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Example of Wildlife Research format Example of Wildlife Research format Example of Wildlife Research format Example of Wildlife Research format Example of Wildlife Research format Example of Wildlife Research format Example of Wildlife Research format Example of Wildlife Research format Example of Wildlife Research format Example of Wildlife Research format Example of Wildlife Research format Example of Wildlife Research format Example of Wildlife Research format Example of Wildlife Research format Example of Wildlife Research format Example of Wildlife Research format Example of Wildlife Research format Example of Wildlife Research format Example of Wildlife Research format Example of Wildlife Research format Example of Wildlife Research format Example of Wildlife Research format Example of Wildlife Research format Example of Wildlife Research format Example of Wildlife Research format Example of Wildlife Research format Example of Wildlife Research format Example of Wildlife Research format Example of Wildlife Research format Example of Wildlife Research format Example of Wildlife Research format
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Example of Wildlife Research format Example of Wildlife Research format Example of Wildlife Research format Example of Wildlife Research format Example of Wildlife Research format Example of Wildlife Research format Example of Wildlife Research format Example of Wildlife Research format Example of Wildlife Research format Example of Wildlife Research format Example of Wildlife Research format Example of Wildlife Research format Example of Wildlife Research format Example of Wildlife Research format Example of Wildlife Research format Example of Wildlife Research format Example of Wildlife Research format Example of Wildlife Research format Example of Wildlife Research format Example of Wildlife Research format Example of Wildlife Research format Example of Wildlife Research format Example of Wildlife Research format Example of Wildlife Research format Example of Wildlife Research format Example of Wildlife Research format Example of Wildlife Research format Example of Wildlife Research format Example of Wildlife Research format Example of Wildlife Research format Example of Wildlife Research format
Sample paper formatted on SciSpace - SciSpace
This content is only for preview purposes. The original open access content can be found here.
open access Open Access
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Wildlife Research — Template for authors

Publisher: CSIRO Publishing
Guideline source
Categories Rank Trend in last 3 yrs
Ecology, Evolution, Behavior and Systematics #235 of 647 up up by 19 ranks
Management, Monitoring, Policy and Law #141 of 355 down down by 32 ranks
journal-quality-icon Journal quality:
Good
calendar-icon Last 4 years overview: 281 Published Papers | 831 Citations
indexed-in-icon Indexed in: Scopus
last-updated-icon Last updated: 06/07/2020
Related journals
Insights
General info
Top papers
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Related Journals

open access Open Access
recommended Recommended

Fish and Fisheries

Wiley

Quality:  
High
CiteRatio: 12.0
SJR: 2.747
SNIP: 2.853
Indexed in: Scopus Last updated: 05/07/2020
open access Open Access

European Journal of Wildlife Research

Springer

Quality:  
Good
CiteRatio: 2.6
SJR: 0.637
SNIP: 0.87
Indexed in: Scopus Last updated: 09/06/2020
open access Open Access

Wetlands Ecology and Management

Springer

Quality:  
Good
CiteRatio: 2.6
SJR: 0.486
SNIP: 0.746
Indexed in: Scopus Last updated: 12/06/2020
open access Open Access

North American Journal of Fisheries Management

American Fisheries Society

Quality:  
Good
CiteRatio: 2.0
SJR: 0.587
SNIP: 0.797
Indexed in: Scopus Last updated: 11/07/2020

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.

1.669

34% from 2018

Impact factor for Wildlife Research from 2016 - 2019
Year Value
2019 1.669
2018 1.244
2017 1.41
2016 1.29
graph view Graph view
table view Table view

3.0

20% from 2019

CiteRatio for Wildlife Research from 2016 - 2020
Year Value
2020 3.0
2019 2.5
2018 2.7
2017 2.5
2016 2.4
graph view Graph view
table view Table view

insights Insights

  • Impact factor of this journal has increased by 34% in last year.
  • This journal’s impact factor is in the top 10 percentile category.

insights Insights

  • CiteRatio of this journal has increased by 20% 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.

