Example of Evolutionary Applications format
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Example of Evolutionary Applications format Example of Evolutionary Applications format Example of Evolutionary Applications format Example of Evolutionary Applications format Example of Evolutionary Applications format Example of Evolutionary Applications format Example of Evolutionary Applications format Example of Evolutionary Applications format Example of Evolutionary Applications format Example of Evolutionary Applications format Example of Evolutionary Applications format Example of Evolutionary Applications format
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Example of Evolutionary Applications format Example of Evolutionary Applications format Example of Evolutionary Applications format Example of Evolutionary Applications format Example of Evolutionary Applications format Example of Evolutionary Applications format Example of Evolutionary Applications format Example of Evolutionary Applications format Example of Evolutionary Applications format Example of Evolutionary Applications format Example of Evolutionary Applications format Example of Evolutionary Applications format
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open access Open Access
recommended Recommended

Evolutionary Applications — Template for authors

Publisher: Wiley
Categories Rank Trend in last 3 yrs
Agricultural and Biological Sciences (all) #15 of 209 down down by 7 ranks
Ecology, Evolution, Behavior and Systematics #54 of 647 down down by 30 ranks
Genetics #69 of 325 down down by 30 ranks
journal-quality-icon Journal quality:
High
calendar-icon Last 4 years overview: 561 Published Papers | 3856 Citations
indexed-in-icon Indexed in: Scopus
last-updated-icon Last updated: 07/06/2020
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Related Journals

open access Open Access
recommended Recommended

PLOS

Quality:  
High
CiteRatio: 7.3
SJR: 2.628
SNIP: 1.713
open access Open Access
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PLOS

Quality:  
High
CiteRatio: 9.0
SJR: 3.587
SNIP: 1.457
open access Open Access
recommended Recommended

Springer

Quality:  
High
CiteRatio: 5.3
SJR: 1.515
SNIP: 0.684

Journal Performance & Insights

Impact Factor

CiteRatio

Determines the importance of a journal by taking a measure of frequency with which the average article in a journal has been cited in a particular year.

A measure of average citations received per peer-reviewed paper published in the journal.

4.013

20% from 2018

Impact factor for Evolutionary Applications from 2016 - 2019
Year Value
2019 4.013
2018 5.038
2017 4.694
2016 5.671
graph view Graph view
table view Table view

6.9

8% from 2019

CiteRatio for Evolutionary Applications from 2016 - 2020
Year Value
2020 6.9
2019 7.5
2018 7.2
2017 9.2
2016 8.2
graph view Graph view
table view Table view

insights Insights

  • Impact factor of this journal has decreased by 20% in last year.
  • This journal’s impact factor is in the top 10 percentile category.

insights Insights

  • CiteRatio of this journal has decreased by 8% in last years.
  • This journal’s CiteRatio is in the top 10 percentile category.

SCImago Journal Rank (SJR)

Source Normalized Impact per Paper (SNIP)

Measures weighted citations received by the journal. Citation weighting depends on the categories and prestige of the citing journal.

Measures actual citations received relative to citations expected for the journal's category.

1.776

12% from 2019

SJR for Evolutionary Applications from 2016 - 2020
Year Value
2020 1.776
2019 2.013
2018 2.174
2017 2.676
2016 2.353
graph view Graph view
table view Table view

1.423

5% from 2019

SNIP for Evolutionary Applications from 2016 - 2020
Year Value
2020 1.423
2019 1.499
2018 1.532
2017 1.634
2016 1.402
graph view Graph view
table view Table view

insights Insights

  • SJR of this journal has decreased by 12% in last years.
  • This journal’s SJR is in the top 10 percentile category.

insights Insights

  • SNIP of this journal has decreased by 5% in last years.
  • This journal’s SNIP is in the top 10 percentile category.
Evolutionary Applications

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Wiley

Evolutionary Applications

Evolutionary Applications publishes papers that utilize concepts from evolutionary biology to address biological questions of health, social and economic relevance. Papers are expected to employ evolutionary concepts or methods to make contributions to areas such as (but not l...... Read More

Agricultural and Biological Sciences

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Last updated on
07 Jun 2020
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ISSN
1752-4563
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Impact Factor
High - 1.417
i
Open Access
Yes
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Sherpa RoMEO Archiving Policy
Green faq
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Plagiarism Check
Available via Turnitin
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Endnote Style
Download Available
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Bibliography Name
apa
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Citation Type
Numbered
[25]
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Bibliography Example
Beenakker, C.W.J. (2006) Specular andreev reflection in graphene.Phys. Rev. Lett., 97 (6), 067 007. URL 10.1103/PhysRevLett.97.067007.

