Example of Perspectives in Plant Ecology, Evolution and Systematics format
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Example of Perspectives in Plant Ecology, Evolution and Systematics format Example of Perspectives in Plant Ecology, Evolution and Systematics format Example of Perspectives in Plant Ecology, Evolution and Systematics format Example of Perspectives in Plant Ecology, Evolution and Systematics format Example of Perspectives in Plant Ecology, Evolution and Systematics format Example of Perspectives in Plant Ecology, Evolution and Systematics format Example of Perspectives in Plant Ecology, Evolution and Systematics format Example of Perspectives in Plant Ecology, Evolution and Systematics format Example of Perspectives in Plant Ecology, Evolution and Systematics format Example of Perspectives in Plant Ecology, Evolution and Systematics format Example of Perspectives in Plant Ecology, Evolution and Systematics format Example of Perspectives in Plant Ecology, Evolution and Systematics format Example of Perspectives in Plant Ecology, Evolution and Systematics format Example of Perspectives in Plant Ecology, Evolution and Systematics format Example of Perspectives in Plant Ecology, Evolution and Systematics format Example of Perspectives in Plant Ecology, Evolution and Systematics format Example of Perspectives in Plant Ecology, Evolution and Systematics format
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Example of Perspectives in Plant Ecology, Evolution and Systematics format Example of Perspectives in Plant Ecology, Evolution and Systematics format Example of Perspectives in Plant Ecology, Evolution and Systematics format Example of Perspectives in Plant Ecology, Evolution and Systematics format Example of Perspectives in Plant Ecology, Evolution and Systematics format Example of Perspectives in Plant Ecology, Evolution and Systematics format Example of Perspectives in Plant Ecology, Evolution and Systematics format Example of Perspectives in Plant Ecology, Evolution and Systematics format Example of Perspectives in Plant Ecology, Evolution and Systematics format Example of Perspectives in Plant Ecology, Evolution and Systematics format Example of Perspectives in Plant Ecology, Evolution and Systematics format Example of Perspectives in Plant Ecology, Evolution and Systematics format Example of Perspectives in Plant Ecology, Evolution and Systematics format Example of Perspectives in Plant Ecology, Evolution and Systematics format Example of Perspectives in Plant Ecology, Evolution and Systematics format Example of Perspectives in Plant Ecology, Evolution and Systematics format Example of Perspectives in Plant Ecology, Evolution and Systematics format
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open access Open Access

Perspectives in Plant Ecology, Evolution and Systematics — Template for authors

Publisher: Elsevier
Categories Rank Trend in last 3 yrs
Plant Science #61 of 445 up up by 1 rank
Ecology, Evolution, Behavior and Systematics #91 of 647 up up by 8 ranks
journal-quality-icon Journal quality:
High
calendar-icon Last 4 years overview: 173 Published Papers | 874 Citations
indexed-in-icon Indexed in: Scopus
last-updated-icon Last updated: 15/06/2020
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Related Journals

open access Open Access

Springer

Quality:  
High
CiteRatio: 4.0
SJR: 0.875
SNIP: 0.949
open access Open Access
recommended Recommended

Springer

Quality:  
High
CiteRatio: 6.1
SJR: 1.095
SNIP: 1.178
open access Open Access

Springer

Quality:  
High
CiteRatio: 4.0
SJR: 0.848
SNIP: 1.375

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.

2.54

1% from 2018

Impact factor for Perspectives in Plant Ecology, Evolution and Systematics from 2016 - 2019
Year Value
2019 2.54
2018 2.524
2017 2.82
2016 3.123
graph view Graph view
table view Table view

5.1

16% from 2019

CiteRatio for Perspectives in Plant Ecology, Evolution and Systematics from 2016 - 2020
Year Value
2020 5.1
2019 4.4
2018 4.7
2017 4.7
2016 5.1
graph view Graph view
table view Table view

insights Insights

  • Impact factor of this journal has increased by 1% in last year.
  • This journal’s impact factor is in the top 10 percentile category.

insights Insights

  • CiteRatio of this journal has increased by 16% 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.

