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Are you a new or a traditional conservationist?

Although discussions about the aims and methods of conservation probably date back as far as conservation itself, the ‘new conservation’ debate as such was sparked by Kareiva and Marvier’s 2012 article entitled What is conservation science?

Two prominent positions have emerged in this debate, that of Kareiva and Marvier, which we label ‘new conservation’ (top-left quadrant of the figure below), and a strongly opposed viewpoint that we label ‘traditional conservation’ (bottom-right quadrant).

These positions can be clearly distinguished by their views on nature and people in conservation on the one hand, and on the role of corporations and capital in conservation on the other hand (the two axes in the figure).

Want to know which quadrant you fall into? Take the survey.

I did, and this is what I got.

Which basically means I’m wishy-washily neutral (agnostic? conflicted?) on the role of the private sector, and apparently think conservation needs to show some benefit for people, in particular poor people. And in that it seems I’m pretty near the centroid of opinion, at least when it comes to the last 100 people who took the survey. Of course, this is for biodiversity conservation. I wonder if the results would be different for conservation of agricultural biodiversity.

Mapping the hell out of maize diversity in Mexico

ResearchBlogging.orgThanks to a Facebook post, I’ve just come across the “mapoteca digital” of CONABIO, the Comisión Nacional para el Conocimiento y Uso de la Biodiversidad of Mexico. 1 It has point maps of the distribution of both wild and cultivated beans and calabazas, and of wild maize; but most interesting to me were the maps of the distribution of the richness of cultivated maize races, based on collections made at different times in the past. The data were put together by the “Proyecto Global de Maíces” (2006-2010), and the maps are also available in a PDF.

Here’s the map for 1940-1965, based on about 3,000 collections.

And here’s the map for 1991-2000, based on 12,000 collections.

The legend used in both maps is at the left here. Looking at the maps, lots of questions came to mind. Why are we getting higher numbers of races in the 1990’s? Is it that the collecting was more thorough then? Or are races moving around more now? There is lots of information on the individual races on the project website, including actual and potential distribution maps. And you can download the raw data. So another thing that came to mind was that surely someone must have gone through all this stuff in detail. And sure enough, yes someone had indeed gone through all this stuff in detail, Peralta & Golicher in 2014. 2

The high rank correlation between the three collection efforts indicate that relative abundance of races has not changed considerably since 1950. Races that were common in 1950 were also common in 2005, and the same can be said for rare races, none of these were apparently more common in 1950. Correspondingly, the comparison of distribution and richness models for the three sampling efforts does not suggest a general decline in richness nor in distribution for 43 of the 47 races studied, and in the other four cases the declines are relatively minor and require verification. The recent increase in distribution for two races (Tuxpeño and Celaya) may be explained by the outstanding importance these have had as components in commercial cultivars, it is not uncommon to find recycled and creolized landraces that had their origin as commercial seeds. Also, no extinctions were reported for the 47 races studied since all were sampled in the last collection effort between 1997 and 2010. Therefore, in a broad sense, at the race level of classification we do not find signs of substantial genetic erosion between 1943 and 2010. That is not to say no losses of local populations have occurred.

I can’t for the life of me understand why I haven’t blogged about this paper before (or indeed the project that generated the data), bringing together as it does two of my very favourite things, agrobiodiversity and mapping 3, but I’m more than happy to rectify that oversight here and now. I can’t help thinking there’s more to be mined from this dataset yet.