Process-based modelling shows how climate and demography shape language diversity

被引:14
|
作者
Michael, Gavin C. [1 ,14 ]
Rangel, Thiago F. [2 ]
Bowern, Claire [3 ]
Colwell, Robert K. [4 ,5 ]
Kirby, Kathryn R. [6 ,7 ]
Botero, Carlos A. [8 ]
Dunn, Michael [9 ]
Dunn, Robert R. [10 ]
McCarter, Joe [11 ]
Coelho, Marco Tulio Pacheco [2 ]
Gray, Russell D. [12 ,13 ,14 ]
机构
[1] Colorado State Univ, Dept Human Dimens Nat Resources, Ft Collins, CO 80523 USA
[2] Univ Fed Goias, Dept Ecol, Goiania, Go, Brazil
[3] Yale Univ, Dept Linguist, New Haven, CT USA
[4] Univ Connecticut, Dept Ecol & Evolutionary Biol, Storrs, CT USA
[5] Univ Colorado, Museum Nat Hist, Boulder, CO 80309 USA
[6] Univ Toronto, Dept Ecol & Evolutionary Biol, Toronto, ON, Canada
[7] Univ Toronto, Dept Geog & Planning, Toronto, ON, Canada
[8] Washington Univ, Dept Biol, Campus Box 1137, St Louis, MO 63130 USA
[9] Uppsala Univ, Dept Linguist & Philol, Uppsala, Sweden
[10] North Carolina State Univ, Dept Appl Ecol, Raleigh, NC USA
[11] Amer Museum Nat Hist, Ctr Biodivers & Conservat, New York, NY 10024 USA
[12] Univ Auckland, Sch Psychol, Auckland, New Zealand
[13] Australian Natl Univ, Res Sch Social Sci, Canberra, ACT, Australia
[14] Max Planck Inst Sci Human Hist, Jena, Germany
来源
GLOBAL ECOLOGY AND BIOGEOGRAPHY | 2017年 / 26卷 / 05期
基金
美国国家科学基金会;
关键词
Culture; language diversity; macroecology; simulation modelling; SPECIES RICHNESS; DYNAMICS; PLEISTOCENE; PATTERNS;
D O I
10.1111/geb.12563
中图分类号
Q14 [生态学(生物生态学)];
学科分类号
071012 ; 0713 ;
摘要
AimTwo fundamental questions about human language demand answers: why are so many languages spoken today and why is their geographical distribution so uneven? Although hypotheses have been proposed for centuries, the processes that determine patterns of linguistic and cultural diversity remain poorly understood. Previous studies, which relied on correlative, curve-fitting approaches, have produced contradictory results. Here we present the first application of process-based simulation modelling, derived from macroecology, to examine the distribution of human groups and their languages. LocationThe Australian continent is used as a case study to demonstrate the power of simulation modelling for identifying processes shaping the diversity and distribution of human languages. MethodsProcess-based simulation models allow investigators to hold certain factors constant in order to isolate and assess the impact of modelled processes. We tested the extent to which a minimal set of processes determines the number and spatial distribution of languages on the Australian continent. Our model made three basic assumptions based on previously proposed, but untested, hypotheses: groups fill unoccupied spaces, rainfall limits population density and groups divide after reaching a maximum population. ResultsRemarkably, this simple model accurately predicted the total number of languages (average estimate 406, observed 407), and explained 56% of spatial variation in language richness on the Australian continent. Main conclusionsOur results present strong evidence that current climatic conditions and limits to group size are important processes shaping language diversity patterns in Australia. Our study also demonstrates how simulation models from macroecology can be used to understand the processes that have shaped human cultural diversity across the globe.
引用
收藏
页码:584 / 591
页数:8
相关论文
共 50 条
  • [41] Process-based modelling of NH3 exchange with grazed grasslands
    Moring, Andrea
    Vieno, Massimo
    Doherty, Ruth M.
    Milford, Celia
    Nemitz, Eiko
    Twigg, Marsailidh M.
    Horvath, Laszlo
    Sutton, Mark A.
    BIOGEOSCIENCES, 2017, 14 (18) : 4161 - 4193
  • [43] Informing water policy using dynamic, process-based system modelling
    Fagan, J. E.
    Reuter, M. A.
    Langford, K. J.
    MODSIM 2007: INTERNATIONAL CONGRESS ON MODELLING AND SIMULATION: LAND, WATER AND ENVIRONMENTAL MANAGEMENT: INTEGRATED SYSTEMS FOR SUSTAINABILITY, 2007, : 163 - 169
  • [44] Evaluating process-based integrated assessment models of climate change mitigation
    Charlie Wilson
    Céline Guivarch
    Elmar Kriegler
    Bas van Ruijven
    Detlef P. van Vuuren
    Volker Krey
    Valeria Jana Schwanitz
    Erica L. Thompson
    Climatic Change, 2021, 166
  • [45] The initial morphological response of the Sand Engine: A process-based modelling study
    Luijendijk, Arjen P.
    Ranasinghe, Roshanka
    de Schipper, Matthieu A.
    Huisman, Bas A.
    Swinkels, Cilia M.
    Walstra, Dirk J. R.
    Stive, Marcel J. F.
    COASTAL ENGINEERING, 2017, 119 : 1 - 14
  • [46] Predicting Excavation-Induced Tunnel Response by Process-Based Modelling
    Mu, Linlong
    Lin, Jianhong
    Shi, Zhenhao
    Kang, Xingyu
    COMPLEXITY, 2020, 2020
  • [47] River temperature modelling: A review of process-based approaches and future directions
    Dugdale, Stephen J.
    Hannah, David M.
    Malcolm, Iain A.
    EARTH-SCIENCE REVIEWS, 2017, 175 : 97 - 113
  • [48] A Natural Language Process-Based Framework for Automatic Association Word Extraction
    Hu, Zheng
    Luo, Jiao
    Zhang, Chunhong
    Li, Wei
    IEEE ACCESS, 2020, 8 : 1986 - 1997
  • [49] Process-based modelling to understand the impact of ryegrass diversity on production and leaching from grazed grass-clover dairy pastures
    Snow, V. O.
    Smale, P. N.
    Dodd, M. B.
    CROP & PASTURE SCIENCE, 2013, 64 (10): : 1020 - 1031
  • [50] Modelling climate change impacts on marine fish populations: process-based integration of ocean warming, acidification and other environmental drivers
    Koenigstein, Stefan
    Mark, Felix C.
    Goessling-Reisemann, Stefan
    Reuter, Hauke
    Poertner, Hans-Otto
    FISH AND FISHERIES, 2016, 17 (04) : 972 - 1004