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Ukrainian Journal of Ecology
Ukrainian Journal ofEcology, 2024,14(2), 15-17, doi: 10.15421/2024_544
MINI REVIEW
Estimating the future Leucobryum aduncum in response to
climate change
Lara Collart
Department of Biodiversity, Kasetsart University, Bangkok 10900, Thailand Corresponding author E-mail: [email protected] Received: 04 March, 2024, Manuscript No: UJE-24-131663; Editor assigned: 06 March, 2024, PreQC No: P-131663; Reviewed: 18 March, 2024, QC No: Q-131663; Revised: 23 March, 2024, Manuscript No: R-
131663; Published: 30 March, 2024
Climate change poses a significant threat to biodiversity worldwide, affecting the distribution and abundance of various species, including mosses. Leucobryum aduncum, commonly known as hooked schist moss, is a widespread moss species found in various habitats across the globe. However, its distribution may be altered due to changing climatic conditions. In this article, we explore the potential impacts of climate change on the distribution of Leucobryum aduncum and discuss predictive models that can help us understand its future distribution patterns. Leucobryum aduncum is a member of the Leucobryaceae family and is characterized by its hooked leaves, which give it a distinctive appearance. This species is commonly found in moist habitats such as forests, bogs and wetlands, where it plays a crucial role in ecosystem processes such as nutrient cycling and soil stabilization. Its ability to colonize a wide range of habitats makes it an important component of many terrestrial ecosystems. Keywords: Leucobryum aduncum, Climate change, Biodiversity, Ecosystems.
Introduction
Global biodiversity is seriously threatened by climate change, which has an impact on the abundance and distribution of many species, including mosses. Known by most as hooked schist moss, Leucobryum aduncum is a common moss species that grows in a variety of settings all over the world. However, shifting environmental circumstances could change its distribution (Wang ShiQiang, WS., et al., 2015). This article discusses prediction models that can help us comprehend Leucobryum aduncum's future distribution patterns and examines the possible effects of climate change on the species' range. Leucobryum aduncum is a member of the Leucobryaceae family and is distinguished by the way its leaves are hooked. This species is frequently found in damp environments including marshes, bogs and woodlands, where it is essential to ecosystem functions (Frahm, JP., et al., 1990).
Literature Review
Climate change is altering temperature and precipitation patterns globally, leading to shifts in habitat suitability for many plant species, including mosses. Changes in temperature and moisture regimes can directly impact moss physiology, growth rates and reproductive success. Additionally, altered environmental conditions can affect interactions with other organisms, such as competition with vascular plants and interactions with microorganisms (Kostka, JE., et al. 2016). To predict the future distribution of Leucobryum aduncum under climate change, researchers utilize Species Distribution Models (SDMs). These models integrate environmental variables such as temperature, precipitation and soil characteristics to predict suitable habitat for a given species. SDMs can be based on statistical relationships between species occurrences and environmental conditions or employ mechanistic approaches that incorporate physiological constraints of the species (Song Liang, SL., et al., 2015).
Discussion
Using available occurrence data for Leucobryum aduncum and climate projections for the future, researchers can develop SDMs to forecast changes in its distribution. By analyzing how environmental variables influence the current distribution of the species, these models can extrapolate potential range shifts under different climate change scenarios (Sandhi, A., et al., 2018). For example, a study might use climate projections for the year 2050 to predict the distribution of Leucobryum aduncum under various greenhouse gas emissions scenarios. Predicting the future distribution of species under climate change involves inherent uncertainties. Factors such as species dispersal ability, adaptation potential and interactions with other species can influence how accurately models predict future distributions. Additionally, uncertainties in climate projections and limitations of available data can affect the reliability of SDMs. Therefore, it is essential to acknowledge these uncertainties when interpreting model results and making management decisions (Aranda, SC., et al., 2014).
Understanding how climate change will impact the distribution of Leucobryum aduncum is critical for conservation and management efforts. If suitable habitat for the species shifts or contracts, conservation strategies may need to be adjusted to ensure its long-term survival. This could involve targeted habitat restoration, monitoring of populations and incorporation of climate change considerations into land-use planning. By proactively addressing the impacts of climate change on moss species like Leucobryum aduncum, we can help mitigate biodiversity loss and preserve ecosystem functioning.
Conclusion
Climate change is altering environmental conditions worldwide, with significant implications for species distributions and ecosystem dynamics. Mosses, such as Leucobryum aduncum, are not exempt from these impacts and understanding how they will respond to changing climatic conditions is essential for effective conservation and management. By employing predictive modeling techniques, researchers can forecast potential shifts in species distributions and inform proactive conservation strategies. However, uncertainties remain, highlighting the need for ongoing research and adaptive management approaches to address the challenges posed by climate change to moss biodiversity.
Acknowledgement
None.
Conflict of Interest
The authors declare no conflict of interest.
References
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Citation:
Collart, L. (2024). Estimating the future Leucobryum aduncum in response to climate change. Ukrainian Journal of Ecology. 14:1517.
LMJi^^l This work is licensed under a Creative Commons Attribution 40 License
