What common-garden experiments tell us about climate responses in plants

被引:29
|
作者
Schwinning, Susanne [1 ]
Lortie, Christopher J. [2 ]
Esque, Todd C. [3 ]
DeFalco, Lesley A. [3 ]
机构
[1] Texas State Univ, Dept Biol, San Marcos, TX 78666 USA
[2] York Univ, Dept Biol, Toronto, ON, Canada
[3] US Geol Survey, Western Ecol Res Ctr, Boulder City, NV USA
关键词
climate change; demographic models; fitness optima; local adaptation; meta-analysis; population x environment interaction; synthesis; FUNCTIONAL TRAITS; EVOLUTIONARY; COMMUNITIES; DESERT; LIFE; MAINTENANCE; COEXISTENCE; GERMINATION; ADAPTATION; MECHANISMS;
D O I
10.1111/1365-2745.13887
中图分类号
Q94 [植物学];
学科分类号
071001 ;
摘要
1. Common garden experiments are indoor or outdoor plantings of species or populations collected from multiple distinct geographic locations, grown together under shared conditions. These experiments examine a range of questions for theory and application using a variety of methods for analysis. The eight papers of this special feature comprise a cross section of contemporary approaches, summarized and synthesized here by what they tell us about the relationships between climate-related trait spectra and fitness optima. 2. Four of the eight papers are based on field experiments in prairie, desert, Mediterranean and boreal biomes. Representative of many common garden experiments, these experiments reveal consistent evidence of traits varying with population climate provenance, but evidence of a tradeoff between growth and tolerance traits or of consistent fitness optimization at home is scant, in contrast to trait theory. Two synthesis papers highlight dominant patterns of trait divergence, including for an exotic invasive species. One theoretical paper warned that unknown kinship relationships between populations can result in the misidentification of adaptive trait divergence. A third synthesis paper formulated novel and ambitious goals for common-garden studies through including measurement of response variables at multiple levels of biological organization. 3. The featured papers discuss multiple avenues for improving common garden studies. Genomic analysis, together with the quantification of kinship relationships, will continue to reveal the influence of environmental drivers on gene selection. Measuring a more complete set of fitness traits, especially for traits related to regeneration, will permit the development of projection models to explicitly link trait spectra, climate patterns and fitness consequences. More standardized data reporting will additionally improve abilities to synthesize findings across experiments. Testing population performance in competition with other species will produce more robust fitness comparisons between genotypes, especially for slower-growing genotypes in higher-resource environments. Adding gardens in and beyond climatic edge locations will furthermore strengthen the understanding of population failure and species exclusion. Finally, there is unrealized potential in adding ecosystem-level observations to common-garden studies that will enhance integrative analysis across scales of biological organization and scientific domains. 4. Synthesis. With novel, creative designs, data integration and synthesis, common garden experiments will continue to advance the understanding of trait ensembles interacting with climate across scales of biological organization, provide pivotal data for global change models and guide ecological applications such as restoration of habitats for rare and climate sensitive species.
引用
收藏
页码:986 / 996
页数:11
相关论文
共 50 条
  • [41] What does LTP tell us about the roles of CaMKII and PKM in memory?
    Sacktor, Todd Charlton
    Fenton, Andre Antonio
    MOLECULAR BRAIN, 2018, 11
  • [42] What meta-analysis can tell us about vulnerability of marine biodiversity to ocean acidification?
    Dupont, S.
    Dorey, N.
    Thorndyke, M.
    ESTUARINE COASTAL AND SHELF SCIENCE, 2010, 89 (02) : 182 - 185
  • [43] Mexican Migrants to the US: What Do Unrealized Migration Intentions Tell Us About Gender Inequalities?
    Chort, Isabelle
    WORLD DEVELOPMENT, 2014, 59 : 535 - 552
  • [44] Seasonal vegetation dynamics for phenotyping using multispectral drone imagery: Genetic differentiation, climate adaptation, and hybridization in a common-garden trial of interior spruce (Picea engelmannii x glauca)
    Grubinger, Samuel
    Coops, Nicholas C.
    O'Neill, Gregory A.
    Degner, Jonathan C.
    Wang, Tongli
    Waite, Olivia J. M.
    Riofrio, Jose
    Koch, Tiziana L.
    REMOTE SENSING OF ENVIRONMENT, 2025, 317
  • [45] Museum staff perspectives about a sustainability exhibition: what do they tell us about scientific literacy?
    Navas Iannini, Ana Maria
    Pedretti, Erminia
    INTERNATIONAL JOURNAL OF SCIENCE EDUCATION PART B-COMMUNICATION AND PUBLIC ENGAGEMENT, 2022, 12 (01): : 1 - 21
  • [46] Genomic data and common garden experiments reveal climate-driven selection on ecophysiological traits in two Mediterranean oaks
    Alberto Ramirez-Valiente, Jose
    Sole-Medina, Aida
    Jose Robledo-Arnuncio, Juan
    Ortego, Joaquin
    MOLECULAR ECOLOGY, 2023, 32 (05) : 983 - 999
  • [47] Picturing local adaptation: Spectral and structural traits from drone remote sensing reveal clinal responses to climate transfer in common-garden trials of interior spruce (Picea engelmannii x glauca)
    Grubinger, Samuel
    Coops, Nicholas C.
    O'Neill, Gregory A.
    GLOBAL CHANGE BIOLOGY, 2023, : 4842 - 4860
  • [48] Indications of climate change in coastal areas: what may fish otoliths tell us?
    Berghahn, R
    CLIMATE RESEARCH, 2001, 18 (1-2) : 113 - 118
  • [49] What multimodal data can tell us about the students' regulation of their learning process?
    Jarvela, Sanna
    Malmberg, Jonna
    Haataja, Eetu
    Sobocinski, Marta
    Kirschner, Paul A.
    LEARNING AND INSTRUCTION, 2021, 72
  • [50] What Can Inflammation Tell Us about Therapeutic Strategies for Parkinson's Disease?
    Xue, Jinsong
    Tao, Keju
    Wang, Weijia
    Wang, Xiaofei
    INTERNATIONAL JOURNAL OF MOLECULAR SCIENCES, 2024, 25 (03)