IDEAS home Printed from https://ideas.repec.org/a/zib/zbnees/v4y2020i1p38-42.html
   My bibliography  Save this article

Estimation Of Carbon Stocks In Coffee Based Agroforestry And Adjacent Cupressus Lusitanica Plantation At Wondo Genet College, Southeast Ethiopia

Author

Listed:
  • Mengistu Teshome

    (BuleHora University, Bule Hora, Ethiopia)

  • Getachew Tadesse

    (Department of Geology, University of Port Harcourt, Nigeria)

  • Eyob Tadesse

    (Department of Forestry, Wondo Genet College of Forestry and Natural Resources, Shashemene, Ethiopia)

  • Firew Bekele

    (Fura College, Yirgalem, Ethipia)

  • Mesele Negash

    (Department of Forestry, Wondo Genet College of Forestry and Natural Resources, Shashemene, Ethiopia)

Abstract

The purpose of this study was to estimate biomass and soil organic carbon (SOC) stock in coffee based Agroforestry and Cupressus lusitanica plantation. A total of 20 plots of 10 m x 10 m were established systematically in coffee based Agroforestry and Cupressus lusitanica plantation to sample soil and vegetation data. The biomass of shade tree, coffee shrubs and Cupressus lusitanica was estimated by previous allometric equations.Variation in biomass carbon and SOC between the two land use types were tested using analysis of variance. The average amount of biomass carbon stored in coffee based Agroforestry was 109.96 Mg C ha-1. The proportion of total aboveground biomass carbon to the total biomass carbon stock was averaged 61.67% for coffee based Agroforestry.The average total biomass carbon was 74.24 Mg C ha-1 in Cupressus lusitanica plantation. Coffee based Agroforestry had accounted more SOC than Cupressus lusitanica plantation in 0-40 cm soil depth. Our study concluded that coffee based Agroforestry, compared with Cupressus lusitanica plantation, had generally higher biomass carbon and SOC stocks.

Suggested Citation

  • Mengistu Teshome & Getachew Tadesse & Eyob Tadesse & Firew Bekele & Mesele Negash, 2020. "Estimation Of Carbon Stocks In Coffee Based Agroforestry And Adjacent Cupressus Lusitanica Plantation At Wondo Genet College, Southeast Ethiopia," Environment & Ecosystem Science (EES), Zibeline International Publishing, vol. 4(1), pages 38-42, September.
  • Handle: RePEc:zib:zbnees:v:4:y:2020:i:1:p:38-42
    DOI: 10.26480/ees.01.2020.38.42
    as

    Download full text from publisher

    File URL: https://environecosystem.com/download/14634/
    Download Restriction: no

    File URL: https://libkey.io/10.26480/ees.01.2020.38.42?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:zib:zbnees:v:4:y:2020:i:1:p:38-42. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    We have no bibliographic references for this item. You can help adding them by using this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Zibeline International Publishing (email available below). General contact details of provider: https://environecosystem.com/ .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.