Active sources of remote sensing data, in particular Light Detection and Ranging (LiDAR) and Radio Detection and Ranging (RADAR), majorly differ from passive sources by offering data of three-dimensional (3D) character, which help representing the earth terrain, surface and the related structural attributes. This cross-journal special feature hosts a series of innovative publications from multiple disciplines, but with a common focus on the state-of-the-art science … Continue reading Active remote sensing- Behind the research

We are now accepting article proposals for a new cross-journal Special Feature entitled ‘Active Remote Sensing for Ecology, Biodiversity and Ecosystem Conservation‘, a joint venture by the journals Methods in Ecology and Evolution, Journal of Ecology, Journal of Animal Ecology and Journal of Applied Ecology. Here, the Special Feature’s Lead Editors Carlos Alberto Silva & Hooman Latifi explain the idea behind this Special Feature. Active … Continue reading Call for Proposals: Active Remote Sensing for Ecology, Biodiversity and Ecosystem Conservation

Associate Editor Natalie Cooper introduces our exciting new cross-journal Special Feature ‘Leveraging Natural History Collections to Understand the Impacts of Global Change‘. Below you can find out all about the scope of the Special Feature and how to submit your manuscript proposal.

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In an era of rapid global change, ecologists are increasingly asked to provide answers to big, urgent questions of global concern. On the one hand, responding to such requests seems increasingly feasible – given the rapid increase in the ability to collect ecological data at ever-higher spatio-temporal scales, new, unsolved questions can be tackled and increasingly realistic models can be developed, pushing the boundaries of the questions which can be answered. However, large datasets and complex models can lead to ”big” trouble, in terms of handling and manipulating the data, in addition to fitting complex models to data and interpreting the output. 

Continue reading “Open Call for Papers: Special Feature on Realising the Promise of Large Data and Complex Models”