RESUMO
Improving our ability to monitor fragmented tropical ecosystems is a critical step in supporting the stewardship of these complex landscapes. We investigated the structural characteristics of vegetation classes in Ucayali, Peru, employing a co-production approach. The vegetation classes included three agricultural classes (mature oil palm, monocrop cacao, and agroforestry cacao plantations) and three forest regeneration classes (mature lowland forest, secondary lowland forest, and young lowland vegetation regrowth). We combined local knowledge with spaceborne lidar from NASA's Global Ecosystem Dynamics Investigation mission to classify vegetation and characterize the horizontal and vertical structure of each vegetation class. Mature lowland forest had consistently higher mean canopy height and lower canopy height variance than secondary lowland forest (µ = 29.40 m, sd = 6.89 m vs. µ = 20.82 m, sd = 9.15 m, respectively). The lower variance of mature forest could be attributed to the range of forest development ages in the secondary forest patches. However, secondary forests exhibited a similar vertical profile to mature forests, with each cumulative energy percentile increasing at similar rates. We also observed similar mean and standard deviations in relative height ratios (RH50/RH95) for mature forest, secondary forest, and oil palm even when removing the negative values from the relative height ratios and interpolating from above-ground returns only (mean RH50/RH95 of 0.58, 0.54, and 0.53 for mature forest, secondary forest, and oil palm, respectively) (p < .0001). This pattern differed from our original expectations based on local knowledge and existing tropical forest succession studies, pointing to opportunities for future work. Our findings suggest that lidar-based relative height metrics can complement local information and other remote sensing approaches that rely on optical imagery, which are limited by extensive cloud cover in the tropics. We show that characterizing ecosystem structure with a co-production approach can support addressing both the technical and social challenges of monitoring and managing fragmented tropical landscapes.
RESUMO
The cultural significance of the flora used by the native Asheninka Sheremashe community in Ucayali, Peru was determined. To do this, a fieldwork of over 4 months was conducted, involving semi-structured interviews with 106 residents through non-probabilistic convenience sampling. The community utilizes 139 plant species in their daily lives, belonging to 120 genera and 52 families, with the most abundant being Fabaceae, Arecaceae, Malvaceae, Solanaceae, Poaceae, and Rutaceae. Furthermore, 25.9% of the species are of significant importance to theinhabitants according to the Cultural Index (CI), such as Manihot esculenta, Theobroma cacao, Bixa orellana, Musa paradisiaca, Ficus insipida, among others. It can be concluded that the flora plays a prominent role in the life of the community, with the categories reporting the highest number of species being: food (29.35%), medicine (28.36%), culture (9.95%), construction (9.45%), lumber (6.97%), commerce (3.48%), craftsmanship (2.49%), toxic (2.49%), and other uses (7.46%)
Se determinó la importancia cultural de la flora empleada por la comunidad nativa Asheninka Sheremashe, en Ucayali, Perú. Para ello, se realizó un trabajo de campo de más de 4 meses, donde se aplicaron entrevistas semiestructuradas a 106 habitantes mediante un muestreo no probabilístico por conveniencia. La comunidad emplea 139 especies vegetales en su día a día, pertenecientes a 120 géneros y 52 familias; siendo las más abundantes las Fabaceae, Arecaceae, Malvaceae, Solanaceae, Poaceae y Rutaceae. Además, el 25.9% de las especies tiene gran importancia para los pobladores según el Índice Cultural (IC): Manihot esculenta, Theobroma cacao, Bixa orellana, Musa paradisiaca, Ficus insipida, entre otras. Se concluye que la flora tiene un rol preponderante en la vida de la comunidad, siendo las categorías que presentaron mayor reporte de especies: alimentación (29.35%), medicina (28.36%), cultura (9.95%), construcción (9.45%), aserrío (6.97%), comercio (3.48%), artesanía (2.49%), tóxico (2.49%) y otros usos (7.46%)