Connecting geographical distributions with population processes

被引:78
作者
Maurer, BA [1 ]
Taper, ML
机构
[1] Michigan State Univ, Dept Fisheries & Wildlife, E Lansing, MI 48824 USA
[2] Michigan State Univ, Dept Geog, E Lansing, MI 48824 USA
[3] Montana State Univ, Dept Ecol, Bozeman, MT 59717 USA
关键词
biogeography; population dynamics; geographical range; macroecology;
D O I
10.1046/j.1461-0248.2002.00308.x
中图分类号
Q14 [生态学(生物生态学)];
学科分类号
071012 ; 0713 ;
摘要
The geographical distribution of a species is determined by a large number of complex processes operating over spatial scales spanning 10 orders of magnitude. Patterns in Population processes have been described at numerous scales. We show that two patterns, measured at different scales, jointly allow us to infer heretofore unknown patterns in the distribution of demographic patterns across the geographical range of a species. The resulting model describes three fundamentally different modes of geographical variation in vital rates of populations. One mode is characterized by a positive nonlinear relationship between the maximum rate of population growth and the intensity of intraspecific competition across a geographical range. That is, populations that grow rapidly are also those where individuals experience the greatest per capita negative effect of the presence of other individuals. The second mode of behaviour is described by a negative nonlinear relationship between maximum growth rate and density dependence. Under this scenario, populations with low capacity to grow rapidly have highest intensities of intraspecific competitive effects. A third mode of behaviour is characterized by a weak positive relationship between growth rate and intraspecific competition, with very little geographical variation in maximum growth rate. A survey of studies relating temporal means and variances in population abundance for a variety of species indicate that the second mode of geographical variation in population dynamics across species ranges is the most common, though a few species appear to be characterized by the third mode.
引用
收藏
页码:223 / 231
页数:9
相关论文
共 54 条
[1]   VARIABILITY IN THE ABUNDANCE OF ANIMAL AND PLANT-SPECIES [J].
ANDERSON, RM ;
GORDON, DM ;
CRAWLEY, MJ ;
HASSELL, MP .
NATURE, 1982, 296 (5854) :245-248
[2]  
[Anonymous], 1974, Stochastic Models in Biology
[3]  
Bartlett M. S., 1960, STOCHASTIC POPULATIO
[4]   ON THE RELATIONSHIP BETWEEN ABUNDANCE AND DISTRIBUTION OF SPECIES [J].
BROWN, JH .
AMERICAN NATURALIST, 1984, 124 (02) :255-279
[5]   SPATIAL VARIATION IN ABUNDANCE [J].
BROWN, JH ;
MEHLMAN, DW ;
STEVENS, GC .
ECOLOGY, 1995, 76 (07) :2028-2043
[6]   Trajectories to extinction: spatial dynamics of the contraction of geographical ranges [J].
Channell, R ;
Lomolino, MV .
JOURNAL OF BIOGEOGRAPHY, 2000, 27 (01) :169-179
[7]   Dynamic biogeography and conservation of endangered species [J].
Channell, R ;
Lomolino, MV .
NATURE, 2000, 403 (6765) :84-86
[8]   Population variability of sparrows in space and time [J].
Curnutt, JL ;
Pimm, SL ;
Maurer, BA .
OIKOS, 1996, 76 (01) :131-144
[9]   ANALYSIS OF STEADY-STATE POPULATIONS WITH THE GAMMA-ABUNDANCE MODEL - APPLICATION TO TRIBOLIUM [J].
DENNIS, B ;
COSTANTINO, RF .
ECOLOGY, 1988, 69 (04) :1200-1213
[10]   THE GAMMA-DISTRIBUTION AND WEIGHTED MULTIMODAL GAMMA-DISTRIBUTIONS AS MODELS OF POPULATION ABUNDANCE [J].
DENNIS, B ;
PATIL, GP .
MATHEMATICAL BIOSCIENCES, 1984, 68 (02) :187-212