSE FALSE FALSE TRUE FALSE
FALSE FALSE FALSE TRUE FALSE
FALSE FALSE FALSE TRUE FALSE
FALSE FALSE FALSE TRUE FALSE
FALSE FALSE FALSE TRUE FALSE
FALSE FALSE FALSE TRUE FALSE
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FALSE
FALSE
FALSE
FALSE
TRUE
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TRUE Enter value a
TRUE
TRUE
TRUE
All TRUE All FALSE Either all true or all false
FALSE TRUE TRUE TRUE 0
FALSE TRUE TRUE FALSE 1
FALSE TRUE TRUE
FALSE TRUE TRUE
FALSE TRUE TRUE
FALSE TRUE TRUE
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States in US Pounds CO2 Kg CO2 eq per kwh
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Tree species 9 [select]
Tree species 10 [select]
Annual totals kg CO2 eq
Above ground biomass 0
Below ground biomass 0
Soil C 0
Total 0
Stuff in red below is what we would need from partners for tree species of interest
[select] inCONSTANT DBH DBH^Y power
coffee (arabica) # 0.07 1.99 0
shade (Cordia alli # 0.15 2.22 0
Tropical Moist Ha # -2.29 2.65 2
Tropical wet hard # 21.3 -6.95 2temperate/tropical#
temperate US ea #
palm(Chrysophyll #
palm (Attalea coh #
palm (Sabal sp) #
palm(Attalea phal #
palm (Euterpe pre#
palm (Phenakosp #
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%
%
%
%%
this year last year units
0 0 cm 0
0 0 cm 0
0 0 cm 0
0 0 cm 0
0 0 cm 0
0 0 cm 0
0 0 cm 0
0 0 cm 0
Percentage offield converted
Percentage ofland withpracticechange
change innumber of tree
this year
ENERGY USE PROCESSING TRANSPORT RESULTS
4. SequestrationResults
0.00 kg CO2 eq per tonne
TS SO FAR
0.00 kg CO2 eq per hectareby land area:y production:
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d tropical wetropical/temperat temperatepalm(Chrysophyllpalm ( palm (Sabal sp)
21.3 0.89 0.5 0.18 10.86 24.56
21.3 0.89 0.5 0.18 10.86 24.56
21.3 0.89 0.5 0.18 10.86 24.56
21.3 0.89 0.5 0.18 10.86 24.56
21.3 0.89 0.5 0.18 10.86 24.56
21.3 0.89 0.5 0.18 10.86 24.56
21.3 0.89 0.5 0.18 10.86 24.56
21.3 0.89 0.5 0.18 10.86 24.56
21.3 0.89 0.5 0.18 10.86 24.56
21.3 0.89 0.5 0.18 10.86 24.56
21.3 0.89 0.5 0.18 10.86 24.5621.3 0.89 0.5 0.18 10.86 24.56
21.3 0.89 0.5 0.18 10.86 24.56
21.3 0.89 0.5 0.18 10.86 24.56
21.3 0.89 0.5 0.18 10.86 24.56
21.3 0.89 0.5 0.18 10.86 24.56
21.3 0.89 0.5 0.18 10.86 24.56
21.3 0.89 0.5 0.18 10.86 24.56
21.3 0.89 0.5 0.18 10.86 24.56
21.3 0.89 0.5 0.18 10.86 24.56
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Soil emiss
0
Amount ap
#DIV/0!#DIV/0!
#DIV/0!
