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We
carried out a global analysis showing possible scenarios for system
changes in an attempt to move beyond the static picture given by the
poverty maps in the previous sections. These changes represent both
opportunities and risks for poor households. They can represent an
opportunity if the system changes lead to a growing and more
diversified economy, increased market integration and more off-farm
income, for example. This requires, however, that policies and
interventions are designed to target some or most of the benefits to
the poorer segments of society. These can exacerbate
inequality and poverty if the benefits of system changes are
captured mostly by the richer households, and if these changes
destroy the livelihood systems of the poor (World Bank, 2001). It is
reasonable to hypothesise that in countries and geographic areas
that already have large gaps between rich and poor in terms of
access to land or natural resources, it will be much more difficult
to make these system changes beneficial to the poor.
The
scenarios focus on two types of change: predicted changes in
population density (and corresponding land use) to 2050 for all
developing countries and possible impacts from climate change to
2050 for Africa. These plausible futures are intended to highlight
the importance of including a time dimension in poverty analysis.
They certainly fall short of more comprehensive scenarios, that
could include other important factors affecting livestock production
systems and human well-being such as urbanisation and migration
rates, changes in market integration and trade relationships and
changes in the capacity of ecosystems to continue to provide goods
and services.
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4.1
Production system changes—the demand
side
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Map
15a.
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Livestock only, rangeland-based and mixed rainfed production
systems, 2000
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Map 15b. |
Livestock
only, rangeland-based and mixed rainfed production
systems, 2050
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Map 15c. |
Change in fallow land in mixed rainfed
production systems,
2000 to 2050
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Table
8.
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System changes based on threshold population densities of
20 and 85
persons km-2
and a length of growing period (LGP) boundary of
60 days: examples of opportunities and risks for poor
households |
To identify potential changes in the boundaries of production
systems by 2050, we applied two thresholds linked to population
density—20 persons km-2,
and 85 persons km-2—and projected them to 2050. The 20-persons km-2
threshold combined with LGP was discussed in more detail in Section
2.2 and was used to delineate additional cropped areas to those
originally classified as grassland/rangelands in the global
land-cover characteristics database. In the global livestock
production maps, this threshold represents the boundary between the
livestock/rangeland-based category and the mixed category (or
between pastoral and agro-pastoral systems). The 85-persons
km-2
threshold is a boundary within mixed production systems and
represents the transition zone from areas with little fallow to
areas with no fallow. It is based on earlier work that investigated
the distribution of tsetse in Africa (Reid et al., 2000; and see
Footnote 2.). The transition to production systems with no
fallow can have significant impacts on livestock keeping by, for
example, reducing the range area (if fallow is used for forage) and
changing the nature and degree of crop–livestock linkages (nutrient
and energy flows).
Map
15a and Map 15b show changes in rangeland and mixed systems between 2000
and 2050; the largest contiguous areas remaining in the livestock
only, rangeland-based production system category by 2050 are located
in the Central African Republic, southern Chad and the Sudan,
northern Namibia/southern Angola, western China, northern Mongolia,
and areas in Venezuela, Colombia and Argentina. Over the next
half-century, SSA will undergo substantial transition from pastoral
to agro-pastoral systems. Map 15c identifies SSA as the region with
the largest potential for reduction in fallow land by
2050.
Table
8 lists various examples of how these system changes could be
beneficial or detrimental to poor households.
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