TY - JOUR
T1 - Density-dependent interspecific interactions and the complexity–stability relationship
AU - Kawatsu, Kazutaka
AU - Kondoh, Michio
N1 - Funding Information:
This work was supported by JST CREST Grant Number JPMJCR13A2, Japan and JSPS (the Japanese Society for the Promotion of Science) KAKENHI grant numbers 16H04846 for both authors, 16K18625 for K.K. and 15K14610 for M.K. K.K. was also supported by a Research Fellowship for Young Scientists from JSPS.
Publisher Copyright:
© 2018 The Author(s) Published by the Royal Society. All rights reserved.
PY - 2018/5/16
Y1 - 2018/5/16
N2 - Ever since May theorized that communities with larger numbers of species or interspecific interactions are inherently unstable, the mechanism allowing for the stable existence of complex communities in nature has been a central question in ecology. The main efforts to answer this question have sought to identify non-random features of ecological systems that can reverse a negative complexity–stability relationship into a positive one, but are far from successful, especially in their generality. Here, using the traditional community matrix analysis, we show that variation in the density dependence of interspecific interactions, which should be ubiquitous in nature, can dramatically affect the complexity–stability relationship. More specifically, we reveal that a positive complexity–stability relationship arises when harmful interspecific effects have larger density dependence than beneficial ones, regardless of the signs (i.e. positive or negative) of their dependence. Furthermore, numerical simulations demonstrated the synergistic stabilizing effect of interaction type diversity and density-dependence variation. Thus, this concept of density-dependence variation advances our understanding of the complexity–stability relationship in the real world.
AB - Ever since May theorized that communities with larger numbers of species or interspecific interactions are inherently unstable, the mechanism allowing for the stable existence of complex communities in nature has been a central question in ecology. The main efforts to answer this question have sought to identify non-random features of ecological systems that can reverse a negative complexity–stability relationship into a positive one, but are far from successful, especially in their generality. Here, using the traditional community matrix analysis, we show that variation in the density dependence of interspecific interactions, which should be ubiquitous in nature, can dramatically affect the complexity–stability relationship. More specifically, we reveal that a positive complexity–stability relationship arises when harmful interspecific effects have larger density dependence than beneficial ones, regardless of the signs (i.e. positive or negative) of their dependence. Furthermore, numerical simulations demonstrated the synergistic stabilizing effect of interaction type diversity and density-dependence variation. Thus, this concept of density-dependence variation advances our understanding of the complexity–stability relationship in the real world.
KW - Coexistence
KW - Competition
KW - Food-web
KW - Functional response
KW - Interaction-type diversity
KW - Mutualism
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U2 - 10.1098/rspb.2018.0698
DO - 10.1098/rspb.2018.0698
M3 - Article
C2 - 29794052
AN - SCOPUS:85047509618
SN - 0962-8452
VL - 285
JO - Proceedings of the Royal Society B: Biological Sciences
JF - Proceedings of the Royal Society B: Biological Sciences
IS - 1879
M1 - 20180698
ER -