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kg CO2 eq
tonnes CO
pounds C
tons CO2
diameter at 15cm from ground
diameter at breast height
diameter at breast height
diameter at breast heightdiameter at breast height
diameter at breast height
height
height
height
height
height
height
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palm(Attalea phalarata) palm (Euterpe precatoria) palm (Phenakospermun guianensis)
Err:502 Err:502 Err:502
Err:502 Err:502 Err:502
Err:502 Err:502 Err:502
Err:502 Err:502 Err:502
Err:502 Err:502 Err:502
Err:502 Err:502 Err:502
Err:502 Err:502 Err:502
Err:502 Err:502 Err:502
Err:502 Err:502 Err:502
Err:502 Err:502 Err:502
Err:502 Err:502 Err:502Err:502 Err:502 Err:502
Err:502 Err:502 Err:502
Err:502 Err:502 Err:502
Err:502 Err:502 Err:502
Err:502 Err:502 Err:502
Err:502 Err:502 Err:502
Err:502 Err:502 Err:502
Err:502 Err:502 Err:502
Err:502 Err:502 Err:502
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ions from Land Use/Management change0
#VALUE! Soil C in tonnes/ha in top 30 cm
See left previous current
Cover cropping 0 0
Compost 0 0Manure additions 0 0
Residue incorporation 0 0
trees per ha trees lost per ha Index
0 0 0
0 0 0
0 0 0
0 0 0
0 0 0
0 0 0
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0 0 0
0 0 0
0 0 0
0 0 0
1.0000 CO2 equiv CO2 equiv
0.0010 0.00 0.00
2.2010 0.00 0.00
0.0011 0.00 0.00
0.00
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Don't know Previous0 LUC facto 0
Bulk density assumed0
difference
tillage fac 0input fact 1
0
0 Compost-IF0 Fym-IF
0 Residue-IF
CO2 equivalent
DBH this year(cms) DBH last year(cms)
0 0 0 0
0 0 0 0
0 0 0 0
0 0 0 0
0 0 0 0
0 0 0 0
(kg perplant)
biomass (kgper plant)
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Tropical Moist deciduous forest Africa (20 yr) 1.3
Tropical Moist deciduous forest North America ( 20 yr) 2
Tropical Moist deciduous forest South America ( 20 yr) 2
Tropical Moist deciduous forest Asia, continental ( 20 yr) 2
Tropical Moist deciduous forest Asia, insular ( 20 yr) 3
Tropical Moist deciduous forest Europe ( 20 yr) #N/A
Tropical Moist deciduous forest New Zealand ( 20 yr) #N/A
Tropical Moist deciduous forest South Africa ( 20 yr) #N/A
Tropical Dry forest Africa (20 yr) 1.8
Tropical Dry forest North America ( 20 yr) 1
Tropical Dry forest South America ( 20 yr) 1
Tropical Dry forest Asia, continental ( 20 yr) 1.5
Tropical Dry forest Asia, insular ( 20 yr) 2
Tropical Dry forest Europe ( 20 yr) #N/A
Tropical Dry forest New Zealand ( 20 yr) #N/A
Tropical Dry forest South Africa ( 20 yr) #N/A
Tropical shrubland Africa (20 yr) 0.9
Tropical shrubland North America ( 20 yr) 1
Tropical shrubland South America ( 20 yr) 1
Tropical shrubland Asia, continental ( 20 yr) 1.3
Tropical shrubland Asia, insular ( 20 yr) 1
Tropical shrubland Europe ( 20 yr) #N/ATropical shrubland New Zealand ( 20 yr) #N/A
Tropical shrubland South Africa ( 20 yr) #N/A
Tropical Mountain systems Africa (20 yr) 1.25 *
Tropical Mountain systems North America ( 20 yr) 0.9 *
Tropical Mountain systems South America ( 20 yr) 0.9 *
Tropical Mountain systems Asia, continental ( 20 yr) 0.75 *Tropical Mountain systems Asia, insular (
