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      The impact of land cover change on the carbon stock of moist afromontane forests in the Majang Forest Biosphere Reserve

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          Abstract

          Backgorund

          Forest plays an important role in the global carbon cycle by sequestering carbon dioxide and thereby mitigating climate change. In this study, an attempt was made to investigate the effects of land use/land cover (LULC) change (1989–2017) on carbon stock and its economic values in tropical moist Afromontane forests of the Majang Forest Biosphere Reserve (MFBR), south-west Ethiopia. Systematic sampling was conducted to collect biomass and soil data from 140 plots in MFBR. The soil data were collected from grassland and farmland. InVEST modelling was employed to investigate the spatial and temporal distribution of carbon stocks. Global Voluntary Market Price (GVMP) and Tropical Economics of Ecosystems and Biodiversity (TEEB) analysis was performed to estimate economic values (EV) of carbon stock dynamics. Correlation and regression analyses were also employed to identify the relationship between environmental and anthropogenic impacts on carbon stocks.

          Results

          The results indicated that the above-ground carbon and soil organic carbon stocks were higher than the other remaining carbon pools in MFBR. The mean carbon stock (32.59 M tonne) in 2017 was lower than in 1989 (34.76 Mt) of MFBR. Similarly, the EV of carbon stock in 2017 was lower than in 1989. Elevation, slope, and harvesting index are important environmental and disturbance factors resulting in major differences in carbon stock among study sites in MFBR.

          Conclusions

          Therefore, the gradual reduction of carbon stocks in connection with LULC change calls for urgent attention to implement successful conservation and sustainable use of forest resources in biosphere reserves.

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          Most cited references108

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          AN EXAMINATION OF THE DEGTJAREFF METHOD FOR DETERMINING SOIL ORGANIC MATTER, AND A PROPOSED MODIFICATION OF THE CHROMIC ACID TITRATION METHOD

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            A large and persistent carbon sink in the world's forests.

            The terrestrial carbon sink has been large in recent decades, but its size and location remain uncertain. Using forest inventory data and long-term ecosystem carbon studies, we estimate a total forest sink of 2.4 ± 0.4 petagrams of carbon per year (Pg C year(-1)) globally for 1990 to 2007. We also estimate a source of 1.3 ± 0.7 Pg C year(-1) from tropical land-use change, consisting of a gross tropical deforestation emission of 2.9 ± 0.5 Pg C year(-1) partially compensated by a carbon sink in tropical forest regrowth of 1.6 ± 0.5 Pg C year(-1). Together, the fluxes comprise a net global forest sink of 1.1 ± 0.8 Pg C year(-1), with tropical estimates having the largest uncertainties. Our total forest sink estimate is equivalent in magnitude to the terrestrial sink deduced from fossil fuel emissions and land-use change sources minus ocean and atmospheric sinks.
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              Modeling multiple ecosystem services, biodiversity conservation, commodity production, and tradeoffs at landscape scales

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                Author and article information

                Contributors
                semetade@gmail.com
                Journal
                Carbon Balance Manag
                Carbon Balance Manag
                Carbon Balance and Management
                Springer International Publishing (Cham )
                1750-0680
                7 December 2023
                7 December 2023
                December 2023
                : 18
                : 24
                Affiliations
                [1 ]Centre for Environmental Science, College of Natural and Computational Sciences, Addis Ababa University, ( https://ror.org/038b8e254) Addis Ababa, Ethiopia
                [2 ]Department of Natural Resource Management, College of Agriculture and Natural Resource, Wolkite University, ( https://ror.org/009msm672) Welkite, Ethiopia
                [3 ]Department of Biology, College of Natural and Computational Sciences, Injibara University, Injibara, Ethiopia
                [4 ]Department of Land Management and Landscape Architecture, Faculty of Environmental Engineering and Land Surveying, University of Agriculture in Krakow, ( https://ror.org/012dxyr07) 21 Mickiewicza Street, Krakow, 31-120 Poland
                [5 ]TUM School of Life Sciences Weihenstephan, Institute of Forest Management, Technical University of Munich, ( https://ror.org/02kkvpp62) Hans-Carl-von-Carlowitz-Platz 2, 85354 Freising, Germany
                Author information
                http://orcid.org/0000-0001-6049-6309
                http://orcid.org/0000-0002-3680-0240
                http://orcid.org/0000-0002-3076-3768
                http://orcid.org/0000-0003-3777-2533
                http://orcid.org/0000-0001-6420-633X
                http://orcid.org/0000-0003-4026-8207
                Article
                243
                10.1186/s13021-023-00243-z
                10702131
                38060048
                87cd5f85-45c9-483a-818d-d1b7ff6395ec
                © The Author(s) 2023

                Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/. The Creative Commons Public Domain Dedication waiver ( http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated in a credit line to the data.

                History
                : 8 February 2023
                : 10 November 2023
                Categories
                Research
                Custom metadata
                © Springer Nature Switzerland AG 2023

                Environmental change
                land use/cover,carbon stock,environment and disturbance factors,invest model,africa

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