Unknown

Dataset Information

0

Inferring species interactions in tropical forests.


ABSTRACT: We present 2 distinct and independent approaches to deduce the effective interaction strengths between species and apply it to the 20 most abundant species in the long-term 50-ha plot on Barro Colorado Island, Panama. The first approach employs the principle of maximum entropy, and the second uses a stochastic birth-death model. Both approaches yield very similar answers and show that the collective effects of the pairwise interspecific interaction strengths are weak compared with the intraspecific interactions. Our approaches can be applied to other ecological communities in steady state to evaluate the extent to which interactions need to be incorporated into theoretical explanations for their structure and dynamics.

SUBMITTER: Volkov I 

PROVIDER: S-EPMC2728984 | biostudies-literature | 2009 Aug

REPOSITORIES: biostudies-literature

altmetric image

Publications

Inferring species interactions in tropical forests.

Volkov Igor I   Banavar Jayanth R JR   Hubbell Stephen P SP   Maritan Amos A  

Proceedings of the National Academy of Sciences of the United States of America 20090804 33


We present 2 distinct and independent approaches to deduce the effective interaction strengths between species and apply it to the 20 most abundant species in the long-term 50-ha plot on Barro Colorado Island, Panama. The first approach employs the principle of maximum entropy, and the second uses a stochastic birth-death model. Both approaches yield very similar answers and show that the collective effects of the pairwise interspecific interaction strengths are weak compared with the intraspeci  ...[more]

Similar Datasets

| S-EPMC2141902 | biostudies-other
| S-EPMC5647133 | biostudies-other
| S-EPMC8113502 | biostudies-literature
| S-EPMC7980381 | biostudies-literature
| S-EPMC6104997 | biostudies-literature
| S-EPMC7017775 | biostudies-literature
| S-EPMC5490239 | biostudies-literature
| S-EPMC4856898 | biostudies-literature
| S-EPMC9293027 | biostudies-literature
| S-EPMC8048392 | biostudies-literature