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Tropical Mountain systems Asia, insular (> 20 yr) 0.75 *
Tropical Mountain systems Europe ( 20 yr) #N/A
Tropical Mountain systems New Zealand ( 20 yr) #N/A
Tropical Mountain systems South Africa ( 20 yr) #N/ASubtropical humid forest Africa (20 yr) #N/A
Subtropical humid forest North America ( 20 yr) 2
Subtropical humid forest South America ( 20 yr) 2
Subtropical humid forest Asia, continental ( 20 yr) 2
Subtropical humid forest Asia, insular ( 20 yr) 3
Subtropical humid forest Europe ( 20 yr) #N/ASubtropical humid forest New Zealand ( 20 yr) #N/A
Subtropical humid forest South Africa ( 20 yr) #N/A
Subtropical dry forest Africa (20 yr) 1.8
Subtropical dry forest North America ( 20 yr) 1
Subtropical dry forest South America ( 20 yr) 1
Subtropical dry forest Asia, continental ( 20 yr) 1.5
Subtropical dry forest Asia, insular ( 20 yr) 2
Subtropical dry forest Europe ( 20 yr) #N/A
Subtropical dry forest New Zealand ( 20 yr) #N/A
Subtropical dry forest South Africa ( 20 yr) #N/A
Subtropical steppe Africa (20 yr) #N/A
Subtropical steppe North America ( 20 yr) 1
Subtropical steppe South America ( 20 yr) 1
Subtropical steppe Asia, continental ( 20 yr) 1.3
Subtropical steppe Asia, insular ( 20 yr) 1
Subtropical steppe Europe ( 20 yr) #N/A
Subtropical steppe New Zealand ( 20 yr) #N/A
Subtropical steppe South Africa ( 20 yr) #N/A
Subtropical mountain systems Africa (20 yr) 1.25 *
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Subtropical mountain systems North America ( 20 yr) 0.9 *
Subtropical mountain systems South America ( 20 yr) 0.9 *
Subtropical mountain systems Asia, continental ( 20 yr) 0.75 *
Subtropical mountain systems Asia, insular ( 20 yr) 2 *
Subtropical mountain systems Europe ( 20 yr) #N/A
Subtropical mountain systems New Zealand ( 20 yr) #N/A
Subtropical mountain systems South Africa ( 20 yr) #N/A
Temperate Oceanic forest Africa (20 yr) #N/A
Temperate Oceanic forest North America ( 20 yr) 15
Temperate Oceanic forest South America ( 20 yr) #N/A
Temperate Oceanic forest Asia, continental ( 20 yr) #N/A
Temperate Oceanic forest Asia, insular ( 20 yr) #N/A
Temperate Oceanic forest Europe ( 20 yr) 2.3
Temperate Oceanic forest New Zealand ( 20 yr) 3.5
Temperate Oceanic forest South Africa ( 20 yr) 5.65
Temperate continental forest Africa (20 yr) #N/A
Temperate continental forest North America ( 20 yr) 4
Temperate continental forest South America ( 20 yr) #N/A
Temperate continental forest Asia, continental ( 20 yr) 4
Temperate continental forest Asia, insular ( 20 yr) #N/A
Temperate continental forest Europe ( 20 yr) 4
Temperate continental forest New Zealand ( 20 yr) #N/ATemperate continental forest South Africa ( 20 yr) #N/A
Temperate mountain systems Africa (20 yr) #N/A
Temperate mountain systems North America ( 20 yr) 3
Temperate mountain systems South America ( 20 yr) #N/A
Temperate mountain systems Asia, continental ( 20 yr) 3
Temperate mountain systems Asia, insular ( 20 yr) #N/ATemperate mountain systems Europe (
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Temperate mountain systems Europe (> 20 yr) 3
