Abstract
In the Antarctic, Arctic, and Tibetan Plateau—recognized as the Earth’s three poles characterized by extremely harsh environments—lichens prevail in the ecosystem and play crucial roles as pioneer species. Despite their importance, studies investigating the spatial distribution patterns of lichen attributes are scarce due to a lack of appropriate datasets. To bridge this gap and enhance our understanding of the growth preferences of lichens in these areas, here we present a geospatial dataset encompassing key attributes of lichens, such as color type and growth form, for over 2800 lichen species and 170,000 in-situ lichen records. The dataset facilitates the creation of the first spatial distribution map illustrating the variation of lichen attributes across different latitudes and longitudes. This can serve as a foundational resource for studies on the relationship between lichen types and their growing environment, which is a vital scientific question in the ecology domain. Additionally, it can contribute to the development of specialized remote sensing technique tailored for lichen monitoring, which is currently lacking.
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Background & Summary
Lichens are composite organisms, comprising algae or cyanobacteria coexisting with filamentous fungi species within a mutualistic relationship1. These entities showcase remarkable stress tolerance, considerable longevity, slow growth rates, and an inherent adaptability that allows them to thrive in the harshest of environments1,2,3. These unique set of attributes enables their growth and reproduction in the world’s most extreme environments, including the Antarctic, Arctic, and Tibetan Plateau—essentially Earth’s three poles, where conventional plant life struggles to survive4. Lichens are recognized as “pioneer species” due to their ability to weather rock surfaces through the secretion of lichen acids, thereby creating favourable conditions for the growth of higher plants5,6,7,8. They also play pivotal roles in ecosystem establishment, nutrient cycling, and carbon sequestration, supporting the maintenance of biodiversity and ecosystem stability within polar regions8,9,10. Therefore, understanding the lichen distribution and its anticipated changes in response to climate variations holds significant importance in predicting the future of ecosystems and environments in the three poles.
A substantial body of literature delves into the diversity of lichen species in the Earth’s three poles. Comprehensive reviews by Bliss11, Markova12, and Pickard and Seppelt13 have provided meticulous insights into the ecological zones of polar regions, encompassing lichen flora and its spatial distribution in both the Arctic and Antarctic. Thomson and Scotter conducted an exhaustive survey of lichens in various Arctic regions, including the Great Slave Lake region, Bathurst Inlet region, Bylot and Northern Baffin Islands, Eastern Axel Heiberg Island, the Fosheim Peninsula, and the Cape Parry and Melville Hills14,15,16,17,18. Thomson’s two volumes on Arctic lichens in the U.S. and Canadian regions cover 965 lichen species19,20. Kristinsson et al. compiled a pan-Arctic lichen checklist spanning 31 regions, including Wrangel Island, Baffin Island, Labrador, Greenland, Jan Mayen, and Arctic Norway, documenting various lichen species21. Paulina et al. investigated lichen diversity on glacier moraines in Svalbard (Longyearbreen, Rieperbreen, and Irenebreen), identifying 135 lichen species22. They also compared lichen composition and richness across these sites. Øvstedal and Smith conducted detailed research on the taxonomy and identification of Antarctic lichens, cataloging over 400 species23. On Livingston Island in the South Shetland Islands, Antarctica, Sancho reported the presence of 108 lichen species24, while Søchting et al. reported 187 lichen species from the same area25. Research efforts focused on the lichen flora of the Tibetan Plateau have predominantly been spearheaded by Chinese scientists, with the publication Lichens of Xizang cataloging a total of 194 lichen species26.
