World Wide Food Webs: Power to Feed Ecologists

Mulder, Christian

doi:10.1007/s13280-010-0069-5

Cited by 4 publications

(2 citation statements)

References 19 publications

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“…Clearly the completeness of the present database was only possible thanks to the availability of digital resources, which represent an important opportunity for the analysis of biotic associations [57]. Host plant-associations and distribution records, tools for validation of taxonomic and nomenclatural information, and detailed phylogenies for both taxonomic groups, were all available in different sources thanks to the contribution of several individuals and research groups.…”

Section: Discussionmentioning

confidence: 99%

Congruence and Diversity of Butterfly-Host Plant Associations at Higher Taxonomic Levels

Sánchez-Mercado

Viloria

et al. 2013

PLoS ONE

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We aggregated data on butterfly-host plant associations from existing sources in order to address the following questions: (1) is there a general correlation between host diversity and butterfly species richness?, (2) has the evolution of host plant use followed consistent patterns across butterfly lineages?, (3) what is the common ancestral host plant for all butterfly lineages? The compilation included 44,148 records from 5,152 butterfly species (28.6% of worldwide species of Papilionoidea) and 1,193 genera (66.3%). The overwhelming majority of butterflies use angiosperms as host plants. Fabales is used by most species (1,007 spp.) from all seven butterfly families and most subfamilies, Poales is the second most frequently used order, but is mostly restricted to two species-rich subfamilies: Hesperiinae (56.5% of all Hesperiidae), and Satyrinae (42.6% of all Nymphalidae). We found a significant and strong correlation between host plant diversity and butterfly species richness. A global test for congruence (Parafit test) was sensitive to uncertainty in the butterfly cladogram, and suggests a mixed system with congruent associations between Papilionidae and magnoliids, Hesperiidae and monocots, and the remaining subfamilies with the eudicots (fabids and malvids), but also numerous random associations. The congruent associations are also recovered as the most probable ancestral states in each node using maximum likelihood methods. The shift from basal groups to eudicots appears to be more likely than the other way around, with the only exception being a Satyrine-clade within the Nymphalidae that feed on monocots. Our analysis contributes to the visualization of the complex pattern of interactions at superfamily level and provides a context to discuss the timing of changes in host plant utilization that might have promoted diversification in some butterfly lineages.

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Section: Discussionmentioning

confidence: 99%

Congruence and Diversity of Butterfly-Host Plant Associations at Higher Taxonomic Levels

Sánchez-Mercado

Viloria

et al. 2013

PLoS ONE

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“…Following Mulder and according to the working hypothesis that as many potential stressors should be taken into account as possible, we started with biosurvey data for Ohio and identified a suite of data sources representing potential stressor variables. Upon identification, we collected, collated, and spatially linked these data sources, yielding a “phase 1” integrated data set.…”

Section: Methodsmentioning

confidence: 99%

Developing a foundation for eco‐epidemiological assessment of aquatic ecological status over large geographic regions utilizing existing data resources and models

Kapo

Holmes

Dyer

et al. 2014

Enviro Toxic and Chemistry

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Eco-epidemiological studies utilizing existing monitoring program data provide a cost-effective means to bridge the gap between the ecological status and chemical status of watersheds and to develop hypotheses of stressor attribution that can influence the design of higher-tier assessments and subsequent management. The present study describes the process of combining existing data and models to develop a robust starting point for eco-epidemiological analyses of watersheds over large geographic scales. Data resources from multiple federal and local agencies representing a range of biological, chemical, physical, toxicological, and other landscape factors across the state of Ohio, USA (2000-2007), were integrated with the National Hydrography Dataset Plus hydrologic model (US Environmental Protection Agency and US Geological Survey). A variety of variable reduction, selection, and optimization strategies were applied to develop eco-epidemiological data sets for fish and macroinvertebrate communities. The relative importance of landscape variables was compared across spatial scales (local catchment, watershed, near-stream) using conditional inference forests to determine the scales most relevant to variation in biological community condition. Conditional inference forest analysis applied to a holistic set of environmental variables yielded stressor-response hypotheses at the statewide and eco-regional levels. The analysis confirmed the dominant influence of state-level stressors such as physical habitat condition, while highlighting differences in predictive strength of other stressors based on ecoregional and land-use characteristics. This exercise lays the groundwork for subsequent work designed to move closer to causal inference.

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A Belowground Perspective on Dutch Agroecosystems: How Soil Organisms Interact to Support Ecosystem Services

Mulder¹,

Boit²,

Bonkowski³

et al. 2011

Advances in Ecological Research

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World Wide Food Webs: Power to Feed Ecologists

Cited by 4 publications

References 19 publications

Congruence and Diversity of Butterfly-Host Plant Associations at Higher Taxonomic Levels

Congruence and Diversity of Butterfly-Host Plant Associations at Higher Taxonomic Levels

Developing a foundation for eco‐epidemiological assessment of aquatic ecological status over large geographic regions utilizing existing data resources and models

A Belowground Perspective on Dutch Agroecosystems: How Soil Organisms Interact to Support Ecosystem Services

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