Prediction of potential suitable distribution for sweet cherry (Prunus avium) based on the MaxEnt model DOI Creative Commons
Hongqun Li, Xiao-Long Peng, Peng Jiang

et al.

PLoS ONE, Journal Year: 2024, Volume and Issue: 19(7), P. e0294098 - e0294098

Published: July 24, 2024

The sweet cherry (Prunus avium) is among deciduous fruit trees with high economic value and its planting area gradually expanding. However, little was known about accurately suitable in China. Herein, the potential distributions were modeled based on MaxEnt model under current conditions. Its performance excellent, AUCs >0.9 for training testing. key environmental factors thermal (minimum temperature of coldest month (bio06) from -14.5 to 4.5°C, mean warmest quarter (bio10) 21.0 28.0°C), followed by water factor (the annual precipitation (bio12) 500 1200 mm), indicating that it not resistant cold heat, nor drought or floods. China mainly found seven geographical regions including southwest (eastern Sichuan, northeast main urban areas Chongqing, mid-western Guizhou mid-northern Yunnan), northwest (mid-southern Shaanxi, southern Ningxia mid-southern eastern Gansu), (Coastal region Liaoning), central (most Henan, Hubei Hunan), north (Beijing, Tianjing, Shanxi), east (Shanghai, Jiangsu, Shandong, Zhejiang, northern Anhui Jiangxi) south (western Guangxi). Based statistical analysis, these fourteen provinces cities, namely, Beijing, Shanxi, Hebei, Shanghai, Guizhou, Yunnan, Liaoning development utilization while twelve higher moderate areas, Ningxia, Liaoning, Hubei, Hunan, Anhui, Jiangxi Guangxi, we should supplement appropriate irrigation winter insulation facilities etc. Additionally, also have been identified some potentially areas. These information will help avoid loss human labor, material, financial resources provide a scientific basis introduction, cultivation, management.

Language: Английский

The past, present, and future of predator–prey interactions in a warming world: Using species distribution modeling to forecast ectotherm–endotherm niche overlap DOI Creative Commons
Jessica L. Hill, Matthew Grisnik, Ryan J. Hanscom

et al.

Ecology and Evolution, Journal Year: 2024, Volume and Issue: 14(3)

Published: March 1, 2024

Climate change has the potential to disrupt species interactions across global ecosystems. Ectotherm-endotherm may be especially prone this risk due possible mismatch between in physiological response and performance. However, few studies have examined how changing temperatures might differentially impact species' niches or available suitable habitat when they very different modes of thermoregulation. An ideal system for studying interaction is predator-prey system. In study, we used ecological niche modeling characterize overlap examine biogeography past future climate conditions prairie rattlesnakes (

Language: Английский

Citations

5
Prediction of potential suitable distribution for sweet cherry (Prunus avium) based on the MaxEnt model DOI Creative Commons
Hongqun Li, Xiao-Long Peng, Peng Jiang

et al.

PLoS ONE, Journal Year: 2024, Volume and Issue: 19(7), P. e0294098 - e0294098

Published: July 24, 2024

The sweet cherry (Prunus avium) is among deciduous fruit trees with high economic value and its planting area gradually expanding. However, little was known about accurately suitable in China. Herein, the potential distributions were modeled based on MaxEnt model under current conditions. Its performance excellent, AUCs >0.9 for training testing. key environmental factors thermal (minimum temperature of coldest month (bio06) from -14.5 to 4.5°C, mean warmest quarter (bio10) 21.0 28.0°C), followed by water factor (the annual precipitation (bio12) 500 1200 mm), indicating that it not resistant cold heat, nor drought or floods. China mainly found seven geographical regions including southwest (eastern Sichuan, northeast main urban areas Chongqing, mid-western Guizhou mid-northern Yunnan), northwest (mid-southern Shaanxi, southern Ningxia mid-southern eastern Gansu), (Coastal region Liaoning), central (most Henan, Hubei Hunan), north (Beijing, Tianjing, Shanxi), east (Shanghai, Jiangsu, Shandong, Zhejiang, northern Anhui Jiangxi) south (western Guangxi). Based statistical analysis, these fourteen provinces cities, namely, Beijing, Shanxi, Hebei, Shanghai, Guizhou, Yunnan, Liaoning development utilization while twelve higher moderate areas, Ningxia, Liaoning, Hubei, Hunan, Anhui, Jiangxi Guangxi, we should supplement appropriate irrigation winter insulation facilities etc. Additionally, also have been identified some potentially areas. These information will help avoid loss human labor, material, financial resources provide a scientific basis introduction, cultivation, management.

Language: Английский

Citations

3