Temperate mountain systems New Zealand ( 20 yr) #N/A
Temperate mountain systems South Africa ( 20 yr) #N/A
Boreal coniferous forest Africa (20 yr) #N/ABoreal coniferous forest North America ( 20 yr) 1.1 *
Boreal coniferous forest South America ( 20 yr) #N/A
Boreal coniferous forest Asia, continental ( 20 yr) 1.1 *
Boreal coniferous forest Asia, insular ( 20 yr) #N/A
Boreal coniferous forest Europe ( 20 yr) 1.1 *
Boreal coniferous forest New Zealand ( 20 yr) #N/ABoreal coniferous forest South Africa ( 20 yr) #N/A
Boreal Tundra woodland Africa (20 yr) #N/A
Boreal Tundra woodland North America ( 20 yr) 0.4
Boreal Tundra woodland South America ( 20 yr) #N/A
Boreal Tundra woodland Asia, continental ( 20 yr) 0.4
Boreal Tundra woodland Asia, insular ( 20 yr) #N/A
Boreal Tundra woodland Europe ( 20 yr) 0.4
Boreal Tundra woodland New Zealand ( 20 yr) #N/A
Boreal Tundra woodland South Africa ( 20 yr) #N/A
Boreal mountain system Africa (20 yr) #N/A
Boreal mountain system North America ( 20 yr) 1.3 *
Boreal mountain system South America ( 20 yr) #N/A
Boreal mountain system Asia, continental ( 20 yr) 1.3 *
Boreal mountain system Asia, insular ( 20 yr) #N/A
Boreal mountain system Europe ( 20 yr) 1.3 *
Boreal mountain system New Zealand ( 20 yr) #N/A
Boreal mountain system South Africa ( 20 yr) #N/A
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Current modified current0 0
0 0
1
1.000001.00000
1.00000
above ground C cur CO2 equiv above ground C pre Losses Above ground Carb
0 0 0 0 0
0 0 0 0 0
0 0 0 0 0
0 0 0 0 0
0 0 0 0 0
0 0 0 0 0
For tillage and other inputs the modelgive a 20 year factor which we use as a
start point
For compost, residue, manure themodel gives and annual % soil
increment as the start point of our calcs
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0 0 0 0 0
0 0 0 0 0
0 0 0 0 0
0 0 0 0 0
0 0 0
Above ground biomass root shoot ratio
310 0.37
310 0.37
300 0.37300 0.37
300 0.37
300 0.37
280 0.37
280 0.37
350 0.37
350 0.37
#N/A #N/A
#N/A #N/A
#N/A #N/A
#N/A #N/A
#N/A #N/A#N/A #N/A
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260 0.2
260 0.24
220 0.2
220 0.24
220 0.2
220 0.24
180 0.2180 0.24
290 0.2
290 0.2
#N/A #N/A
#N/A #N/A
#N/A #N/A
#N/A #N/A
#N/A #N/A
#N/A #N/A
120 0.56
120 0.28
210 0.56210 0.28
210 0.56
210 0.28
130 0.56
130 0.28
160 0.56
160 0.28
#N/A #N/A
#N/A #N/A
#N/A #N/A
#N/A #N/A
#N/A #N/A
#N/A #N/A
70 0.4
70 0.4
80 0.4
80 0.4
80 0.4
80 0.4
60 0.4
60 0.4
70 0.4
70 0.4
#N/A #N/A
#N/A #N/A#N/A #N/A
#N/A #N/A
#N/A #N/A
#N/A #N/A
115 * 0.27
115 * 0.27
145 * 0.27
145 * 0.27
145 * 0.27
145 * 0.27
135 * 0.27
135 * 0.27205 * 0.27
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205 * 0.27
#N/A #N/A
#N/A #N/A
#N/A #N/A
#N/A #N/A
#N/A #N/A
#N/A #N/A#N/A #N/A
#N/A #N/A
220 0.2
220 0.24
220 0.2
220 0.24
180 0.2
180 0.24
290 0.2
290 0.24
#N/A #N/A
#N/A #N/A#N/A #N/A
#N/A #N/A
#N/A #N/A
#N/A #N/A
140 0.56
140 0.28
210 0.56
210 0.28
210 0.56
210 0.28
130 0.56
130 0.28
160 0.56
160 0.28
#N/A #N/A
#N/A #N/A
#N/A #N/A
#N/A #N/A
#N/A #N/A
#N/A #N/A
#N/A #N/A
#N/A #N/A
80 0.32
80 0.32
80 0.3280 0.32 < 20 years use < 75
60 0.32
60 0.32
70 0.32
70 0.32
#N/A #N/A
#N/A #N/A
#N/A #N/A
#N/A #N/A
#N/A #N/A
