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Methods for biodiversity inventory of arboreal species

Abstract

This proposal has the objective of studying sampling methods for inventorying arboreal species in three biomas in the state of São Paulo, Brazil: Dense Humid Forest, Semi Deciduous Forest and Cerrado (Arboreal Savana). Each selected area will be analysed through the imagery of Landsat 7 or CBERS satellite, multispectral videography (blue, red and near infrared bands) and field survey. Lt will be evaluated the possibility of using the products of the remote sensing for mapping and stratification of the vegetation, in order to support field work. lt will be studied in two different seasons: dry and wet Three sampling methods will be compared for each type and stratum: simple random sampling, systematic sampling and cluster sampling. Also, it will be studied 4 methods of data collection in the field: fixed area plot, point sampling, quarter point, and crown intercept sampling. The efficiency of the methods will be compared. The biodiversity will be evaluated in the different scales of the surveys using indexes for measuring heterogeneity, richness and eveness. Besides of botanical identification of the trees, the 10 most abundant species will be characterized through the study of phytochemical products in order to establish connection among the three biomas. (AU)

Articles published in other media outlets (1 total):
Blog do Pedlowski: Degradação, uma ameaça contínua para a Mata Atlântica (04/Jan/2021)

Scientific publications
(References retrieved automatically from Web of Science and SciELO through information on FAPESP grants and their corresponding numbers as mentioned in the publications by the authors)
DE LIMA, RENATO A. F.; OLIVEIRA, ALEXANDRE A.; PITTA, GREGORY R.; DE GASPER, ANDRE L.; VIBRANS, ALEXANDER C.; CHAVE, JEROME; TER STEEGE, HANS; PRADO, PAULO I. The erosion of biodiversity and biomass in the Atlantic Forest biodiversity hotspot. NATURE COMMUNICATIONS, v. 11, n. 1 DEC 11 2020. Web of Science Citations: 0.

Please report errors in scientific publications list by writing to: cdi@fapesp.br.