Dispersal across continuous and binary representations of landscapes

被引:20
作者
Malanson, GP [1 ]
机构
[1] Univ Iowa, Dept Geog, Iowa City, IA 52242 USA
关键词
dispersal; fragmentation; landscape; lattice models; spatial simulation;
D O I
10.1016/S0304-3800(03)00204-7
中图分类号
Q14 [生态学(生物生态学)];
学科分类号
071012 ; 0713 ;
摘要
Many simulations of plant or animal dispersal across landscapes fragmented by human activity have represented the environment as habitat or non-habitat. Here, the consequences of representing habitat on grids as a continuous surface (0-1) versus as binary (0, 1) are examined for such models. Simulated landscapes with mean habitat quality of 0.5, with different variance, and with 50% each of habitat and non-habitat are compared. Random and non-random patterns are simulated. Dispersal can be directionally biased. Dispersal across continuous landscapes is more frequent and faster than across binary landscapes. On continuous landscapes, pattern matters, with success and speed reduced as local heterogeneity increases. Increased variance also reduces success and speed. The degree to which a species uses the landscape as a continuum of habitat, versus as either/or, will improve its response to forces that require increased movement for survival, such as habitat fragmentation and climatic change. The range of representations from binary to continuous will affect models including spread of disturbances, but the importance of heterogeneity will vary with the species or phenomena being modeled. (C) 2003 Elsevier B.V. All rights reserved.
引用
收藏
页码:17 / 24
页数:8
相关论文
共 63 条
[1]   Vegetation dynamics modelling:: a method for coupling local and space dynamics [J].
Aassine, S ;
El Jaï, MC .
ECOLOGICAL MODELLING, 2002, 154 (03) :237-249
[2]  
[Anonymous], GEOGRAPHICAL ENV MOD
[3]  
[Anonymous], 2018, INTRO PERCOLATION TH
[4]   Landscape pattern, spatial behavior, and a dynamic state variable model [J].
Baker, BD .
ECOLOGICAL MODELLING, 1996, 89 (1-3) :147-160
[5]   DISPERSAL OF JUVENILE COUGARS IN FRAGMENTED HABITAT [J].
BEIER, P .
JOURNAL OF WILDLIFE MANAGEMENT, 1995, 59 (02) :228-237
[6]   Techniques of spatially explicit individual-based models: construction, simulation, and mean-field analysis [J].
Berec, L .
ECOLOGICAL MODELLING, 2002, 150 (1-2) :55-81
[7]   An improved cellular automaton model for simulating fire in a spatially heterogeneous Savanna system [J].
Berjak, SG ;
Hearne, JW .
ECOLOGICAL MODELLING, 2002, 148 (02) :133-151
[8]   The representation of the environment in the context of individual-based modeling [J].
Bian, L .
ECOLOGICAL MODELLING, 2003, 159 (2-3) :279-296
[9]   Component modeling for the spatial representation of wildlife movements [J].
Bian, L .
JOURNAL OF ENVIRONMENTAL MANAGEMENT, 2000, 59 (04) :235-245
[10]   Random diffusion models for animal movement [J].
Blackwell, PG .
ECOLOGICAL MODELLING, 1997, 100 (1-3) :87-102