1.25

4% from 2019

SJR for Perspectives in Plant Ecology, Evolution and Systematics from 2016 - 2020
Year Value
2020 1.25
2019 1.2
2018 1.238
2017 1.501
2016 1.878
graph view Graph view
table view Table view

1.213

12% from 2019

SNIP for Perspectives in Plant Ecology, Evolution and Systematics from 2016 - 2020
Year Value
2020 1.213
2019 1.086
2018 1.189
2017 1.232
2016 1.467
graph view Graph view
table view Table view

insights Insights

  • SJR of this journal has increased by 4% in last years.
  • This journal’s SJR is in the top 10 percentile category.

insights Insights

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

Perspectives in Plant Ecology, Evolution and Systematics

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Elsevier

Perspectives in Plant Ecology, Evolution and Systematics

Perspectives in Plant Ecology, Evolution and Systematics is a young international journal which provides a platform for reviews and longer research articles in the fields of ecology, evolution and systematics of plants. The journal is supported by the Rübel Foundation, a priva...... Read More

Ecology, Evolution, Behavior and Systematics

Plant Science

Agricultural and Biological Sciences

i
Last updated on
15 Jun 2020
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ISSN
1433-8319
i
Impact Factor
High - 1.551
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Acceptance Rate
35%
i
Open Access
Yes
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Sherpa RoMEO Archiving Policy
Green faq
i
Plagiarism Check
Available via Turnitin
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Endnote Style
Download Available
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Bibliography Name
elsarticle-num
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Citation Type
Numbered
[25]
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Bibliography Example
G. E. Blonder, M. Tinkham, T. M. Klapwijk, Transition from metallic to tunneling regimes in superconducting microconstrictions: Excess current, charge imbalance, and supercurrent conversion, Phys. Rev. B 25 (7) (1982) 4515–4532. URL 10.1103/PhysRevB.25.4515

Top papers written in this journal

Journal Article DOI: 10.1016/J.PPEES.2007.09.004
Predicting global change impacts on plant species' distributions: Future challenges

Abstract:

Given the rate of projected environmental change for the 21st century, urgent adaptation and mitigation measures are required to slow down the on-going erosion of biodiversity. Even though increasing evidence shows that recent human-induced environmental changes have already triggered species' range shifts, changes in phenolo... Given the rate of projected environmental change for the 21st century, urgent adaptation and mitigation measures are required to slow down the on-going erosion of biodiversity. Even though increasing evidence shows that recent human-induced environmental changes have already triggered species' range shifts, changes in phenology and species' extinctions, accurate projections of species' responses to future environmental changes are more difficult to ascertain. This is problematic, since there is a growing awareness of the need to adopt proactive conservation planning measures using forecasts of species' responses to future environmental changes. There is a substantial body of literature describing and assessing the impacts of various scenarios of climate and land-use change on species' distributions. Model predictions include a wide range of assumptions and limitations that are widely acknowledged but compromise their use for developing reliable adaptation and mitigation strategies for biodiversity. Indeed, amongst the most used models, few, if any, explicitly deal with migration processes, the dynamics of population at the "trailing edge" of shifting populations, species' interactions and the interaction between the effects of climate and land-use. In this review, we propose two main avenues to progress the understanding and prediction of the different processes A occurring on the leading and trailing edge of the species' distribution in response to any global change phenomena. Deliberately focusing on plant species, we first explore the different ways to incorporate species' migration in the existing modelling approaches, given data and knowledge limitations and the dual effects of climate and land-use factors. Secondly, we explore the mechanisms and processes happening at the trailing edge of a shifting species' distribution and how to implement them into a modelling approach. We finally conclude this review with clear guidelines on how such modelling improvements will benefit conservation strategies in a changing world. (c) 2007 Rubel Foundation, ETH Zurich. Published by Elsevier GrnbH. All rights reserved. read more read less

Topics:

