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Citation:

Graf, B. (2016): Farmers' Perceptions & Adaptation to Climate Change Part VIII: Livestock systems and climate change adaptation; Dano, Burkina Faso, 2015

https://wascal-dataportal.org/geonetwork/?uuid=7dbe1911-ac51-4124-b825-ad7b6d51a18e

Find metadata within zipped files

Example:

Meta data for pasture in the Dano catchment

Date range of sample collection: 10th of October 2015 - 17th of October 2015

Files: Classification/Data-Collection.xlsx; Pasture_WM_DM.xlsx; Samples_Pasture.xlsx

Keyword: Pasture, Dano, dry matter

Conducted by: Benjamin Graf

**Classification/Data-Collection.xlsx**

Date: Date of the plot classification

Latitude: Latitude in decimal degrees

Longitude: Longitude in decimal degrees

Classification Vegetation: Classification of the vegetation into the categories "Grass" and "Mixed

Height 1 Grass: Random sample of grass height within the plot.

Height 2 Grass: Random sample of grass height within the plot.

Height 3 Grass: Random sample of grass height within the plot.

Comment: Any special appearances within the plot

**Samples_Pasture.xlsx**

Random samples were taken within the catchemnt using a 1m² boundry-box and cutting all the grass within it. The grass was then packed into bags and brought back to the research base of determining the dry matter (Pasture_WM_DM.xlsx)

Date: Date the grass-sample was cut.

ID: Unique ID of the plot. Coresponding to the ID in (Pasture_WM_DM.xlsx).

Latitude: Latitude in decimal degrees.

Longitude: Longitude in decimal degrees.

Height1; Height2; Height3: The different height measurements within the 1m² boundry-box.

**Pasture_WM_DM.xlsx**

The pasture samples were dried as quicky as possible after cutting it to prevent weight loss. For the popuse of drying a ofen was used and the weight before and after has been check for one sample out of five (all located within a sepcific area of the catchment). The grass has been dried, till no change of weight could be determined after several checks inbetween two hours. The resulting drymatter was used to determine a conversion factor, which was applied to the other samples. Drying all samples would have not been feasable.

ID: Unique ID coresponding to the ID in (Samples_Pasture.xlsx).

Total Wet (in g): Weight of the pasture sample in a wet condition (of 1m²).

Sub-Sample Wet (in g): Sub-samples had to be taken because of limited space in the ofen.

Sub-Sample Dry (in g): Dry matter of the sub-sample.

Total Dry (in g): Total dry matter of the 1m² extrapolated by using the Conversion factor.

Conversion factor: Conversion factor gained by using the figures from the sub-sample.

Metadata for Questionnaire file:

Column: Date

Description: Date of the interview in the Format dd-mm-jjjj

Column: Household_ID

Description: Identification-number for a unique household within the research area. Identical numbers within numerous data-sets represent the same household.

Column: Lat_decimal

Description: Latitude in decimal degrees (WGS 1984 geodetic reference). Precision might be lacking because of a poor signal in the field. The position was taken close to the main dwellings.

Column: Long_decimal

Description: Longitude in decimal degrees (WGS 1984 geodetic reference). Precision might be lacking because of a poor signal in the field. The position was taken close to the main dwellings.

Column: No1_Position_hh

Description: Position within the household in reference to the the household head. Data can be biased because of the position within the household. Women for example were not always capable of answering the asked questions. If possible it was prefered to interview the household head.

Column: No2_Sex_interviewee

Description: Sex of the interviewee.

Column: No_3_Age_interviewee

Description: Age of the interviewee in years.

Column: No4_Age_hh_head

Description: Age of the household head in years.

Column: No_5No_hh_female

Description: Number of female household members.

Column: No_6No_hh_male

Description: Number of male household members.

Column: No_7.1Confession

Description: Religion of the household head. This data is linked to the variable (No_7.2Confession), since it was not uncommon for a member stating that they beleaved in christanity, but also followed traditional beleaves.

