Try:droughtFusariumnitrogen fertilizerArabidopsisseed germination
Claim · model-written summary
Mutualistic plant–insect network structure remained strongly related to original networks when nodes were grouped to genus.
Verbatim
e0“The mutualistic network structure was strongly linearly related to the original network structures if all nodes were grouped up to genus level.”
t0“antagonistic plant–insect interactions”
Title
Bárbara Nobrega Rodrigues; Danilo Boscolo Ecological Entomology 2020. doi:10.1111/een.12844
Claim · model-written summary
A new metric accurately linked competitive and mutualistic network structure with species coexistence.
Not reportedComparatorValue
Verbatim
e0“we introduce a new metric that accurately links the network structures of competitive and mutualistic interactions to species coexistence.”
e1“competitive interactions among plants and among pollinators are present.”
Title
Interspecific competition shapes the structural stability of mutualistic networks
Xiangrong Wang; Thomas Peron; Johan L.A. Dubbeldam; et al. Chaos Solitons & Fractals 2023. doi:10.1016/j.chaos.2023.113507
Claim · model-written summary
The UNet with the EfficientNetB0 backbone significantly improved classification performance relative to the other backbone structures evaluated.
Verbatim
e2“especially when using an EfficientNetB0 backbone, significantly improves classification performance”
e3“seven distinct cover crop community types”
e4“evaluates the effectiveness of different backbone structures applied to a UNet network”
Title
Isabella Ghiglieno; Girma Tariku Woldesemayat; Andres Sanchez Morchio; et al. AgriEngineering 2025. doi:10.3390/agriengineering7120434
Claim · model-written summary
Molecular networks had fewer links than traditional networks.
Verbatim
e1“Our results showed that the accuracy of diet identification by observation method increased with the number of observed insect occurrences on food plants”
e3“Network analysis showed molecular networks had threefold more unique host plant species but fewer links than the traditional networks had”
Title
Chunchao Zhu; Dominique Gravel; Fangliang He Ecology and Evolution 2019. doi:10.1002/ece3.4860
Claim · model-written summary
Epiphytic bryophyte networks reached a stable state at about 30 sampled hosts.
Verbatim
e0“network structures showed the critical transition to stable state when sampling size approximated 30 hosts for epiphytic bryophytes”
Title
Combining critical transition indicator to compare the stable structure of epiphyte–host networks
Hai-Xia Hu; Yu-Xuan Mo; Sujan Balami; et al. Ecological Indicators 2024. doi:10.1016/j.ecolind.2024.112470
Claim · model-written summary
Molecular networks had threefold more unique host plant species than traditional networks.
Verbatim
e1“Our results showed that the accuracy of diet identification by observation method increased with the number of observed insect occurrences on food plants”
e3“Network analysis showed molecular networks had threefold more unique host plant species but fewer links than the traditional networks had”
Title
Chunchao Zhu; Dominique Gravel; Fangliang He Ecology and Evolution 2019. doi:10.1002/ece3.4860
Claim · model-written summary
Epiphytic vascular plant networks reached a stable state at about 100 sampled hosts.
Verbatim
e0“network structures showed the critical transition to stable state when sampling size approximated 30 hosts for epiphytic bryophytes and 100 hosts for epiphytic vascular plants.”
Title
Combining critical transition indicator to compare the stable structure of epiphyte–host networks
Hai-Xia Hu; Yu-Xuan Mo; Sujan Balami; et al. Ecological Indicators 2024. doi:10.1016/j.ecolind.2024.112470
Claim · model-written summary
The molecular method detected plants, including bamboos, bryophytes and lianas, that the traditional method did not sample in insect herbivore diets.
Verbatim
e4“The molecular method detected plants that were not sampled by the traditional method, for example, bamboos, bryophytes and lianas in the diets of insect herbivores”
Title
Chunchao Zhu; Dominique Gravel; Fangliang He Ecology and Evolution 2019. doi:10.1002/ece3.4860
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