Dataset of the impacts of invasive alien species in Brazil.

Autor: Sampaio Franco, Ana Clara, da Rocha, Rosana Moreira, Pivello, Vania R., Magalhães, André Lincoln Barroso, de Castro, Camila Fediuk, da Cruz Neto, Claudiano C., da Silva Matos, Dalva M., Brown, George Gardner, Heringer, Gustavo, Saulino, Hugo Henrique Lanzi, Oliveira, Igor, Braga, Raul Rennó, Miranda, Ricardo Jessouroun, Mormul, Roger Paulo, Vitule, Jean Ricardo Simões
Předmět:
Zdroj: Ecological Research; May2024, Vol. 39 Issue 3, p380-390, 11p
Abstrakt: This dataset summarizes the research on the impacts of Invasive Alien Species (IAS) documented in Brazil from 1981 to 2022 and was used to subsidize the Brazilian Platform on Biodiversity and Ecosystem Services. Impacts of non‐native plants and animals, but not microorganisms and fungi, on terrestrial and aquatic (freshwater and marine) environments were included in this review. Most of the literature reviewed consisted of published articles, plus a few book chapters, dissertations, theses, and reports. We found 1003 records of ecological and economic impacts (970 negative and 33 positive) caused by 239 different species, as well as effects on people's well‐being. Understanding and assessing all ecological interactions of IAS in nature, as well as evaluating their contributions to humans, can be a complex task. However, the current scientific evidence from Brazil suggests that negative impacts of IAS are far more common than positive impacts, highlighting the importance of avoiding novel introductions. From a conservationist perspective, the simple presence of IAS may cause the negative impact of changing the original structure and processes of nature. This is of special concern in megadiverse countries like Brazil, where interactions among species are multiple and complex. Therefore, we believe this extensive review is an important contribution to the national knowledge of IAS and the improvement of global databases, which must be periodically reviewed. The complete dataset for this abstract published in the Data Article section of the journal is available in electronic format in MetaCat in JaLTER at http://db.cger.nies.go.jp/JaLTER/metacat/metacat/ERDP-2024-01.1/jalter-en. [ABSTRACT FROM AUTHOR]
Databáze: Complementary Index