Githumbi, E., Marchant, R. & Olago, D. (2020) Using the Past to Inform a Sustainable Future: Palaeoecological Insights from East Africa. Africa and the Sustainable Development Goals (ed. by M. Ramutsindela & D. Mickler), pp. 187-195. Springer Nature, Switzerland AG. DOI: 10.1007/978-3-030-14857-7_18
An African Pollen Database data steward training event was held at the Institute for Biodiversity & Ecosystem Dyanmics (University of Amsterdam, 27-29 January 2020) where training in the use of the Neotoma database was provided by Eric Grimm. The participants are now enabled curate and archive data within Neotoma. If you have a palaeoecological data set that you would like to contribute to Neotoma, or if you would like training as well, these people can now help you. Contact details below:
Pollen data recorded in Neotoma for Africa on 24 January 2020. Hopefully after the data steward training event we will have a few more dots on the map, and the potential for many more.
We are delighted to be able to host sixteen researchers of many nationalities conducting research in many different countries. The aim of the training event is to provide researchers with the skills to manage Neotoma and strengthen the African pollen research community. I am excited to be involved, I am confidence that much new research will be brought together, and I hope that we can get good plans in place for further steps and growth of this network.
REFERENCES Vincens, A., Lézine, A.-., Buchet, G., Lewden, D. & Le Thomas, A. (2007) African pollen database inventory of tree and shrub pollen types. Review of Palaeobotany and Palynology 145, 135-141. DOI: 10.1016/j.revpalbo.2006.09.004
Williams, J.W., Grimm, E.C., Blois, J.L., Charles, D.F., Davis, E.B., Goring, S.J., Graham, R.W., Smith, A.J., Anderson, M., Arroyo-Cabrales, J., Ashworth, A.C., Betancourt, J.L., Bills, B.W., Booth, R.K., Buckland, P.I., Curry, B.B., Giesecke, T., Jackson, S.T., Latorre, C., Nichols, J., Purdum, T., Roth, R.E., Stryker, M. & Takahara, H. (2018) The Neotoma Paleoecology Database, a multiproxy, international, community-curated data resource. Quaternary Research 89, 156-177. DOI: 10.1017/qua.2017.105