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The effects of land cover change on carbon stock dynamics in a dry Afromontane forest in northern Ethiopia

Overview of attention for article published in Carbon Balance and Management, September 2018
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Title
The effects of land cover change on carbon stock dynamics in a dry Afromontane forest in northern Ethiopia
Published in
Carbon Balance and Management, September 2018
DOI 10.1186/s13021-018-0103-7
Pubmed ID
Authors

Negasi Solomon, Opoku Pabi, Ted Annang, Isaac K. Asante, Emiru Birhane

Abstract

Forests play an important role in mitigating global climate change by capturing and sequestering atmospheric carbon. Quantitative estimation of the temporal and spatial pattern of carbon storage in forest ecosystems is critical for formulating forest management policies to combat climate change. This study explored the effects of land cover change on carbon stock dynamics in the Wujig Mahgo Waren forest, a dry Afromontane forest that covers an area of 17,000 ha in northern Ethiopia. The total carbon stocks of the Wujig Mahgo Waren forest ecosystems estimated using a multi-disciplinary approach that combined remote sensing with a ground survey were 1951, 1999, and 1955 GgC in 1985, 2000 and 2016 years respectively. The mean carbon stocks in the dense forests, open forests, grasslands, cultivated lands and bare lands were estimated at 181.78 ± 27.06, 104.83 ± 12.35, 108.77 ± 6.77, 76.54 ± 7.84 and 83.11 ± 8.53 MgC ha-1 respectively. The aboveground vegetation parameters (tree density, DBH and height) explain 59% of the variance in soil organic carbon. The obtained estimates of mean carbon stocks in ecosystems representing the major land cover types are of importance in the development of forest management plan aimed at enhancing mitigation potential of dry Afromontane forests in northern Ethiopia.

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 196 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 196 100%

Demographic breakdown

Readers by professional status Count As %
Student > Master 25 13%
Student > Ph. D. Student 24 12%
Researcher 19 10%
Student > Doctoral Student 17 9%
Lecturer 14 7%
Other 19 10%
Unknown 78 40%
Readers by discipline Count As %
Environmental Science 46 23%
Agricultural and Biological Sciences 32 16%
Earth and Planetary Sciences 10 5%
Engineering 4 2%
Unspecified 3 2%
Other 9 5%
Unknown 92 47%