Ceres2030 megareview spots problem with research on hunger

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The researchers found many studies that conclude that smallholders are more likely to adopt new approaches — specifically, planting climate-resilient crops — when they are supported by technical advice, input and ideas, collectively known as extension services.

…as I cry quietly…

Ceres2030 researchers found that the overwhelming majority of studies they assessed — more than 95% — were not relevant to the needs of smallholders and their families. Moreover, few studies included original data.

…in a corner.

Many researchers — most notably those attached to the CGIAR network of agricultural research centres around the world — do work with smallholder farmers. But in larger, research-intensive universities, small is becoming less desirable. Increasingly, university research-strategy teams want their academics to bid for larger grants — especially if a national research-evaluation system gives more credit to research income.

Full list of recommendations:

  • Enable participation in farmers’ organizations.
  • Invest in vocational programs for rural youth that offer integrated training in multiple skills.
  • Scale up social protection programs.
  • Investment in extension services, particularly for women, must accompany research and development (R&D) programs.
  • Agricultural interventions to support sustainable practices must be economically viable for farmers.
  • Support adoption of climate-resilient crops.
  • Increase research on water-scarce regions to scale up effective farm-level interventions to assist small scale producers.
  • Improve the quantity and quality of livestock feed, especially for small and medium-scale commercial farms.
  • Reduce post-harvest losses by expanding the focus of interventions beyond the storage of cereals, to include more links in the value chain, and more food crops.
  • Invest in the infrastructure, regulations, services and technical assistance needed to support SMEs in the value chain.

Brainfood: Amazon Neolithic double, Bean fixation, Maize stress, Collecting wild Musa, Bananas from space, Eleusine, Dioscorea, Genomics tool, Clover breeding, Red Data plus, Seed viability, Sustainable coffee, Camel conservation, Ryegrass diversity

Brainfood: Dietary diversity, Farm diversity double, Neolithic dairy, Exotic breeds, Yam viruses, Cassava GWAS, Satellite phenotyping, Forest restoration & disturbance, Genetic rescue, Budwood cryo, SP cryo, Dry grasslands, Botanical gardens, Remote sensing

Mapping crop species diversity in space and time

A big thank you to Fernando Aramburu Merlos, one of the authors of a very interesting recent paper on crop rotation in the USA, for contributing this nice blog post describing his findings.

If a picture is worth a thousand words, a good map is worth a million. Or, at least, that is how it felt after spending many hours staring at CropScape and mapping crop rotations – that is, the sequence in which different crop species are planted in a field – across the United States.

The USDA CropScape database is amazing: it identifies the crop planted for 30m grid cells across all the contiguous United States for the last 10+ years. It is a unique resource to better understand crop species diversity patterns for an entire, large country, and that is what we set out to do. “Let’s download the data and see what we can do,” said my advisor Robert Hijmans some time ago. But having a lot of data can also be overwhelming, and questions abounded. How should we estimate diversity? At what scale? And in what dimension: time or space, or both? In the end, much of the analysis focused on how temporal and spatial diversity are connected.

As an agronomist by training, it astonished me how little was available on spatial patterns in temporal diversity. For so many hours I have had to listen to lectures and read about the benefits of crop rotations, but I could not find a single crop rotation diversity map. One reason is surely that you need high spatial resolution crop distribution data for that, which is not available for most countries. So I was thrilled to create the first crop rotation diversity map for the US. I still can’t stop looking at it. Here it is.

The map, and the article that discussed it, has just been published. 1 It shows (to no one’s surprise) that temporal crop species diversity in time is very low in most of the USA. The national average is 2.1 crops, with 86% of the cropland with 3 or fewer crops in rotation. We also found that the greater the popularity 2 of an annual crop, the less diverse is the rotation it is grown in. We proposed various reasons for that, but the take-home message is that “to increase crop species diversity, currently minor crops would have to increase in area at the expense of these major crops.” We would need less maize, soybeans and wheat to make space for other crops (to get back to the peak-diversity of the 1960s).

The scale issue was the hardest to tackle, and it is not just a purely academic concern. A number of recent papers use country level crop diversity data to explain food production stability and pollination . Our analysis suggest that while these country level analyses may be of interest, it is important to note that national level diversity is not directly related to farm level diversity, as many authors seem to assume.

So do read our paper if any of this interests you. And if it does not, you can still simply enjoy the maps.