scholarly journals Measurement of Biodiversity (MoB): A method to separate the scale‐dependent effects of species abundance distribution, density, and aggregation on diversity change

2018 ◽  
Vol 10 (2) ◽  
pp. 258-269 ◽  
Author(s):  
Daniel J. McGlinn ◽  
Xiao Xiao ◽  
Felix May ◽  
Nicholas J. Gotelli ◽  
Thore Engel ◽  
...  
2010 ◽  
Vol 16 ◽  
pp. 117-141 ◽  
Author(s):  
S. Kathleen Lyons ◽  
Felisa A. Smith

Macroecology is a rapidly growing sub-discipline within ecology that is concerned with characterizing statistical patterns of species' abundance, distribution and diversity at spatial and temporal scales typically ignored by traditional ecology. Both macroecology and paleoecology are concerned with answering similar questions (e.g., understanding the factors that influence geographic ranges, or the way that species assemble into communities). As such, macroecological methods easily lend themselves to many paleoecological questions. Moreover, it is possible to estimate the variables of interest to macroecologists (e.g., body size, geographic range size, abundance, diversity) using fossil data. Here we describe the measurement and estimation of the variables used in macroecological studies and potential biases introduced by using fossil data. Next we describe the methods used to analyze macroecological patterns and briefly discuss the current understanding of these patterns. This chapter is by no means an exhaustive review of macroecology and its methods. Instead, it is an introduction to macroecology that we hope will spur innovation in the application of macroecology to the study of the fossil record.


2019 ◽  
Vol 32 (1) ◽  
pp. 103-117
Author(s):  
Yang Wang ◽  
Huoming Zhou ◽  
Jingyong Cai ◽  
Congwen Song ◽  
Linzhao Shi

Taxon ◽  
2010 ◽  
Vol 59 (2) ◽  
pp. 592-597 ◽  
Author(s):  
Padmattie Haripersaud ◽  
Hans ter Steege ◽  
Jean-Jacques de Granville ◽  
Hervé Chevillotte ◽  
Michel Hoff

Oikos ◽  
2006 ◽  
Vol 115 (1) ◽  
pp. 81-88 ◽  
Author(s):  
Yuxin Zhang ◽  
Keming Ma ◽  
Madhur Anand ◽  
Bojie Fu

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