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Katja Heubach

Researcher at Goethe University Frankfurt

Publications -  4
Citations -  267

Katja Heubach is an academic researcher from Goethe University Frankfurt. The author has contributed to research in topics: Agriculture & Land use, land-use change and forestry. The author has an hindex of 4, co-authored 4 publications receiving 221 citations.

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The economic importance of non-timber forest products (NTFPs) for livelihood maintenance of rural west African communities: A case study from northern Benin

TL;DR: In this paper, the authors examined the income from non-timber forest products and the dependency on these of different socio-economic groups in Northern Benin using survey data from 230 households of two villages.
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Impact of Future Climate and Land Use Change on Non-timber Forest Product Provision in Benin, West Africa: Linking Niche-based Modeling with Ecosystem Service Values

TL;DR: In this paper, the impact of future climate and land use change on non-timber forest product provision in Benin, West Africa: Linking Niche-based Modeling with Ecosystem Service Values.
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Local Values, Social Differentiation and Conservation Efforts: The Impact of Ethnic Affiliation on the Valuation of NTFP-Species in Northern Benin, West Africa

TL;DR: In this article, the authors investigated differences in use preferences for native woody species in six categories of plant use and their economic returns among five ethnic groups in Northern Benin and found that both ethnic affiliation and location significantly impact species valuation.
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Willingness to be informed and to pay for agricultural extension services in times of climate change: the case of maize farming in northern Benin, West Africa

TL;DR: This paper explored farmers' willingness to be better informed about reaction options to climate change and to pay for agricultural extension as related to modes of adaptation to Climate change using a contingent valuation approach, and found that farmers were willing to pay more for documented climate change adaptation strategies than for climate change predictions.