Population (55%)55% related to the paper, Environmental change (53%)53% related to the paper
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1,134 Citations
Journal Article DOI: 10.1078/1433-8319-00042
Tropical forest recovery: legacies of human impact and natural disturbances
Robin L. Chazdon1

Abstract:

Land-use history interacts with natural forces to influence the severity of disturbance events and the rate and nature of recovery processes in tropical forests. Although we are far from an integrated view of forest recovery processes, some generalizations can be made. Recovery of forest structure and composition is relativel... Land-use history interacts with natural forces to influence the severity of disturbance events and the rate and nature of recovery processes in tropical forests. Although we are far from an integrated view of forest recovery processes, some generalizations can be made. Recovery of forest structure and composition is relatively rapid following disturbances that primarily impact forest canopies, such as hurricanes. Recovery is considerably slower following disturbances that heavily impact soils as well as aboveground vegetation, such as bulldozing, heavy or long-term grazing, and severe fires, often with long-lasting effects on species composition. The landscape matrix plays a critical role in local recovery processes. Proximity of disturbed areas to remnant forest patches promotes more rapid recovery, which depends heavily on seed dispersal. Recovery of aboveground biomass is constrained by soil fertility and texture across regions as well as across soil types within a region. Restoration of soil fertility may be a prerequisite for forest recovery on sites with severely degraded soils. Despite evidence of rapid forest recovery following large-scale deforestation, many degraded areas of today’s tropics will require human assistance to recover forest structure, species composition, and species interactions typical of mature tropical forests. read more read less

Topics:

Secondary forest (64%)64% related to the paper, Forest restoration (64%)64% related to the paper, Forest ecology (62%)62% related to the paper, Forest floor (60%)60% related to the paper, Disturbance (ecology) (56%)56% related to the paper
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919 Citations
Journal Article DOI: 10.1078/1433-8319-00004
Invasiveness, invasibility and the role of environmental stress in the spread of non-native plants
Peter Alpert1, Elizabeth Bone1, Claus Holzapfel1

Abstract:

Invasion ecology, the study of how organisms spread in habitats to which they are not native, asks both about the invasiveness of species and the invasibility of habitats: Which species are most likely to become invasive? Which habitats are most susceptible to invasion? To set the stage for considering these questions with re... Invasion ecology, the study of how organisms spread in habitats to which they are not native, asks both about the invasiveness of species and the invasibility of habitats: Which species are most likely to become invasive? Which habitats are most susceptible to invasion? To set the stage for considering these questions with regard to plants, we offer a two-way classification of nativeness and invasiveness that distinguishes natives, non-invasive non-natives and invasive non-natives. We then consider the current state of knowledge about invasiveness and invasibility. Despite much investigation, it has proven difficult to identify traits that consistently predict invasiveness. This may be largely because different traits favour invasiveness in different habitats. It has proven easier to identify types of habitats that are relatively invasible, such as islands and riverbanks. Factors thought to render habitats invasible include low intensities of competition, altered disturbance regimes and low levels of environmental stress, especially high resource availability. These factors probably often interact; the combination of altered disturbance with high resource availability may particularly promote invasibility. When biotic factors control invasibility, non-natives that are unlike native species may prove more invasive; the converse may also be true. We end with a simple conceptual model for cases in which high levels of environmental stress should and should not reduce invasibility. In some cases, it may be possible to manipulate stress to control biological invasions by plants. read more read less
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843 Citations
Journal Article DOI: 10.1078/1433-8319-00006
Effects of life history traits and sampling strategies on genetic diversity estimates obtained with RAPD markers in plants
Hilde Nybom1, Igor V. Bartish1

Abstract:

