Prediction of the Potential Distribution of the Endangered Species Meconopsis punicea Maxim under Future Climate Change Based on Four Species Distribution Models

Plants, Journal Year: 2023, Volume and Issue: 12(6), P. 1376 - 1376

Published: March 20, 2023

Climate change increases the extinction risk of species, and studying impact climate on endangered species is great significance to biodiversity conservation. In this study, plant Meconopsis punicea Maxim (M. punicea) was selected as research object. Four distribution models (SDMs): generalized linear model, boosted regression tree random forest flexible discriminant analysis were applied predict potential M. under current future climates scenarios. Among them, two emission scenarios sharing socio-economic pathways (SSPs; i.e., SSP2-4.5 SSP5-8.5) global circulation (GCMs) considered for conditions. Our results showed that temperature seasonality, mean coldest quarter, precipitation seasonality warmest quarter most important factors shaping punicea. The prediction four SDMs consistently indicated area concentrated between 29.02° N-39.06° N 91.40° E-105.89° E. Under change, will expand from southeast northwest, expansion SSP5-8.5 would be wider than SSP2-4.5. addition, there significant differences in predicted by different SDMs, with slight caused GCMs study suggests using agreement basis developing conservation strategies improve reliability.

Language: Английский

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Transcriptomic and Metabolomic Reprogramming to Explore the High-Altitude Adaptation of Medicinal Plants: A Review

Journal of Plant Growth Regulation, Journal Year: 2023, Volume and Issue: 42(12), P. 7315 - 7329

Published: May 13, 2023

Language: Английский

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Not the expected poleward migration: Impact of climate change scenarios on the distribution of two endemic evergreen broad-leaved Quercus species in China

The Science of The Total Environment, Journal Year: 2023, Volume and Issue: 889, P. 164273 - 164273

Published: May 18, 2023

Language: Английский

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TERN, Australia’s land observatory: addressing the global challenge of forecasting ecosystem responses to climate variability and change

Environmental Research Letters, Journal Year: 2019, Volume and Issue: 14(9), P. 095004 - 095004

Published: July 19, 2019

The global challenge of understanding and forecasting ecosystem responses to climate extremes change is addressed in this review research enabled through environmental infrastructure (RI) provided by Australia's Terrestrial Ecosystem Research Network (TERN). Two primary climatic drivers structure function Australia are fire aridity, which Australian flora fauna have shown marked adaptability. vegetation shows resilience flooding rains, droughts heatwaves such that variability productivity has a tangible effect on the carbon cycle. Nonetheless, ecosystems could be vulnerable projected (e.g. increasing vapour pressure deficit). Refugia also change, with conditions these areas already near tipping point for community composition. Ensuring genetic diversity during directional aridity) requires proactive approaches conservation restoration projects. To address challenges, TERN provides RI at three scales observation: (i) monitoring using remote sensing techniques landscape continental scale; (ii) spatially extensive network plots; (iii) intensely measured sites collecting detailed data processes. Through partnerships international RIs, enables addresses first steps toward ecosystem–climate interactions.

Language: Английский

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Local maladaptation in a foundation tree species: Implications for restoration

Biological Conservation, Journal Year: 2016, Volume and Issue: 203, P. 226 - 232

Published: Oct. 7, 2016

Language: Английский

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