dc.contributor.author |
Bieri, M
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|
dc.contributor.author |
Du Toit, J
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|
dc.contributor.author |
Feig, G
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dc.contributor.author |
Maluta, NE
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dc.contributor.author |
Mantlana, Khanyisa B
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dc.contributor.author |
Mateyisi, Mohau J
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dc.contributor.author |
Midgley, GF
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dc.contributor.author |
Mutanga, Shingirirai S
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dc.contributor.author |
Von Maltitz, G
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dc.contributor.author |
Brümmer, C
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dc.date.accessioned |
2024-03-15T07:44:55Z |
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dc.date.available |
2024-03-15T07:44:55Z |
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dc.date.issued |
2022-05 |
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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 |
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dc.identifier.issn |
1017-1703 |
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dc.identifier.uri |
http://dx.doi.org/10.17159/caj/2022/32/1.13081
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|
dc.identifier.uri |
http://hdl.handle.net/10204/13621
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|
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 |