Data for developing allometric models and evaluating carbon stocks of the Zambezi Teak Forests in Zambia
نویسندگان
چکیده
This paper presents data on carbon stocks of tropical tree species along a rainfall gradient. The data was generated from the Sesheke, Namwala, and Kabompo sites in Zambia. Though above-ground data was generated for all these three sites, we uprooted trees to determine below-ground biomass from the Sesheke site only. The vegetation was assessed in all three sites. The data includes tree diameter at breast height (DBH), total tree height, wood density, wood dry weight and root dry weight for large (≥ 5 cm DBH) and small (< 5 cm DBH) trees. We further presented Root-to-Shoot Ratios of uprooted trees. Data on the importance-value indices of various species for large and small trees are also determined. Below and above-ground carbon stocks of the surveyed tree species are presented per site. This data were used by Ngoma et al. (2018) [1] to develop above and below-ground biomass models and the reader is referred to this study for additional information, interpretation, and reflection on applying this data.
منابع مشابه
The Mangroves of the Zambezi Delta: Increase in Extent Observed via Satellite from 1994 to 2013
Mangroves are recognized for their valued ecosystem services provision while having the highest carbon density among forested ecosystems. Yet they are increasingly threatened by deforestation, conversion to agriculture and development, reducing the benefits they provide for local livelihoods, coastal protection and climate change mitigation. Accordingly, accurate estimates of mangrove area and ...
متن کاملDevelopment of an allometric model to estimate above-ground biomass of forests using MLPNN algorithm, case study: Hyrcanian forests of Iran
This research develops an allometric model for estimation of biomass based on the height and DBH of trees in the Hyrcanian forests of Iran. An accurate allometric model reduces the uncertainty of allometric equation in biomass estimation using radar images. In this study, 317 trees were selected randomly from the 4 different dominant tree species for the development of an allometric model cover...
متن کاملEstimation of biomass, carbon stocks and soil sequestration of Gowatr mangrove forests, Gulf of Oman
The mangrove forest ecosystem is known to possess a variety of ecosystem services, including high rates of carbon sequestration, storage and mitigating climate change through reduced deforestation. This study was carried out in the mangrove forests of Gowatr Bay, Gulf of Oman during 2017-18 to quantify biomass and carbon stocks of all components of this forest, including live and dead trees, so...
متن کاملErratum to: Allometric models and aboveground biomass stocks of a West African Sudan Savannah watershed in Benin
BACKGROUND The estimation of forest biomass changes due to land-use change is of significant importance for estimates of the global carbon budget. The accuracy of biomass density maps depends on the availability of reliable allometric models used in combination with data derived from satellites images and forest inventory data. To reduce the uncertainty in estimates of carbon emissions resultin...
متن کاملComparisons of allometric and climate-derived estimates of tree coarse root carbon stocks in forests of the United States
BACKGROUND Refined estimation of carbon (C) stocks within forest ecosystems is a critical component of efforts to reduce greenhouse gas emissions and mitigate the effects of projected climate change through forest C management. Specifically, belowground C stocks are currently estimated in the United States' national greenhouse gas inventory (US NGHGI) using nationally consistent species- and di...
متن کامل