Succession and seasonality drive tropical butterfly assembly after an extreme hurricane

Author:

Aparicio‐Jiménez Dayneris1,Terry Caitlin N.2ORCID,Massol‐Deyá Arturo13,Puente‐Rolón Alberto R.1,Hulshof Catherine M.24ORCID

Affiliation:

1. Department of Biology University of Puerto Rico Mayagüez Mayagüez Puerto Rico USA

2. Department of Biology Virginia Commonwealth University Richmond Virginia USA

3. Casa Pueblo Adjuntas Puerto Rico USA

4. National Museum of Natural History Smithsonian Institution Washington District of Columbia USA

Abstract

AbstractThe composition and biodiversity of insect community assemblages are mediated by a complex set of biotic and abiotic factors. Among these factors are forest structure and atmospheric variables (like temperature and humidity), which are heavily influenced by frequent hurricane activity in the Caribbean. Despite this, changes in Caribbean insect assemblages as forests recover from hurricane disturbance are poorly documented. Butterflies represent a charismatic model taxon in biodiversity and conservation, and are thus an ideal subject for exemplifying these shifts in insect abundances and diversity across ecological succession. Here, we monitored butterfly communities in two Puerto Rican forests differing in structure (i.e., canopy height, tree size) to assess butterfly diversity, abundances, and community level wing traits (size and color) over 1 year, beginning 6 months after Hurricane Maria. Monthly sampling over the course of 1 year revealed no relationships between abundances and canopy openness or humidity; instead, species abundances fluctuated seasonally and were nonlinearly correlated with temperature. In contrast, wing size and color were linearly correlated with abiotic variables. Specifically, wings were larger in cooler and more open conditions. Wing color saturation and brightness were negatively correlated with humidity. Our results suggest that, first, a functional approach may provide better insight into the factors mediating species responses to disturbances. Second, further disentangling abundance seasonality from impacts of extreme disturbances necessitates long‐term monitoring.Abstract in Spanish is available with online material.

Funder

Division of Environmental Biology

Puerto Rico Science, Technology and Research Trust

Publisher

Wiley

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