Occupancy surveys are widely used in ecology to study wildlife and plant habitat use. To account for imperfect detection probability many researchers use occupancy models. But occupancy probability estimates for rare species tend to be biased because we’re unlikely to observe the animals at all and as a result, the data aren’t very informative. In their new article – ‘Occupancy surveys with conditional replicates: An … Continue reading Conditional Occupancy Design Explained
This issue contains three Applications articles (one of which is Open Access) and one additional Open Access article. These four papers are freely available to everyone, no subscription required.
– BioEnergeticFoodWebs: An implementation of Yodzis & Innes bio-energetic model, in the high-performance computing language Julia. This package can be used to conduct numerical experiments in a reproducible and standard way.
–Controlled plant crosses: Chambers which allow you to control pollen movement and paternity of offspring using unpollinated isolated plants and microsatellite markers for parents and their putative offspring. This system has per plant costs and efficacy superior to pollen bags used in past studies of wind-pollinated plants.
–The Global Pollen Project: The study of fossil and modern pollen assemblages provides essential information about vegetation dynamics in space and time. In this Open Access Applications article, Martin and Harvey present a new online tool – the Global Pollen Project – which aims to enable people to share and identify pollen grains. Through this, it will create an open, free and accessible reference library for pollen identification. The database currently holds information for over 1500 species, from Europe, the Americas and Asia. As the collection grows, we envision easier pollen identification, and greater use of the database for novel research on pollen morphology and other characteristics, especially when linked to other palaeoecological databases, such as Neotoma.
We coined the term “soft sweeps” in 2005. The term has since become widely used, though not everyone uses the term in the same way. As part of the ‘How to Measure Natural Selection‘ Special Feature in Methods in Ecology and Evolution, we attempt to clarify what “soft sweep” means and doesn’t mean. For example, not every sweep from standing genetic variation is necessarily a … Continue reading Why Soft Sweeps from Standing Genetic Variation are More Likely than You May Think
Understanding how and why some individuals survive and reproduce better than others, the traits that allow them to do so, the genetic basis of those traits, and the signatures of past and present selection in patterns of variation in the genome remain at the top of the research agenda for evolutionary biology. This Special Feature – Guest Edited by Jeff Conner, John Stinchcombe and Joanna Kelley – draws together a collection of seven papers that highlight new methodological and conceptual approaches to meeting this agenda.
To use the Editors’ own words, the articles in this issue “deal with how we can detect selection in a way that can be used to predict evolutionary responses, how selection affects the genome, and how selection and genetics underlie adaptive differentiation.”
Ordination and clustering methods are widely applied to ecological data that are non-negative (like species abundances or biomasses). These methods rely on a measure of multivariate proximity that quantifies differences between the sampling units (e.g. individuals, stations, time points), leading to results such as: Ordinations of the units, where interpoint distances optimally display the measured differences Clustering the units into homogeneous clusters Assessing differences between … Continue reading ‘Size’ and ‘Shape’ in the Measurement of Multivariate Proximity
Following on from last week’s press release ‘How Clean are Finnish Rivers?’, Vasco Elbrecht et al. have produced a video to explain the methods in ‘Assessing strengths and weaknesses of DNA metabarcoding-based macroinvertebrate identification for routine stream monitoring‘. In this video, the authors explore the potential of DNA metabarcoding to access stream health using macroinvertebrates. They compared DNA and morphology-based identification of bulk monitoring samples from … Continue reading Assessment of Stream Health with DNA Metabarcoding
Today we are welcoming four new Associate Editors to Methods in Ecology and Evolution. Graziella Iossa (University of Lincoln) and Theoni Photopoulou (Nelson Mandela Metropolitan University) are joining as regular Associate Editors and Simon Jarman (Unversity of Porto) and Daniele Silvestro (University of Gothenburg) will be working on Applications articles. You can find out more about all of our new Associate Editors below. Graziella Iossa “I am … Continue reading New Associate Editors
This issue contains three Applications articles and two Open Access articles. These five papers are freely available to everyone, no subscription required.
– MatlabHTK: A software interface to a popular speech recognition system making it possible for non-experts to implement hidden Markov models for bioacoustic signal processing.
–PrimerMiner: The R package PrimerMiner batch downloads DNA barcode gene sequences from BOLD and NCBI databases for specified target taxonomic groups and then applies sequence clustering into operational taxonomic units to reduce biases introduced by the different number of available sequences per species.
–BarcodingR: An integrated software package that provides a comprehensive implementation of species identification methods, including artificial intelligence, fuzzy-set, Bayesian and kmer-based methods, that are not readily available in other packages.
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 … Continue reading Digitizing Historical Land-use Maps with HistMapR
This new Special Feature is a collection of five articles (plus an Editorial from Guest Editor David Warton) inspired by the December 2015 Eco-Stats conference at the University of New South Wales in Australia. It shows how interdisciplinary collaboration help to solve problems around estimating biodiversity and how it changes over space and time.
The five articles are based on joint talks given at the conference. They focus on:
As David Warton states in his Editorial, “interdisciplinary collaboration and the opportunities offered by recent technological advances have potential to lead to interesting and sometimes surprising findings, and will continue to be fertile ground for scientists in the foreseeable future”. Meetings like Eco-Stats 15 and Special Features like this one will, hopefully, help to encourage these sorts of collaborative research projects.
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