Expert workshop on Improving activity data for Tier 2 estimates of livestock emissions: Dealing with data gaps July 17-18, 2018 Session 2 - Kenya

1. MINISTRY OF AGRICULTURE, LIVESTOCK, FISHERIES AND
IRRIGATION
MRV EXPERT WORKSHOP– KENYA EXPERIENCE
Benjamin T. Kibor
State Department for Livestock
1
Guidance for addressing gaps in information and uncertainty in activity data for livestock GHGE 17-
18 July 2018, Den Haag, Netherlands
REPUBLIC OF KENYA

2. INTRODUCTION…
• Kenya is endowed with various types of
livestock which are cattle, sheep, goats,
poultry, donkeys, camels, pigs, rabbits ,
beehives and emerging livestock.
• These animals are kept for various products
such as milk, meat, skin, wool , honey ,
beeswax and manure.
2
Guidance for addressing gaps in information and uncertainty in activity data for livestock
GHGE 17-18 July 2018, Den Haag, Netherlands

3. 3
ASALs (Red) -
major for beef,
Honey, chevon
and mutton
High (white)
and medium
(Yellow)
potential areas
- Mainly Dairy,
poultry and Guidance for addressing gaps in information and uncertainty in activity data for livestock
GHGE 17-18 July 2018, Den Haag, Netherlands

4. KENYA’S LIVESTOCK SECTOR
ECONOMIC CONTRIBUTION
12% of the national Gross Domestic Product (GDP);
50% of agricultural labour force;
 80% of the country is ASALs where 60% of
livestock is found, supporting over 10 million
people as the only source of livelihoods
Guidance for addressing gaps in information and uncertainty in activity data for livestock GHGE 17-18 July 2018, Den
Haag, Netherlands 4

5. LIVESTOCK POPULATION
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Guidance for addressing gaps in information and uncertainty in activity data for livestock
GHGE 17-18 July 2018, Den Haag, Netherlands
-
2
4
6
8
10
12
14
16
18
20
22
24
26
28
30
32
34
36
38
40
42
44
46
1963 1968 1973 1978 1983 1988 1993 1998 2003 2008 2013
Population(numbersinmillions)
Year
Livestock population trends (1963 - 2016)
Beef Dairy Cattle Hair Sheep Wool Sheep Goats Pigs Poultry

6. LIVESTOCK PRODUCTS
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Guidance for addressing gaps in information and uncertainty in activity data for livestock
GHGE 17-18 July 2018, Den Haag, Netherlands

7. Livestock production systems in Kenya:
Pastoralism 60%, Ranching 10% , Semi–Intensive 20%, Zero grazing (Intensive) 10%
Guidance for addressing gaps in information and
uncertainty in activity data for livestock GHGE 17-18 July
2018, Den Haag, Netherlands
7

8. GHG emissions projection (Kenya), 2010 –
2030
Guidance for addressing gaps in information and uncertainty in activity data for livestock GHGE 17-18 July 2018, Den
Haag, Netherlands
8

9. Agriculture Sector Emission Projections
9
0
5
10
15
20
25
2000 2005 2010 2015 2020 2025 2030
GHGEmissionsMTCO2e
Nitrogen from Animal
Waste Management
BurningCrop Residues
Soil Nitrogen
Livestock Manure
Management
Savanna Burning
Livestock Enteric
Fermentation
Source: Kenya SNC, 2015
Guidance for addressing gaps in information and uncertainty in activity data for livestock GHGE 17-18 July 2018, Den Haag,
Netherlands

10. Current approach
• Use Tier 1 data in carrying out GHG
inventories- Use administrative data collected
by county governments staff.
• They are compiled and validated with KNBS
• Released as official statistics to stakeholders
10
Guidance for addressing gaps in information and uncertainty in activity data for livestock
GHGE 17-18 July 2018, Den Haag, Netherlands

11. Proposed approach
Use Tier 2 data in carrying out GHG
inventories-
•More important as Kenya implements proposed
Dairy NAMA
•Already held two meetings with stakeholders
•Identified data needs (Naivasha workshop)
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Guidance for addressing gaps in information and uncertainty in activity data for livestock
GHGE 17-18 July 2018, Den Haag, Netherlands

12. Classification of dairy cattle
– Intensive - Animals confined and fed on stalls
– Semi intensive – Partly graze and stall fed
– Extensive – Improved dairy breeds grazing only
Guidance for addressing gaps in
information and uncertainty in activity data
for livestock GHGE 17-18 July 2018, Den
12

13. Herd structure
– Milking cows
– heifers
– Calves
– bulls
– other males
Guidance for addressing gaps in
information and uncertainty in activity data
for livestock GHGE 17-18 July 2018, Den
13

14. Intensive system
Estimating enteric and manure methane emissions
• Need to know population
• Size (weight in kg)
• Milk yield (per lactation or
per day)
• Live weight change (per
day)
• Diet quality (DE)
• Methane conversion
factor
• Proportion of wastes
going into manure
management systems –
Need to define the
system and apportion
• Characteristics of the
manure (Bo and Vs)
Guidance for addressing gaps in
information and uncertainty in activity data
for livestock GHGE 17-18 July 2018, Den
14

15. Milking
cows
Heifers Calves Are data
available?
Who holds it? Can it be
obtained
indirectly?
From whom? Future
Population √ √ √ No, not
directly
Total dairy
available.
Surveys to
obtain % in
intensive
systems + %
of each class
M. Of Ag; KNBS
Various surveys
Good opportunities
for better data in
future
Milk yield
kg/day
√ Yes Research
organisations;
industry;
Government
Good opportunities
for better data in
future
Milk quality
% fat, %
protein
√ Yes Industry; Dairy
cooperatives;
KALRO
Weight (kg) √ √ √ Yes ILRI; KALRO Model for
younger
animals
Weight gain
(kg/day)
√ √ √ Yes ILRI; KALRO Test whether
pattern of weight
change important
% pregnant √ √ Yes Research,
cooperatives,
Enteric CH4

16. Milking
cows
Heifers Calves Are data
available
?
Who holds
it?
Can it be
obtained
indirectly
?
From
whom?
No
data
Faecal ash (%) √ √ √ No Yes –
from feed
data to
cross
check
IPCC
default
Vs (kg/day) √ √ √ calculate
Daily spread (%)
Solid storage
(%)
Informati
on is
available
on
manure
mgmt.
systems
&
emissions
Expert group
needed to
define
categories
CH4 from wastes

17. Milking
cows
Heifers Calves Are data
available
?
Who holds
it?
Can it be
obtained
indirectly
?
From
whom?
No
data
Feed N (%) √ √ √ Yes Research
organisations
, NGO
N excreta
(kg/day)
√ √ √ Yes,
calculate
d value
from
other
parts of
the
process
EF3 for daily
spread (%)
√ √ √
EF3 solid storage
(%)
√ √ √ Need to
agree on
the
categoris
ation.
Research
organisations
N2O from manure management

18. Outline action plan
• Plan for tier 2
• July 2018 – develop concept
• December 2018 Draft
• February 2019 Final
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Guidance for addressing gaps in information and uncertainty in activity data for livestock
GHGE 17-18 July 2018, Den Haag, Netherlands

19. Thanks
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Guidance for addressing gaps in information and uncertainty in activity data
for livestock GHGE 17-18 July 2018, Den Haag, Netherlands