Across these discovered species, lichens exhibit a remarkable diversity in appearance, and understanding how their functional traits vary with climate and habitat availability is crucial for predicting community responses to climate change. For example, lichens display a diverse array of colors, ranging from orange, yellow, red, to green, gray, brown, and black27,28. Colors other than green often result from secondary metabolites that provide various self-protective abilities, such as shielding against sunlight and deterring consumption by animals29. The colors of lichens impact their albedo, which is linked to the absorption of energy30 and ultimately influences their wider distribution31,32. Lichens also show different thallus size, shape, and growth patterns33 intricately linked with their growth rates, ecological functions, and nutrient requirements5,34,35. Lichens morphological features are primarily governed by the mycobiont, which are commonly classified into crustose, foliose, and fruticose1,36, while additional forms such as gelatinous and structureless were also documented in the literature36,37,38. Significant positive correlations have been observed between lichen growth forms and environmental factors39,40,41,42,43,44,45. For example, on the Tibetan Plateau, studies revealed a linear decline in species diversity for crustose and fruticose lichens with increasing elevation, while foliose lichens showed a cubic decline. However, most studies on lichen traits have been limited to specific local regions. This is mainly due to the variation in attribute kinds and definitions addressed across different studies. Moreover, the diverse range of lichen colors and growth forms also presents challenges in creating a comprehensive lichen trait dictionary. More standardized and integrative lichen trait frameworks are needed to support research on lichen stress resistance, responses to climate change, and to enhance remote sensing information extraction of lichens43,46 across large areas, including the three poles.
To facilitate a large-scale analysis of lichens, we meticulously selected and defined two key attributes: color type and growth form. This dataset allows for the investigation of the relationship between lichen types, categorized these attributes, and their respective growing environments—a topic of keen interest to ecologists. Furthermore, it facilitates the assessment of their tolerance levels to various extreme climates, determining their survival possibility under climate change scenarios. Considering the close relationship of these two attributes to surface reflection, our dataset also has the potential to drive advancements in remotely sensed detection techniques for lichen populations. This may enable timely and large-scale monitoring of lichens in the future.
Methods
To develop the geospatial dataset, we initially defined two lichen attributes: color type and growth form. These attributes were chosen due to their significant correlation with lichen physiological and biochemical characteristics, as well as their association with reflection spectra. Here is the workflow (Fig. 1).
Define the two lichen attributes
The attributes of lichens play a crucial role in shaping their adaptability to varied environments, establishing their significance as environmental indicators, and serving as distinctive features for identification. This article specifically concentrates on the color type and growth form of lichens.
Color type
Considering their distinct roles in heat regulation and the protective qualities of similar secondary metabolites, we have classified lichen colors into four groups: pale, green, bright, and dark, defining the color type attribute (Table 1). The pale type includes lichens exhibiting white, gray, or yellowish-gray hues, typically containing lobaric acid, usnic acid, and norstictic acid, recognized for their antibacterial and antioxidant properties32. The green type comprises lichens lacking colorful secondary compounds, appearing green when wet and grayish-green when dry. The bright type encompasses lichens showcasing vivid yellow, orange, and red colors, often producing compounds such as parietin, pinastric acid, vulpinic acid, known for their vibrant colors and antioxidant properties. The dark type refers to lichens in brown or black shades, primarily attributed to melanins, stictic acid, and gyrophoric acid. It’s important to note that the colors of lichens are also influenced by their moisture content. When lichens are wet, the photobiont layer (algae or cyanobacteria) dominates the observed color, as moisture renders the cortex more transparent. In contrast, the color of secondary compounds becomes more prominent when lichens are dry. In this paper, the color type is defined with respect to the dry state of lichens.
Growth form
We employed the classification guidelines established by Hale36 to systematically categorize these growth forms into crustose, foliose, and fruticose (Table 2). Crustose lichens are notably short, lack a lower cortex, and typically adhere tightly to the substrate, resembling a coat or paint4,47. Separating them from the substrate without causing damage can be challenging, and they can contribute to rock weathering through physical processes involving hyphal penetration, as well as expansion/contraction of the lichen thallus, along with chemical processes via the release of various organic acids48. Foliose lichens possess flat, leaf-like lobes, are generally larger, and are less firmly attached to the substrate compared to crustose lichens4. The lobes of these lichens may overlap, resembling tiles, and the lower surface often features a tomentum or anchoring rhizinae, creating favorable microclimates and microhabitats for invertebrates4. Fruticose lichens display a bush-like, strap-shaped, or shrubby appearance, with the primary axis ranging from prostrate to erect. They commonly branch and are attached to the substrate by basal rhizoids47. Due to their dense thallus and complex vertical structures, they can regulate the temperature and humidity of their surroundings, providing roosting, living, and breeding spaces for other organisms1. It’s important to note that although lichen growth rate is often expressed as a linear measure (mm y−1), the meanings differ for the three growth forms. For foliose and crustose lichens, it indicates an increased radius, while for fruticose species, it represents increased tip length36.
