alexa Abstract | Socioeconomic and Biophysical Factors Affecting Tree Richness and Diversity in Machakos County, Eastern Kenya


Open Access

OMICS International organises 3000+ Global Conferenceseries Events every year across USA, Europe & Asia with support from 1000 more scientific Societies and Publishes 700+ Open Access Journals which contains over 50000 eminent personalities, reputed scientists as editorial board members.

Open Access Journals gaining more Readers and Citations

700 Journals and 15,000,000 Readers Each Journal is getting 25,000+ Readers

This Readership is 10 times more when compared to other Subscription Journals (Source: Google Analytics)

Research Article Open Access

Abstract

Trees on farm play a vital role in providing diverse goods and services to those farmers practicing agroforestry in Kenya. Other than the environmental advantages of agroforestry such as carbon sequestration and species conservation, trees provide soil and microclimate enhancement, deliver fruits, medicines, fodder, timber and fuelwood. However, tree species richness and diversity are influenced by numerous socio-economic and biophysical factors as necessary knowledge for promotion of on-farm tree planting activities. The purpose of this study was to assess the effects of different socio-economic and biophysical factors on tree richness and diversity in smallholder farms in the study area. The study covered three broad agro-ecological zones i.e. Lower highlands, Upper midlands and Lower midlands along an elevation gradient in Machakos County, Eastern Kenya. Importance Value Index (IVI) was calculated to get the level of importance of different tree species. Correlations and stepwise multiple regression analysis were used to estimate the influence of the assessed socio-economic and biophysical variables on tree species richness, abundance and diversity. Tree diversity indices were calculated using MVSP to obtain Shannon index and Evenness. Cluster analysis based on the Minimum Variance method was used to partition samples into homogenous classes. A total of 102 tree species were recorded, including 42 exotic and 60 indigenous species. Exotic abundance was at 67% of all counted individuals while mean number of tree species was 12.7 ranging from 3-26 tree species per farm. Farm sizes ranged from 0.1 to 7.1 ha, with a mean size of 1.6 ha. Tree diversity was relatively high with a mean Shannon diversity index of 1.73 (range 0.46-2.53) and a mean Shannon evenness 0.70 (range 0.28-0.97). Based on the IVI, Grevillea robusta and Eucalyptus spp were among the top exotic timber and fuelwood species while Acacia seyal and Terminalia brownii topped the indigenous tree species for fuelwood. Mangifera indica and Persea americana presented fruit tree species with a high IVI and were all exotics. Tree species richness was positively influenced by farm size and market distance, but negatively by elevation, number of plots and gender. Tree abundance was positively influenced by farm size and number of plots. Farm size, however, had a strong negative effect on Shannon evenness. Cluster analysis resulted in six clusters and twelve (12) tree species were responsible for cluster formation. Results of this study can contribute to modify agroforestry programmes for implementing future tree planting activities for different target populations in various economic and environmental circumstances.

To read the full article Peer-reviewed Article PDF image

Author(s): Mutunga Christopher Ndolo, Najma Dharani* and Katja Kehlenbeck

Keywords

Cluster analysis, Shannon diversity index, Shannon evenness, Species richness, plant sciences and Environmental sciences

Recommended Journals

Share This Page

Additional Info

Loading
Loading Please wait..
 
 
Peer Reviewed Journals
 
Make the best use of Scientific Research and information from our 700 + peer reviewed, Open Access Journals
International Conferences 2017-18
 
Meet Inspiring Speakers and Experts at our 3000+ Global Annual Meetings

Contact Us

Agri, Food, Aqua and Veterinary Science Journals

Dr. Krish

agrifoodaquavet@omicsonline.com

1-702-714-7001 Extn: 9040

Clinical and Biochemistry Journals

Datta A

clinical_biochem@omicsonline.com

1-702-714-7001Extn: 9037

Business & Management Journals

Ronald

business@omicsonline.com

1-702-714-7001Extn: 9042

Chemical Engineering and Chemistry Journals

Gabriel Shaw

chemicaleng_chemistry@omicsonline.com

1-702-714-7001 Extn: 9040

Earth & Environmental Sciences

Katie Wilson

environmentalsci@omicsonline.com

1-702-714-7001Extn: 9042

Engineering Journals

James Franklin

engineering@omicsonline.com

1-702-714-7001Extn: 9042

General Science and Health care Journals

Andrea Jason

generalsci_healthcare@omicsonline.com

1-702-714-7001Extn: 9043

Genetics and Molecular Biology Journals

Anna Melissa

genetics_molbio@omicsonline.com

1-702-714-7001 Extn: 9006

Immunology & Microbiology Journals

David Gorantl

immuno_microbio@omicsonline.com

1-702-714-7001Extn: 9014

Informatics Journals

Stephanie Skinner

omics@omicsonline.com

1-702-714-7001Extn: 9039

Material Sciences Journals

Rachle Green

materialsci@omicsonline.com

1-702-714-7001Extn: 9039

Mathematics and Physics Journals

Jim Willison

mathematics_physics@omicsonline.com

1-702-714-7001 Extn: 9042

Medical Journals

Nimmi Anna

medical@omicsonline.com

1-702-714-7001 Extn: 9038

Neuroscience & Psychology Journals

Nathan T

neuro_psychology@omicsonline.com

1-702-714-7001Extn: 9041

Pharmaceutical Sciences Journals

John Behannon

pharma@omicsonline.com

1-702-714-7001Extn: 9007

Social & Political Science Journals

Steve Harry

social_politicalsci@omicsonline.com

1-702-714-7001 Extn: 9042

 
© 2008-2017 OMICS International - Open Access Publisher. Best viewed in Mozilla Firefox | Google Chrome | Above IE 7.0 version