In 2005, the European Union imposed a ban in trade of wild exotic species as part of a package to control the sprea d of avian flu into the Continent. In a paper published in Science Advances we demonstrate that the ban reduced fluxes of trade in about 90%, from 1.3 million to 130 thousand birds traded. This mighty achievement had non predicted consequences: the market adjusted and new
Climate change is causing geographical redistribution of plant and animal species globally. These distributional shifts are leading to new ecosystems and ecological communities, changes that will affect human society. In a recent article published in Science, we review current and future impacts and assess their implications for sustainable development goals. Access to the original article can
I receive a substantial number of emails from students requesting to be considered for positions in my lab. Some candidates apply for positions that I have opened, whilst others take the initiative to contact me to see if I have some position on offer. This post is especially targeted to the latter case. The first impression you cause when you write such a message is critical. As one can easily
Babak Naimi is the programmer of sdm-R. Here some questions and answers related to the recent publication of this new software for species distributions modelling. What is sdm? sdm stands for "species distribution modelling", and is the name of an extensible and reproducible R package for modelling, evaluating, and projecting species potential distributions in space and time. It provides a
Ecography has just published a new software not article by Babak Naimi and Miguel Araújo featuring the new sdm R platform for species distributions modelling. Sdm R is an object-oriented, reproducible and extensible, platform for running models of species distribtions. It uses individual species and community-based approaches, enabling ensembles of models to be fitted and evaluated, to project
Simposium "Avances conceptuales y metodológicos de la teoría del nicho ecológico". Title of talk: "The A and B factor in species distributions modelling"
Climate change can drive species out of protected areas thus creating new challenges for conservation planning that typically assumes species distributions to remain static once they are protected. Researchers in the lab have been at the forefront of spatial conservation planning, particularly by providing assessments of climate change effects on protected areas (e.g., here, here, and here) and by
For the full set of talks in the event click here.
Photo by Stef Lewandowski and licensed under creative commons There is a longstanding discussion about the degree of model complexity that species distributions models have to have in order to maximise the usefulness of the predictions. A discussion that started with observations that more complex models were fitting species distributions data better than simpler models. See for example, Segurado
UK grassland trophic web. Artwork from food webs.org Even if serious gaps in knowledge of biodiversity remain, much progress has been made in determining how many different types of organisms exist, what evolutionary relationships connect different lineages to a common ancestor, and where different species are distributed. Much less is known about the types of interactions that exist among