Determine the species list of lichens in the three poles
To create a comprehensive species list encompassing the majority of lichen species in the three polar regions, we conducted an extensive literature survey. The taxonomic focus was primarily at the species level, although subspecies, varieties, species sensu lato, aggregations, and hybrids were also considered. For simplicity, we collectively refer to them as ‘species’ unless a detailed distinction is deemed necessary. Our search strategy involved the use of keywords such as ‘lichen,’ ‘diversity,’ ‘lichenized fungi,’ ‘Arctic,’ ‘Antarctic,’ ‘Tibetan Plateau,’ and ‘polar region’ in prominent academic databases, including the Web of Science (https://webofscience.clarivate.cn/), Springer libraries (https://link.springer.com/), and Chinese National Knowledge Infrastructure (https://www.cnki.net/). This search yielded an extensive collection of results, totalling over 3,680 relevant sources (the key source articles are outlined in Table 3). Based on the information provided with these literatures we curated a list comprising 2803 lichen species in the three poles.
Assign values for the two attributes of lichen species on the list
For each of the identified species on the list, we conducted a thorough investigation by consulting various electronic databases, including the Consortium of Lichen Herbaria49, The Lichen Herbarium50, and Fungal Names51. Utilizing these diverse sources, we assigned the color type and growth form for each lichen species. Throughout this process, according to the International Code of Nomenclature for algae, fungi, and plants (ICN), we meticulously verified and standardized the species names of these lichens. To ensure the accuracy of attribute assignments, each assignment underwent a minimum of two checks.
Acquire spatial distribution data for lichen with different attribute values
To acquire distribution information supporting a geospatial analysis of patterns associated with different attribute values, we gathered observation records for all species on the list from the GBIF database52,53,54,55,56,57,58,59,60,61,62,63,64,65,66,67,68,69,70,71,72,73,74,75,76,77,78,79,80,81,82,83,84,85,86,87,88,89,90,91,92,93,94,95,96,97,98,99,100,101,102,103,104,105,106,107,108,109,110,111,112,113,114,115,116,117,118,119,120,121,122,123,124,125,126,127,128,129,130,131,132,133,134,135,136,137,138,139,140,141,142,143,144. Given the extensive nature of this process, we employed specialized crawling technology and utilized the ‘Taxon Key,’ ‘basis of record,’ ‘has coordinate,’ and ‘polygon range’ R functions to automatically filter the database. Observation records were downloaded for each species within the three polar regions. In the results, entries lacking geographic coordinates were excluded, and duplicate distribution records were eliminated. The final dataset comprises 170801 lichen records.
The color type and growth form values were assigned to these geographic lichen records based on the information of the corresponding species. For additional insights into their growing environment, we included ecoregion and biome details for each lichen record based on the RESOLVE Ecoregions 2017 dataset145, a well-established resource widely utilized in ecological studies146,147. The ArcGIS software was employed to determine the ecoregion and biome names of the lichen based on its coordinate location. Moreover, considering that more detailed information could provide additional insights, we incorporated the GBIF “occurrenceID” in the dataset, allowing detailed attributes—such other morphological characteristics of lichens—to be easily retrieved from the original record through the occurrenceID. Consequently, each record consists of information on scientific name, latitude, longitude, ecoregion name, biome name, growth form, color type, and occurrenceID in the GBIF database.
Data Records
The dataset is accessible on the Zenodo repository148. The data record is provided as a table file in xlsx format, featuring columns including “Index,” “Polar,” “Scientific name,” “Latitude,” “Longitude,” “Ecoregion name,” “Biome name,” “Growth form,” “Color type,” and “occurrenceID”. The implications and data types for each column are detailed in Table 4. A snapshot of sample records from the dataset is presented in Table 5. The dataset is released under a Creative Commons Attribution 4.0 International (CC BY 4.0) license, granting users the freedom to share, copy, and redistribute the material in any medium or format, as well as to adapt, remix, transform, and build upon it for any purpose.
