Search citation statements
Paper Sections
Citation Types
Year Published
Publication Types
Relationship
Authors
Journals
Climate change significantly impacted on the survival, development, distribution, and abundance of living organisms. The Chinese serow Capricornis milneedwardsii, known as the “four unlike,” is a Class II nationally protected species in China. In this study, we predicted the geographical suitability of C. milneedwardsii under current and future climatic conditions using MaxEnt. The model simulations resulted in area under the receiver operating characteristic curve (AUC) values above 0.9 for both current and future climate scenarios, indicating the excellent performance, high accuracy, and credibility of the MaxEnt model. The results also showed that annual precipitation (Bio12), slope, elevation, and mean temperature of wettest quarter (Bio8) were the key environmental variables affecting the distribution of C. milneedwardsii, with contributions of 31.2%, 26.4%, 11%, and 10.3%, respectively. The moderately and highly suitable habitats were mainly located in the moist area of China, with a total area of 34.56 × 104 and 16.61 × 104 km2, respectively. Under future climate change scenarios, the areas of suitability of C. milneedwardsii showed an increasing trend. The geometric center of the total suitable habitats of C. milneedwardsii would show the trend of northwest expansion and southeast contraction. These findings could provide a theoretical reference for the protection of C. milneedwardsii in the future.
Climate change significantly impacted on the survival, development, distribution, and abundance of living organisms. The Chinese serow Capricornis milneedwardsii, known as the “four unlike,” is a Class II nationally protected species in China. In this study, we predicted the geographical suitability of C. milneedwardsii under current and future climatic conditions using MaxEnt. The model simulations resulted in area under the receiver operating characteristic curve (AUC) values above 0.9 for both current and future climate scenarios, indicating the excellent performance, high accuracy, and credibility of the MaxEnt model. The results also showed that annual precipitation (Bio12), slope, elevation, and mean temperature of wettest quarter (Bio8) were the key environmental variables affecting the distribution of C. milneedwardsii, with contributions of 31.2%, 26.4%, 11%, and 10.3%, respectively. The moderately and highly suitable habitats were mainly located in the moist area of China, with a total area of 34.56 × 104 and 16.61 × 104 km2, respectively. Under future climate change scenarios, the areas of suitability of C. milneedwardsii showed an increasing trend. The geometric center of the total suitable habitats of C. milneedwardsii would show the trend of northwest expansion and southeast contraction. These findings could provide a theoretical reference for the protection of C. milneedwardsii in the future.
The mountain juniper Juniperus monticola Martinez, a decumbent alpine shrub found at elevations up to 4600 m a.s.l. on the high mountains of central Mexico, is the woody species growing at highest elevation in North America. It reaches an age close to a millenium, which probably makes it the oldest alpine shrub in the world. We conducted a dendrochronological study of this species at Pico de Orizaba volcano, the highest peak in Mexico, to analyze its dendroclimatic potential and the influence of ocean-atmospheric forcing on the interannual variability of radial growth. A ring-width chronology was developed extending from 1178 to 2016 (839 years). Climate data from a local weather station and from CRU TS version 4.01 were used to determine the climatic response of J. monticola. The species is positively correlated to the average maximum temperature of May–June ( r = 0.38, p < 0.05) and negatively to the March-April precipitation ( r = −0.44, p < 0.05) of the local weather station. Gridded drought indices (PDSI, SPEI) were used to analyze the combined effect of rising temperatures and evapotranspiration on ring-width. A significant negative response ( r = −0.354, p < 0.01) was found between the instrumental PDSI records (June, July, August) and the ring-width series; similarly, a negative correlation was obtained for the SPEI from December of the previous year to June of the current year ( r = −0.4, p < 0.01). These negative correlations suggest that higher temperatures occurring in recent decades are favoring increases in radial growth. The ring-width chronology is significantly correlated, although weakly, with the El Niño/Southern Oscillation, the Pacific Decadal Oscillation, and the Atlantic Multi-decadal Oscillation, consistent with the influence of those phenomena on PDSI and SPEI over central Mexico.
scite is a Brooklyn-based organization that helps researchers better discover and understand research articles through Smart Citations–citations that display the context of the citation and describe whether the article provides supporting or contrasting evidence. scite is used by students and researchers from around the world and is funded in part by the National Science Foundation and the National Institute on Drug Abuse of the National Institutes of Health.
customersupport@researchsolutions.com
10624 S. Eastern Ave., Ste. A-614
Henderson, NV 89052, USA
This site is protected by reCAPTCHA and the Google Privacy Policy and Terms of Service apply.
Copyright © 2025 scite LLC. All rights reserved.
Made with 💙 for researchers
Part of the Research Solutions Family.