Biodiversity Informatics in Plant Science: Progresses and Perspectives

A special issue of Plants (ISSN 2223-7747). This special issue belongs to the section "Plant Genetic Resources".

Deadline for manuscript submissions: 31 December 2025 | Viewed by 2698

Special Issue Editor


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Guest Editor
Department of Life Sciences, University of Trieste, Trieste, Italy
Interests: biodiversity informatics; citizen science; taxonomy and ecology of lichenicolous fungi; plant conservation
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Special Issue Information

Dear Colleagues,

Biodiversity informatics is a broad field of investigation that encompasses all applications of information technology (IT) in biodiversity research, particularly in addressing challenges related to organizing, accessing, and exploring biodiversity data.

Research and applications in biodiversity informatics span the entire “lifecycle” of biodiversity data, from their production—through fieldwork, the mobilization of natural history specimens, and data from the literature—to their use in modeling past, present, and future scenarios of plant diversity in the context of global changes. Beyond developing novel IT approaches for managing biodiversity data, biodiversity informatics also focuses on creating and enhancing data standards. These standards are essential for ensuring interoperability and enabling the aggregation of data into large repositories, such as the Plant Trait Database (TRY) and the Global Biodiversity Information Facility (GBIF).

Data standards have become increasingly relevant in recent years as a growing volume of biodiversity data are being generated by volunteers through citizen science initiatives and platforms such as iNaturalist. By adopting reliable standards, these data are now seamlessly integrated into global aggregators like the GBIF at an accelerating pace. This presents new opportunities for researchers, as access to vast datasets is crucial for understanding the impacts of global change. However, it also poses challenges, particularly regarding data quality and the limitations of data not derived from standardized and repeatable sampling protocols.

Furthermore, artificial intelligence (AI) applications are unlocking exciting opportunities in biodiversity informatics. These include automated species identification, analysis of the morphological effects of pathogens, the extraction of metadata from digitized herbarium specimens, and many other potential uses yet to be fully elucidated.

Digitization itself is a significant area of research within biodiversity informatics. On the one hand, the digitization of plant collections is still underdeveloped. For example, of the approximately 3 billion records available in GBIF, only about 250 million come from preserved specimens, with around 120 million representing plant specimens. This is a fraction of the estimated 387 million existing plant specimens. To address this gap, new strategies and approaches are needed to mobilize these untapped resources. On the other hand, digitized specimens can be enriched by linking them to other resources, such as molecular data, functional traits, and the literature. As a result, digital specimens can tranform from mere representations of preserved biological objects into comprehensive, interconnected resources. 

This Special Issue welcomes all types of research in the field of biodiversity informatics applied to plant sciences.

Dr. Stefano Martellos
Guest Editor

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Keywords

  • apps
  • awareness raising
  • aggregation of biodiversity data
  • artificial intelligence
  • biogeography
  • citizen science
  • computer vision
  • conservation
  • digital specimens
  • digitization
  • functional traits
  • global change
  • invasive alien species (IAS)
  • mobilization of biodiversity data
  • molecular data
  • open and FAIR data
  • plant diversity
  • species distribution models (SDMs)

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Published Papers (2 papers)

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Research

17 pages, 4317 KiB  
Article
Global Species Diversity Patterns of Polypodiaceae Under Future Climate Changes
by Sibo Huang, Gangmin Zhang and Wenpan Dong
Plants 2025, 14(5), 711; https://doi.org/10.3390/plants14050711 - 26 Feb 2025
Viewed by 531
Abstract
Global change influences species diversity patterns. Compared with seed plants, ferns are more sensitive to temperature and humidity changes and are an ideal group for studying species diversity patterns under future climate changes. Polypodiaceae, which has important ecological and application value, such as [...] Read more.
Global change influences species diversity patterns. Compared with seed plants, ferns are more sensitive to temperature and humidity changes and are an ideal group for studying species diversity patterns under future climate changes. Polypodiaceae, which has important ecological and application value, such as medicinal and ornamental value, is one of the most widely distributed fern families, with rich species diversity. Here, we explore the changes in the species diversity patterns of Polypodiaceae and their influencing factors. We collected more than 300,000 data points on the distribution of Polypodiaceae to map actual current species diversity patterns. We used Maxent to establish current and future potential species distribution models using 20 predictors and determined the current species diversity patterns using the actual current species diversity patterns and current potential species distribution model method. Multiple linear regression and random forest models were used to evaluate the effects of climate factors on the species diversity patterns of Polypodiaceae. We evaluated the effects of future climate changes on the species diversity of Polypodiaceae. The species diversity of Polypodiaceae increased gradually from higher to lower latitudes and the centers were concentrated in the low latitudes of tropical rainforests. There were four distribution centers across the world for Polypodiaceae: central America, central Africa, southern Asia, and northern Oceania. The species diversity of Polypodiaceae was greatly affected by precipitation factors rather than temperature factors. Under future climate change scenarios, species diversity is expected to shift and accumulate toward the equator in mid-to-low latitudes. Species diversity is projected to remain concentrated in low-latitude regions but will tend to aggregate towards higher altitude areas as global temperatures rise, with precipitation during the warmest season identified as the most influential factor. Full article
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13 pages, 1376 KiB  
Article
The Phenotypic Variation in Moso Bamboo and the Selection of Key Traits
by Shihui Zheng, Songpo Wei, Jiarui Li, Jingsheng Wang, Ziyun Deng, Rui Gu, Shaohui Fan and Guanglu Liu
Plants 2024, 13(12), 1625; https://doi.org/10.3390/plants13121625 - 12 Jun 2024
Cited by 1 | Viewed by 1341
Abstract
This research aimed to explore the diverse phenotypic characteristics of moso bamboo in China and pinpoint essential characteristics of moso bamboo. In this study, 63 grids were selected using the grid method to investigate 28 phenotypic traits of moso bamboo across the entire [...] Read more.
This research aimed to explore the diverse phenotypic characteristics of moso bamboo in China and pinpoint essential characteristics of moso bamboo. In this study, 63 grids were selected using the grid method to investigate 28 phenotypic traits of moso bamboo across the entire distribution area of China. The results suggest that the phenotypic traits of moso bamboo exhibit rich diversity, with coefficients of variation ranging from 5.87% to 36.57%. The phenotypic traits of moso bamboo showed varying degrees of correlation. A principal component analysis was used to identify seven main phenotypic trait indicators: diameter at breast height (DBH), leaf area (LA), leaf weight (LW), branch-to-leaf ratio (BLr), leaf moisture content (Lmc), wall-to-cavity ratio (WCr), and node length at breast height (LN), which accounted for 81.64% of the total information. A random forest model was used, which gave good results to validate the results. The average combined phenotypic trait value (D-value) of most germplasm was 0.563. The highest D-value was found in Wuyi 1 moso in Fujian (0.803), while the lowest D-value was observed in Pingle 2 moso in Guangxi (0.317). The clustering analysis of phenotypic traits classified China’s moso bamboo germplasm into four groups. Group I had the highest D-value and is an important candidate germplasm for excellent germplasm screening. Full article
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