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Effects of climate on pollination networks in the West Indies

Published online by Cambridge University Press:  01 September 2009

Ana M. Martín González*
Affiliation:
Unit of Ecology and Center for Ecological Research and Forestry Applications (CREAF), Autonomous University of Barcelona, ES 08193 Bellaterra, Barcelona, Spain Department of Biological Sciences, Aarhus University, Ny Munkegade, Building 1540, DK-8000 Aarhus C, Denmark
Bo Dalsgaard
Affiliation:
Department of Biological Sciences, Aarhus University, Ny Munkegade, Building 1540, DK-8000 Aarhus C, Denmark
Jeff Ollerton
Affiliation:
Landscape and Biodiversity Research Group, School of Applied Sciences, University of Northampton, Park Campus, Northampton NN2 7AL, UK
Allan Timmermann
Affiliation:
Department of Biological Sciences, Aarhus University, Ny Munkegade, Building 1540, DK-8000 Aarhus C, Denmark
Jens M. Olesen
Affiliation:
Department of Biological Sciences, Aarhus University, Ny Munkegade, Building 1540, DK-8000 Aarhus C, Denmark
Laila Andersen
Affiliation:
Department of Biological Sciences, Aarhus University, Ny Munkegade, Building 1540, DK-8000 Aarhus C, Denmark
Adrianne G. Tossas
Affiliation:
Villas del Río, 1100 Bambú, Mayagüez, Puerto Rico
*
1Corresponding author. Email: ana.maria.martingonzalez@gmail.com
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Abstract:

We studied the effect of climate on the plant-pollinator communities in the West Indies. We constructed plots of 200 m × 5 m in two distinct habitats on the islands of Dominica, Grenada and Puerto Rico (total of six plots) and recorded visitors to all plant species in flower. In total we recorded 447 interactions among 144 plants and 226 pollinator species. Specifically we describe how rainfall and temperature affect proportional richness and importance of the different pollinator functional groups. We used three measures of pollinator importance: number of interactions, number of plant species visited and betweenness centrality. Overall rainfall explained most of the variation in pollinator richness and relative importance. Bird pollination tended to increase with rainfall, although not significantly, whereas insects were significantly negatively affected by rainfall. However, the response among insect groups was more complex; bees were strongly negatively affected by rainfall, whereas dipterans showed similar trends to birds. Bird, bee and dipteran variation along the climate gradient can be largely explained by their physiological capabilities to respond to rainfall and temperature, but the effect of climate on other insect pollinator groups was more obscure. This study contributes to the understanding of how climate may affect neotropical plant-pollinator communities.

Information

Type
Research Article
Copyright
Copyright © Cambridge University Press 2009
Figure 0

Table 1. Description of the study sites from the West Indies. Total P = the number of plants observed in each site (i.e. total number of plant species in flower), P Visited = the number of plant species which received visits during our observations. A = Total number of pollinator species; Insect = Number of insect pollinator species; Insect Obs = Hours of insect observations; Av. Ins. Obs. = Average observation time (h) of each plant in each site for insects; Bird Obs. = Hours of bird observations; Av. Bird Obs. = Average observation time (h) of each plant in each site for birds. Rainfall data were collected by the Forestry and Wildlife Division of Dominica, by the Forestry Department, Grenada Ministry of Agriculture and the Departamento de Recursos Naturales y Ambientales of Puerto Rico. Mean annual temperature at each study site was calculated using the wet adiabatic lapse rate (0.65 °C per 100 m) as in Buckley & Roughgarden (2006), the mean annual long-term sea-level temperature close to each of our lowland study sites (NOAA National Weather Service) and the elevation of each study site.

Figure 1

Table 2. Absolute values of species richness and measure of pollinator importance for each pollinator group at each site. BC = betweenness centrality; Dipt. = dipterans; Lep. = lepidopterans; Col. = coleopterans.

Figure 2

Table 3. Results of the simple and multiple regressions. For each response variable (% species richness,% plant species visited,% interactions, and% BC), the effect of the predictor variables is based on a comparison of three regression models containing: (1) mean annual rainfall (MAR); (2) mean annual temperature (MAT); (3) multiple regression models containing MAR and MAT. For each model, the standardized coefficients and their significance level is indicate for each of the predictor variables, as well as the model fit based on Radj and P-value. ** P < 0.025, * P < 0.5. Dipt. = Diptera; Lep. = Lepidoptera; Col. = Coleoptera.

Figure 3

Figure 1. For the insect groups, the relationships between rainfall and the studied measures: pollinator species richness (a); pollinator group's number of interactions (b); pollinator group's number of plant species visited (c); and pollinator group's topological importance as betweenness centrality (BC) (d). Notice that raw values were used for the figures whereas transformed values were used for the analyses. Only significant relationships are shown, i.e. P < 0.05.

Figure 4

Appendix 1. Plant species present at each site.

Figure 5

Appendix 2. Pollinator species and morphospecies present in our sites grouped by order and family whenever the information was available. Morphospecies names are given within each site, e.g. ‘Apidae sp. 1’ in Dominica lowland is not necessarily the same ‘Apidae sp. 1’ in Grenada lowland. Vouchers are kept at Aarhus University.