Climate Suitability Matching for Urban Landscaping Tree Species Based on the Analysis of Big Data
Tree species plays an important role in urban landscape construction and it is a powerful tool for mitigating the impacts of climate change.Taking Magnolia genus as an example,species distribution models were constructed based on the large datasets on species distribution and climate.The results showed as follows:1)54 Magnolia species had significant interspecific differences in climate suitability and occupied specific climate niches under the tradeoff between moisture and heat conditions;2)Fourteen,ten and six species with potential drought,heat and cold tolerance were predicted of 54 Magnolia species,respectively;3)Taking three representative cities in North China,Shenyang,Beijing and Xi'an,as examples,climate suitability matching between tree species and cities was carried out.It is proved that water condition was the key factor limiting the distribution of Magnolia in warm and middle temperate zones of China.Meanwhile,a series of Magnolia species with the potential of spreading planting were identified.The data analysis method used in this study provides theoretical guidance for the selection of urban landscaping tree species under different climate conditions,which can be applied to the rapid screening of woody flora in China and has a long-term application prospect in plant introduction and ex situ protection.
landscape architectureurban landscapingtree species selectionclimatic suitabilitybig data analyticsMagnolia
NETL
NSTL
万方数据
