Adaptive models for large herbivore movements in heterogeneous landscapes
By J. Morales, D. Fortin, Jacqui Frair, Evelyn H. Merrill. Landscape Ecology, 2005
110 citations recorded by the source corpus.
Subfields: Ecology, Nature and Landscape Conservation, Small Animals
View Paper: https://www.semanticscholar.org/paper/3195da480fb064906e866bca65d8e83b526560ca
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
In Ecology
- H. Muller‐Landau
- Stephen P. Hubbell
- Richard S. Condit
- Stephen J. Wright
- Ewan D. Wakefield
- R. Phillips
- Jason Matthiopoulos
- G. Pyke
In Nature and Landscape Conservation
- H. Muller‐Landau
- Stephen P. Hubbell
- Richard S. Condit
- Stephen J. Wright
- O. Calderón
- James S. Clark
- Ewan D. Wakefield
- Jason Matthiopoulos
In Small Animals
Citations in the corpus
- Quantifying habitat use and preferences of pelagic seabirds using individual movement data: a review (2009, background): “For example, much effort has gone into modeling the spatial usage of endangered ungulates (Mladenoff et al. 1999, Johnson et al. 2002, Morales et al. 2005).”
- Patch density determines movement patterns and foraging efficiency of large herbivores (2007, background): “Consequently, the movement behavior of large herbivores is still poorly understood (Morales et al. 2005).”
- Understanding movements of organisms: it's time to abandon the Lévy foraging hypothesis (2015, background): “…have recently revisited such an approach, labelling their models variously, but essentially synonymously, as ‘Artificial Neural Networks’ (i.e. ANN) (Morales et al. 2005; Mueller, Fagan & Grimm 2011), ‘Individual-Based Models’ (i.e. IBM) (Stillman 2008; Giuggioli, Potts & Harris 2011) and ‘Agent…”
- Understanding movement data and movement processes: current and emerging directions. (2008, methodology): “Dalziel et al. (2008) extend the approach of Morales et al. (2005) by combining likelihood with an ANN ⁄ GA framework to examine the effect of resources, spatial memory, and distance on elk movements.”
- Towards better prediction of seed dispersal by animals (2010, unknown): “Another elk model (Morales et al. 2005) has used artificial neural networks to model animal decisions (foraging vs.”
- A mechanistic simulation model of seed dispersal by animals (2008, background): “There have been quite a number of successful attempts to model animal movement in space (Bovet & Benhamou 1988; Turchin 1991; Zollner & Lima 1999; Byers 2001; Morales et al. 2004; Frair et al. 2005; Morales et al. 2005; Van Dyck & Baguette 2005; Vuilleumier & Metzger 2006).”
- Interspecific variation in primary seed dispersal in a tropical forest (2008, background): “Increased computing power has enabled the development and application of ever more sophisticated models of animal behaviour and movement (Moorcroft et al. 1999; Morales et al. 2005).”