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Neighborhood effects on the tannin-related foraging decisions of two rodent species under semi-natural conditions

Integrative Zoology 2020年第6期15卷 569-577页

作者： Zhenyu WANG Bo WANG Chuan YAN Shengdong YUAN Lin CAO Institute of Ecology and Geobotany School of Ecology and Environmental SciencesYunnan UniversityKunmingChina Key Laboratory of Poyang Lake Wetland and Watershed Research(Ministry of Education) College of Life SciencesJiangxi Normal UniversityNanchangChina Center for Integrative Conservation Xishuangbanna Tropical Botanical GardenChinese Academy of Sciences(CAS)MenglaYunnanChina State Key Laboratory of Integrated Management of Pest Insects and Rodents in Agriculture Institute of ZoologyCASBeijingChina

Neighborhood effects on seed predation and dispersal processes are usually seed-characteristic-dependent;however,how seeds with certain characteristics affect the foraging behavior of rodents in relation to other seeds nearby is *** large differences in seed characteristics between neighboring seeds may lead to significant differences in rodent foraging preferences,we hypothesized that neighborhood effects were more likely to be detected when paired seeds differed in seed *** investigated the foraging decisions of two rodent species,the red spiny rat Maxomys surifer and the Chinese white-bellied rat Niviventer confucianus,in semi-natural enclosures by presenting them with artificial seeds containing different levels of tannin(0,3%,and 6%tannin).Both rodents showed similar preferences and preferentially consumed high-tannin seeds(6%tannin)and scatter hoarded low-tannin seeds(0 tannin).The scatter hoarding of low-tannin(0 tannin)and high-tannin(6%tannin)seeds was significantly higher when these seeds were neighboring higher-tannin seeds than when they neighbored lowertannin seeds,whereas the scatter hoarding of intermediate-tannin seeds(3%tannin)varied little when they had different ***-tannin-seed(6%tannin)scatter hoarding was lowest when they neighbored low-tannin seeds(0 tannin),while low-tannin-seed(0 tannin)scatter hoarding was highest when they neighbored high-tannin seeds(6%tannin).Therefore,the seeds that the rodents scatter hoarded were next to(neighbored)seeds that they preferred to eat immediately,and vice *** findings suggest that seed neighborhood effects affect rodent foraging behavior and the relationship between plants and rodents,and may have a profound effect on the regeneration and spatial structure of plant communities.

关键词： foraging behavior neighborhood effect scatter hoarding tannin content

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Rapid determination of tannin in Danshen and Guanxinning injections using UV spectrophotometry for quality control

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Journal of Innovative Optical Health Sciences 2018年第6期11卷 33-42页

作者： Hongxia Huang Yuanyuan Lv Xiaoyi Sun Shuangshuang Fu Xuefang Lou Zengmei Liu School of Medicine Zhejiang University City College Hangzhou 310015 P.R.China The No.Four People's Hospital of YuYao Jinhua 315000 P.R.China

A technique for the determination of tannin content in traditional Chinese medicine injections(TCMI)was developed based on ultraviolet(UV)*** were used to construct a mathematical model of absorption spectrum and tannin reference content of Danshen and Guanxinning injections,and the model was veried and *** results showed that the established UV-based spectral partial least squares regression(PLS)tannin content model performed well with a correlation coefficient(r)of 0.952,root mean square error of calibration(RMSEC)of 0.476g/ml,root mean square error of validation(RMSEV)of 1.171g/ml,and root mean square error of prediction(RMSEP)of 0.465g/*** recognition models using linear discriminant analysis(LDA)and k nearest neighbor(k-NN)classiers based on UV spectrum could successfully classify different types of injections and different *** established method to measure tannin content based on UV spectroscopy is simple,rapid and reliable and provides technical support for quality control of tannin in Chinese medicine injections.

关键词： Ultraviolet spectrum tannin content traditional Chinese medicine injection pattern recognition model partial least squares regression

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