Does probability of occurrence relate to population dynamics?

被引:124
作者
Thuiller, Wilfried [1 ,2 ]
Muenkemueller, Tamara [1 ,2 ]
Schiffers, Katja H. [1 ,2 ]
Georges, Damien [1 ,2 ]
Dullinger, Stefan [3 ]
Eckhart, Vincent M. [4 ]
Edwards, Thomas C., Jr. [5 ,6 ]
Gravel, Dominique [7 ]
Kunstler, Georges [8 ,9 ]
Merow, Cory [10 ]
Moore, Kara [11 ]
Piedallu, Christian [12 ,13 ]
Vissault, Steve [7 ]
Zimmermann, Niklaus E. [14 ]
Zurell, Damaris [14 ,15 ]
Schurr, Frank M. [16 ,17 ]
机构
[1] Univ Grenoble Alpes, Lab Ecol Alpine LECA, FR-38000 Grenoble, France
[2] CNRS, Lab Ecol Alpine LECA, FR-38000 Grenoble, France
[3] Fac Ctr Biodivers, Dept Conservat Biol Vegetat & Landscape Ecol, AT-1030 Vienna, Austria
[4] Grinnell Coll, Dept Biol, Grinnell, IA 50112 USA
[5] Utah State Univ, US Geol Survey, Utah Cooperat Fish & Wildlife Res Unit, Logan, UT 84322 USA
[6] Utah State Univ, Logan, UT 84322 USA
[7] Univ Quebec, Dept Biol Chim & Geog, Rimouski, PQ G5L 3A1, Canada
[8] UR Mt Ecosyst, Irstea, St Martin Dheres, France
[9] Macquarie Univ, Dept Biol Sci, Sydney, NSW 2109, Australia
[10] Smithsonian Environm Res Ctr, Edgewater, MD 21307 USA
[11] Univ Calif Davis, Ctr Populat Biol, Dept Ecol & Evolut, Davis, CA 95616 USA
[12] ENGREF, AgroParisTech, UMR1092, Lab Etud Ressources Foret Bois LERFoB, Nancy, France
[13] Ctr INRA Nancy, INRA, UMR1092, Lab Etud Ressources Foret Bois LERFoB, Champenoux, France
[14] Swiss Fed Res Inst WSL, Landscape Dynam Unit, CH-8903 Birmensdorf, Switzerland
[15] Univ Potsdam, Inst Biochem & Biol, DE-14469 Potsdam, Germany
[16] Univ Montpellier 2, Inst Sci Evolut Montpellier, CNRS, UMR 5554, F-34095 Montpellier 5, France
[17] Univ Hohenheim, Inst Landscape & Plant Ecol, DE-70593 Stuttgart, Germany
基金
美国国家科学基金会; 欧洲研究理事会;
关键词
SPECIES DISTRIBUTIONS; CLIMATE-CHANGE; RANGE LIMITS; MODELS; ABUNDANCE; NICHE; SUITABILITY; DISPERSAL; NORTHERN; ECOLOGY;
D O I
10.1111/ecog.00836
中图分类号
X176 [生物多样性保护];
学科分类号
090705 ;
摘要
Hutchinson defined species' realized niche as the set of environmental conditions in which populations can persist in the presence of competitors. In terms of demography, the realized niche corresponds to the environments where the intrinsic growth rate (r) of populations is positive. Observed species occurrences should reflect the realized niche when additional processes like dispersal and local extinction lags do not have overwhelming effects. Despite the foundational nature of these ideas, quantitative assessments of the relationship between range-wide demographic performance and occurrence probability have not been made. This assessment is needed both to improve our conceptual understanding of species' niches and ranges and to develop reliable mechanistic models of species geographic distributions that incorporate demography and species interactions. The objective of this study is to analyse how demographic parameters (intrinsic growth rate r and carrying capacity K) and population density (N) relate to occurrence probability (P-occ). We hypothesized that these relationships vary with species' competitive ability. Demographic parameters, density, and occurrence probability were estimated for 108 tree species from four temperate forest inventory surveys (Quebec, western USA, France and Switzerland). We used published information of shade tolerance as indicators of light competition strategy, assuming that high tolerance denotes high competitive capacity in stable forest environments. Interestingly, relationships between demographic parameters and occurrence probability did not vary substantially across degrees of shade tolerance and regions. Although they were influenced by the uncertainty in the estimation of the demographic parameters, we found that r was generally negatively correlated with P-occ, while N, and for most regions K, was generally positively correlated with P-occ. Thus, in temperate forest trees the regions of highest occurrence probability are those with high densities but slow intrinsic population growth rates. The uncertain relationships between demography and occurrence probability suggests caution when linking species distribution and demographic models.
引用
收藏
页码:1155 / 1166
页数:12
相关论文
共 46 条
[1]   NEW LOOK AT STATISTICAL-MODEL IDENTIFICATION [J].
AKAIKE, H .
IEEE TRANSACTIONS ON AUTOMATIC CONTROL, 1974, AC19 (06) :716-723
[2]   Dynamics of range margins for metapopulations under climate change [J].
Anderson, B. J. ;
Akcakaya, H. R. ;
Araujo, M. B. ;
Fordham, D. A. ;
Martinez-Meyer, E. ;
Thuiller, W. ;
Brook, B. W. .
PROCEEDINGS OF THE ROYAL SOCIETY B-BIOLOGICAL SCIENCES, 2009, 276 (1661) :1415-1420
[3]  
[Anonymous], 2013, R LANG ENV STAT COMP
[4]  
[Anonymous], 2002, Model selection and multimodel inference: a practical informationtheoretic approach
[5]  
[Anonymous], SCIENCE
[6]  
[Anonymous], 1984, THEORY FOREST DYNAMI
[7]  
[Anonymous], COLD SPRING HARBOR S
[8]  
[Anonymous], MIN RESS NAT QUEB PL
[9]   Selecting areas for species persistence using occurrence data [J].
Araújo, MB ;
Williams, PH .
BIOLOGICAL CONSERVATION, 2000, 96 (03) :331-345
[10]  
Bailey RG., 1996, ECOSYSTEM GEOGRAPHY