0.81

4% from 2019

SJR for Wildlife Research from 2016 - 2020
Year Value
2020 0.81
2019 0.847
2018 0.802
2017 0.874
2016 0.784
graph view Graph view
table view Table view

1.099

28% from 2019

SNIP for Wildlife Research from 2016 - 2020
Year Value
2020 1.099
2019 0.858
2018 0.859
2017 0.785
2016 0.777
graph view Graph view
table view Table view

insights Insights

  • SJR of this journal has decreased 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 28% in last years.
  • This journal’s SNIP is in the top 10 percentile category.

Wildlife Research

Guideline source: View

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CSIRO Publishing

Wildlife Research

Approved by publishing and review experts on SciSpace, this template is built as per for Wildlife Research formatting guidelines as mentioned in CSIRO Publishing author instructions. The current version was created on 06 Jul 2020 and has been used by 964 authors to write and format their manuscripts to this journal.

Management, Monitoring, Policy and Law

Ecology, Evolution, Behavior and Systematics

Environmental Science

i
Last updated on
06 Jul 2020
i
ISSN
1035-3712
i
Impact Factor
Medium - 0.753
i
Open Access
No
i
Sherpa RoMEO Archiving Policy
Green faq
i
Plagiarism Check
Available via Turnitin
i
Endnote Style
Download Available
i
Bibliography Name
CSIRO Custom Citation
i
Citation Type
Author Year
(Blonder et al., 1982)
i
Bibliography Example
 Blonder, G. E., Tinkham, M. and Klapwijk, T. M. (1982). Transition from metallic to tunneling regimes in superconducting microconstrictions: Excess current, charge im-balance, and supercurrent conversion, Phys. Rev. B 25(7), 4515–4532. URL: 10.1103/PhysRevB.25.4515

Top papers written in this journal

open accessOpen access • Journal Article • DOI: 10.1071/WR99107 •
Kullback-Leibler information as a basis for strong inference in ecological studies
Kenneth P. Burnham1, David E. Anderson •
Colorado State University1
12 Apr 2001 - Wildlife Research

Abstract:

We describe an information-theoretic paradigm for analysis of ecological data, based on Kullback–Leibler information, that is an extension of likelihood theory and avoids the pitfalls of null hypothesis testing. Information-theoretic approaches emphasise a deliberate focus on the a priori science in developing a set of multip... We describe an information-theoretic paradigm for analysis of ecological data, based on Kullback–Leibler information, that is an extension of likelihood theory and avoids the pitfalls of null hypothesis testing. Information-theoretic approaches emphasise a deliberate focus on the a priori science in developing a set of multiple working hypotheses or models. Simple methods then allow these hypotheses (models) to be ranked from best to worst and scaled to reflect a strength of evidence using the likelihood of each model (gi), given the data and the models in the set (i.e. L(gi | data)). In addition, a variance component due to model-selection uncertainty is included in estimates of precision. There are many cases where formal inference can be based on all the models in the a priori set and this multi-model inference represents a powerful, new approach to valid inference. Finally, we strongly recommend inferences based on a priori considerations be carefully separated from those resulting from some form of data dredging. An example is given for questions related to age- and sex-dependent rates of tag loss in elephant seals (Mirounga leonina). read more read less

Topics:

Inference (59%)59% related to the paper, Strong inference (55%)55% related to the paper, Data dredging (54%)54% related to the paper, Kullback–Leibler divergence (51%)51% related to the paper, Null hypothesis (50%)50% related to the paper
View PDF
863 Citations
Journal Article • DOI: 10.1071/WR9930045 •
VORTEX: a computer simulation model for population viability analysis
Robert C. Lacy
01 Jan 1993 - Wildlife Research

Abstract:

