2018
DOI: 10.1590/2175-7860201869438
|View full text |Cite
|
Sign up to set email alerts
|

Integrating remote sensing and phytosociology of the Atlantic Forest to map a small continental island in southeastern Brazil: subsidies to protect the habitat of critically endangered species

Abstract: Queimada Grande (QGI) is a small, legally protected island off the southeastern coast of Brazil that harbors two endemic and critically endangered herpetofauna species: the Golden Lancehead viper (Bothrops insularis) and a hylid frog (Scinax peixotoi); its vegetation, however, has been little studied. We integrated remote sensing and phytosociology of the Atlantic Forest on QGI to characterize the habitat of those two species and support their in situ conservation. QGI retains a mosaic of Atlantic Forest, rock… Show more

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
1

Citation Types

0
1
0

Year Published

2021
2021
2022
2022

Publication Types

Select...
2

Relationship

0
2

Authors

Journals

citations
Cited by 2 publications
(1 citation statement)
references
References 26 publications
0
1
0
Order By: Relevance
“…In addition, more detail can be added to physiognomy maps by adding floristic composition information, such as the importance value index of species (Rapinel et al 2018). These data can be obtained from phytosociological surveys and analysis (Hasmadi et al 2010;Kurtz et al 2018). Vegetation classification by using remote sensing systems has been an indispensable tool in the process of creating an updated vegetation map, as well as a basic requirement for monitoring landscapes (Foody & Cutler 2003;Giri et al 2011).…”
Section: Introductionmentioning
confidence: 99%
“…In addition, more detail can be added to physiognomy maps by adding floristic composition information, such as the importance value index of species (Rapinel et al 2018). These data can be obtained from phytosociological surveys and analysis (Hasmadi et al 2010;Kurtz et al 2018). Vegetation classification by using remote sensing systems has been an indispensable tool in the process of creating an updated vegetation map, as well as a basic requirement for monitoring landscapes (Foody & Cutler 2003;Giri et al 2011).…”
Section: Introductionmentioning
confidence: 99%