#N/A #N/A
50 0.2750 0.27
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145 * 0.27
145 * 0.27
145 * 0.27
145 * 0.27
135 * 0.27
135 * 0.27
410 * 0.27410 * 0.27
#N/A #N/A
#N/A #N/A
#N/A #N/A
#N/A #N/A
#N/A #N/A
#N/A #N/A
#N/A #N/A
#N/A #N/A
660 0.43
660 0.25
#N/A #N/A#N/A #N/A
#N/A #N/A
#N/A #N/A
#N/A #N/A
#N/A #N/A
120 0.43
120 0.25
360 0.43
360 0.25
180 0.43
180 0.25
#N/A #N/A
#N/A #N/A
60 0.43
130 0.25
#N/A #N/A
#N/A #N/A
20 0.43
120 0.25
#N/A #N/A
#N/A #N/A
20 0.43
120 0.25
#N/A #N/A
#N/A #N/A#N/A #N/A
#N/A #N/A
#N/A #N/A
#N/A #N/A
50 0.43
130 0.25
#N/A #N/A
#N/A #N/A
100 0.43
130 0.25
#N/A #N/A
#N/A #N/A100 0.43
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130 0.25
#N/A #N/A
#N/A #N/A
#N/A #N/A
#N/A #N/A
#N/A #N/A
#N/A #N/A50 * 0.39
50 * 0.24
#N/A #N/A
#N/A #N/A
50 * 0.39
50 * 0.24
#N/A #N/A
#N/A #N/A
50 * 0.39
50 * 0.24
#N/A #N/A
#N/A #N/A#N/A #N/A
#N/A #N/A
#N/A #N/A
#N/A #N/A
3.5 * 0.39
17.5 * 0.24
#N/A #N/A
#N/A #N/A
3.5 * 0.39
17.5 * 0.24
#N/A #N/A
#N/A #N/A
3.5 * 0.39
17.5 * 0.24
#N/A #N/A
#N/A #N/A
#N/A #N/A
#N/A #N/A
#N/A #N/A
#N/A #N/A
13.5 * 0.39
45 * 0.24
#N/A #N/A
#N/A #N/A
13.5 * 0.3945 * 0.24
#N/A #N/A
#N/A #N/A
13.5 * 0.39
45 * 0.24
#N/A #N/A
#N/A #N/A
#N/A #N/A
#N/A #N/A
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1.00000 1.00000 1 1.00 1.00
1.00000 1.00000 1 1.0000 1.0000
1.00000 1.00000 1 1.0000 1.0000
1 1.00000 1 1.0000 1.00001 1.00000 1 1.0000 1.0000
1 1.00000 1 1.0000 1.0000
#VALUE! #VALUE! #VALUE! #VALUE! #VALUE!
Total below gro CO2 equiv
0 0 0 0 0
0 0 0 0 0
0 0 0 0 0
0 0 0 0 0
0 0 0 0 0
0 0 0 0 0
Factors(respectingconversion
time) -annualised
cumulativeso far
cumulative at20 years
consideringpercentageconversion(annualised)
cumulative sofar with
percentageconversion
Carbon changethis year Co2 eq
Below groundcarbon
Below groundcarbon CO2 eq
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0 0 0 0 0
0 0 0 0 0
0 0 0 0 0
0 0 0 0 0
0 0 0 0 0
[select] Land Use Chang
Tropical rain fore 1
Tropical Moist de 2
Tropical Dry fore 3
Tropical shrubla 4Tropical Mountai 5
Subtropical humi 6
Subtropical dry f 7
Subtropical step 8
Subtropical mou 9
Temperate Ocea 10
Temperate conti 11
Temperate moun 12
Boreal coniferou 13
Boreal Tundra w 14
Boreal mountain 15
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tonnes
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1.00
1.0000
1.0000
1.00001.0000
1.0000
#VALUE!
hectare conversion
1
1
1
1
1
1
cumulative at 20 yearswith percentage
conversion
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1
1
1
1
1
Previous Current involving forest Land Use Previous
No 0 0
Forest to 1 2 1
Forest to A 1 3 1
Grassland 2 1 1Grassland 2 3 0
Arable to F 3 1 1
Arable to g 3 2 0
Tillage practice changes
No 0 0
Conventio 3 2
Conventio 3 1
Reduced t 2 3
Reduced t 2 1
No-till to C 1 3
No-till to R 1 2
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Input regime
No 0 0
Decreased 2 1
Increased 1 2
previous current
no change no change 0 0
started adding started inc 0 1
stopped adding stopped in 1 0
conversion
[Select] #N/A
mm 0.1
cm 1
inch 2.54
metre 100
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0 Region
Age < 20?