In summary, after an exhaustive literature search, we focused on 2,803 lichen species found in the three pole regions. Color type and growth form for each species were carefully assigned based on their descriptions, experimental statistics, and photos. The presented dataset comprises 170801 in-situ measurements collected from the Global Biodiversity Information Facility Database149 for 2803 lichen species distributed across Earth’s three poles. Among these, 2208 species and 167218 observation records were documented in the Arctic, 433 species with 3468 observation records were found in the Antarctic, and 382 species with 115 observation records were located in the Tibetan Plateau. It is noteworthy that the abundance of records in the Arctic significantly surpasses that in the other polar regions. This difference can be attributed to various factors, including longer research histories, native languages of researchers, and data-sharing practices. While this imbalance may introduce potential bias in results derived from different polar regions, it should have a relatively minor impact on analyses of distribution patterns for different attribute values based on relative proportions. This is because the data-sharing tendencies of collectors are likely to be similar in a certain region.
Among the identified species, 14 lichens are present in all three polar regions: Cladonia carneola, Cladonia chlorophaea, Cladonia pleurota, Cladonia pocillum, Cladonia pyxidata, Cladonia scabriuscula, Cladonia squamosa, Lecanora intricata, Parmelia saxatilis, Physcia caesia, Physconia muscigena, Rhizocarpon geographicum, Rhizocarpon superficiale, and Xanthoria elegans. Notably, the Arctic and the Tibetan Plateau exhibit a higher degree of species overlap, with approximately 110 species distributed in both regions. Examples of these shared species include Acarospora schleicheri, Ahtiana pallidula, and Bryoria divergescens. Additionally, the Arctic and Antarctic share around 96 species, such as Alectoria sarmentosa, Cladonia bellidiflora, and Cladonia deformis. Excluding the six species present in all three poles, only one species, Umbilicaria thamnodes, was recorded in both Antarctic and the Tibetan Plateau. Further details can be found in Table 6.
Technical Validation
To validate the usability and credibility of our dataset, we performed statistical analyses and cross-referenced the results with data obtained through field investigations and established scientific knowledge.
Firstly, we calculated the percentage of lichens with different attributes in each polar region, and the results are depicted in Fig. 2. Among the records in the dataset, dark lichens predominate in Antarctic (58.98%) and the Arctic (51.83%), while pale lichens are prevalent in the Tibetan Plateau (50.98%). The Antarctic region features virtually no green lichens but a significant presence of bright lichens (17.96%), in contrast to the Arctic (4.34%) and Tibetan Plateau (3.92%). The Arctic region boasts the highest proportion of green lichens among the three polar regions, albeit at a modest 8%. In contrast, the distribution of the three growth form types is relatively uniform and consistent across Earth’s three poles, with each growth form accounting for approximately 20% to 49%. These statistics are consistent with what we observed during our field investigation in Antarctic (January 2018, Ardley Island; February 2019, Great Wall Station), Arctic (July 2018, Ny-Alesund; July 2019, Yellow River Station), and Tibetan Plateau (August 2023, around the Ningchan River Glacier), which indicates the correctness of our dataset Fig. 3.
Lichens photos taken in the field investigation over the Earth’s three poles. (a) Pale, fruticose lichen in the Antarctic (58.955272°S 62.220753°W, January 14, 2018); (b) Dark, crustose lichen in the Arctic (78.158611°N 11.157056°E, July 15, 2018); (c) Crustose lichens of bright, pale, and dark color types on the Tibetan Plateau (37.527780°N 101.830143°E, August 18, 2023).
