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Integrating project-based infrastructures with long-term greenhouse gas observations in Africa

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dc.contributor.author Bieri, M
dc.contributor.author Du Toit, J
dc.contributor.author Feig, G
dc.contributor.author Maluta, NE
dc.contributor.author Mantlana, Khanyisa B
dc.contributor.author Mateyisi, Mohau J
dc.contributor.author Midgley, GF
dc.contributor.author Mutanga, Shingirirai S
dc.contributor.author Von Maltitz, G
dc.contributor.author Brümmer, C
dc.date.accessioned 2024-03-15T07:44:55Z
dc.date.available 2024-03-15T07:44:55Z
dc.date.issued 2022-05
dc.identifier.citation Bieri, M., Du Toit, J., Feig, G., Maluta, N., Mantlana, K.B., Mateyisi, M.J., Midgley, G. & Mutanga, S.S. et al. 2022. Integrating project-based infrastructures with long-term greenhouse gas observations in Africa. <i>Clean Air Journal, 32(1).</i> http://hdl.handle.net/10204/13621 en_ZA
dc.identifier.issn 2410-972X
dc.identifier.issn 1017-1703
dc.identifier.uri http://dx.doi.org/10.17159/caj/2022/32/1.13081
dc.identifier.uri http://hdl.handle.net/10204/13621
dc.description.abstract There is a lack of long-term greenhouse gas (GHG) measurement infrastructures in Africa. This limits our understanding of the temporal dynamics of the biosphere-atmosphere exchange of carbon in response to climate change. Where relevant infrastructures have been established in externally funded research projects, they have often not been successfully transferred to local institutions at project termination, nor maintained in the long term. This leads to loss of capacity and continuity in primary data. We describe a collaborative approach where eddy-covariance (EC) towers for continuous long-term observation of carbon dioxide and energy fluxes were constructed under two consecutive German-funded research projects and designed to complement existing South African infrastructures. They will be transferred to partner institutions at project termination, supported by deliberate capacity building actions for long term sustainability. Joint activities were implemented to i) strengthen technical expertise for infrastructure maintenance, ii) introduce a new generation of academic scientists to the topic, iii) co-develop a training concept to enhance local capacity to continue teaching the topic, iv) improve the uptake and use of data by the research community, v) improve data use and access by stakeholders, and vi) facilitate knowledge exchange between institutions. Co-designed activities included training, apprenticeships and knowledge exchange, student exchange, co-supervision, and public outreach. Following a similar model in international research projects could significantly benefit 1) national capacity for emission inventories, 2) development of long-term GHG observation networks, and 3) the global scientific community via improved availability of data. While we specifically focus on a network of GHG observations, the principles are applicable for the infrastructure to observe other surface/atmosphere exchange processes or other long term observational infrastructure. en_US
dc.format Fulltext en_US
dc.language.iso en en_US
dc.relation.uri http://www.scielo.org.za/scielo.php?script=sci_arttext&pid=S2410-972X2022000100013 en_US
dc.source Clean Air Journal, 32(1) en_US
dc.subject Capacity development en_US
dc.subject Eddy covariance en_US
dc.subject Research collaboration en_US
dc.subject South African climate change en_US
dc.title Integrating project-based infrastructures with long-term greenhouse gas observations in Africa en_US
dc.type Article en_US
dc.description.pages 9 en_US
dc.description.note © 2022. The Author(s). Published under a Creative Commons Attribution Licence. en_US
dc.description.cluster Smart Places en_US
dc.description.impactarea HCC Management Area en_US
dc.description.impactarea Climate and Air quality modelling en_US
dc.description.impactarea Climate Services en_US
dc.identifier.apacitation Bieri, M., Du Toit, J., Feig, G., Maluta, N., Mantlana, K. B., Mateyisi, M. J., ... Brümmer, C. (2022). Integrating project-based infrastructures with long-term greenhouse gas observations in Africa. <i>Clean Air Journal, 32(1)</i>, http://hdl.handle.net/10204/13621 en_ZA
dc.identifier.chicagocitation Bieri, M, J Du Toit, G Feig, NE Maluta, Khanyisa B Mantlana, Mohau J Mateyisi, GF Midgley, Shingirirai S Mutanga, G Von Maltitz, and C Brümmer "Integrating project-based infrastructures with long-term greenhouse gas observations in Africa." <i>Clean Air Journal, 32(1)</i> (2022) http://hdl.handle.net/10204/13621 en_ZA
dc.identifier.vancouvercitation Bieri M, Du Toit J, Feig G, Maluta N, Mantlana KB, Mateyisi MJ, et al. Integrating project-based infrastructures with long-term greenhouse gas observations in Africa. Clean Air Journal, 32(1). 2022; http://hdl.handle.net/10204/13621. en_ZA
dc.identifier.ris TY - Article AU - Bieri, M AU - Du Toit, J AU - Feig, G AU - Maluta, NE AU - Mantlana, Khanyisa B AU - Mateyisi, Mohau J AU - Midgley, GF AU - Mutanga, Shingirirai S AU - Von Maltitz, G AU - Brümmer, C AB - There is a lack of long-term greenhouse gas (GHG) measurement infrastructures in Africa. This limits our understanding of the temporal dynamics of the biosphere-atmosphere exchange of carbon in response to climate change. Where relevant infrastructures have been established in externally funded research projects, they have often not been successfully transferred to local institutions at project termination, nor maintained in the long term. This leads to loss of capacity and continuity in primary data. We describe a collaborative approach where eddy-covariance (EC) towers for continuous long-term observation of carbon dioxide and energy fluxes were constructed under two consecutive German-funded research projects and designed to complement existing South African infrastructures. They will be transferred to partner institutions at project termination, supported by deliberate capacity building actions for long term sustainability. Joint activities were implemented to i) strengthen technical expertise for infrastructure maintenance, ii) introduce a new generation of academic scientists to the topic, iii) co-develop a training concept to enhance local capacity to continue teaching the topic, iv) improve the uptake and use of data by the research community, v) improve data use and access by stakeholders, and vi) facilitate knowledge exchange between institutions. Co-designed activities included training, apprenticeships and knowledge exchange, student exchange, co-supervision, and public outreach. Following a similar model in international research projects could significantly benefit 1) national capacity for emission inventories, 2) development of long-term GHG observation networks, and 3) the global scientific community via improved availability of data. While we specifically focus on a network of GHG observations, the principles are applicable for the infrastructure to observe other surface/atmosphere exchange processes or other long term observational infrastructure. DA - 2022-05 DB - ResearchSpace DO - 10.17159/caj/2022/32/1.13081 DP - CSIR J1 - Clean Air Journal, 32(1) KW - Capacity development KW - Eddy covariance KW - Research collaboration KW - South African climate change LK - https://researchspace.csir.co.za PY - 2022 SM - 2410-972X SM - 1017-1703 T1 - Integrating project-based infrastructures with long-term greenhouse gas observations in Africa TI - Integrating project-based infrastructures with long-term greenhouse gas observations in Africa UR - http://hdl.handle.net/10204/13621 ER - en_ZA
dc.identifier.worklist 26604 en_US
dc.identifier.worklist 27648 en_US


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