, commonly known as the tiger butterfly, is a visually appealing species in the Danaidae family. As it is not currently classified as endangered, it is excluded from key protected species lists at national and local levels, limiting focus on its population and habitat status, which may result in it being overlooked in local butterfly conservation initiatives. Yunnan, characterized by high butterfly diversity, presents an ideal region for studying habitat suitability for , which may support the conservation of regional biodiversity. This study employs the MaxEnt ecological niche model, predictions regarding suitable habitat distribution, and trends for and identifying primary environmental factors influencing their distribution. The results indicate that the niche model that includes interspecies relationships provides a distribution prediction closely aligned with the observed range of . Under current climatic conditions, highly suitable habitats for both and its host plant, , are located predominantly in the Yuanjiang River Valley. Optimal conditions occur at average annual temperatures of 19.80-22 °C for and 22-24 °C for . The distribution range of is a vital biological factor limiting 's habitat. By 2040, projections under four future climate scenarios indicate a potential increase in the total area of suitable habitats for , with a general trend of northward expansion.
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http://dx.doi.org/10.3390/insects15120971 | DOI Listing |
Sci Rep
January 2025
School of Pharmacy, Chengdu University of TCM, Chengdu, 611137, China.
Habitat requirements and species' ecological suitability are essential conditions for species conservation and management. Under the influence of different environmental variables, assessing the habitat quality of medicinal plants is an important issue to ensure the quality of medicinal plants and protect biodiversity. This study explores the impact of environmental variables on the distribution of Astragalus mongholicus Bunge (A.
View Article and Find Full Text PDFSci Rep
January 2025
Department of Ecology and Silviculture, Faculty of Forestry, University of Agriculture in Krakow, 29 Listopada 46 Str, Krakow, 31-425, Poland.
Tree species through aboveground biomass and roots are a key factors influencing the quality and quantity of soil organic matter. Our study aimed to determine the stability of soil organic matter in Luvisols under the influence of five different tree species. The study areas were located 25 km north of Krakow, in southern Poland.
View Article and Find Full Text PDFPlant Cell Environ
January 2025
Key Laboratory of the Ministry of Education for Coastal and Wetland Ecosystems, College of the Environment and Ecology, Xiamen University, Xiamen, China.
Understanding plant adaptations in extreme environments is crucial, as these adaptations often confer advantages for survival. However, a significant gap exists regarding the genetic mechanisms underlying these adaptations and their responses to human-induced rapid environmental change (HIREC). This study addresses the question of whether genetic convergence occurs among plants with similar adaptive features, specifically focusing on isobilateral leaves in mangrove species.
View Article and Find Full Text PDFEnviron Monit Assess
January 2025
Universidad Nacional de Córdoba - Facultad de Ciencias Agropecuarias, X5000HUA, Córdoba, Argentina.
Landscape metrics (LM) play a crucial role in fields such as urban planning, ecology, and environmental research, providing insights into the ecological and functional dynamics of ecosystems. However, in dynamic systems, generating thematic maps for LM analysis poses challenges due to the substantial data volume required and issues such as cloud cover interruptions. The aim of this study was to compare the accuracy of land cover maps produced by three temporal aggregation methods: median reflectance, maximum normalised difference vegetation index (NDVI), and a two-date image stack using Sentinel-2 (S2) and then to analyse their implications for LM calculation.
View Article and Find Full Text PDFGigascience
January 2025
INRAE, Université de Bordeaux, F-33610 Cestas, France.
Background: Descriptive metadata are vital for reporting, discovering, leveraging, and mobilizing research datasets. However, resolving metadata issues as part of a data management plan can be complex for data producers. To organize and document data, various descriptive metadata must be created.
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