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Evaluating the Potential Contribution of Non-timber Forest Products (NTFPs) to Smallholder Farmers in Semi-arid and Arid Regions: A case of Chivi, Zimbabwe
No full textFood insecurity in most dry regions in Zimbabwe has taught many people a lesson of using non timber forest products (NTFPs) to reduce food insecurity and improve livelihoods as well as poverty alleviation. The aim of the study was to evaluate the potential contribution of non-timber forest products to smallholder farmers in arid and semi-arid regions. The research was carried out as a survey and data was collected using interviews, questionnaires and focus group discussion. Data was analysed for descriptive statistics using IBM SPSS version 25. Results indicated that 64 % were females and 36 % were males with the majority of participants being married (57.6 %) with only 8.8 % being widowed. Results show that all respondents (100%) indicated that they obtain fruits from the forests as a major source of food during winter and rain season. Vegetables (84.2 %), thatching grass (80.8%) and edible worms (62.5 %) were also major non-timber forest products obtained from the forests by participants. All participants (100%) indicated that income generation, firewood and source of heat for brick moulding were major benefits they obtain from forest with vegetables (74.2 %), brooms (91.7 %) and improved nutrition (85.0 %) being regarded as other important benefits enjoyed by local people from forests. Afforestation and reforestation were regarded as major sustainable forest management practices by all (100%) participants with agroforestry being indicated by only 12.5 % since people had no knowledge about it. NTFPs has capacity of improving food security, human livelihoods and alleviate poverty. People are encouraged to harvest NTFPs sustainably to allow future use. Use of agroforestry can be a best way for managing forests sustainably, improve food security, crop yield, poverty alleviation and climate change mitigation
Going Beyond Counting First Authors in Author Co-citation Analysis
Get PDFThe present study examines one of the fundamental aspects of author co-citation analysis (ACA) - the way co-citation
counts are defined. Co-citation counting provides the data on which all subsequent statistical analyses and mappings
are based, and we compare ACA results based on two different types of co-citation counting - the traditional type that
only counts the first one among a cited work's authors on the one hand and a non-traditional type that takes into
account the first 5 authors of a cited work on the other hand. Results indicate that the picture produced through this non-traditional author co-citation counting contains more coherent author groups and is therefore considerably clearer. However, this picture represents fewer specialties in the research field being studied than that produced through the traditional first-author co-citation counting when the same number of top-ranked authors is selected and analyzed. Reasons for these effects are discussed
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