Climate change and Africa

Image2.gif I haven’t read Climate change and poverty in Africa: mapping hotspots of vulnerability, and nor am I likely to find the time to do so any time soon. But judging from the write-up at Eldis this paper from the African Journal of Agricultural and Resource Economics will be of interest to those who find this sort of thing interesting. The paper “uses a broad-brush analysis at the continental level to identify areas or ‘hotspots’ that are already vulnerable and likely to suffer substantial impacts as a result of climate change.”

The authors conclude that these results argue against large ‘magic bullet’ approaches and favour smaller, better targeted local approaches and interventions. Considerable future work is needed to refine the hotspots analysis and increase the resolution of impact studies, and thus contribute to a better understanding of the issues facing millions of people who depend on natural resources for their livelihood.

I wonder how that squares with other approaches to vulnerability in Africa, like the models of our pal Andy Jarvis and those of David Lobell?

The perils of protected areas

Does it make sense to conserve crop wild relatives in situ? That’s an extreme way of asking the question, I know, but maybe it is worth putting it as starkly as possible. To concentrate minds, let us say. Such musings were triggered (not for the first time) by the latest niche modelling study trying to predict what will happen to species distributions under climate change.

As usual, it’s not good. Working on the California flora, researchers at Berkeley found “that two thirds of … ‘endemics’ could suffer more than an 80% reduction in geographic range by the end of the century.” The average shift in range will be 150 km, and in many cases there will be no overlap between the old and new ranges. Current hotspots of diversity will disappear. That’s in line with studies more focused specifically on crop wild relatives.

However, “[t]he authors [also] identified several ‘climate-change refugia’ scattered around the state. These are places where large numbers of the plants hit the hardest by climate change are projected to relocate and hang on.”

The usual caveats apply. In particular, the exact results for a given species will depend on whether it can migrate and/or adapt fast enough to track changing climates. But let’s think it through. The global strategy for crop wild relatives conservation says we should

Identify globally, and within each region, a small number of priority sites (global = 100, regional = 25) for the establishment of active CWR genetic reserves.

Let’s assume we identify such a site, because of its interesting or high diversity, say. What would really be the best way of conserving the population(s) found there? If migration is fast enough to track climate across the landscape, surely it would be best to conserve the population ex situ, rather than moving the protected area every once in a while.

If migration cannot keep up with climate, there are only two possible outcomes. Either the population dies out, in which case of course ex situ is the only option. On the other hand, if adaptation occurs, and the population persists, the selection pressure is likely to be so strong and so centred on temperature and water availability, that many useful alleles for other non-climate related traits are likely to be winnowed out. Again, you’d probably want to conserve the population ex situ anyway.

So I guess the answer to the question I started out with is a heavily qualified affirmative. Yes, it does make sense to conserve crop wild relatives in situ. BUT. Only if you also do it ex situ, and only if you do it with a view to what distributions are likely to look like in a hundred years’ time. We should all be looking for those “climate change refuges.” But we should also be collecting those crop wild relatives as fast and as completely as possible.

Nibbles: Maize, Climate change, Erosion (not), Bees squared, Cordyceps, Apples, City gardens

Nibbles: Homegardens, Rice, Fish, Climate change, Value chains, Fuel costs, Urban drift