Literature DB >> 24859859

Growing stock and woody biomass assessment in Asola-Bhatti Wildlife Sanctuary, Delhi, India.

S P S Kushwaha1, S Nandy, Mohini Gupta.   

Abstract

Biomass is an important entity to understand the capacity of an ecosystem to sequester and accumulate carbon over time. The present study, done in collaboration with the Delhi Forest Department, focused on the estimation of growing stock and the woody biomass in the so-called lungs of Delhi--the Asola-Bhatti Wildlife Sanctuary in northern Aravalli hills. The satellite-derived vegetation strata were field-inventoried using stratified random sampling procedure. Growing stock was calculated for the individual sample plots using field data and species-specific volume equations. Biomass was estimated from the growing stock and the specific gravity of the wood. Among the four vegetation types, viz. Prosopis juliflora, Anogeissus pendula, forest plantation and the scrub, the P. juliflora was found to be the dominant vegetation in the area, covering 23.43 km(2) of the total area. The study revealed that P. juliflora forest with moderate density had the highest (10.7 m(3)/ha) while A. pendula forest with moderate density had the lowest (3.6 m(3)/ha) mean volume. The mean woody biomass was also found to be maximum in P. juliflora forest with moderate density (10.3 t/ha) and lowest in A. pendula forest with moderate density (3.48 t/ha). The total growing stock was estimated to be 20,772.95 m(3) while total biomass worked out to be 19,366.83 t. A strong correlation was noticed between the normalized difference vegetation index (NDVI) and the growing stock (R(2) = 0.84)/biomass (R(2) = 0.88). The study demonstrated that growing stock and the biomass of the woody vegetation in Asola-Bhatti Wildlife Sanctuary could be estimated with high accuracy using optical remote sensing data.

Entities:  

Mesh:

Substances:

Year:  2014        PMID: 24859859     DOI: 10.1007/s10661-014-3828-0

Source DB:  PubMed          Journal:  Environ Monit Assess        ISSN: 0167-6369            Impact factor:   2.513


  1 in total

1.  Biomass of tropical forests: a new estimate based on forest volumes.

Authors:  S Brown; A E Lugo
Journal:  Science       Date:  1984-03-23       Impact factor: 47.728

  1 in total
  1 in total

1.  Mapping aboveground woody biomass using forest inventory, remote sensing and geostatistical techniques.

Authors:  Bechu K V Yadav; S Nandy
Journal:  Environ Monit Assess       Date:  2015-05-01       Impact factor: 2.513

  1 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.