Ocorrência da espécie arbórea exótica invasora Hovenia dulcis no estado de Santa Catarina

Lima, Carla Luciane; Oliveira, Francisco Henrique de; Sothe, Camile; Alves, Felipe Echenique

doi:10.5902/2179460x42748

Cited by 2 publications

(2 citation statements)

References 16 publications

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“…10 In the subtropical forests of southern Brazil, numerous IAS have been reported, including Pinus taeda and Pinus ellioti, Acacia podalyriifolia, Handroanthus chrysotrichus, Japonian eriobotrya, Ligustrum lucidum, Psidium guajava, and Hovenia dulcis. [11][12][13] These species have low demands in their habitat, reproduce rapidly, and hinder the growth of other plants. 14 IAS represent a persistent challenge for the management of protected areas, associated with high economic costs for detection and control efforts.…”

Section: Introductionmentioning

confidence: 99%

Identification of invasive trees in a Brazilian subtropical forest using remotely piloted aircraft systems and machine learning

da Silva,

Eugenio,

Fantinel

et al. 2023

J. Appl. Rem. Sens.

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Section: Introductionmentioning

confidence: 99%

Identification of invasive trees in a Brazilian subtropical forest using remotely piloted aircraft systems and machine learning

da Silva,

Eugenio,

Fantinel

et al. 2023

J. Appl. Rem. Sens.

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“…The introduction of H. dulcis in the region is commented by Lima et al (2021) who report that the occurrence of the species has been present since the 1980s. In addition, some producers still deliberately cultivate the species in degraded areas or on the edges of dams, with a tendency to form dense clusters preventing the development of native species (Carvalho 1994, Mundeleski et al 2008.…”

Section: Introduction Historymentioning

confidence: 99%

Ethnoecology for the control of Hovenia dulcis in the deciduous seasonal forest Santa Catarina, Brazil

Silva

Novicki

Santos

et al. 2022

Ethnobot. Res. App.

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Background: The Deciduous Seasonal Forest (DSF) is one of the most abundant phytophysiognomies in Santa Catarina State / Brasil. However, it is severely impacted by fragmentation and introduction of invasive exotic species. In this scenario, the Hovenia dulcis is a species with a high degree of biological invasion, including in protected areas as the Fritz Plaumann State Park/Santa Catarina. Our objective was to understand the history of introduction of this invasive species in the park area, as well as to identify plant species with the potential to replace H. dulcis. Methods: Semi-structured interviews were carried out with informants residing in the Park's Buffer Zone (BZ). As base data for analysis, we use citations of use and the potential replacement species. For the complementary analysis, the consensus value or level of fidelity for the uses was estimated. To investigate the introduction history of the species in the study region, a literature search was conducted on the use of H. dulces.Results: Twenty-four informants were interviewed. The uses related to H. dulcis comprised thirteen citations. In the analysis of rapid ordering, firewood (23.25) was the most cited use. A total of thirty-four cited species with the potential to replace H. dulcis was obtained. The species' introduction history confirmed the technical indication as one of the main stimulators of the species' expansion in the region.Conclusions: Results demonstrate that the species is considered, by farmers, technically suitable for cultivation in the BZ of the Park. Hence the importance of highlighting other species with a greater or equal level of biological characteristics to replace H. dulcis.

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Ocorrência da espécie arbórea exótica invasora Hovenia dulcis no estado de Santa Catarina

Abstract: Artigo publicado por Ciência e Natura sob uma licença CC BY-NC-SA 4.0. Geociências Ocorrência da espécie invasora Hovenia dulcis no Estado de Santa CatarinaOccurrence of the invasive species Hovenia dulcis in the State of Santa Catarina

Cited by 2 publications

References 16 publications

Identification of invasive trees in a Brazilian subtropical forest using remotely piloted aircraft systems and machine learning

Identification of invasive trees in a Brazilian subtropical forest using remotely piloted aircraft systems and machine learning

Ethnoecology for the control of Hovenia dulcis in the deciduous seasonal forest Santa Catarina, Brazil

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