Growing-season length and soil microbes influence the performance of a generalist bunchgrass beyond its current range

被引:17
作者
de Mesquita, Clifton P. Bueno [1 ,2 ]
Sartwell, Samuel A. [1 ,2 ]
Schmidt, Steven K. [1 ]
Suding, Katharine N. [1 ,2 ]
机构
[1] Univ Colorado, Dept Ecol & Evolutionary Biol, Boulder, CO 80309 USA
[2] Univ Colorado, Inst Arctic & Alpine Res, Boulder, CO 80309 USA
基金
美国国家科学基金会;
关键词
alpine plants; biotic interactions; climate change; plant-microbe interactions; range shifts; DARK-SEPTATE FUNGI; CLIMATE-CHANGE; SPECIES DISTRIBUTION; BIOTIC INTERACTIONS; VASCULAR PLANTS; ALPINE; ECOSYSTEM; FEEDBACK; NITROGEN; ROOTS;
D O I
10.1002/ecy.3095
中图分类号
Q14 [生态学(生物生态学)];
学科分类号
071012 ; 0713 ;
摘要
As organisms shift their geographic distributions in response to climate change, biotic interactions have emerged as an important factor driving the rate and success of range expansions. Plant-microbe interactions are an understudied but potentially important factor governing plant range shifts. We studied the distribution and function of microbes present in high-elevation unvegetated soils, areas that plants are colonizing as climate warms, snow melts earlier, and the summer growing season lengthens. Using a manipulative snowpack and microbial inoculation transplant experiment, we tested the hypothesis that growing-season length and microbial community composition interact to control plant elevational range shifts. We predicted that a lengthening growing season combined with dispersal to patches of soils with more mutualistic microbes and fewer pathogenic microbes would facilitate plant survival and growth in previously unvegetated areas. We identified negative effects on survival of the common alpine bunchgrassDeschampsia cespitosain both short and long growing seasons, suggesting an optimal growing-season length for plant survival in this system that balances time for growth with soil moisture levels. Importantly, growing-season length and microbes interacted to affect plant survival and growth, such that microbial community composition increased in importance in suboptimal growing-season lengths. Further, plants grown with microbes from unvegetated soils grew as well or better than plants grown with microbes from vegetated soils. These results suggest that the rate and spatial extent of plant colonization of unvegetated soils in mountainous areas experiencing climate change could depend on both growing-season length and soil microbial community composition, with microbes potentially playing more important roles as growing seasons lengthen.
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页数:13
相关论文
共 108 条
[1]   The UNITE database for molecular identification of fungi - recent updates and future perspectives [J].
Abarenkov, Kessy ;
Nilsson, R. Henrik ;
Larsson, Karl-Henrik ;
Alexander, Ian J. ;
Eberhardt, Ursula ;
Erland, Susanne ;
Hoiland, Klaus ;
Kjoller, Rasmus ;
Larsson, Ellen ;
Pennanen, Taina ;
Sen, Robin ;
Taylor, Andy F. S. ;
Tedersoo, Leho ;
Ursing, Bjorn M. ;
Vralstad, Trude ;
Liimatainen, Kare ;
Peintner, Ursula ;
Koljalg, Urmas .
NEW PHYTOLOGIST, 2010, 186 (02) :281-285
[2]   Chemical weathering in soils from the glacial Lake Agassiz region of Manitoba, Canada [J].
Aide, MT ;
Cwick, GJ .
ENVIRONMENTAL GEOLOGY, 1998, 33 (2-3) :115-121
[3]   Dark septate root endophytic fungi increase growth of Scots pine seedlings under elevated CO2 through enhanced nitrogen use efficiency [J].
Alberton, Odair ;
Kuyper, Thomas W. ;
Summerbell, Richard C. .
PLANT AND SOIL, 2010, 328 (1-2) :459-470
[4]   A Method for Studying Protistan Diversity Using Massively Parallel Sequencing of V9 Hypervariable Regions of Small-Subunit Ribosomal RNA Genes [J].
Amaral-Zettler, Linda A. ;
McCliment, Elizabeth A. ;
Ducklow, Hugh W. ;
Huse, Susan M. .
PLOS ONE, 2009, 4 (07)
[5]  
Anderson MJ, 2001, AUSTRAL ECOL, V26, P32, DOI 10.1111/j.1442-9993.2001.01070.pp.x
[6]   Do species' traits predict recent shifts at expanding range edges? [J].
Angert, Amy L. ;
Crozier, Lisa G. ;
Rissler, Leslie J. ;
Gilman, Sarah E. ;
Tewksbury, Josh J. ;
Chunco, Amanda J. .
ECOLOGY LETTERS, 2011, 14 (07) :677-689
[7]  
[Anonymous], 2018, Emmeans: estimated marginal means, aka least-squares means
[8]  
Arnold Dawn L., 2009, P203
[9]   Fitting Linear Mixed-Effects Models Using lme4 [J].
Bates, Douglas ;
Maechler, Martin ;
Bolker, Benjamin M. ;
Walker, Steven C. .
JOURNAL OF STATISTICAL SOFTWARE, 2015, 67 (01) :1-48
[10]   ITS as an environmental DNA barcode for fungi: an in silico approach reveals potential PCR biases [J].
Bellemain, Eva ;
Carlsen, Tor ;
Brochmann, Christian ;
Coissac, Eric ;
Taberlet, Pierre ;
Kauserud, Havard .
BMC MICROBIOLOGY, 2010, 10