New insight into drivers of mammalian litter size from individual-level traits

被引:2
|
作者
Weller, Amanda K. [1 ]
Chapman, Olivia S. [1 ]
Gora, Sarah L. [1 ]
Guralnick, Robert P. [2 ]
Mclean, Bryan S. [1 ]
机构
[1] Univ North Carolina Greensboro, Dept Biol, Greensboro, NC 27402 USA
[2] Univ Florida, Florida Museum Nat Hist, Gainesville, FL USA
基金
美国国家科学基金会;
关键词
biodiversity informatics; body size; life history; PGLMM; seasonality; specimen digitization; HOUSE MICE; HISTORY; EVOLUTIONARY; REPRODUCTION; PATTERNS; BIOLOGY; PACKAGE; CLIMATE;
D O I
10.1111/ecog.06928
中图分类号
X176 [生物多样性保护];
学科分类号
090705 ;
摘要
The digitization and open availability of life history traits measured directly from individuals provide a key means of linking organismal function to environmental and ecological contexts at fine resolution. These linkages play a critical role in understanding trait-mediated response to global change, with particular need to resolve them for taxa that are secretive and hard to monitor, like most mammals. In this study, we use digitized museum specimen and census data to document how climate and body size each shape a key life history trait - litter size - in 39 small mammals across North America. We employ mixed models to test associations between litter size, climate and body size, with a focus on joint estimation of inter- and intraspecific trends. Among species, no single climate predictor explained a large amount of litter size variation. Instead, interactions between temperature-related (continentality, solar irradiation) and moisture-related (annual precipitation, relative humidity) indices, along with body size, exert a stronger influence on litter size. We observed maximal litter sizes for species inhabiting seasonal or xeric regions under conditions of increased moisture availability, or conversely, mesic or aseasonal regions under conditions of reduced moisture availability. These patterns are consistent with primary productivity as a mechanistic driver of litter size. At the intraspecific level, litter size responds to continentality and temperature-related indices experienced by populations, but is most strongly shaped by body size of individual females. We also find evidence of phylogenetic covariation in these intraspecific trends. Our study demonstrates how life history traits assembled from individual-level biodiversity records improve precision and granularity of ecological studies, help to parse among- and within-species trends, and foster improved understanding of tradeoffs between energetic supply and demand (e.g. reproduction) in wild mammals.
引用
收藏
页数:14
相关论文
共 50 条
  • [1] The power of individual-level drivers of inventive performance
    Zwick, Thomas
    Frosch, Katharina
    Hoisl, Karin
    Harhoff, Dietmar
    [J]. RESEARCH POLICY, 2017, 46 (01) : 121 - 137
  • [2] Individual-level psychology and group-level traits
    Muthukrishna, Michael
    Schaller, Mark
    [J]. BEHAVIORAL AND BRAIN SCIENCES, 2014, 37 (03) : 265 - 266
  • [3] Estimating individual-level plant traits at scale
    Marconi, Sergio
    Graves, Sarah J.
    Weinstein, Ben G.
    Bohlman, Stephanie
    White, Ethan P.
    [J]. ECOLOGICAL APPLICATIONS, 2021, 31 (04)
  • [4] Evolutionary predictions should be based on individual-level traits
    Rueffler, Claus
    Egas, Martijn
    Metz, Johan A. J.
    [J]. AMERICAN NATURALIST, 2006, 168 (05): : E148 - E162
  • [5] Improved prediction of complex traits from individual-level data and summary statistics
    Speed, Doug
    [J]. EUROPEAN JOURNAL OF HUMAN GENETICS, 2022, 30 (SUPPL 1) : 28 - 28
  • [6] Improved genetic prediction of complex traits from individual-level data or summary statistics
    Zhang, Qianqian
    Prive, Florian
    Vilhjalmsson, Bjarni
    Speed, Doug
    [J]. NATURE COMMUNICATIONS, 2021, 12 (01)
  • [7] Improved genetic prediction of complex traits from individual-level data or summary statistics
    Qianqian Zhang
    Florian Privé
    Bjarni Vilhjálmsson
    Doug Speed
    [J]. Nature Communications, 12
  • [8] Deriving Population Scaling Rules from Individual-Level Metabolism and Life History Traits
    Denechere, Remy
    van Denderen, P. Daniel
    Andersen, Ken H.
    [J]. AMERICAN NATURALIST, 2022, 199 (04): : 564 - 575
  • [9] Linking individual-level functional traits to tree growth in a subtropical forest
    Liu, Xiaojuan
    Swenson, Nathan G.
    Lin, Dunmei
    Mi, Xiangcheng
    Umana, Mara Natalia
    Schmid, Bernhard
    Ma, Keping
    [J]. ECOLOGY, 2016, 97 (09) : 2396 - 2405
  • [10] Corporate Environmental Management: Individual-Level Drivers and the Moderating Role of Charismatic Leadership
    Papagiannakis, Giorgos
    Lioukas, Spyros
    [J]. EUROPEAN MANAGEMENT REVIEW, 2018, 15 (04) : 475 - 489