A compilation of studies using RAPD markers for evaluating population differentiation resulted in 78 estimates of AMOVA-derived Φ ST and 31 estimates of Nei's G ST , as well as in 41 estimates of Nei's within-population diversity. In outcrossing taxa, estimates of between-population diversity were closely correlated with maxi... A compilation of studies using RAPD markers for evaluating population differentiation resulted in 78 estimates of AMOVA-derived Φ ST and 31 estimates of Nei's G ST , as well as in 41 estimates of Nei's within-population diversity. In outcrossing taxa, estimates of between-population diversity were closely correlated with maximum geographic distance between sampled populations. A corresponding association was not found in selfing taxa. These results suggest that RAPD can be a sensitive method for detection of genetic structuring according to the isolation-by-distance model. However, it also means that sampling strategies, as applied in individual studies, can seriously influence the resulting estimates of between-population diversity. Other sampling strategies, like number of plants per population and number of scored polymorphic markers, do not seem to impart any serious artefacts. As previously verified with allozyme data, RAPD markers showed that long-lived, outcrossing, late successional taxa retain most of their genetic variability within populations. By contrast, annual, selfing and/or early successional taxa allocate most of the genetic variability among populations. Estimates for between- and within-population diversity, respectively, proved to be negatively correlated, as previously reported for allozyme data. The only major discrepancy between allozymes and RAPD markers concerns geographic range; within-population diversity was strongly affected by distributional range of the investigated species in the allozyme data but not in the RAPD data. Moreover, RAPD-based values for between-population diversity increased with increasing distributional range whereas the opposite has been reported in a large allozyme data compilation. Contrary to allozymes, RAPD marker-derived within-population diversity is probably therefore not a very good predictor of total species genetic diversity. read more read less

Topics:

RAPD (61%)61% related to the paper, Genetic diversity (56%)56% related to the paper, Outcrossing (55%)55% related to the paper, Genetic variability (54%)54% related to the paper, Population (52%)52% related to the paper
832 Citations
Journal Article DOI: 10.1078/1433-8319-00083
Allocation, plasticity and allometry in plants
Jacob Weiner1

Abstract:

Allocation is one of the central concepts in modern ecology, providing the basis for different strategies. Allocation in plants has been conceptualized as a proportional or ratio-driven process (‘partitioning’). In this view, a plant has a given amount of resources at any point in time and it allocates these resources to diff... Allocation is one of the central concepts in modern ecology, providing the basis for different strategies. Allocation in plants has been conceptualized as a proportional or ratio-driven process (‘partitioning’). In this view, a plant has a given amount of resources at any point in time and it allocates these resources to different structures. But many plant ecological processes are better understood in terms of growth and size than in terms of time. In an allometric perspective, allocation is seen as a size-dependent process: allometry is the quantitative relationship between growth and allocation. Therefore most questions of allocation should be posed allometrically, not as ratios or proportions. Plants evolve allometric patterns in response to numerous selection pressures and constraints, and these patterns explain many behaviours of plant populations. In the allometric view, plasticity in allocation can be understood as a change in a plant's allometric trajectory in response to the environment. Some allocation patterns show relatively fixed allometric trajectories, varying in different environments primarily in the speed at which the trajectory is travelled, whereas other allocation patterns show great flexibility in their behaviour at a given size. Because plant growth is often indeterminate and its rate highly influenced by environmental conditions, ‘plasticity in size’ is not a meaningful concept. We need a new way to classify, describe and analyze plant allocation and plasticity because the concepts ‘trait’ and ‘plasticity’ are too broad. Three degrees of plasticity can be distinguished: (1) allometric growth (‘apparent plasticity’), (2) modular proliferation and local physiological adaptation, and (3) integrated plastic responses. Plasticity, which has evolved because it increases individual fitness, can be a disadvantage in plant production systems, where we want to optimize population, not individual, performance. read more read less

Topics:

Population (52%)52% related to the paper, Allometry (51%)51% related to the paper
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729 Citations
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13. What is Sherpa RoMEO Archiving Policy for Perspectives in Plant Ecology, Evolution and Systematics?

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 Perspectives in Plant Ecology, Evolution and Systematics. 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 Perspectives in Plant Ecology, Evolution and Systematics?

The 5 most common citation types in order of usage for Perspectives in Plant Ecology, Evolution and Systematics are:.

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

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