ABSTRACT
AIM: Invasive alien species (IAS) threaten ecosystems and humans worldwide, and future climate change may accelerate the expansion of IAS. Predicting the suitable areas of IAS can prevent their further expansion. Ageratina adenophora is an invasive weed over 30 countries in tropical and subtropical regions. However, the potential suitable areas of A. adenophora remain unclear along with its response to climate change. This study explored and mapped the current and future potential suitable areas of Ageratina adenophora. LOCATION: Global. TAXA: Asteraceae A. adenophora (Spreng.) R.M.King & H.Rob. Commonly known as Crofton weed. METHODS: Based on A. adenophora occurrence data and climate data, we predicted its suitable areas of this weed under current and future (four RCPs in 2050 and 2070) by MaxEnt model. We used ArcGIS 10.4 to explore the potential suitable area distribution characteristics of this weed and the "ecospat" package in R to analyze its altitudinal distribution changes. RESULTS: The area under the curve (AUC) value (>0.9) and true skill statistics (TSS) value (>0.8) indicated excelled model performance. Among environment factors, mean temperature of coldest quarter contributed most to the model. Globally, the suitable areas for A. adenophora invasion decreased under climate change scenarios, although regional increases were observed, including in six biodiversity hotspot regions. The potential suitable areas of A. adenophora under climate change would expand in regions with higher elevation (3,000-3,500 m). MAIN CONCLUSIONS: Mean temperature of coldest quarter was the most important variable influencing the potential suitable area of A. Adenophora. Under the background of a warming climate, the potential suitable area of A. adenophora will shrink globally but increase in six biodiversity hotspot regions. The potential suitable area of A. adenophora would expand at higher elevation (3,000-3,500 m) under climate change. Mountain ecosystems are of special concern as they are rich in biodiversity and sensitive to climate change, and increasing human activities provide more opportunities for IAS invasion.
ABSTRACT
Objective:To translate the English version of the health enhancement lifestyle profile-screener into Chinese and assess its reliability and validity based on classical test theory(CTT) and Rasch model among the elderly.Methods:A total of 447 older adults from rural and urban areas in Sichuan Province from December 2020 to March 2021 were selected by convenience sampling, and were surveyed with the revised Chinese version of health enhancement lifestyle profile-screener(HELP-CS). Rasch and CTT-based approaches were used to evaluate the unidimensionality data-model fit, internal consistency, test-retest reliability, criterion validity and discriminant validity of the questionnaire.Results:According to the results of the initial test questionnaire, the ninth question was deleted, and 14 items were retained to form a formal questionnaire. The formal test results showed that HELP-CS met the unidimensionality, and the residual mean square error for item 2 and 14 were within the acceptable range, which were 1.49 and 1.41. Item 10 and 12 had the highest logits, which were 1.87 and 1.91 respectively. There were gender differences in some topics. The Cronbach′s α of the scale was 0.719, and the test-retest reliability was 0.704 after two months. The criterion correlations with HPLP-CE were 0.581.Conclusion:HELP-CS has good adaptability, reliability and validity in the elderly, and can be used as a quick and effective screening tool in the study of the lifestyle of the elderly.
