Fig. 3 | Scientific Reports

Fig. 3

From: Combining remote sensing with local knowledge is vital for understanding forest change in West Africa

Fig. 3The alternative text for this image may have been generated using AI.

Demographic characteristics of household survey respondents across forest-adjacent communities in Togo, Benin, Nigeria, and Cameroon. (a) Highest education level attained (categorized as no formal education, primary, secondary/high school, tertiary), (b) Gender distribution (percentage of male and female respondents), (c) Main occupation/profession of respondents (categorized as crafts and trades, farming, household roles, hunters, unemployed, or others), (d) Age distribution (categorized into age brackets: 20–35, 35–50, 50–65, and > 65 years), (e) Residency duration in community (categorized as < 5, 5–10, 10–15, 15–20, and > 20 years), and (f) Household size (number of individuals per household). Data were collected from a total of 2,621 households surveyed between October 2022 and March 2023 across nine forest patches: Agou (n = 351), Elavagnon-Todji (n = 306), and Koui (n = 150) in Togo; Ewè-Adakplamè (n = 307) and Hlanzoun (n = 312) in Benin; Iko (n = 344) and Ikot (n = 377) in Nigeria; and Mbangassina (n = 302) and Ngam-Kondomeyos (n = 172) in Cameroon.

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