Impact Factor 4.402 | CiteScore 7.8
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in Plant Science

Crop and Product Physiology

Functional Plant Ecology

Marine and Freshwater Plants

Plant Abiotic Stress

Plant Biophysics and Modeling

Plant Biotechnology

Plant Breeding

Plant Cell Biology

Plant Development and EvoDevo

Plant Membrane Traffic and Transport

Plant Metabolism and Chemodiversity

Plant Nutrition

Plant Pathogen Interactions

Plant Physiology

Plant Proteomics and Protein Structural Biology

Plant Symbiotic Interactions

Plant Systematics and Evolution

Plant Systems and Synthetic Biology

Technical Advances in Plant Science

Scope

Functional Plant Ecology serves as an outlet for empirical and theoretical investigations into how plant function influences ecological outcomes. The scope of the Section is, therefore, broad ranging from molecules to ecosystems.

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Scope

Plant performance is governed by phenotypic interactions with the abiotic and biotic environment. Intra- and inter-specific variation in phenotypes, therefore, determines the distributions of species through space and time and ultimately the structure and dynamics of communities and ecosystems. Thus, functional biology forms the heart of ecology across scales of organization and the foundation upon which predictive ecology must be built.

The Specialty Section in Functional Plant Ecology serves as an outlet for empirical and theoretical investigations into how plant function influences ecological outcomes. The scope of the Section is, therefore, broad ranging from molecules to ecosystems. The Section complements many other sections in Frontiers in Plant Science, but submitted work must ultimately relate to ecological outcomes (e.g. the distribution and dynamics of individuals, populations, species, communities and/or ecosystems) and utilize a clear hypothesis-testing framework. Ideally, the work will be motivated by and build from previous empirical and theoretical advances made in plant ecology.

Functional plant ecology, as a field, has witnessed a tremendous increase in the number of studies quantifying so-called “functional traits”. Functional trait-based submissions are encouraged and very well-suited to the Section. However, the Section is also searching for submissions from a broader range of functional plant ecology that push the boundaries of the molecules to ecosystems continuum. For example, transcriptomic studies of species responses to environmental variation and comparative functional genomic studies of populations, communities are highly encouraged if they have a focus on testing ecological hypotheses. We expect such studies to grow in volume dramatically in the coming years and the Section would like to serve as a major outlet for such work. On the other end of the continuum, the Section is particularly interested in soliciting more submissions regarding the regional to global scale distribution and diversity of plant function as well as the next generation of dynamic vegetation models that are being increasingly refined using plant trait information. Lastly, the Section aims to continue its focus on quantifying and predicting the functional response of plants to drivers of global change.

Please consider the requirements for experimental studies as listed below

Quantitative analysis need to be performed on a minimum number of 3 biological replicates in order to enable an assessment of significance. This includes quantitative omics studies (transcriptomics, proteomics, metabolomics) as well as phenotypic measurements, quantitative assays, and qPCR expression analysis. Studies that do not comply with these replication requirements will not be considered for review.

Studies falling into the categories below will not be considered for review, unless they are expanded and provide insight into the biological system or process being studied:

i) Descriptive collection of transcripts, proteins or metabolites, including comparative sets as a result of different conditions or treatments;
ii) Descriptive studies that define gene families using basic phylogenetics and the assignment of cursory functional attributions (e.g. expression profiles, hormone or metabolites levels, promoter analysis, informatic parameters).

Studies using transgenic plants or mutants should be based on data from multiple independent alleles (at least 2) displaying a common and stable phenotype. Examples include, T-DNA, transposon, RNAi, CRISPR/Cas9, chemically induced, overexpressors, reporter fusions (GUS, FPs, LUC) etc. Qualitative data can be presented from a single allele but should be indicative of observations from multiple alleles which should be explicitly stated in the text. Quantitative data should be derived from multiple alleles (at least 2) and should be displayed separately for each allele (with at least 3 independent replications for each allele). Studies reporting single alleles may be considered acceptable when:

i) Complementation via transformation is used for confirmation;
ii) The allele has been previously characterized and published and is representative of multiple independent lines;
iii) Systems where genetic transformation is difficult or not yet possible, alternative evidence should be presented supporting the reported allele.

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in Plant Science

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