Abstract This year marks the 50th anniversary of Monte B. Lloyd's “Mean Crowding” (1967) paper, in which he introduced a metric that accounts for an individual's experience of conspecific density. Mean crowding allows ecologists to measure the degree of spatial aggregation of individuals in a manner relevant to intraspecific competition for resources. We take the concept of mean crowding a step beyond its most common usage and that it has a mathematical relationship to many of the most important concepts in ecology and evolutionary biology. Mean crowding, a first-order approximation of the degree of nonrandomness in a distribution, can function as a powerful heuristic that can unify concepts across disciplines in a more general way that Lloyd originally envisioned.
%0 Journal Article
%1 j50year
%A J., Wade Michael
%A L., Fitzpatrick Courtney
%A M., Lively Curtis
%D 2018
%J Journal of Animal Ecology
%K ecology patchiness_metrics patchy_drift spatial_statistics
%N 0
%R 10.1111/1365-2656.12854
%T 50-year anniversary of Lloyd's ``mean crowding'': Ideas on patchy distributions
%U https://besjournals.onlinelibrary.wiley.com/doi/abs/10.1111/1365-2656.12854
%V 0
%X Abstract This year marks the 50th anniversary of Monte B. Lloyd's “Mean Crowding” (1967) paper, in which he introduced a metric that accounts for an individual's experience of conspecific density. Mean crowding allows ecologists to measure the degree of spatial aggregation of individuals in a manner relevant to intraspecific competition for resources. We take the concept of mean crowding a step beyond its most common usage and that it has a mathematical relationship to many of the most important concepts in ecology and evolutionary biology. Mean crowding, a first-order approximation of the degree of nonrandomness in a distribution, can function as a powerful heuristic that can unify concepts across disciplines in a more general way that Lloyd originally envisioned.
@article{j50year,
abstract = {Abstract This year marks the 50th anniversary of Monte B. Lloyd's “Mean Crowding” (1967) paper, in which he introduced a metric that accounts for an individual's experience of conspecific density. Mean crowding allows ecologists to measure the degree of spatial aggregation of individuals in a manner relevant to intraspecific competition for resources. We take the concept of mean crowding a step beyond its most common usage and that it has a mathematical relationship to many of the most important concepts in ecology and evolutionary biology. Mean crowding, a first-order approximation of the degree of nonrandomness in a distribution, can function as a powerful heuristic that can unify concepts across disciplines in a more general way that Lloyd originally envisioned.},
added-at = {2018-07-03T22:34:07.000+0200},
author = {J., Wade Michael and L., Fitzpatrick Courtney and M., Lively Curtis},
biburl = {https://www.bibsonomy.org/bibtex/2ac776c05ae37c29e6b40a5f83cffeaa6/peter.ralph},
doi = {10.1111/1365-2656.12854},
eprint = {https://besjournals.onlinelibrary.wiley.com/doi/pdf/10.1111/1365-2656.12854},
interhash = {af251ffaf88cd69b99981594f350b7a8},
intrahash = {ac776c05ae37c29e6b40a5f83cffeaa6},
journal = {Journal of Animal Ecology},
keywords = {ecology patchiness_metrics patchy_drift spatial_statistics},
number = 0,
timestamp = {2018-07-03T22:34:07.000+0200},
title = {50-year anniversary of {Lloyd}'s ``mean crowding'': Ideas on patchy distributions},
url = {https://besjournals.onlinelibrary.wiley.com/doi/abs/10.1111/1365-2656.12854},
volume = 0,
year = 2018
}