Top papers written in this journal

open accessOpen access Journal Article DOI: 10.1111/J.1752-4571.2007.00013.X
Adaptation, migration or extirpation: climate change outcomes for tree populations
Sally N. Aitken1, Sam Yeaman1, Jason A. Holliday1, Tongli Wang1, Sierra Curtis-McLane1

Abstract:

Species distribution models predict a wholesale redistribution of trees in the next century, yet migratory responses necessary to spatially track climates far exceed maximum post-glacial rates. The extent to which populations will adapt will depend upon phenotypic variation, strength of selection, fecundity, interspecific com... Species distribution models predict a wholesale redistribution of trees in the next century, yet migratory responses necessary to spatially track climates far exceed maximum post-glacial rates. The extent to which populations will adapt will depend upon phenotypic variation, strength of selection, fecundity, interspecific competition, and biotic interactions. Populations of temperate and boreal trees show moderate to strong clines in phenology and growth along temperature gradients, indicating substantial local adaptation. Traits involved in local adaptation appear to be the product of small effects of many genes, and the resulting genotypic redundancy combined with high fecundity may facilitate rapid local adaptation despite high gene flow. Gene flow with preadapted alleles from warmer climates may promote adaptation and migration at the leading edge, while populations at the rear will likely face extirpation. Widespread species with large populations and high fecundity are likely to persist and adapt, but will likely suffer adaptational lag for a few generations. As all tree species will be suffering lags, interspecific competition may weaken, facilitating persistence under suboptimal conditions. Species with small populations, fragmented ranges, low fecundity, or suffering declines due to introduced insects or diseases should be candidates for facilitated migration. read more read less

Topics:

Local adaptation (56%)56% related to the paper, Interspecific competition (54%)54% related to the paper, Population (52%)52% related to the paper, Adaptation (51%)51% related to the paper
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1,719 Citations
open accessOpen access Journal Article DOI: 10.1111/EVA.12137
Climate change, adaptation, and phenotypic plasticity: the problem and the evidence.
Juha Merilä1, Andrew P. Hendry2

Abstract:

Many studies have recorded phenotypic changes in natural populations and attributed them to climate change. However, controversy and uncertainty has arisen around three levels of inference in such studies. First, it has proven difficult to conclusively distinguish whether phenotypic changes are genetically based or the result... Many studies have recorded phenotypic changes in natural populations and attributed them to climate change. However, controversy and uncertainty has arisen around three levels of inference in such studies. First, it has proven difficult to conclusively distinguish whether phenotypic changes are genetically based or the result of phenotypic plasticity. Second, whether or not the change is adaptive is usually assumed rather than tested. Third, inferences that climate change is the specific causal agent have rarely involved the testing – and exclusion – of other potential drivers. We here review the various ways in which the above inferences have been attempted, and evaluate the strength of support that each approach can provide. This methodological assessment sets the stage for 11 accompanying review articles that attempt comprehensive syntheses of what is currently known – and not known – about responses to climate change in a variety of taxa and in theory. Summarizing and relying on the results of these reviews, we arrive at the conclusion that evidence for genetic adaptation to climate change has been found in some systems, but is still relatively scarce. Most importantly, it is clear that more studies are needed – and these must employ better inferential methods – before general conclusions can be drawn. Overall, we hope that the present paper and special issue provide inspiration for future research and guidelines on best practices for its execution. read more read less
View PDF
980 Citations
open accessOpen access Journal Article DOI: 10.1111/J.1752-4571.2010.00166.X
Evolution and behavioural responses to human-induced rapid environmental change.
Andrew Sih1, Maud C. O. Ferrari1, David J. Harris1

Abstract:

