Structure and characteristics of the plant-frugivore bird network from the Guilin Botanical Garden.
PeerJ
; 11: e15028, 2023.
Article
en En
| MEDLINE
| ID: mdl-36945357
The interaction between plants and frugivores is crucial to ecosystem function and community diversity. However, little is known about the interaction between plants and frugivorous bird species in urban green spaces. We observed interactions between plants and frugivorous birds in the Guilin Botanical Garden for one year and determined the structure and characteristics of the interaction network. We also analyzed the impact of species traits on their network roles. Interactions between 14 frugivorous birds and 13 fruit plant species were recorded in the study area. Autumn interactions comprised 38.79% of the overall network, and winter interactions comprised 33.15%. The modularity (Q, z-score) of the network was higher in autumn; the weighted nestedness (wNODF, z-score) and interaction evenness (E2 , z-score) of the network were higher in winter; the connectance (C, z-score) and interaction diversity (z-score) of the network were higher in spring; and the specialization (H2', z-score) of the network was higher in summer. The observed network showed lower C, lower interaction H2 , lower E2 , lower wNODF, higher H2' and higher Q when compared to the random networks. The bird species most important to network stability were Hemixos castanonotus, Parus venustulus, and Pycnonotus sinensis. The most important plant species were Alocasia macrorrhiza, Cinnamomum camphora, and Machilus nanmu. Of all the bird and plant traits included in this study, only plant color had a significant impact on species strength, with black fruit having a higher species strength. Our results suggest that interaction networks in urban green spaces can be temporally complex and variable and that a network approach can be an important monitoring tool for detecting the status of crucial ecosystem functions.
Palabras clave
Texto completo:
1
Base de datos:
MEDLINE
Asunto principal:
Ecosistema
/
Conducta Alimentaria
Tipo de estudio:
Prognostic_studies
Idioma:
En
Revista:
PeerJ
Año:
2023
Tipo del documento:
Article