Semantic Scholar Open Access 2022 13 sitasi

Differential responses of Kashmir Himalayan threatened medicinal plants to anticipated climate change

Javaid M. Dad I. Rashid

Abstrak

Summary As natural and anthropogenic forcings impel anticipated climate change, their effects on biodiversity and environmental sustainability are evident. A fundamental question that is often overlooked is: which changes in climate will cause the redistribution or extinction of threatened species? Here, we mapped and modelled the current and future geographical distributions of the four threatened medicinal plants – Aconitum heterophyllum Wall. ex Royle, Fritillaria cirrhosa D.Don, Meconopsis aculeata Royle and Rheum webbianum Royle – in Kashmir Himalaya using maximum entropy (MaxEnt) modelling. Species occurrence records were collated from detailed field studies carried out between the years 2010 and 2020. Four general circulation models for Representative Concentration Pathway (RCP) 4.5 and RCP8.5 climate change scenarios were chosen for future range changes over periods around 2050 (average for 2041–2060) and 2070 (average of 2061–2080). Notable differences existed between species in their responses to predictive environmental variables of temperature and precipitation. Increase in the most suitable habitat, except for A. heterophyllum and R. webbianum, were evident across Himalayan Mountain regions, while the Pir Panjal mountain region exhibited a decrease for all four species under future climate change scenarios. This study exemplifies the idiosyncratic response of narrow-range plants to expected future climate change and highlights conservation implications.

Penulis (2)

J

Javaid M. Dad

I

I. Rashid

Format Sitasi

Dad, J.M., Rashid, I. (2022). Differential responses of Kashmir Himalayan threatened medicinal plants to anticipated climate change. https://doi.org/10.1017/S0376892922000030

Akses Cepat

Lihat di Sumber doi.org/10.1017/S0376892922000030
Informasi Jurnal
Tahun Terbit
2022
Bahasa
en
Total Sitasi
13×
Sumber Database
Semantic Scholar
DOI
10.1017/S0376892922000030
Akses
Open Access ✓