Successional Trends on Tree Islands in the Okefenokee Swamp as Determined by Interspecific Association Analysis

1985 ◽  
Vol 113 (2) ◽  
pp. 287 ◽  
Author(s):  
Jane E. Glasser
2018 ◽  
Vol 53 ◽  
pp. 03054
Author(s):  
Ying Zhao ◽  
Hui Jin ◽  
Liya Huang ◽  
Qinghong Chen ◽  
Lijie Liu ◽  
...  

In this paper, the methods such as Clumping index, Aggregate index, CASSIE index, Diffusion coefficient C, K index in negative binomial distribution and m*-m wao regression, Taylor power law were used to analyze the spatial distribution pattern of Thuja koraiensis community. The results showed that the spatial distribution pattern of Thuja koraiensis community presented significantly aggregate distribution. Based on 2×2 contingency table, interspecific association analysis was conducted by means of Variance ratio method, χ2-test, Association coefficient, together with point correlation coefficient, The overall relevance of pure forest community where Thuja koraiensis population were distributed and scattered forest of Thuja koraiensis community both showed negative correlation. In the pure forest community, Thuja koraiensis was extremely significantly negatively correlated with Sorbus pohuashanensis(p<0.01), and positively correlated with other shrub species, but did not reach a significant level. In the scattered forest community, Thuja koraiensis was positively correlated with Euonymus rehderianus, Lonicera edulis, Rubus sachalinensis, Acer tegmentosum, and negatively correlated with other species. Studies suggest that protecting species which are positively correlated with Thuja koraiensis to form an environment conducive to the survival of specific species together has certain guiding significance for the protection and utilization of Thuja koraiensis community.


1983 ◽  
Vol 110 (1) ◽  
pp. 186 ◽  
Author(s):  
Michael J. Duever ◽  
Lawrence A. Riopelle

Palynology ◽  
1979 ◽  
Vol 3 (1) ◽  
pp. 219-226 ◽  
Author(s):  
Fredrick J. Rich ◽  
William Spackman

Author(s):  
Radovan Bačík ◽  
Mária Oleárová ◽  
Martin Rigelský

The development of the Internet and the current technologies have contributed to a significant progress in the consumer shopping process. Today, shopping decisions are more intuitive and much easier to make. E-shops, search engines, customer reviews and other similar tools reduce costs of searching for products or product information, thus boosting the habit of searching for information on the Internet - "Research Shopper Phenomenon" (Verhoef et al. 2007). According to Verhoef et al. (2015), this phenomenon leads to a phenomenon where consumers search for product information using one channel (Internet) and then make a purchase through another channel (brick-and-mortar shop). Heinrich and Thalmair (2013) refer to this effect as the "research online, purchase offline" or "ROPO" effect for short. This phenomenon can also be observed in reverse. Keywords: customer behavior, research online – purchase offline, association analysis


A comment on Zhao J, Yang Y, Huang H, Li D, Gu D, Lu X, et al. Association of ABO blood group and Covid19 susceptability. medRxiv [PREPRINT]. 2020; https://doi.org/10.1101/2020.03.11.20031096. Zeng X, Fan H, Lu D, Huang F, Meng X, Li Z, et al. Association between ABO blood group and clinical outcomes of Covid19. medRxiv[PREPRINT].2020; https://doi.org/10.1101/2020.04.15.20063107. Zietz M, Tatonetti N. Testing the association between blood type and COVID-19 infection, intubation, and death medRxiv [PREPRINT]. 2020; https://doi.org/10.1101/2020.04.08.20058073. Ellinghaus D, Degenhardt F, Bujanda L, al. e. The ABO blood group and a chromosome 3 gene cluster associate with SRAS-CoV2 respitarory failure in an Italy-Spain genome-wide association analysis. medRxiv. 2020; https://doi.org/10.1101/2020.05.31.20114991.


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