Systematics, Paleontology, and the Modern Synthesis

Author(s):  
Niles Eldredge

Ernst Mayr, a systematist and founding father of the synthetic theory, has recently (Mayr 1980b) assessed the role played by the field of systematics in general in the emergence of the synthesis. Mayr (1980a, 1980b; 1982, chapter 12) actively opposes the conventional supposition that the synthesis is the product of three phases of development: (1) resolution of early difficulties raised in the early days of genetics, largely through the work of Fisher, Haldane, and Wright; (2) the publication of Dobzhansky’s Genetics and the Origin of Species (1937a), which fused concepts of the genetics of populations with the mainstream of Darwinian thought; and (3) the demonstration by systematists (e.g., Mayr 1942), paleontologists (e.g., Simpson 1944), and practitioners of various other biological disciplines that the data of their respective fields are consistent with genetic principles. (See, for example, Shapere 1980, p. 398, for such a view of the historical development of the synthesis.) It is Mayr’s view (e.g., 1980a, 1980b) that these various nongenetics disciplines played a more vital, vigorous and active role than such “me-too-ism” implied by phase 3 above in the conventional view. There is, no doubt, something to be said for this claim, though the historical question per se is not germane to the present inquiry. But Mayr’s (1980b, pp. 127 ff) list of the contributions he feels systematists made directly to the new synthesis is relevant as it suggests a guide to our understanding of Mayr’s own important contribution—Systematics and the Origin of Species (1942, reprinted in 1982). Mayr lists the following contributions of systematics to the emerging synthesis: (1) “population thinking,” (2) “the immense variability of populations,” (3) “the gradualness of evolution,” (4) “the genetic nature of gradual evolution,” (5) “geographic speciation,” (6) “the adaptive nature of observed variation,” (7) “belief in the importance of natural selection,” and (8) the notion (shared with paleontologists) that “macroevolutionary phenomena” are interpretable in terms of “gradual evolution” (i.e., as opposed to saltational models—Mayr 1980b, p. 134). All these topics, and more, are well developed in the pages of Mayr’s Systematics and the Origin of Species.

2018 ◽  
Vol 03 (01) ◽  
pp. 1850005 ◽  
Author(s):  
Yang Bai

In a conventional view, customers just purchase the goods or services created by companies. But the role of customers has changed. Now customers are seeking to practice their influence in every part of the business system as a co-creator. What is co-creation? Is it like customization? The answer is yes and no. The difference between co-creation and customization depends on the degree of involvement of the customer in the business. Generally, the customer plays a much more active role in co-creation than customization. Co-creation refers to almost every part of a business, but customization is restricted to the end stage of production. Co-creation can happen in the process of sales support, which can ultimately improve sales performance. This paper illustrates the relationships among co-creation, sales support and sales performance, and designs an experiment to test.


SAGE Open ◽  
2019 ◽  
Vol 9 (1) ◽  
pp. 215824401983746
Author(s):  
Trino Baptista ◽  
Elis Aldana ◽  
Charles I. Abramson

Arthur Schopenhauer (1788-1860) was deeply influenced by Plato and conceived each species as an Idea, whose shape is essentially and permanently predetermined. He rejected Lamarck’s proposal of organ’s use/disuse as a source of evolution, but he was close to the orthogenetic movement that developed after his death. The philosopher did not conceive biological individual variability as a source for evolution, mathematical population analysis, and gradual evolution; he even imagined an ultra-rapid saltatory model in “higher forms.” Moreover, he conceived a metaphysically based coupling among all phenomena which resembles the contemporary model of natural drift of evolution. Hence, Schopenhauer did not strictly anticipate Darwin’s model of natural selection. However, he expressed in his own words competition and struggle for life. The philosopher thus anticipated more the orthogenesis and natural drift and less the Darwinian’s mechanisms of evolution than what is generally alleged. His work is a valuable philosophical source in the contemporary search for a new synthesis in evolutionary thought.


2009 ◽  
Vol 1229 ◽  
Author(s):  
Flemming JH Ehlers ◽  
Randi Holmestad

AbstractA dramatic gain in the knowledge of precipitate formation, composition, and evolution in alloys has been achieved in the recent years with improvement of transmission electron microscopy techniques for direct structural imaging [1]. A detailed understanding of the microstructure is often essential for control and manipulation of materials properties: an important example for metals is the significant hardening of Al alloys by particular precipitates from a sequence strongly dependent on alloying element concentration and the treatment of the material [2]. The wealth of experimental information provides a playground for theory in the context of elucidating precipitate growth mechanisms and influence on the host material. A head-on approach to atomistic modelling of these phenomena using an ab initio based scheme is conventionally deemed highly desired but impractical. The basic argument is that the system of any reasonably sized (i.e. realistic) and well isolated microstructure will simply contain too many atoms. We will challenge this conventional view: it is argued that most of the atoms of the above mentioned system do not play an active role in the growth discussion, hence need not be included in the modelling. Subsequently, a model system is presented which offers a highly accurate description of the interface between the host lattice and a microstructure of an arbitrary size, for the case where this interface is coherent and compositionally abrupt. When used in conjunction with other approaches already available, this model system offers a direct approach to atomistic ab initio studies of microstructure growth. A general introduction to the modelling scheme will be presented, with the particular application being the main hardening precipitate β'' in the Al-Mg-Si alloy. [1] K. W. Urban, Nature Mater. 8, 260 (2009). [2] C. D. Marioara, S. J. Andersen, H. W. Zandbergen, and R. Holmestad, Metal. Mater. Trans. A 36A, 691 (2005).


Evolution ◽  
1994 ◽  
Vol 48 (1) ◽  
pp. 19 ◽  
Author(s):  
Jerry A. Coyne
Keyword(s):  

Evolution ◽  
1994 ◽  
Vol 48 (1) ◽  
pp. 19-30 ◽  
Author(s):  
Jerry A. Coyne
Keyword(s):  

2018 ◽  
Vol 22 (1) ◽  
pp. 76-91 ◽  
Author(s):  
Yu-Qian Zhu ◽  
Holly Chiu ◽  
Eduardo Jorge Infante Holguin-Veras

Purpose This study aims to debunk the myth that knowledge sharing will harm one’s competiveness, and argues, from the learning theory perspective, that sharing knowledge benefits both knowledge sharers and knowledge recipients. Design/methodology/approach Survey data were collected from 233 respondents across a variety of industries in Taiwan and the data were analyzed using Partial Least Squares analysis. Findings The results showed that both knowledge sharers and knowledge recipients benefitted from knowledge sharing, developing deeper and wider knowledge, leading to better performance, and that the benefits were greater for the knowledge sharers. Practical Implications It is suggested that managers advocate knowledge sharing as a learning activity for both knowledge sharers and knowledge recipients. Regular knowledge sharing activities are advised, with knowledge sharers engaged fully in active learning, and knowledge recipients encouraged to take a more active role, by not only listening but also starting to share themselves. Originality/value This research adds to the knowledge management literature by investigating the results of knowledge sharing for both the sharer and recipient through a learning theory lens. It challenges the conventional view that employees will be worse off if they share knowledge, and debunks it with theoretical argument and empirical evidence. It offers insights into the impact on knowledge breadth and depth at the individual level, which was previously only studied at the organizational level.


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