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Ecology · 2020 · Vol. 101 · Issue 6 · Wiley
Individual variation in reproductive ability is a key component of natural selection within populations, driving the evolution of life histories and population responses to changing environmental conditions. Evidence that population density affects individual‐level fitness in wild populations is limited, particularly for long‐lived animals, which are difficult to observe on a biologically relevant scale. We tested for individu...
Ecology · 2017 · Vol. 98 · Issue 1 · Wiley
The home‐range concept is central in animal ecology and behavior, and numerous mechanistic models have been developed to understand home range formation and maintenance. These mechanistic models usually assume a single, contiguous home range. Here we describe and implement a simple home‐range model that can accommodate multiple home‐range centers, form complex shapes, allow discontinuities in use patterns, and infer how extern...
Global Ecology and Biogeography · 2014 · Vol. 23 · Issue 10 · Wiley
Aim Species‐sorting predicts the influences of the environment on ecosystem composition across heterogeneous landscapes. It assumes that extinction and adaptation are negligible at ecological scales. Meanwhile, shifts associated with global change have been observed in metacommunity composition (species pools affected by extinctions and introductions) and in phenotypes. This suggests that predictions of future composition must...
Ecology Letters · 2013 · Vol. 16 · Issue 10 · Wiley
Memory is critical to understanding animal movement but has proven challenging to study. Advances in animal tracking technology, theoretical movement models and cognitive sciences have facilitated research in each of these fields, but also created a need for synthetic examination of the linkages between memory and animal movement. Here, we draw together research from several disciplines to understand the relationship between a...
Ecology · 2009 · Vol. 90 · Issue 11 · Wiley
In many large pelagic animals, observing behavior is limited to observation by radio or satellite telemetry. In many cases, discriminating different behaviors from telemetry data has been a key, but often elusive, goal. Here we use state–space models (SSMs) to fit a correlated random walk (CRW) model that switches between two unobserved behavioral states (nominally foraging and traveling) to 41 male and 43 female adult grey se...