Predicting the potential geographical distribution of Ageratina adenophora in China using equilibrium occurrence data and ensemble model

نویسندگان

چکیده

Invasive alien plants (IAPs) pose a significant threat to the ecological environment and agricultural production in China. Ageratina adenophora is one of most aggressive IAPs China poses serious socioeconomic threats. Estimating distribution pattern A. can provide baseline data for preventing damage by this weed. In present study, based on equilibrium occurrence related environmental variables, we used an ensemble model predict under climate change. Our findings indicated that true skill statistic (TSS), area receiver operating characteristic (ROC) curve (AUC), Cohen’s Kappa (KAPPA) values were 0.925, 0.993, 0.936, respectively. The prediction results more accurate than those single models. Temperature variables had impact potential geographical (PGD) total, high, moderate suitability habitat areas 153.82 × 10 4 , 92.13 21.04 km 2 respectively, accounting 16.02, 9.60, 2.19% Chinese mainland area, PGD current mainly located southwestern southeastern China, which are tropical subtropical zone. high-suitability decreased future scenarios, changing moderately suitable habitats Southwest currently saturated will spread change future. More attention should be paid early warning monitoring prevent its further spread.

برای دانلود باید عضویت طلایی داشته باشید

برای دانلود متن کامل این مقاله و بیش از 32 میلیون مقاله دیگر ابتدا ثبت نام کنید

اگر عضو سایت هستید لطفا وارد حساب کاربری خود شوید

منابع مشابه

Bioactive quinic acid derivatives from Ageratina adenophora.

A novel quinic acid derivative, 5-O-trans-o-coumaroylquinic acid methyl ester (1), together with three known ones, chlorogenic acid methyl ester (2), macranthoin F (3) and macranthoin G (4), were isolated from the aerial parts of the invasive plant Ageratina adenophora (Spreng.). The structure of new compound 1 was elucidated on the basis of extensive spectroscopic analysis, including 1D- and 2...

متن کامل

the use of appropriate madm model for ranking the vendors of mci equipments using fuzzy approach

abstract nowadays, the science of decision making has been paid to more attention due to the complexity of the problems of suppliers selection. as known, one of the efficient tools in economic and human resources development is the extension of communication networks in developing countries. so, the proper selection of suppliers of tc equipments is of concern very much. in this study, a ...

15 صفحه اول

the clustering and classification data mining techniques in insurance fraud detection:the case of iranian car insurance

با توجه به گسترش روز افزون تقلب در حوزه بیمه به خصوص در بخش بیمه اتومبیل و تبعات منفی آن برای شرکت های بیمه، به کارگیری روش های مناسب و کارآمد به منظور شناسایی و کشف تقلب در این حوزه امری ضروری است. درک الگوی موجود در داده های مربوط به مطالبات گزارش شده گذشته می تواند در کشف واقعی یا غیرواقعی بودن ادعای خسارت، مفید باشد. یکی از متداول ترین و پرکاربردترین راه های کشف الگوی داده ها استفاده از ر...

Two New Thymol Derivatives from the Roots of Ageratina adenophora.

Two new thymol derivatives, 7,9-diisobutyryloxy-8-ethoxythymol (1) and 7-acetoxy-8-methoxy-9-isobutyryloxythymol (2), were isolated from fresh roots of Ageratina adenophora, together with four known compounds, 7,9-di-isobutyryloxy-8-methoxythymol (3), 9-oxoageraphorone (4), (-)-isochaminic acid (5) and (1α,6α)-10-hydroxycar-3-ene-2-one (6). Their structures were established on the basis of deta...

متن کامل

data mining rules and classification methods in insurance: the case of collision insurance

assigning premium to the insurance contract in iran mostly has based on some old rules have been authorized by government, in such a situation predicting premium by analyzing database and it’s characteristics will be definitely such a big mistake. therefore the most beneficial information one can gathered from these data is the amount of loss happens during one contract to predicting insurance ...

15 صفحه اول

ذخیره در منابع من


  با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید

ژورنال

عنوان ژورنال: Frontiers in Ecology and Evolution

سال: 2022

ISSN: ['2296-701X']

DOI: https://doi.org/10.3389/fevo.2022.973371