Column: No_7.2Confession

Description: Religion of the household head. This data is linked to the variable (No_7.1Confession), since it was not uncommon for a member stating that they beleaved in christanity, but also followed traditional beleaves.

Column: No8Ethinc_group

Description: Ethnicity of the household. Most households in the sample are Dagara. Be aware of any bias, when using this variable in any analysis.

Column: No8Ethinc_group

Description: Ethnicity of the household. Most households in the sample are Dagara. Be aware of any bias, when using this variable in any analysis.

Column: No_9_hh_age_0_13

Description: Number of people in the household under the age of 14 (0-13).

Column: No_10_hh_elderly_dependant

Description: Number of people in the household who are elderly and depend on help, or any other family member needing long-term help.

Column: No_11_hh_literate_french

Description: Number of people in the household who are able to read and write in French.

Column: No_12Years_education

Description: Years of educaton of the interviewee.

Column: No_13.1No_hh_edu_maternal

Description: Number of household members having received maternal education.

Column: No_13.2No_hh_edu_primary

Description: Number of household members having received primary education.

Column: No_13.3No_hh_edu_secondary

Description: Number of household members having received secondary education.

Column: No_13.4No_hh_edu_post_secondary

Description: Number of household members having received post-secondary education.

Column: No_13.5No_hh_edu_none

Description: Number of household members having received no education at all.

Column: No14Livestock_cattle_fem

Description: Number of female cattle owned by the household.

Column: No14Livestock_cattle_male

Description: Number of male cattle owned by the household.

Column: No14Livestock_donkeys_fem

Description: Number of female donkeys owned by the household.

Column: No14Livestock_donkeys_male

Description: Number of male donkeys owned by the household.

Column: No14Livestock_donkeys_fem

Description: Number of female donkeys owned by the household.

Column: No14Livestock_pigs_fem

Description: Number of female donkeys owned by the household.

Column: No14Livestock_pigs_male

Description: Number of male pigs owned by the household.

Column: No14Livestock_sheep_fem

Description: Number of female sheep owned by the household.

Column: No14Livestock_sheep_male

Description: Number of male sheep owned by the household.

Column: No14Livestock_goats_fem

Description: Number of female goats owned by the household.

Column: No14Livestock_goats_male

Description: Number of male goats owned by the household.

Column: No14Livestock_poultry_fem

Description: Number of female poultry owned by the household.

Column: No14Livestock_poultry_male

Description: Number of male poultry owned by the household.

Column: No14Livestock_TLU_total

Description: Calculation of the Tropical Livestock Units (TLU) owned by the household. This measurement was not directly optained by the questioneer, but was a calculation with following units: Cattle=0.7; Donkeys=0.5; Pigs=0.2; Sheep=0.1; Goats=0.1; Poultrs=0.01.

Column: No15Livestock_evol

Description: Subjective opinionon the development of the livestock numbers in the area within the last 10 years.

Column: No16.1Place_livestock_sales

Description: Place where the animals are normaly sold. Multiple places are possible (linked with No16.2Place_livestock_sales & No16.3Place_livestock_sales)

Column: No16.2Place_livestock_sales

Description: Place where the animals are normaly sold. Multiple places are possible (linked with No16.1Place_livestock_sales & No16.3Place_livestock_sales)

Column: No16.3Place_livestock_sales

Description: Place where the animals are normaly sold. Multiple places are possible (linked with No16.1Place_livestock_sales & No16.2Place_livestock_sales)

Column: No17Month_fodder_collection_1; No17Month_fodder_collection_2 No17Month_fodder_collection_3 No17Month_fodder_collection_4 No17Month_fodder_collection_5; No17Month_fodder_collection_6; No17Month_fodder_collection_7; No17Month_fodder_collection_8; No17Month_fodder_collection_9; No17Month_fodder_collection_10; No17Month_fodder_collection_11; No17Month_fodder_collection_12

Description: Months within the year where it is difficult to find fodder.

Column: No18Pasture_development

Description: Subjective judgement on the pasture development in the area within the last 10 years.

Column: No19Fodder_availability

Description: Subjective judgement on the development of fodder availability in the area.

