Invasive species are one of the greatest threats to biodiversity, food security, and ecosystem health. When non-native plants spread into new environments, they can outcompete native species, disrupt habitats, and cause long-lasting damage to the natural habitats and the services that ecosystems provide to humans. Continue reading Using machine learning to predict invasion success
Las especies invasoras representan una de las mayores amenazas para la biodiversidad, la seguridad alimentaria y la salud de los ecosistemas. Cuando las plantas no-nativas se propagan en nuevos ambientes, pueden desplazar a las especies nativas, alterar los hábitats y causar daños severos a los ecosistemas y a los servicios ecosistémicos que estos brindan a los seres humanos. Continue reading Inteligencia artificial para predecir el éxito de las invasiones biológicas
Marcella do Carmo Pônzio and Nielson Pasqualotto summarise their latest research in which they and colleagues investigated the effects of landscape heterogeneity and native vegetation cover on richness and composition of native and invasive mammals, across 55 landscapes in the Brazilian Savanna, Cerrado. A global process and a knowledge gap Intensive agriculture has significantly transformed landscapes by replacing native habitats and diversified small-scale farming into … Continue reading Landscape heterogeneity as a management tool to offset negative effects of habitat loss in agroecosystems
Senior Editor, Martin A. Nuñez, introduces November’s Editor’s Choice article by Cadotte and colleagues, which proposes a novel application of invasion biology in an urban environment. Biological invasions are a big problem for the economy, environment, and human health. As a result, there exists a deep theoretical framework that has developed over the last four decades, fueled by data from numerous invasive species across the … Continue reading Editor’s Choice 58:11: Invasion theory as a management tool for increasing native biodiversity in urban ecosystems
The Applied Ecologist 