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#CiteTheDOI

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GBIF Mammut sp.

New paper in The 3rd International Electronic Conference on Diversity: Biodiversity of Animals, Plants and Microorganisms using @gbif mediated data:

Modeling the Spatial Distribution and Habitat Suitability of Fasciola hepatica, a #Trematode Parasite of Domestic Animals in #Ukraine 🇺🇦

#CiteTheDOI: ✅

#OpenAccess: ⭐️

doi.org/10.3390/blsf2024039003

MDPIAbstracts of the 3rd International Electronic Conference on Diversity: Biodiversity of Animals, Plants and MicroorganismsThe 3rd International Electronic Conference on Diversity: Biodiversity of Animals, Plants and Microorganisms (IECD 2024) was held from 15 to 17 October 2024. The conference focused on the key theme of biodiversity from a wide range of domains, especially animals and plants. The conference was in a virtual format, eliminating the need for travel and other related expenses, allowing attendees to fully immerse themselves in the conference without any logistical constraints. It aimed to foster collaboration and knowledge exchange among researchers.
Public
GBIF Mammut sp.

New paper in Jurnal Manajemen Hutan Tropika (Journal of Tropical Forest Management) using @gbif mediated data:

Assessing Habitat Suitability for the Invasive Species Lantana camara on #Bali Island: A Model Using the Biodiversity and #ClimateChange Virtual Laboratory (BCCVL) 🇮🇩

#CiteTheDOI: ❌

doi.org/10.7226/jtfm.30.3.305

doi.orgAssessing Habitat Suitability for the Invasive Species Lantana camara on Bali Island: A Model Using the Biodiversity and Climate Change Virtual Laboratory (BCCVL)Indonesia, known for its high biodiversity, is threatened due to alien plants that invade local plant species in forest areas. West Bali National Park is overgrown with invasive exotic plants, such as Lantana camara L., known locally as the kembang telek. The research aims to predict the distribution of L. camara using species distribution models (SDMs) and analysis variable contribution in the model featured in the biodiversity climate change virtual laboratory (BCCVL) application. L. camara distribution prediction model in Bali used the Bioclim data input by identifying areas of low, medium, and high habitat suitability. Central mountainous regions, including parts of Buleleng, Jembrana, Bangli, Karangasem, and Tabanan, show the highest suitability. Response curves demonstrated the correlation between climate variables and occurrence probability, highlighting the specific condition of rainfall and temperature ranges favoring Lantanas growth. The model showed a reliable AUC value of 0.89, indicating realibility. Potential improvements through additional environmental parameters were suggested. While L. camara has some potential benefits as a medicinal plant in Balinese culture, its invasive nature poses significant threats to native ecosystems. The predictive map offers valuable insights for authorities to implement initiative-taking strategies for preventing and controlling Lantanas spread in vulnerable areas of Bali.
Public
GBIF Mammut sp.

New paper in Forests using @gbif mediated data:

Species Diversity of the Family #Arecaceae: What Are the Implications of Their Biogeographical Representation? An Analysis in #Amazonas, Northeastern #Peru 🇵🇪

#CiteTheDOI: ❌

doi.org/10.3390/f16010076

MDPISpecies Diversity of the Family Arecaceae: What Are the Implications of Their Biogeographical Representation? An Analysis in Amazonas, Northeastern PeruThe understanding of species distribution in Peru is limited, in part due to cartographic representations that traditionally use political rather than biogeographical boundaries. The objective of this study was to determine the distribution of Arecaceae species in the department of Amazonas by representing them in biogeographical regions. To this end, geographic information systems and global databases were used to map and analyze the species in four categories: Ecosystems Map, Ecoregions Map, Peru Climate Classification Map, and Protected Natural Areas Map. Subsequently, diversity metrics were estimated, revealing high diversity in Amazonas, with 22 genera and 90 species of Arecaceae representing 51.16% and 41.28% of the records in Peru, respectively. In addition, predominant genera and species were identified, and diversity was evaluated in biogeographic units. Of a total of 336,029 records, 45 genera were found, with Geonoma and Bactris being the most representative, and of the 218 species found in total, the records that stood out the most varied according to biogeographical regions. For each Biogeographic unit by category, different responses were obtained, for example, for Index Margalef, between 0.000 (low in Agricultural Area), 7.2489 (medium in Eastern Cordillera Real Montane Forests), and 13.2636 (high in Non-protected Areas). Similarly, for the Shannon–Wiener diversity index (H¯), where values were obtained between 0.000 (low in Jalca (Andean High Grasslands), (medium in Reserved Zonez) and 3.7054 (high in Non-protected Areas). The results suggest high under-recording, evidencing gaps in knowledge and information, as analyses based on detailed studies of diversity in specific biogeographic categories in these other families, as well as future research to determine, for example, genomes and Hill numbers, will be carried out. The conclusions highlight the high correlation between the diversity metrics analyzed, confirm the theoretical validity, and allow us to recommend species richness and the Margalef Index as useful and relevant metrics due to their applicability and ease of interpretation. This study offers key information for decision makers in policies for the conservation of Arecaceae diversity and motivates us to project research of this type in other families in Peru.
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GBIF Mammut sp.

New paper in PeerJ using @gbif mediated data:

Mapping species of greatest #conservation need and #solar energy potential in the arid Southwest for future sustainable development 🇺🇸

#CiteTheDOI: ✅

#OpenAccess: ⭐️

doi.org/10.7717/peerj.18568

PeerJMapping species of greatest conservation need and solar energy potential in the arid Southwest for future sustainable developmentThe need for renewable energy has become increasingly evident in response to the climate change crisis, presenting a paradoxical challenge to biodiversity conservation. The Southwest United States is desirable for large-scale solar energy development (SED) due to its high global horizontal irradiance (GHI) values and vast open landscapes. However, this region is also rich in unique ecological and biological diversity. Several distinct species have garnered special attention as human population growth, habitat alteration, and climate change have accelerated in recent decades (i.e., LeConte’s Thrasher (Toxostoma lecontei), Bendire’s Thrasher (Toxostoma bendirei), Sonoran Desert Tortoise (Gopherus morafkai), Mojave Desert Tortoise (Gopherus agassizii), and the Southwestern population of the Burrowing Owl (Athene cunicularia). As the United States prepares to increase its development in renewable energies, particularly solar energy, there has been a growing concern about how this development will further impact these species. In this study, we propose a novel combined approach to find areas of high habitat suitability for endangered species within areas of high SED potential. Specifically, we employed species distribution modeling (SDM) to identify areas with suitable habitats and likely species presence, and we conducted a site suitability analysis for potential SED locations within the Southwest. As a result, we found significant overlap between potential SED locations and the high-priority habitats of all target species, thus underlining the importance of prioritizing conservation efforts as more solar projects are reviewed in these Southwestern states. Our study aims to inform conservationists and developers in making sustainable decisions for the region’s future development.
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