Intro - “Adaptive
capacity” is key for livestock having the ability to survive and thrive. The ability to adapt and
cope is therefore increased by increasing the adaptive capacity of the
livestock and their owners. Coping strategies include a suitable healthcare
service for animals with surveillance and emergency systems in place. Despite uncertainty around
the precise vulnerability of specific regions and their livestock, one can come
to several assumptions based on the type of livestock production systems and
the general characteristics of each type. Adaptation in its most common form is not conscious – in fact
can be considered completely autonomous and actually just a natural reaction to
the surrounding environment.
Autonomous adaptations can often undermine the vital impacts institutions
can have on livestock when undertaking deliberate adaptation schemes.
Transhumance - One
of these more autonomous phenomena is known as “Transhumance” which consists of
the movement of livestock to more seasonally variable pastures to maximise the
yield from the land and therefore their chances of survival. (Boscche, 555; 2008) This can be
mirrored in rainfall patterns too. Eat and West Africa tend to follow relocating
based on pasture richness. Northern and Southern Africa has been reported to be
mainly based around rainfall patterns. I feel like both these reasons are
interlinked as rainfall effects pasture density and vice versa. However, as the
general trend of cattle numbers increases, competition for resources like food
and water become scarcer. As a result the mechanism of moving cattle to other
areas may be less successful if there are limited areas to move into. A
strategy therefore would be to enhance the feed concentrations for food
insecurities – water access remains a problem. (Lunde, 14; 2013)
Diversifying - Often
diversifying or even moving towards other more reliable sources of income for
pastoralists may be the answer – Maasai herders in Kenya moving towards crop
farming as an alternate revenue stream is a prime example of this. However,
moving towards crops as an income supplement has its drawbacks – they are a
less geographically mobile resource and are therefore more susceptible to
extreme weather events such as flooding or droughts. As a result the adaptive capacity
is often lower than sticking with livestock. (Boscche, 555; 2008)
Technology - Adaptive
capacity can be greatly increased by advancements in technology especially when
looking at the issue of disease management. Aerial satellite maps of vegetation
can be useful when predicting and visualising possible vector related disease
outbreaks. Technology however is only good as the people operating and
interpreting it thus high education and knowledge levels are vital to its success
in order to then carry out suitable responses.
Socio political -
Also finally, socio political factors have a large bearing adaptive capacity –
political upheaval creates instability in communities and therefore limits
scope to adapt. In order to cope and adapt communities need to maximise the
resources available to them – instability ensures inefficient use of available
resources and thus adaptive capacity is reduced. (Boscche, 556; 2008) Wealth also plays a large part
in adaptive capacity as greater levels of wealth can afford greater investment
in adaptive measures. Poverty obviously increases vulnerability to climatic fluctuations
and therefore adaptive capacity is reduced.
Discussion - Taking
into account all these variables therefore – one can easily see why the
adaptive capacity of livestock is so variable between regions across Africa. Climatic
effects, production systems and wealth vary.
Though difficult to gauge the scale of accountability
climatic change can take for effects on livestock we can identify and therefore
enhance adaptive capacities in specific areas in order to combat these effects.
As discussed previously often the key to helping livestock are top down
approaches such as governmental policies being implemented such as surveillance
systems. (Boscche, 556; 2008) These systems can be used to identify key patterns of failure within
the livestock industry and help pinpoint key areas of attention. One of which
that has been identified is the need for community participation – the sharing
of resources, communication and support will alleviate problems such as over
grazing and desertification. Policies and participation both unite when it
comes to keeping the data up to date and relevant. Policies can be authorised
to update monitoring equipment and authorise more in depth research into the
more direct impacts of climate change on livestock. To elaborate further – I feel
like the evidence from recent more extreme climatic events like El Niño can
help illuminate the more difficult to measure climatic fluctuations and their
effects on animal health – surely the more subtle effects will mirror those of
past more extreme historic events?
The use of integrated models in the context of vector borne
diseases is vital to try and “clarify, quantify and qualify” the present and
more importantly future effects of climate change on livestock health. These
models will assist and aim to eradicate uncertainties around the links between
climate change and livestock health – factoring in variables such as physical,
biological and societal factors. However, we have no choice but to generalise
data as in fact evidence shows the climatic effects on livestock depend very
much on context. As a result, for the models to be effective they must be based
on specific populations and their conditions. What is the best scale to acquire
the most accurate data then? Nationally? Regionally? Well, research suggests
regional would be preferable as more precision can be applied to results if
said areas share the same climatic conditions as each other.
The easiest scenarios to observe and learn from are ones
where long-term climate change is affecting livestock and production systems
with low adaptive capacity which shows a more profound exposure/outcome
relationship. (Boscche, 557 - 558; 2008) Case studies can be instrumental learning tools when used as
exemplars – adaptations and responses, policy successes and failures and
varying regions all help attempts at finding viable solutions to these issues.
Why the picture? I have chosen the picture this week to illustrate the sheer diversity of species in Africa - all of which will be affected by water and climate change in some form or another. I would like to inspire the readers of this blog to apply the same criteria that I have to the fishing and livestock industry and examine other species and the ways people interact with them, send them in to me or post in the comments and show off what has interested you! I will be fascinated by both differences and similarities.
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