Population Viability Analysis (PVA) is the estimation of extinction probabilities by analyses that incorporate identifiable threats to population survival into models of the extinction process. Extrinsic forces, such as habitat loss, over-harvesting, and competition or predation by introduced species, often lead to population... Population Viability Analysis (PVA) is the estimation of extinction probabilities by analyses that incorporate identifiable threats to population survival into models of the extinction process. Extrinsic forces, such as habitat loss, over-harvesting, and competition or predation by introduced species, often lead to population decline. Although the traditional methods of wildlife ecology can reveal such deterministic trends, random fluctuations that increase as populations become smaller can lead to extinction even of populations that have, on average, positive population growth when below carrying capacity. Computer simulation modelling provides a tool for exploring the viability of populations subjected to many complex, interacting deterministic and random processes. One such simulation model, VORTEX, has been used extensively by the Captive Breeding Specialist Group (Species Survival Commission, IUCN), by wildlife agencies, and by university classes. The algorithms, structure, assumptions and applications of VORTEX are described in this paper. VORTEX models population processes as discrete, sequential events, with probabilistic outcomes. VORTEX simulates birth and death processes and the transmission of genes through the generations by generating random numbers to determine whether each animal lives or dies, to determine the number of progeny produced by each female each year, and to determine which of the two alleles at a genetic locus are transmitted from each parent to each offspring. Fecundity is assumed to be independent of age after an animal reaches reproductive age. Mortality rates are specified for each pre-reproductive age-sex class and for reproductive-age animals. Inbreeding depression is modelled as a decrease in viability in inbred animals. The user has the option of modelling density dependence in reproductive rates. As a simple model of density dependence in survival, a carrying capacity is imposed by a probabilistic truncation of each age class if the population size exceeds the specified carrying capacity. VORTEX can model linear trends in the carrying capacity. VORTEX models environmental variation by sampling birth rates, death rates, and the carrying capacity from binomial or normal distributions. Catastrophes are modelled as sporadic random events that reduce survival and reproduction for one year. VORTEX also allows the user to supplement or harvest the population, and multiple subpopulations can be tracked, with user-specified migration among the units. VORTEX outputs summary statistics on population growth rates, the probability of population extinction, the time to extinction, and the mean size and genetic variation in extant populations. VORTEX necessarily makes many assumptions. The model it incorporates is most applicable to species with low fecundity and long lifespans, such as mammals, birds and reptiles. It integrates the interacting effects of many of the deterministic and stochastic processes that have an impact on the viability of small populations, providing opportunity for more complete analysis than is possible by other techniques. PVA by simulation modelling is an important tool for identifying populations at risk of extinction, determining the urgency of action, and evaluating options for management. read more read less

Topics:

Population viability analysis (60%)60% related to the paper, Population size (59%)59% related to the paper, Population (58%)58% related to the paper, Small population size (54%)54% related to the paper, Extinction (54%)54% related to the paper
504 Citations
Journal Article • DOI: 10.1071/WR00033 •
A review of methods to estimate the abundance of terrestrial carnivores using field signs and observation
G. J. Wilson, Richard J. Delahay
12 Apr 2001 - Wildlife Research

Abstract:

This paper reviews field methods for estimating and monitoring the abundance of terrestrial carnivores that do not involve capture. Effective methods of monitoring abundance are important tools for the management and conservation of many species. The development of methods for carnivores presents particular challenges, as the... This paper reviews field methods for estimating and monitoring the abundance of terrestrial carnivores that do not involve capture. Effective methods of monitoring abundance are important tools for the management and conservation of many species. The development of methods for carnivores presents particular challenges, as they are often secretive and widely dispersed. Nevertheless, a variety of approaches based on direct observations and quantification of field signs have been employed. These techniques are described in relation to carnivore ecology and resource implications, and the advantages and deficiencies of each are discussed with reference to case studies. Estindasvore G.ls J W033 Ga J. Rlah read more read less
330 Citations
open accessOpen access • Journal Article • DOI: 10.1071/WR14229 •
Human–wildlife interactions in urban areas: a review of conflicts, benefits and opportunities
Carl D. Soulsbury1, Piran C. L. White2 •
University of Lincoln1, University of York2
01 Jul 2015 - Wildlife Research

Abstract:

