2
Two assessment teams were formed, each led by one FAO staff and joint by four
representatives from the MALF, one senior officer from the President’s Office Regional
Administration and Local Government (PO-RALG) who is responsible for coordination of
the Economic and Productive sectors - agriculture sector inclusive, together with one
representative from the Disaster Management Department (DMD). All team members were
briefed and detailed instructions were provided on the use of the different data collection
tools and assessment methodology, before starting the fieldwork. MALF, and DMD, in close
collaboration
with
FAO
Tanzania,
defined
the
locations
to
be
assessed
(districts / municipalities), within the affected regions.
The two teams travelled to the six most affected regions
2
in order to meet with
representatives of the PO-RALG at region and district / municipality level, as well as other
concerned actors. Initially, they conducted key informant interviews with these stakeholders
mentioned above, before visiting the affected districts / municipalities where they undertook
FGDs with the local communities, together with field observations. At least two FGDs in the
selected regions were conducted with separate groups of men and women in order to compare
the answers received and ensure gender desegregation as part of the assessment.
Picture 1: Women and men focus group discussions
1.4.
Limitation of the assessment
Due to limited resources and time availability, this assessment did not cover all
districts / municipalities affected in the assessed regions. For the same reason, four additional
regions, Kagera, Kigoma, Lindi and Mbeya considered also affected by floods during
October - December 2015, could not be taken into account as part of this assessment.
Nevertheless, in order to overcome this limitation, a set of checklists were sent to the regional
offices of the PO-RALG in these regions to get a better understanding of the floods impact.
Despite this, the assessment team failed to get information from these offices which could
have been added to this report.
2
Arusha, Dodoma, Mara, Morogoro, Mwanza, and Shinyanaga
3
Additionally, the methodology used during this assessment, did not allow to exhaustively
estimate the effects of “El-Niño” to food security and nutrition. However, literature review
and field observations were used to come up with the most realistic information on this
regards.
Finally, most of the representatives of the regional and district offices visited did not have
first-hand quantitative data and information available on the damages and losses caused by
the floods. Hence, the process of data collection and analysis has been slightly delayed due to
the need of collecting that key data.
The assessment took place at the end of the short agricultural season “vuli” and at the start of
the long agricultural season “masika” in the bi-modal areas, where most crops were close to
the harvesting period for “vuli” and in the land preparation stage for “masika”. Whereas in
uni-modal areas, most of the crops were in the planting and maturing phase, of the long
agriculture season “msimu”, since part of the green harvest starts in March, while the main
one is in May - August. This situation allowed mainly estimation of the damages and losses
on the “vuli” season, while for the “masika and msimu” season, although some impacts were
caused on crops planted or in maturity phase, it was harder to measure the effect of the flood,
especially in relation to the likely reduction of yield. Therefore a follow up assessment would
be useful after the harvest of these two longer seasons in uni-modal and bi-modal areas,
taking place between May and September.
3
Map 1: Flood affected and assessed region
3
Please refer to the crop calendar (figure 1) section 2.4.1 of this report for better understanding.
4
2.
Overall characteristics of the affected region and pre – disaster situation
2.1.
Agriculture in Tanzania
2.1.1 Socio-economic and livelihood
The agriculture sector is the backbone of the economy in Tanzania. It generates 25 percent of
the GDP and contributes 30 percent of export earnings. Of this amount, livestock contributes
nearly up to 5% and fishery slightly more than 1%. Agriculture provides livelihoods to over
80 percent of the population and employs 75 percent of the total labour force. Smallholder
farmers tend to operate on a range of 0.9 to 3.0 ha, and are considered as the primary users of
arable land ranging from 80 – 90 percent of agricultural land use under smallholder
production.
4
Most smallholder farmers are women, with 98 percent of economically active
rural Tanzanian women engaged in agriculture. In general, 55.2 percent of women and 44.8
percent of men in the country are engaged in agriculture.
5
Adoption of agricultural
technologies is low, with cultivation generally done by hand tools (62 percent), animal
traction (24 percent) and only 14 percent mechanized.
6
2.1.2 Climate and Agro-ecological zones
Tanzania’s climate is highly variable and complex. The climate is driven by tropical
processes, the Inter-Tropical Convergence Zone (ITCZ), which influences rainy and dry
season patterns. El Niño and La Niña years are associated with extreme flood and drought
events. While annual seasonal temperature variation in different locations is fairly small
(approximately 3-4 °C), variability for rainfall is much higher both geographically and
seasonally with extreme dry and wet conditions over the course of the year. Alternatively dry
conditions with heavy rainfall combined with inadequate land management in many areas,
has exacerbated land degradation and increased vulnerability to weather-related shocks.
7
Map 2: Main Agro-ecological zones of Tanzania
8
4 Source: Tanzania Climate Smart Agriculture Programme (2015).
5 Source: FAOSTAT (2014).
6 Source: Sokoine University of Agriculture (2010), MAFC (2011).
7 Source: Enfors, E.I. & Gordon, L.J. (2007).
8 Source: Soikone University of Agriculture (2014).
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