You can find the original blog post by the Natural History Museum of London, reposted here with minor edits.
Legumes are a group of plants that include soybeans, peas, chickpeas, peanuts and lentils. They are a significant source of protein, fibre, carbohydrates, and minerals in our diet and some, like the cowpea, are resistant to droughts.
The project’s outcomes were published in a data paper in the Biodiversity Data Journal. Within the project, the digitisation team aimed to collectively digitise non-type herbarium material from the legume family. This includes rosewood trees (Dalbergia), padauk trees (Pterocarpus) and the Phaseolinae subtribe that contains many of the beans cultivated for human and animal food.
This project was made possible through the Department for Environment Food & Rural Affairs (DEFRA)-allocated Official Development Assistance (ODA) funding, distributed by the UK government in its “global efforts to defeat poverty, tackle instability and create prosperity in developing countries”.
|Guinea, Ethiopia, Sudan, Kenya, Uganda, Tanzania, Mozambique, Malawi and Madagascar
|Bangladesh, Myanmar, Nepal, New Guinea and India
|Southern and Central American
|Guatemala, Honduras, El Salvador, Nicaragua, Bolivia, Argentina and Brazil
The legume groups: Dalbergia, Pterocarpus and Phaseolinae,were chosen for digitisation to support the development of dry beans as a sustainable and resilient crop, and to aid conservation and sustainable use of rosewood and padauk trees. Some of these beans, especially cow pea and pigeon pea, are sustainable and resilient crops, as they can be grown in poor-quality soils and are drought stress resistant. This makes them particularly suitable for agricultural production where the growing of other crops would be difficult.
While there have been collaborative efforts between herbaria in the past, these have tended to prioritise digitisation of type specimens: the example specimens for which a species is named.
Searching for beans
This collection was digitised by creating an inventory record for each specimen, attaching images of each herbarium sheet, and then transcribing more data and georeferencing the specimens, providing an accurate locality in space and time for their collection.
We originally had four months and three members of staff to digitise over 11,000 specimens. The Covid-19 lockdown was ironically rather lucky for this project as it enabled us to have more time to transcribe and georeference all of the records.say the researchers behind the digitisation project.
“We were able to assign country-level data to 10,857 out of the total number of 11,222 records. We were also able to transcribe the collectors’ names from the majority of our specimen labels (10,879 out of 11,222). Only 770 out of the 2,226 individuals identified during this project collected their specimens in ODA listed countries. The highest contributors were: Richard Beddome (130 specimens), Charles Clarke (110), Hans Schlieben (98) and Nathaniel Wallich (79). The breakdown of records by ODA country can be seen in the chart below. “
From our data, we can see the peak decade of collection was the 1930s, with almost half (4,583 specimens or 49,43%) collected between 1900 and 1950 (Fig. 10).
This peak can be attributed to three of our most prolific collectors: Arthur Kerr, John Gossweiler and Georges Le Testu, all of whom were most active in the 1930s. The oldest specimen (BM013713473) was collected by Mark Catesby (1683-1749) in the Bahamas in 1726.they explain.
Both the Pterocarpus and Dalbergia genera include species that are used as expensive good quality timber that is prone to illegal logging. Many species such as Pterocarpus tinctorius are also listed on the International Union for Conservation of Nature (IUCN) Red List of Threatened Species. By releasing this new resource of information on all these plants from three of the biggest herbaria in the world, we can share this datа with the people who are taking care of biodiversity in these countries. The data can be used to identify hotspots, where the tree is naturally growing and protect these areas. These data would also allow much closer attention to be paid to areas that could be targets for illegal logging activity.