Almost all organisms live in environments that have been altered, to some degree, by human activities. Because behaviour mediates interactions between an individual and its environment, the ability of organisms to behave appropriately under these new conditions is crucial for determining their immediate success or failure in ... Almost all organisms live in environments that have been altered, to some degree, by human activities. Because behaviour mediates interactions between an individual and its environment, the ability of organisms to behave appropriately under these new conditions is crucial for determining their immediate success or failure in these modified environments. While hundreds of species are suffering dramatically from these environmental changes, others, such as urbanized and pest species, are doing better than ever. Our goal is to provide insights into explaining such variation. We first summarize the responses of some species to novel situations, including novel risks and resources, habitat loss/fragmentation, pollutants and climate change. Using a sensory ecology approach, we present a mechanistic framework for predicting variation in behavioural responses to environmental change, drawing from models of decision-making processes and an understanding of the selective background against which they evolved. Where immediate behavioural responses are inadequate, learning or evolutionary adaptation may prove useful, although these mechanisms are also constrained by evolutionary history. Although predicting the responses of species to environmental change is difficult, we highlight the need for a better understanding of the role of evolutionary history in shaping individuals’ responses to their environment and provide suggestion for future work. read more read less

Topics:

Environmental change (52%)52% related to the paper
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922 Citations
open accessOpen access Journal Article DOI: 10.1111/J.1752-4571.2009.00104.X
Linkage disequilibrium estimates of contemporary Ne using highly variable genetic markers: a largely untapped resource for applied conservation and evolution
Robin S. Waples1, Chi Do

Abstract:

Genetic methods are routinely used to estimate contemporary effective population size (N e) in natural populations, but the vast majority of applications have used only the temporal (two-sample) method. We use simulated data to evaluate how highly polymorphic molecular markers affect precision and bias in the single-sample me... Genetic methods are routinely used to estimate contemporary effective population size (N e) in natural populations, but the vast majority of applications have used only the temporal (two-sample) method. We use simulated data to evaluate how highly polymorphic molecular markers affect precision and bias in the single-sample method based on linkage disequilibrium (LD). Results of this study are as follows: (1) Low-frequency alleles upwardly bias [Formula: see text], but a simple rule can reduce bias to <about 10% without sacrificing much precision. (2) With datasets routinely available today (10-20 loci with 10 alleles; 50 individuals), precise estimates can be obtained for relatively small populations (N e < 200), and small populations are not likely to be mistaken for large ones. However, it is very difficult to obtain reliable estimates for large populations. (3) With 'microsatellite' data, the LD method has greater precision than the temporal method, unless the latter is based on samples taken many generations apart. Our results indicate the LD method has widespread applicability to conservation (which typically focuses on small populations) and the study of evolutionary processes in local populations. Considerable opportunity exists to extract more information about N e in nature by wider use of single-sample estimators and by combining estimates from different methods. read more read less

Topics:

Linkage disequilibrium (50%)50% related to the paper, Effective population size (50%)50% related to the paper
View PDF
812 Citations
open accessOpen access Journal Article DOI: 10.1111/J.1752-4571.2011.00192.X
Assessing the benefits and risks of translocations in changing environments : a genetic perspective

Abstract:

Translocations are being increasingly proposed as a way of conserving biodiversity, particularly in the management of threatened and keystone species, with the aims of maintaining biodiversity and ecosystem function under the combined pressures of habitat fragmentation and climate change. Evolutionary genetic considerations s... Translocations are being increasingly proposed as a way of conserving biodiversity, particularly in the management of threatened and keystone species, with the aims of maintaining biodiversity and ecosystem function under the combined pressures of habitat fragmentation and climate change. Evolutionary genetic considerations should be an important part of translocation strategies, but there is often confusion about concepts and goals. Here, we provide a classification of translocations based on specific genetic goals for both threatened species and ecological restoration, separating targets based on ‘genetic rescue’ of current population fitness from those focused on maintaining adaptive potential. We then provide a framework for assessing the genetic benefits and risks associated with translocations and provide guidelines for managers focused on conserving biodiversity and evolutionary processes. Case studies are developed to illustrate the framework. read more read less

Topics:

Conservation genetics (53%)53% related to the paper, Population (52%)52% related to the paper, Assisted colonization (51%)51% related to the paper, Threatened species (50%)50% related to the paper
View PDF
703 Citations
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Evolutionary Applications format uses apa citation style.

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Frequently asked questions

1. Can I write Evolutionary Applications in LaTeX?

Absolutely not! Our tool has been designed to help you focus on writing. You can write your entire paper as per the Evolutionary Applications guidelines and auto format it.

2. Do you follow the Evolutionary Applications guidelines?

Yes, the template is compliant with the Evolutionary Applications guidelines. Our experts at SciSpace ensure that. If there are any changes to the journal's guidelines, we'll change our algorithm accordingly.

