Discrete-time growth-dispersal models with shifting species ranges

By Ying Zhou, Mark Kot. Theoretical Ecology, 2011

116 citations recorded by the source corpus.

Subfields: Genetics, Global and Planetary Change, Public Health, Environmental and Occupational Health

View Paper: https://www.semanticscholar.org/paper/6af43b142372b93013347a63230354adc01fb8a7

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Genetics

1. Thomas Giletti
2. Chufen Wu
3. Xingfu Zou
4. J. Bouhours
5. Wan-Tong Li
6. Guo Lin
7. Ming Ma
8. Zhi-Cheng Wang

In Global and Planetary Change

1. Xingfu Zou

In Public Health, Environmental and Occupational Health

1. Thomas Giletti
2. Chufen Wu
3. Yang Wang
4. Xingfu Zou
5. J. Bouhours
6. Wan-Tong Li
7. Guo Lin
8. Shiwang Ma

Citations in the corpus

• Spreading and Vanishing for a Monostable Reaction–Diffusion Equation with Forced Speed (2018, background): “This problem has also been studied in the framework of integrodifference equations, where time is assumed to be discrete and dispersion is nonlocal [15, 31, 32].”
• Spatial-temporal dynamics of a Lotka-Volterra competition model with nonlocal dispersal under shifting environment (2019, background): “For example, to understand how species transfer their distribution over time and to predict whether the species can keep pace with the climate-induced range shifts in future, [6,17,43,20,28] adopted a practical approach of characterizing the habitats “on the move” by considering the growth rate r(t,”