The study of biotic interactions in the Brazilian Cerrado as a path to the conservation of biodiversity

Del‐Claro, Kleber; Torezan‐Silingardi, Helena Maura

doi:10.1590/0001-3765201920180768

Cited by 9 publications

(4 citation statements)

References 10 publications

(8 reference statements)

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“…It is home to more than 7000 species of plants with high levels of endemism [53]. It includes three major types of natural vegetation: Open Cerrado, typically composed of grasses and small shrubs with a sporadic presence of small tree vegetation; Cerrado Sensu Stricto, a typical savanna formation, characterised by the presence of low, irregularly branched, thin-trunked trees; and Cerradão, a dry forest of medium-sized trees (up to 10-12 m) [54,55]. Its natural areas are being converted to agriculture at a fast pace, as it is one of the world's fast moving agricultural frontiers [56].…”

Section: Resultsmentioning

confidence: 99%

Satellite Image Time Series Analysis for Big Earth Observation Data

et al. 2021

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The development of analytical software for big Earth observation data faces several challenges. Designers need to balance between conflicting factors. Solutions that are efficient for specific hardware architectures can not be used in other environments. Packages that work on generic hardware and open standards will not have the same performance as dedicated solutions. Software that assumes that its users are computer programmers are flexible but may be difficult to learn for a wide audience. This paper describes sits, an open-source R package for satellite image time series analysis using machine learning. To allow experts to use satellite imagery to the fullest extent, sits adopts a time-first, space-later approach. It supports the complete cycle of data analysis for land classification. Its API provides a simple but powerful set of functions. The software works in different cloud computing environments. Satellite image time series are input to machine learning classifiers, and the results are post-processed using spatial smoothing. Since machine learning methods need accurate training data, sits includes methods for quality assessment of training samples. The software also provides methods for validation and accuracy measurement. The package thus comprises a production environment for big EO data analysis. We show that this approach produces high accuracy for land use and land cover maps through a case study in the Cerrado biome, one of the world’s fast moving agricultural frontiers for the year 2018.

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Section: Resultsmentioning

confidence: 99%

Satellite Image Time Series Analysis for Big Earth Observation Data

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“…The Cerrado vegetation contains several physiognomies, including dry forests and riparian forests (Del-Claro & Torezan-Silingardi, 2019). It is the most affected Brazilian biome by the agricultural expansion in its diverse phyto-physiognomies.…”

Section: Introductionmentioning

confidence: 99%

Establishment of native seedlings species as an indicator of ecological restoration of riparian forest, Cerrado, DF, Brazil

et al. 2023

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This study evaluated the survival of seedlings of native species of Cerrado - Brazil and its potential as an indicator of ecological restoration of riparian forests. The factors affecting survival were also analyzed. The experiment consisted of three planting models with three replications (T1 = nucleation: Anderson model; T2 = nucleation: Anderson model + artificial perches; T3 = filling line and diversity line). The influence of factors such as leaf herbivory, stem herbivory, absence of leaves (predation, dehydration or malnutrition) and sprouting/regrowth survival were assessed by cluster analysis. The survival rates ranged from 58.6 to 100% (average 73.6%). Out of eighteen species, fifteen showed survival rate above 60%, and could be potentially used in the restoration of degraded areas. The hierarchical clustering using survival efficiency and biotic factors resulted in the distinction of two groups of species with high frequency of leaves and stem herbivory, differing statistically (test “t”, p < 0.05) in the sprouting and regrowth. The survival efficiency shows potential of being used as a restoration indicator.

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“…O bioma Cerrado ocupa cerca de 23,3% do território brasileiro, com 1.983.017 km 2 (IBGE, 2019b), uma área semelhante à ocupada pela Europa Ocidental (DEL-CLARO et al, 2019), concentrando um terço da biodiversidade nacional, além de 5% da fauna e flora mundiais (MYERS et al, 2000;DIAS, 2008). Por ocupar a porção central do País, limita-se a todos os demais biomas, exceto o Pampa, com áreas de transição sob a forma de ecótonos ou encraves (ALENCAR et al, 2019;MACEDO et al, 2019;VIEIRA et al, 2019).…”

Section: Introductionunclassified

“…O bioma Cerrado é composto por diversas formações, como Matas de Galerias, Matas Secas, Cerradão, Veredas, Campos Rupestres e Campos úmidos, mas em geral predominam formações savânicas (RIBEIRO e WALTER, 1998;BASTOS e FERREIRA, 2010;DEL-CLARO et al, 2019). Essas variações são determinadas, de forma geral, por fatores edáficos e topográficos, como origem geológica, profundidade do solo, drenagem, presença de concreções no perfil, profundidade do lençol freático, textura e fertilidade do solo (HARIDASAN, 1992;LEHMANN et al, 2014;SOARES et al, 2015;IBGE, 2019b).…”

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Regularidade Ambiental Das Áreas De Reserva Legal Do Cerrado Brasileiro

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et al. 2022

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O bioma Cerrado possui relevância global para a conservação da biodiversidade, além de ser uma região importante para o desenvolvimento econômico do Brasil. Nesse cenário, as áreas de Reserva Legal, um dos principais mecanismos legais vigentes de proteção da vegetação nativa relacionados ao uso conservacionista do espaço rural brasileiro, assume papel relevante para a sustentabilidade do bioma. Este trabalho avaliou o cumprimento da legislação ambiental referente às áreas de Reserva Legal de imóveis rurais localizados no Cerrado brasileiro, sob o aspecto do cumprimento do percentual mínimo exigido pela Lei nº 12.651/2012. Foram analisados 905.837 imóveis rurais inscritos no Cadastro Ambiental Rural (CAR), nos quais, devem ser mantidos, no mínimo, 41.076.595,20 ha de Reserva Legal, segundo o art. 12 da Lei nº 12.651/2012. No entanto, foram delimitados no CAR apenas 34.604.030,95 ha, havendo um déficit de 6.472.564,25 ha. Do total de imóveis rurais analisados, 210.682 não delimitaram nenhuma informação de Reserva Legal no CAR. Daqueles que delimitaram, 292.164 imóveis rurais apresentaram déficit de 6.619.354,40 ha em relação à área mínima, enquanto 402.991 imóveis rurais alcançaram a área mínima exigida, aportando, ainda, 4.057.021,71 ha excedentes à área mínima de Reserva Legal exigida pela legislação.

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The study of biotic interactions in the Brazilian Cerrado as a path to the conservation of biodiversity

Abstract: How to cite: Del-ClARO K AND TOReZAN-SIlINgARDI HM. 2019. The study of biotic interactions in the Brazilian Cerrado as a path to the conservation of biodiversity. An Acad Bras Cienc 91: e20180769. DOI

Cited by 9 publications

References 10 publications

Satellite Image Time Series Analysis for Big Earth Observation Data

Satellite Image Time Series Analysis for Big Earth Observation Data

Establishment of native seedlings species as an indicator of ecological restoration of riparian forest, Cerrado, DF, Brazil

Regularidade Ambiental Das Áreas De Reserva Legal Do Cerrado Brasileiro

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