3. Can I cite my article in multiple styles in Evolutionary Applications?

Of course! We support all the top citation styles, such as APA style, MLA style, Vancouver style, Harvard style, and Chicago style. For example, when you write your paper and hit autoformat, our system will automatically update your article as per the Evolutionary Applications citation style.

4. Can I use the Evolutionary Applications templates for free?

Sign up for our free trial, and you'll be able to use all our features for seven days. You'll see how helpful they are and how inexpensive they are compared to other options, Especially for Evolutionary Applications.

5. Can I use a manuscript in Evolutionary Applications that I have written in MS Word?

Yes. You can choose the right template, copy-paste the contents from the word document, and click on auto-format. Once you're done, you'll have a publish-ready paper Evolutionary Applications that you can download at the end.

6. How long does it usually take you to format my papers in Evolutionary Applications?

It only takes a matter of seconds to edit your manuscript. Besides that, our intuitive editor saves you from writing and formatting it in Evolutionary Applications.

7. Where can I find the template for the Evolutionary Applications?

It is possible to find the Word template for any journal on Google. However, why use a template when you can write your entire manuscript on SciSpace , auto format it as per Evolutionary Applications's guidelines and download the same in Word, PDF and LaTeX formats? Give us a try!.

8. Can I reformat my paper to fit the Evolutionary Applications's guidelines?

Of course! You can do this using our intuitive editor. It's very easy. If you need help, our support team is always ready to assist you.

9. Evolutionary Applications an online tool or is there a desktop version?

SciSpace's Evolutionary Applications is currently available as an online tool. We're developing a desktop version, too. You can request (or upvote) any features that you think would be helpful for you and other researchers in the "feature request" section of your account once you've signed up with us.

10. I cannot find my template in your gallery. Can you create it for me like Evolutionary Applications?

Sure. You can request any template and we'll have it setup within a few days. You can find the request box in Journal Gallery on the right side bar under the heading, "Couldn't find the format you were looking for like Evolutionary Applications?”

11. What is the output that I would get after using Evolutionary Applications?

After writing your paper autoformatting in Evolutionary Applications, you can download it in multiple formats, viz., PDF, Docx, and LaTeX.

12. Is Evolutionary Applications's impact factor high enough that I should try publishing my article there?

To be honest, the answer is no. The impact factor is one of the many elements that determine the quality of a journal. Few of these factors include review board, rejection rates, frequency of inclusion in indexes, and Eigenfactor. You need to assess all these factors before you make your final call.

13. What is Sherpa RoMEO Archiving Policy for Evolutionary Applications?

SHERPA/RoMEO Database

We extracted this data from Sherpa Romeo to help researchers understand the access level of this journal in accordance with the Sherpa Romeo Archiving Policy for Evolutionary Applications. The table below indicates the level of access a journal has as per Sherpa Romeo's archiving policy.

RoMEO Colour Archiving policy
Green Can archive pre-print and post-print or publisher's version/PDF
Blue Can archive post-print (ie final draft post-refereeing) or publisher's version/PDF
Yellow Can archive pre-print (ie pre-refereeing)
White Archiving not formally supported
FYI:
  1. Pre-prints as being the version of the paper before peer review and
  2. Post-prints as being the version of the paper after peer-review, with revisions having been made.

14. What are the most common citation types In Evolutionary Applications?

The 5 most common citation types in order of usage for Evolutionary Applications are:.

S. No. Citation Style Type
1. Author Year
2. Numbered
3. Numbered (Superscripted)
4. Author Year (Cited Pages)
5. Footnote

15. How do I submit my article to the Evolutionary Applications?

It is possible to find the Word template for any journal on Google. However, why use a template when you can write your entire manuscript on SciSpace , auto format it as per Evolutionary Applications's guidelines and download the same in Word, PDF and LaTeX formats? Give us a try!.

16. Can I download Evolutionary Applications in Endnote format?

Yes, SciSpace provides this functionality. After signing up, you would need to import your existing references from Word or Bib file to SciSpace. Then SciSpace would allow you to download your references in Evolutionary Applications Endnote style according to Elsevier guidelines.

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I spent hours with MS word for reformatting. It was frustrating - plain and simple. With SciSpace, I can draft my manuscripts and once it is finished I can just submit. In case, I have to submit to another journal it is really just a button click instead of an afternoon of reformatting.

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