Household dependence on forests around lobeke Nationa l Park, Cameroon

Tieguhong, Julius Chupezi; Nkamgnia, E.M.

doi:10.1505/146554812800923426

Cited by 33 publications

(36 citation statements)

References 33 publications

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“…Figure 5 presents some detail about the absolute and relative contributions of forest-related income to households in different income quintiles. These results are typical of the commonly reported trend whereby higher income households use greater amounts of forest products (and have higher absolute forest income) than lower income households, which have lower absolute forest income but a higher relative forest income (as a proportion of their total income; Byron & Arnold, 1999;Campbell & Luckert, 2002;Cavendish, 2000;Tieguhong & Nkamgnia, 2012;Vedeld, Angelsen, Bojö , Sjaastad, & Berg, 2007;Yemiru et al, 2010). This is because higher income households have high levels of cash income from other sources (especially off-farm sources), while lower income households have fewer income sources (see Figure 3), thus making their forest income proportionally more important.…”

Section: (E) the Contribution Of Forest-related Income To Household Esupporting

confidence: 68%

“…For example, a 24-country comparative study called the Poverty Environment Network (PEN, 2007a) is currently under way; focusing on household income generation from forest and environmental sources (data from this China case study are included). There are also a suite of recently published case-studies that investigate a range of forest-livelihood interactions, and show forest-related income contributions ranging from 6% to 45%; (Ambrose-Oji, 2003;Appiah et al, 2009;Babulo et al, 2008;Campbell & Luckert, 2002;Cavendish, 2000;Fisher, 2004;Illukpitiya & Yanagida, 2008;Mamo, Sjaastad, & Vedeld, 2007;McElwee, 2008;Shackleton, Shackleton, Buiten, & Bird, 2007;Takasaki, Barham, & Coomes, 2001;Tieguhong & Nkamgnia, 2012;Vedeld et al, 2004;Yemiru, Roos, Campbell, & Bohlin, 2010) levels that in some cases are equal to, or exceed the contributions from agriculture. The majority of such studies are, however, located in sub-Saharan African countries, and most are focused on forest-related income derived from natural forests only (i.e., environmental income).…”

Section: World Developmentmentioning

confidence: 99%

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The Role of Forest-Related Income in Household Economies and Rural Livelihoods in the Border-Region of Southern China

et al. 2013

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Section: (E) the Contribution Of Forest-related Income To Household Esupporting

confidence: 68%

Section: World Developmentmentioning

confidence: 99%

The Role of Forest-Related Income in Household Economies and Rural Livelihoods in the Border-Region of Southern China

et al. 2013

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“…Possibly, those who were employed were able to afford alternative products from the market, hence reducing reliance on forest products. Studies conducted from elsewhere found income from employment and other regular paid activities to be significantly and negatively influencing households' forest dependency (Hegde and Enters 2000;Mamo et al 2007;Tieguhong and Nkamgnia 2012). In these studies, extraction of NTFPs was not a preferred and regular activity but only indulged in during off-employment periods as a substitute.…”

Section: Discussionmentioning

confidence: 95%

Socio-economic factors influencing household forest dependency in Chobe enclave, Botswana

2017

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Introduction: Human dependence on forests is a multifaceted phenomenon. The degree of reliance on forests varies geographically, overtime and across communities. These dynamics underpin the importance of understanding the determinants of household reliance on forests for the long-term sustainable forest management and conservation. This paper presents an analysis of socio-economic determinants on the level of household forest dependency in Chobe enclave, Botswana. The study hypothesised that the level of household forest dependency will significantly differ across a range of socio-economic factors. Methods: Data was collected through a structured questionnaire survey of 183 households, randomly selected from three communities bordering Chobe Forest Reserve. Binary logistic regression model was used for analysing data. Results: Results showed that age and education significantly influenced household reliance on forests, while other socio-economic factors were not significant. Forest dependency was observed to be decreasing with an increase on both respondent age and educational level. Therefore, the youth were likely to be more reliant on forest products compared to their elderly counterpart while higher educational attainment lessened reliance on forest products. Conclusion: In order to foster a balance between forest dependency and biodiversity conservation, alternative opportunities and provision and access to higher education aimed at diversifying young people's livelihood activities are vital in reducing forest dependency, hence protecting forests for posterity.

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“…Puustjarvy et al [40] reported a contribution from forest products to total household income of about 50 % in Luapula and Northwestern Provinces of Zambia. NTFPs are particularly important in supporting poor households because of inexpensive extraction technology and ease of access [41,42] even though a minimum level of technical skills is required for a fruitful exploitation of the forest.…”

Section: Discussionmentioning

confidence: 99%

Poverty and poor education are key determinants of high household food insecurity among populations adjoining forest concessions in the Congo Basin

et al. 2016

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Background: The trees and non-timber forest products (NTFPs) of the Congo Basin play a key role in alleviating food insecurity among millions of people around the world. Although many studies have been conducted both nationally and regionally on issues of food insecurity in the Congo Basin, little is known on the effects of timber exploitation on household food insecurity statues of forest dependent communities in this region. This study focused on the determination of the principal indicators of household food security status of populations living around six selected forest concessions in the Congo Basin. Method: We randomly surveyed 724 households in thirty-four communities living in six popular forest concessions around the Congo Basin. Food consumption pattern data was collected using a validated food-frequency questionnaire in 2012. Household Food Insecurity Access Prevalence (HFIAP) was assessed using the HFIAP indicator and households were categorized into four levels of household food insecurity status as follows: Food secure (HFIAS = 0); mildly food insecure (HFIAS 1-8); moderately food insecure (HFIAS 9-13); and severely food insecure . Results: The majority of the households interviewed were headed by women (73.1 %, 76.6 %, and 58.6 % for Cameroon, DRC and Gabon respectively), most of them married (84.6 %, 100 %, 57.6 % for Cameroon, DRC and Gabon respectively) with an average age range of 30-49 years. Most of the household members were engaged in farming and/or illegal logging as the main revenue generating activities. Results of global household food insecurity categorized 63.8 % of households in Cameroon as fully food secure and 36 % as food insecure. In the DRC (92.9 %) and Gabon (92.7 %), almost all the survey households were categorized as either moderately or severely food insecure; clearly elucidating the existence of severe insufficiency in the quantity and quality of food meant for human nutrition in these areas. The means of household food insecurity scores for the DRC (17.40 ± 4.15) and Gabon (14.9 ± 5.87) were significantly higher when compared to the average score for Cameroon ((7.55 ± 6.62) at p < 0.0001. This literally means that many of the households especially in DRC and Gabon face enormous difficulties in obtaining an adequate dietary energy supply. Gender (female), educational level (illiterate), and age (young) were positively correlated to food insecurity levels.

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Household dependence on forests around lobeke Nationa l Park, Cameroon

Cited by 33 publications

References 33 publications

The Role of Forest-Related Income in Household Economies and Rural Livelihoods in the Border-Region of Southern China

The Role of Forest-Related Income in Household Economies and Rural Livelihoods in the Border-Region of Southern China

Socio-economic factors influencing household forest dependency in Chobe enclave, Botswana

Poverty and poor education are key determinants of high household food insecurity among populations adjoining forest concessions in the Congo Basin

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