globalchange  > 全球变化的国际研究计划
DOI: 10.1111/geb.12972
WOS记录号: WOS:000476344800001
论文题名:
A review and meta-analysis of intraspecific differences in phenotypic plasticity: Implications to forecast plant responses to climate change
作者: Matesanz, Silvia1; Alberto Ramirez-Valiente, Jose2
通讯作者: Matesanz, Silvia
刊名: GLOBAL ECOLOGY AND BIOGEOGRAPHY
ISSN: 1466-822X
EISSN: 1466-8238
出版年: 2019
语种: 英语
英文关键词: climate change ; common garden ; environment ; phenotypic plasticity ; population differentiation ; population-environment interaction
WOS关键词: POPULATION DIFFERENTIATION ; LOCAL ADAPTATION ; EVOLUTIONARY RESPONSES ; GENETIC-VARIATION ; COLD-HARDINESS ; EXPRESSION ; PHENOLOGY ; SELECTION ; SEEDLINGS ; PATTERNS
WOS学科分类: Ecology ; Geography, Physical
WOS研究方向: Environmental Sciences & Ecology ; Physical Geography
英文摘要:

Aim Many studies use differences among plant populations to infer future plant responses, but these predictions will provide meaningful insights only if patterns of plasticity among populations are similar (i.e., in the absence of population-by-environment interaction, P x E). In this study, we tested whether P x E is considered in climate change studies. Specifically, we evaluated whether population differentiation varies across environments and whether P x E is determined by aspects of the study system and experimental design. Location Global. Methods We conducted a literature search in the Thomson Reuters Web of Science database to identify studies assessing population differentiation in a climate change context. We quantified the occurrence of P x E and performed a meta-analysis to calculate the percentage of traits showing P x E in the study cases. Results We identified 309 study cases (from 237 published articles) assessing population differentiation in 172 plant species, of which 64% included more than one test environment and tested P x E. In 77% of these studies, P x E was significant for at least one functional trait. The overall proportion of traits showing P x E was 33.4% (95% confidence interval 27.7-39.3). These results were generally consistent across life-forms, ecoregions and type of experiment. Furthermore, population differentiation varied across test environments in 76% of cases. The overall proportion of traits showing environment-dependent population differentiation was 53.7% (95% confidence interval 37.9-69.3). Conclusions Our findings revealed that differences in phenotypic plasticity among populations are common but are usually neglected in order to forecast population responses to climate change. Future studies should assess population differentiation in many test environments (accounting for P x E) that realistically reflect future environmental conditions, assessing climate change drivers that are rarely considered (e.g., multifactor experiments incorporating higher CO2 levels). Our review also revealed the predominant focus of population studies on trees from temperate climates, identifying underexplored life-forms (shrubs, annuals), phylogenetic groups (ferns, ancient gymnosperms) and ecoregions (tropical, arctic) that should receive more attention in future.


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资源类型: 期刊论文
标识符: http://119.78.100.158/handle/2HF3EXSE/143447
Appears in Collections:全球变化的国际研究计划

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作者单位: 1.Univ Rey Juan Carlos, Area Biodiversidad & Conservac, Calle Tulipan S-N, Mostoles 28933, Spain
2.INIA CIFOR, Dept Ecol & Genet Forestal, Madrid, Spain

Recommended Citation:
Matesanz, Silvia,Alberto Ramirez-Valiente, Jose. A review and meta-analysis of intraspecific differences in phenotypic plasticity: Implications to forecast plant responses to climate change[J]. GLOBAL ECOLOGY AND BIOGEOGRAPHY,2019-01-01
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