_____________________________________________________________________________________________________ *Corresponding author: E-mail: ligateelly@yahoo.com; Journal of Geography, Environment and Earth Science International 9(4): 1-12, 2017; Article no.JGEESI.32300 ISSN: 2454-7352 SCIENCEDOMAIN international www.sciencedomain.org Contribution of Tanzania Southern Highlands Forest Diversity to Household Income and Food Supplements: The Case of Mufindi District in Tanzania David K. Msola 1 , Elly J. Ligate 2,3* , Can Chen 2 and Chengzhen Wu 2 1 St. John's University of Tanzania, P.O.Box 47, Dodoma, Tanzania. 2 Department of Ecology, College of Forestry, Fujian Agriculture and Forestry University, Fuzhou 350002, P. R. China. 3 Department of Biological Sciences, Faculty of Science, Sokoine University of Agriculture, P.O.Box 3038, Morogoro, Tanzania. Authors’ contributions This work was carried out in collaboration between all authors. Author DKM designed the study, performed the statistical analysis and wrote the first draft of the manuscript. Authors EJL and CC managed the analyses of the study. Author CW managed the literature searches. All authors read and approved the final manuscript. Article Information DOI: 10.9734/JGEESI/2017/32300 Editor(s): (1) Mohamed Nageeb Rashed, Department of Chemistry, Aswan University, Egypt. Reviewers: (1) Debraj Sarma, Gauhati University, Assam, India. (2) Eneji, Chris-Valentine Ogar, University of Calabar, Nigeria. Complete Peer review History: http://www.sciencedomain.org/review-history/18544 Received 19 th February 2017 Accepted 3 rd April 2017 Published 6 th April 2017 ABSTRACT Aims: Understanding the role played by forest diversity to supply non-timber forest products for income and food supplements of households is important in forest management and human life. This study was conducted to investigate the role played by non-timber forest products and their implications on income and food supplements in Mufindi District in Tanzania. Methodology: A cross section field survey research methodology was used in this study. Six representative villages in three wards; Rugemba, Igowole and Sadan located within 30 Km to forest Original Research Article