-17 1
1
Ifconversion from
forestIfconversi
on toforest
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Input regime
No 0 0
High to Me 3 2
High to Lo 3 1
Medium to 2 1
Medium to 2 1Low to Hig 1 3
Low to Me 1 2
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Fill in Field management cell C5!
net biomass growth
0 0 0 0 0 0
0 0 0 0 0 0
Biomass changes 0 0 0
Averall biomass changes 0
mass
ratio
biomass
biomass
biomass
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conversion factor from t C to kgs CO2
0 0 0 0 3666.67
0 0 0 0
0
0
change
biomass
type
region
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Life cycle
Life cycle or snapshot Snapshot
Livestock type* [Select]
Length of phaseJuvenile phase
Adult productive phase*
Quality
[Select]
MANURE MANAGEMENT
Manure management system
[Select]
You must enter information on the General Info tab for thispage to work!
The data to theright may either
represent a typicallife cycle or else a
snapshot
Adult non-productivephases
Juvenilephase
CHARACTERISTICS
Feed mixpercentage,
pasture type (if
applicable) andmanure
management arerequired for
simple (Tier 1)estimate. Optional
inputs can beused to refine theestimate (Tier 2).
Percentage of diet fromfeed mix (instead of
grazing)
Type of grazing ifapplicable
Livestock
HOME CROPS SEQUESTRATION LIVGENERAL
on this page: 1. Lifecycle
2. Juvenile 3. Adult Productive 4. Adult Non-pr
YOUR
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[Select]
[Select]
Quality
[Select]
MANURE MANAGEMENT
Manure management system
[Select]
[Select]
[Select]
Comments on manure
management:
(Type over this cell to enter any cmanure management
Adultproductivephase
FEEDCHARACTERISTICS
Feed mixpercentage,
pasture type (ifapplicable) and
manuremanagement are
required forsimple (Tier 1)
estimate. Optionalinputs can be
used to refine theestimate (Tier 2).
Percentage of diet fromfeed mix (instead of
grazing)
Type of grazing ifapplicable
Comments on manuremanagement:
(Type over this cell to enter any cmanure management
Adult non-productivephase
FEEDCHARACTERISTICS
Percentage of diet fromfeed mix (instead of
grazing)
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Quality
[Select]
MANURE MANAGEMENT
Manure management system
[Select]
[Select]
[Select]
Total in feed Enteric
Growing phase 0.0 0.00
0.0 0.00
0.0 0.00
Totals 0.0 0.00
Feed mixpercentage,
pasture type (if
applicable) andmanure
management arerequired for
simple (Tier 1)estimate. Optional
inputs can beused to refine theestimate (Tier 2).
Type of grazing ifapplicable
Comments on manuremanagement:
(Type over this cell to enter any cmanure management
Annualisedemissions inkg per year
Productiveadults
Non-productiveadults
ignore
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Temperature celsius used
10
Days eggs
Weeks dozen eggs
Commer
cialBrown
Hy-LineW
-36
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Months liters
Years gallons
cwt
Life cycle
Snapshot
only - please ignore
Hy-Line
W-98
Hy-LineSil
verBrown
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0 0
Time unitYears Number of animals
Years Number of animals*
Years Number of animals
OPTIONAL INPUT
%
Type
[Select] 1
2
3
4
5
6
7
8
9
dry matter intake
per head
You may select components of your own feed mix tothe right to estimate emissions for this component. Ifyou leave this section blank emissions will beassumed for European cereal production.
Percentage ofmanure managedunder this system
(when in use)
Number of daysper year this
system is used
ENERGY USE PROCESSINGSTOCK TRANSPORT RESULTS
ductive 6. Results5. Animal Residue
0.00 kg CO2 eq per tonne
RESULTS SO FAR
0.00 kg CO2 eq per hectareby land area:by production:
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10
0
OPTIONAL INPUT
%
Type
[Select]
1
2
3
4
5
6
7
8
0 9
10
OPTIONAL INPUT
%
omments about yourtrategy .)
dry matter intakeper head
You may select components of your own feed mix tothe right to estimate emissions for this component. Ifyou leave this section blank emissions will beassumed for European cereal production.
% of manuremanaged under this
system (when in
use)
Number of daysper year this
system is