Data from: Effects of chronic anthropogenic disturbance and rainfall on the specialization of ant-plant mutualistic networks in the Caatinga, a Brazilian dry forest
Câmara, Talita, Federal University of Pernambuco
Leal, Inara R., Federal University of Pernambuco
Blüthgen, Nico, Technical University of Darmstadt
Oliveira, Fernanda M. P., Federal University of Pernambuco
de Queiroz, Rubens T., Federal University of Pernambuco
Arnan, Xavier, Federal University of Pernambuco, Centre for Research on Ecology and Forestry Applications
Published Feb 13, 2019 on Dryad.
Cite this dataset
Câmara, Talita et al. (2019). Data from: Effects of chronic anthropogenic disturbance and rainfall on the specialization of ant-plant mutualistic networks in the Caatinga, a Brazilian dry forest [Dataset]. Dryad. https://doi.org/10.5061/dryad.g7m7c70
1. Anthropogenic disturbance and climate change might negatively affect the ecosystem services provided by mutualistic networks. However, the effects of such forces remain poorly characterized. They may be especially important in dry forests, which (1) experience chronic anthropogenic disturbances (CADs) as human populations exploit forest resources and (2) are predicted to face a 22% decline in rainfall under climate change. 2. In this study, we investigated the separate and combined effects of CADs and rainfall levels on the specialization of mutualistic networks in the Caatinga, a seasonally dry tropical forest typical of northeastern Brazil. More specifically, we examined interactions between plants bearing extrafloral nectaries (EFNs) and ants. We analyzed whether differences in network specialization could arise from environmentally mediated variation in the species composition, namely via the replacement of specialist by generalist species. 3. We characterized these ant-plant networks in 15 plots (20 x 20 m) that varied in CAD intensity and mean annual rainfall. We quantified CAD intensity by calculating three indices related to the main sources of disturbance in the Caatinga: livestock grazing (LG), wood extraction (WE), and miscellaneous resource use (MU). We determined the degree of ant-plant network specialization using four metrics: generality, vulnerability, interaction evenness, and H2’. 4. Our results indicate that CADs differentially influenced network specialization: we observed positive, negative, and neutral responses along LG, MU, and WE gradients, respectively. The pattern was most pronounced with LG. Rainfall also shaped network specialization, markedly increasing it. While LG and rainfall were associated with changes in network species composition, this trend was not related to the degree of species specialization. This result suggests that shifts in network specialization might be related to changes in species behavior, not species composition. 5. Our study highlights the vulnerability of such dry forest ant-plant networks to climate change. Moreover, dry forests experience highly heterogeneous anthropogenic disturbances, creating a geographic mosaic of selective forces that may shape the coevolution of interactions between ants and EFN-bearing plants.
Dataset: dataset used to build networks between ant and plants bearing extrafloral nectaries. Info_aboutplots: information about rainfall and the intensity of disturbance that corresponds to the main sources of chronic anthropogenic disturbances. Networkmetric_info: Information about the degree of specialization between ant and plants bearing extrafloral nectaries from different observed and null-model metrics