Wildlife has existed in urban areas since records began. However, the discipline of urban ecology is relatively new and one that is undergoing rapid growth. All wildlife in urban areas will interact with humans to some degree. With rates of urbanisation increasing globally, there is a pressing need to understand the type and ... Wildlife has existed in urban areas since records began. However, the discipline of urban ecology is relatively new and one that is undergoing rapid growth. All wildlife in urban areas will interact with humans to some degree. With rates of urbanisation increasing globally, there is a pressing need to understand the type and nature of human–wildlife interactions within urban environments, to help manage, mitigate or even promote these interactions. Much research attention has focussed on the core topic of human–wildlife conflict. This inherent bias in the literature is probably driven by the ease with which it can be quantified and assessed. Human–wildlife conflicts in terms of disease transmission, physical attack and property damage are important topics to understand. Equally, the benefits of human–wildlife interactions are becoming increasingly recognised, despite being harder to quantify and generalise. Wildlife may contribute to the provision of ecosystem services in urban areas, and some recent work has shown how interactions with wildlife can provide a range of benefits to health and wellbeing. More research is needed to improve understanding in this area, requiring wildlife biologists to work with other disciplines including economics, public health, sociology, ethics, psychology and planning. There will always be a need to control wildlife populations in certain urban situations to reduce human–wildlife conflict. However, in an increasingly urbanised and resource-constrained world, we need to learn how to manage the risks from wildlife in new ways, and to understand how to maximise the diverse benefits that living with wildlife can bring. read more read less

Topics:

Wildlife conservation (61%)61% related to the paper, Human–wildlife conflict (60%)60% related to the paper, Wildlife management (57%)57% related to the paper, Wildlife (52%)52% related to the paper, Urbanization (50%)50% related to the paper
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308 Citations
open accessOpen access • Journal Article • DOI: 10.1071/WR9880435 •
Fox control and rock-wallaby population dynamics
J. E. Kinnear, M. L. Onus, R. N. Bromilow
01 Jan 1988 - Wildlife Research

Abstract:

The population dynamics of five remnant rock-wallaby populations (Petrogale lateralis) persisting on granite outcrops in the central wheatbelt region of Western Australia were monitored over a six year period. From 1979 to 1982 all populations remained relatively static or declined for unknown reasons, but circumstantial evid... The population dynamics of five remnant rock-wallaby populations (Petrogale lateralis) persisting on granite outcrops in the central wheatbelt region of Western Australia were monitored over a six year period. From 1979 to 1982 all populations remained relatively static or declined for unknown reasons, but circumstantial evidence implicated fox predation. A fox control program was implemented in 1982 on two outcrops and was maintained for four years with the result that the two resident rock-wallaby populations increased by 138 and 223%. Two rock-wallaby populations occupying sites not subjected to fox control declined by 14 and 85%, and the third population increased by 29%. It was concluded that the fox has probably been a significant factor in the demise and decline of native mammals in the past, and that surviving populations are still at risk. Control of predation pressure on nature reserves was shown to be feasible from a management perspective. read more read less

Topics:

Population (54%)54% related to the paper, Rock-wallaby (53%)53% related to the paper, Population decline (50%)50% related to the paper, Petrogale lateralis (50%)50% related to the paper
View PDF
279 Citations
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Wildlife Research format uses CSIRO Custom Citation citation style.

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Frequently asked questions

1. Can I write Wildlife Research in LaTeX?

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

2. Do you follow the Wildlife Research guidelines?

Yes, the template is compliant with the Wildlife Research 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 Wildlife Research?

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 Wildlife Research citation style.

4. Can I use the Wildlife Research 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 Wildlife Research.

5. Can I use a manuscript in Wildlife Research 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 Wildlife Research that you can download at the end.

6. How long does it usually take you to format my papers in Wildlife Research?

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

7. Where can I find the template for the Wildlife Research?

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 Wildlife Research'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 Wildlife Research'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. Wildlife Research an online tool or is there a desktop version?

SciSpace's Wildlife Research 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 Wildlife Research?

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 Wildlife Research?”

11. What is the output that I would get after using Wildlife Research?

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

12. Is Wildlife Research'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 Wildlife Research?

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 Wildlife Research. 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 Wildlife Research?

The 5 most common citation types in order of usage for Wildlife Research 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 Wildlife Research?

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 Wildlife Research's guidelines and download the same in Word, PDF and LaTeX formats? Give us a try!.

16. Can I download Wildlife Research 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 Wildlife Research Endnote style according to Elsevier guidelines.

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