Black History Month is a UK-wide celebration that takes place every October, acknowledging and raising awareness of the contribution that Black African and Caribbean communities have made in Britain and across the globe.We are excited to promote and profile the work of Black ecologists and evolutionary biologists across the British Ecological Society blogs.
My name is Dr. Samniqueka Halsey, and I am a computational ecologist. I use modelling and statistics to answer questions about the way the world works. In particular, I try to inform management actions about disease emergence and conservation with my models. I have worked on projects regarding Lyme disease, Chronic Wasting Disease and a dune thistle that is threatened by habitat fragmentation. I realized that I genuinely wanted to become an ecologist starting in my junior year of college when I took an ecology course. This class exposed me to the joys of fieldwork, going outside, and collecting data. Combined with a few more courses such as aquatic ecology where I could go out to streams and lakes to collect water samples and then go back to the lab to analyze, it was fascinating. I was even able to be a field technician in Arizona, where I helped to trap prairie dogs to collect blood and ectoparasites to test for the plague.
Land-use change in Europe is often typified by land-drainage to create arable fields.
Land-use change is largely accepted to be one of the major threats to biodiversity worldwide at the moment. At the same time, a warming climate means that species’ ranges need to move poleward – something that can be hampered by changing land use. Quantifying how land use has changed in the past can help us to understand how species diversity and distributions respond to environmental change.
Unfortunately, quantifying this change by digitizing historical maps is a pretty tedious business. It involves a lot of clicking around various landscape features in a desktop GIS program. So, in many cases, historical land use is only analyzed in a relatively small number of selected landscapes for each particular study. In our group at Stockholm University, we thought that it would be useful to digitize maps over much larger areas, making it possible to assess change in all types of landscape and assess biodiversity responses to land-use change at macroecological scales. The question was, how could we do this? Continue reading →
Habitat destruction and degradation represent serious threats to biodiversity, and quantification of land-use change over time is important for understanding the consequences of these changes to organisms and ecosystem service provision.
Historical land-use maps are important for documenting how habitat cover has changed over time, but digitizing these maps is a time consuming process. HistMapR is an R package designed to speed up the digitization process, and in this video we take an example map to show you how the method works.
Digitization is fast, and agreement with manually digitized maps of around 80–90% meets common targets for image classification. We hope that the ability to quickly classify large areas of historical land use will promote the inclusion of land-use change into analyses of biodiversity, species distributions and ecosystem services.
By charting the slopes and crags on animals’ teeth as if they were mountain ranges, scientists at the Smithsonian’s National Museum of Natural History have created a powerful new way to learn about the diets of extinct animals from the fossil record.
Understanding the diets of animals that lived long ago can tell researchers about the environments they lived in and help them piece together a picture of how the planet has changed over deep time. The new quantitative approach to analysing dentition, reported on 21 November in the journal Methods in Ecology and Evolution, will also give researchers a clearer picture of how animals evolve in response to changes in their environment.
A 3D reconstruction of the teeth of a western gorilla (Gorilla gorilla).
In this video Thomas Etherington shows how to use the NLMpy Python package to create neutral landscape models. The video demonstrates how the paper’s Supporting Information documentation, Python scripts, and GIS data can be used to create a the example neutral landscape models that are shown in the paper.
Recognising that some ecologists may not be very familiar with Python, the authors have also created a video that provides some advice about choosing a suitable scientific distribution of Python, and demonstrates how to install the NLMpy package itself.
From here you can send in correspondence about papers, as well as view other correspondence. We think that this is a really useful feature for a journal devoted to methods: corresp0ndence between authors and readers will be a useful resource, allowing discussion of techniques, refinement of methods, ironing out of problems as well as further suggestions for developments. We encourage readers and authors to use this to discuss papers. The site is fully moderated so all material appearing should be constructive and useful to all.
The methods digest for the last month will be appearing soon:- delayed largely as a consequence of volcano ash.