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https://doi.org/10.21203/rs.3....
Article . 2022 . Peer-reviewed
License: CC BY
Data sources: Crossref
https://dx.doi.org/10.60692/5g...
Other literature type . 2022
Data sources: Datacite
https://dx.doi.org/10.60692/jx...
Other literature type . 2022
Data sources: Datacite
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Six decades of ground-based climate monitoring indicate warming and increasing precipitation seasonality and intensity in Yangambi (central Congo basin)

تشير ستة عقود من رصد المناخ الأرضي إلى الاحترار وزيادة موسمية وكثافة هطول الأمطار في يانجامبي (حوض الكونغو الأوسط)
Authors: Emmanuel Kasongo Yakusu; Joris Van Acker; Hans Van de Vyver; Nils Bourland; José Mbifo Ndiapo; Théophile Besango Likwela; Michel Lokonda Wa Kipifo; +10 Authors

Six decades of ground-based climate monitoring indicate warming and increasing precipitation seasonality and intensity in Yangambi (central Congo basin)

Abstract

Abstract Meteorological stations are rare in the tropics and satellite products often do not perform optimal. This leads to uncertainty in modelled regional climatic trends and may lead to opposing trends in prediction of future climate. This is particularly problematic for the Congo basin, where station coverage decreased significantly during the last few decades. Therefore, here we present a newly digitised dataset of daily temperature and precipitation from the Yangambi biosphere reserve, covering the period 1960 - 2020 (61 years) and located in the heart of the Congo basin. Our results confirm a long-term increase in temperature and temperature extremes since the 1960s, with strong upward trends since the early 1990s. Our results also indicate a drying trend for the dry season and intensification of the wet season since the early 2000s. Ongoing warming and increasing precipitation seasonality and intensity already has a significant impact on crop yields in Yangambi. This calls for urgent development of climate-smart and dynamic agriculture and agroforestry systems. We conclude that systematic digitization and climate recording in the Congo basin will be critical to improve much-needed gridded benchmark datasets of climatic variables.

Keywords

Cartography, Dry season, Precipitation, Environmental science, Meteorology, Pathology, Climate change, Biology, Climatology, Vegetation Monitoring, Ecology, Geography, Humid subtropical climate, Tropics, Paleontology, Agriculture, Geology, Remote Sensing in Vegetation Monitoring and Phenology, Seasonality, FOS: Earth and related environmental sciences, Structural basin, Archaeology, FOS: Biological sciences, Environmental Science, Physical Sciences, Medicine

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citations
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
2
Average
Average
Average
hybrid