Column: No20.1Water_scarcity; No20.2Water_scarcity

Description: Action taken regarding the livestock in case of water sarcity.

Column: No21.1Sell_millet

Description: Amount of millet sold within the last year (in kg).

Column: No21.2Sell_maize

Description: Amount of maize sold within the last year (in kg).

Column: No21.3Sell_cotton

Description: Amount of cotton sold within the last year (in kg).

Column: No21.4Sell_groundnut

Description: Amount of groundnut sold within the last year (in kg).

Column: No21.5Sell_rice

Description: Amount of rice sold within the last year (in kg).

Column: No21.6Sell_beans

Description: Amount of beans sold within the last year (in kg).

Column: No21.8Sell_sesame

Description: Amount of sesame sold within the last year (in kg).

Column: No21.9Sell_chilli

Description: Amount of chilli sold within the last year (in kg).

Column: No22.1Consume_millet

Description: Amount of millet consumed by the household within the last year (in kg).

Column: No22.2Consume_maize

Description: Amount of maize consumed by the household within the last year (in kg).

Column: No22.3Consume_groundnut

Description: Amount of groundnut consumed by the household within the last year (in kg).

Column: No22.4Consume_rice

Description: Amount of rice consumed by the household within the last year (in kg).

Column: No22.5Consume_beans

Description: Amount of beans consumed by the household within the last year (in kg).

Column: No22.6Consume_soy

Description: Amount of soy consumed by the household within the last year (in kg).

Column: No23.1Sold_livestock_cattle

Description: Number of cattle sold by the household within the last year.

Column: No23.2Sold_livestock_donkeys

Description: Number of donkeys sold by the household within the last year.

Column: No23.3Sold_livestock_pigs

Description: Number of pigs sold by the household within the last year.

Column: No23.4Sold_livestock_sheep

Description: Number of sheep sold by the household within the last year.

Column: No23.5Sold_livestock_goats

Description: Number of goats sold by the household within the last year.

Column: No23.6Sold_livestock_poultry

Description: Number of poultry sold by the household within the last year.

Column: No24Finanz_school_fees

Description: Financial expenses for school fees.

Column: No25Finanz_school_fees_other

Description: Financial expenses for school (other than the school fees).

Column: No26Finanz_Food

Description: Financial expenses for food within one week.

Column: No27Finanz_crop_input

Description: Financial expenses for inputs used for cropping with one year.

Column: No28Finanz_livestock_input

Description: Financial expenses for inputs used for livestock with one year.

Column: No31Finanz_access_credit

Description: Possibility to get credit from a bank.

Column: No30Finanz_borrow_money

Description: Possibility to get borrow money from relatives or friends or any other person.

Column: No33Finanz_bank_account

Description: Ownership of a bank account.

Column: No34Finanz_account_ngo

Description: Financial account at a non-governmental organization.

Column: No35Fiannz_account_agri

Description: Financial account at an agricultural organization.

Column: No36Finanz_remit_money

Description: Does the household receive remittance from family members abroad.

Column: No37.1Phys_transportation_1; No37.1Phys_transportation_2; No37.1Phys_transportation_3; No37.1Phys_transportation_4; No37.1Phys_transportation_5

Description: Means of transportation available to the household.

Column: No38Phys_electricity

Description: Type of electricity used by the household.

Column: No39Phys_type_housing

Description: Major material the houses of the household are build of.

Column: No40Phy_house_roof

Description: Type of roof.

Column: No41Phy_house_corrugated_roof

Description: Do the housing units posses a corrugated roof?

Column: No42Phys_num_cell_phones

Description: Number of cellphones of all household members.

Column: No43Phys_traction

Description: Type of traction available to the household for agricultural production.

Column: No44Receive_advice

Description: If the household receives advice regarding livestock rearing.

Column: No45Receive_advice_times

Description: How many times the household received advice regarding livestock rearing.

Column: No46Active_assosiation

Description: If any member of the household is active in an agricultural organization.

Column: No47Social_public_office

Description: If any member of the household is currently serving a public office.