DOI: 10.5061/dryad.ffbg79d38
title: Data from: A new tool to improve the estimates of interaction rewiring considering the whole community composition

description: Understanding temporal dynamics in ecological networks is crucial to
 predicting their capability to cope with global changes. Despite this,
 proper quantification of network dynamics still remains a challenge.
 Temporal dynamics are typically studied using data of interaction networks
 over time, through the evaluation of interaction turnover and its two
 components: changes related to species turnover (species gains and losses)
 or rewiring (switching partners among the set of species shared over
 time). However, with this approach based exclusively on network data,
 dynamics are computed similarly for species that are truly missing from
 the community at a given temporal period, and for species occurring in the
 community but that do not interact with any other. This might lead to an
 underestimation of the real extent of rewiring, while overestimating the
 species turnover component of interaction turnover. We used data on 20
 plant-pollinator communities to calculate interaction turnover components
 accounting also for the species that occurred in the communities at
 different temporal periods but did not appear in some of the temporal
 interaction networks (non-interacting species), and then compared these
 estimates with conventional ones. Besides, we used empirical data and
 simulations to evaluate the extent to which dynamics estimates were
 affected by sampling effort when including and excluding non-interacting
 species. As expected, disregarding the non-interacting species that occur
 in the communities at different temporal periods leads to the
 underestimation of rewiring and the overestimation of species turnover as
 components of interaction turnover. Effect size was moderate when
 independent pollinator data were included, and large when including plants
 or both trophic levels. Simulations indicated that, in general,
 considering the non-interacting species reduced biases at the time of
 identifying changes due to the different interaction turnover components.
 Accounting for non-interacting species was particularly important to
 reduce bias when sampling effort was low and when dynamics were calculated
 seasonally. Despite sampling effort effects, phenology was the main
 determinant of species’ rewiring frequencies. Our approach contributes to
 reducing biases and improving the estimates of interaction flexibility in
 networks, which are necessary to comprehend the response of communities in
 the face of global change.
description: # Data from: A new tool to improve the estimates of interaction rewiring
 considering the whole community composition
 [https://doi.org/10.5061/dryad.ffbg79d38](https://doi.org/10.5061/dryad.ffbg79d38) Data used in the analyses of the paper "A new tool to improve the estimates of interaction rewiring considering the whole community composition". ## Description of the data and file structure **01_Conventional_vs_INIS_Qualitative.xlsx** and **01_Conventional_vs_INIS_Quantitative.xlsx** contain the values of Interaction turnover and its components estimated in 20 natural communities in Mallorca Island (Gómez-Martínez et al. 2022, Lázaro et al. 2022), following the Conventional or the INIS approach, and using Qualitative or Quantitative data. Description of each variable within the file. **02_SamplingEffort_Interannual.xlsx** contains the values of Interaction turnover and its components between plant-pollinator interaction networks of 2016 and 2017 in Son Bosc, Mallorca Island (Lázaro et al. 2020), with an increasing sampling effort estimated by accumulating sampling days. Description of each variable within the file. **02_SamplingEffort_Seasonal.xlsx** contains the values of Interaction turnover and its components between plant-pollinator interaction networks of different sampling days in Son Bosc, Mallorca Island (Lázaro et al. 2020), with an increasing sampling effort estimated by accumulating minutes of sampling. Description of each variable within the file. **03_SamplingCompleteness.xlsx** contains the rewiring events of species (pollinators and plants) in 2016 and 2017 in Son Bosc, Mallorca Island (Lázaro et al. 2020) following the Conventional and the INIS approach, and the sampling completeness of interactions for each species. Description of each variable within the file. ## References Gómez-Martínez, Carmelo, Miguel A. González-Estévez, Joana Cursach, and Amparo Lázaro. 2022. “ Pollinator Richness, Pollination Networks, and Diet Adjustment along Local and Landscape Gradients of Resource Diversity.” Ecological Applications 32(6): e2634. [https://doi.org/10.1002/eap.2634](https://doi.org/10.1002/eap.2634) Lázaro, A., & Gómez-Martínez, C. (2022). Habitat loss increases seasonal interaction rewiring in plant–pollinator networks. Functional Ecology, 36, 2673–2684. [https://doi.org/10.1111/1365-2435.14160](https://doi.org/10.1111/1365-2435.14160) Lázaro A, Gómez-Martínez C, Alomar D, González-Estévez MA, Traveset A. Linking species-level network metrics to flower traits and plant fitness. J Ecol. 2020; 108: 1287–1298. [https://doi.org/10.1111/1365-2745.13334](https://doi.org/10.1111/1365-2745.13334)