Secondly, we conducted a spatial analysis to examine the distribution patterns of different lichen attribute values through a relative comparison across various ecoregions. The results are presented in Fig. 4. Note that among the 70 ecoregions spanning Earth’s three poles, 14 ecoregions contain fewer than five lichen record. To prevent bias in the analysis, these ecoregions were excluded from subsequent assessments. From the results, a noticeable trend of increasing dark lichens with latitude is observed in both the Arctic and Antarctic, showing that the heat-absorbing property of dark lichen makes it possessing better adaptability in cold high latitude regions. However, this trend is not evident in the Tibetan Plateau, likely due to the complex topography and landforms in this region. Likewise, pale lichens exhibit a decreasing trend with latitude, comprising roughly one-quarter of the proportion in Northern high latitudes and becoming exceedingly rare in Southern high latitudes. Green lichens, possibly having low photoprotection ability, present in 25 out of 44 ecoregions in the Arctic. In contrast, they are found in only 5 out of 12 ecoregions in the Tibetan Plateau and a single ecoregion in Antarctic which are known with high-level of ultraviolet intensity150. Concerning growth forms, all three growth forms were documented in 24 out of 44 ecoregions in the Arctic. Notably, there is a higher prevalence of crustose lichens in high latitudes which has limited water and nutrition supply, and a greater occurrence of foliose lichens in low latitudes. Similarly, in Antarctic, fruticose lichens are primarily found in low latitudinal ecoregions. Like the case for the color type, the relationships between growth forms and geolocations are less clear due to the complicated topography in the Tibetan Plateau. The distribution pattern of these attributes can be well explained by heat regulation, photoprotection, and nutritional requirements, aligning with scientific common sense. This underscores the technical accuracy and effectiveness of our dataset.
Relative proportions of lichen color types and growth forms by ecoregion: (a) Arctic, (b) Antarctic, and (c) Tibetan Plateau. In each panel, concentric circles show growth forms in the inner circle and color types in the outer circle. Numbers represent ecoregion numbers from in the repository, with colors corresponding to biome regions in (d).
Usage Notes
This dataset can be used as a foundational resource for comprehensive investigations into the intricate interplay between lichen physiology and the growth environment, addressing a significant knowledge gap in the field. The inclusion of geospatial information allows for correlation analysis between the occurrence probability of different types of lichens, categorized by the two attributes, and various climate parameters. This analysis may contribute to uncovering climate thresholds for different lichens. Moreover, our dataset holds the potential to tackle challenges associated with remote sensing monitoring of lichens, a longstanding issue in vegetation remote sensing. Specifically, the color type defined and provided by our dataset is closely related to the spectral signature of lichens. This connection can facilitate the development of reflectance indices or spectral recognition methods for distinguishing various types of lichens.
Despite the richness of the dataset, it remains incomplete due to inherent challenges in data collection and organization, particularly the diversity of lichen species, the variability of regional habitats, and the absence of geographic coordinates for some records. While these challenges are unavoidable, they are not insurmountable. We plan to make regular updates and improvements to enhance the dataset’s completeness and accuracy. As data collection progresses, future versions will address these gaps and provide more detailed information on lichen distribution and traits. We are confident that these issues will be systematically resolved as the dataset evolves.
Data availability
The data and code are available at Zenodo148 (https://doi.org/10.5281/zenodo.8424701). The data needs to be run in the R (version 3.7) software.
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Acknowledgements
The research was co-funded by the National Science Foundation of China (42276241) and the International Joint Research Project of Chinese Academy of Sciences (183611KYSB20200059). We would like to thank GBIF for sharing the massive species occurrence data that provided the basis for the establishment of our dataset.
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W. Wu and H. Guo conceived the ideas; Alatanzhula collected sources, processed the data, and performed the analysis; C. Hao, J. Li, Alatanzhula, and X. Li conducted the field investigation. Alatanzhula and W. Wu wrote the paper; X. Li and L. Zhao reviewed the paper and contributed substantially to revisions.
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Alatan, Z., Wu, W., Li, X. et al. A geospatial dataset of lichen key attributes in the Earth’s three poles. Sci Data 11, 1248 (2024). https://doi.org/10.1038/s41597-024-04072-8
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DOI: https://doi.org/10.1038/s41597-024-04072-8






