Biodiversity Informatics

Scope & Guideline

Bridging the gap between biodiversity and technology for impactful research.

Introduction

Welcome to the Biodiversity Informatics information hub, where our guidelines provide a wealth of knowledge about the journal’s focus and academic contributions. This page includes an extensive look at the aims and scope of Biodiversity Informatics, highlighting trending and emerging areas of study. We also examine declining topics to offer insight into academic interest shifts. Our curated list of highly cited topics and recent publications is part of our effort to guide scholars, using these guidelines to stay ahead in their research endeavors.
LanguageEnglish
ISSN-
PublisherUNIV KANSAS, NATURAL HISTORY MUSEUM & BIODIVERSITY RESEARCH CTR
Support Open AccessNo
Country-
Type-
Converge-
AbbreviationBIODIVERS INFORM / Biodivers. Inform.
Frequency1 issue/year
Time To First Decision-
Time To Acceptance-
Acceptance Rate-
Home Page-
Address1345 JAYHAWK BLVD, LAWRENCE, KS 66045-7163

Aims and Scopes

Biodiversity Informatics focuses on the integration of biodiversity data and computational tools to enhance our understanding and management of biodiversity. This journal aims to bridge the gap between data collection, analysis, and application in biodiversity research and conservation efforts.
  1. Ecological Niche Modeling:
    The journal emphasizes the development and application of ecological niche models to predict species distributions and ecological niches, utilizing various data types such as presence-absence data.
  2. Data Management and Usability in Biodiversity Research:
    A significant focus is placed on best practices for managing biodiversity data, including guidelines for citizen science projects and the usability of data systems for biological collections.
  3. Species Distribution and Geographic Range Analysis:
    Research on methods and tools for analyzing species distribution patterns and geographic ranges is a core area, including the use of R packages for data exploration.
  4. Integration of Genetic Diversity in Biodiversity Frameworks:
    The journal supports studies that connect genetic diversity indicators to broader biodiversity frameworks, highlighting the importance of genetic information in conservation strategies.
  5. Interdisciplinary Approaches to Biodiversity Data:
    Biodiversity Informatics encourages interdisciplinary research that combines ecological, genetic, and computational methodologies to provide comprehensive insights into biodiversity.
Recent publications in Biodiversity Informatics reveal several emerging themes that reflect the journal's evolving focus on innovative methodologies and pressing biodiversity challenges. These trends highlight areas of increasing relevance and importance in biodiversity research.
  1. Advancements in Computational Tools for Biodiversity Research:
    There is a growing trend towards the development and application of computational tools, such as R packages for ecological niche modeling and species distribution analysis, reflecting the increasing reliance on technology in biodiversity studies.
  2. Focus on Genetic Diversity Indicators:
    Recent papers emphasize the importance of genetic diversity indicators within biodiversity frameworks, showcasing a shift towards incorporating genetic data as critical components of biodiversity assessments.
  3. Citizen Science and Community Engagement:
    The rise in publications addressing data management practices in citizen science indicates a trend towards recognizing the value of public participation in biodiversity monitoring and data collection.
  4. Integration of Large-Scale Data Mining Techniques:
    The use of big GIS-data mining techniques to predict species occurrences signifies an emerging focus on leveraging large datasets for robust biodiversity inference, which is increasingly relevant in addressing ecological questions.
  5. Geographic Information Systems (GIS) Applications:
    The application of GIS in visualizing species richness and site similarity has become a prominent theme, reflecting the importance of spatial analysis in biodiversity research.

Declining or Waning

While Biodiversity Informatics has a strong focus on emerging themes, certain areas appear to be declining in prominence based on the recent publication trends. These waning themes indicate a shift in research priorities within the journal.
  1. Historical Data Analysis:
    There seems to be a decline in the publication of papers focused on historical biodiversity data analysis, as recent titles favor contemporary modeling and data management practices.
  2. General Biodiversity Surveys without Specific Focus:
    Research papers that report general biodiversity surveys without a specific methodological or analytical focus are becoming less common, as the journal shifts towards more targeted studies with clear applications.
  3. Traditional Field Methods in Isolation:
    There is a noticeable reduction in papers that discuss traditional field methods in isolation, suggesting a move towards integrating field data with computational and modeling approaches.

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