2022
DOI: 10.1186/s13717-022-00387-9
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Floristic composition, growth temperament and conservation status of woody plant species in the Cameroonian tropical rainforests

Abstract: Introduction Cameroon’s tropical rainforests are nowadays strewn with rural forests maintained by local populations; however, these forests are not officially recognized in the non-permanent forest domain. Rural forests are non-delimited riparian areas within the dense moist forest, reserved for rural housing, agricultural activities and agroforestry practices, freely exploited by the local communities for their livelihood without them having any rights to artisanal and commercial logging. This… Show more

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Cited by 2 publications
(13 citation statements)
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“…A systematic sampling procedure was used to collect data on vegetation and human activities following Kengne et al (2022); Shiferaw et al (2019); Yirga et al (2019). In June 2015, after a reconnaissance survey of the forest, six parallel transects separated from each other by 1 km intervals were systematically laid out across the forest running from the Northwest to the Southeast of ECFR (Figure 1).…”
Section: Methodsmentioning
confidence: 99%
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“…A systematic sampling procedure was used to collect data on vegetation and human activities following Kengne et al (2022); Shiferaw et al (2019); Yirga et al (2019). In June 2015, after a reconnaissance survey of the forest, six parallel transects separated from each other by 1 km intervals were systematically laid out across the forest running from the Northwest to the Southeast of ECFR (Figure 1).…”
Section: Methodsmentioning
confidence: 99%
“…A total of 272 nested quadrats were then placed systematically at every 100 m interval (starting from the forest edge) and alternating from left and right on the six transects following similar procedures by Fashing et al (2004); Kengne et al (2022); Yirga et al (2019). The nesting of the quadrats involved laying out main plots within which subplots were then embedded.…”
Section: Sampling Proceduresmentioning
confidence: 99%
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