Using motifs in ecological networks to identify the role of plants in crop margins for multiple agriculture functions
Advances in network ecology offer new tools for the sustainable management of agroecosystems. Plants in field margins may be involved in different processes of agronomic importance - indirectly affecting crops by supporting shared pollinators, hosting natural enemies of pests or acting as pest reser...
Ausführliche Beschreibung
Autor*in: |
Tavella, Julia [verfasserIn] |
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E-Artikel |
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Sprache: |
Englisch |
Erschienen: |
2022transfer abstract |
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Übergeordnetes Werk: |
Enthalten in: Effects of peptides with different side groups on the surface mineralization process of bioceramic - Han, Wanru ELSEVIER, 2023, an international journal for scientific research on the relationship of agriculture and food production to the biosphere, Amsterdam [u.a.] |
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Übergeordnetes Werk: |
volume:331 ; year:2022 ; day:15 ; month:06 ; pages:0 |
Links: |
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DOI / URN: |
10.1016/j.agee.2022.107912 |
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ELV05703043X |
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520 | |a Advances in network ecology offer new tools for the sustainable management of agroecosystems. Plants in field margins may be involved in different processes of agronomic importance - indirectly affecting crops by supporting shared pollinators, hosting natural enemies of pests or acting as pest reservoirs. In this work, we explored the use of motifs (patterns of interaction between a subset of species) in agricultural ecological networks incorporating multiple types of trophic interactions to identify plant species with a key role in field margins. We searched for plant species benefiting crops via (1) shared pollinators and (2) supporting parasitoids of crop pests; or (3) negatively affecting crops through attracting pest herbivore species. We focused on determining whether species’ showed consistent affiliation with these roles across the landscape and evaluated the potential of plant species to influence crops indirectly via shared insect partners. To showcase our framework, we used a unique data set of antagonistic and mutualistic interactions recorded in soybean crops and wild plant species in field margins, that despite its limitations (e.g., spanning one growing season) allowed us to test our approach using multiple types of interactions simultaneously. Here, we support the use of motifs in multi-trophic interaction networks in agroecosystems to reveal the role of key plant species in sustaining ecological functions involving crops and other plant species, enhancing the evidence base for management recommendations in the future. | ||
520 | |a Advances in network ecology offer new tools for the sustainable management of agroecosystems. Plants in field margins may be involved in different processes of agronomic importance - indirectly affecting crops by supporting shared pollinators, hosting natural enemies of pests or acting as pest reservoirs. In this work, we explored the use of motifs (patterns of interaction between a subset of species) in agricultural ecological networks incorporating multiple types of trophic interactions to identify plant species with a key role in field margins. We searched for plant species benefiting crops via (1) shared pollinators and (2) supporting parasitoids of crop pests; or (3) negatively affecting crops through attracting pest herbivore species. We focused on determining whether species’ showed consistent affiliation with these roles across the landscape and evaluated the potential of plant species to influence crops indirectly via shared insect partners. To showcase our framework, we used a unique data set of antagonistic and mutualistic interactions recorded in soybean crops and wild plant species in field margins, that despite its limitations (e.g., spanning one growing season) allowed us to test our approach using multiple types of interactions simultaneously. Here, we support the use of motifs in multi-trophic interaction networks in agroecosystems to reveal the role of key plant species in sustaining ecological functions involving crops and other plant species, enhancing the evidence base for management recommendations in the future. | ||
650 | 7 | |a Indirect interactions |2 Elsevier | |
650 | 7 | |a Pest control |2 Elsevier | |
650 | 7 | |a Multi-trophic networks |2 Elsevier | |
650 | 7 | |a Herbivory |2 Elsevier | |
650 | 7 | |a Pollination |2 Elsevier | |
700 | 1 | |a Windsor, Fredric M. |4 oth | |
700 | 1 | |a Rother, Débora C. |4 oth | |
700 | 1 | |a Evans, Darren M. |4 oth | |
700 | 1 | |a Guimarães, Paulo R. |4 oth | |
700 | 1 | |a Palacios, Tania P. |4 oth | |
700 | 1 | |a Lois, Marcelo |4 oth | |
700 | 1 | |a Devoto, Mariano |4 oth | |
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10.1016/j.agee.2022.107912 doi /cbs_pica/cbs_olc/import_discovery/elsevier/einzuspielen/GBV00000000001697.pica (DE-627)ELV05703043X (ELSEVIER)S0167-8809(22)00061-5 DE-627 ger DE-627 rakwb eng 530 600 670 VZ 51.00 bkl Tavella, Julia verfasserin aut Using motifs in ecological networks to identify the role of plants in crop margins for multiple agriculture functions 2022transfer abstract nicht spezifiziert zzz rdacontent nicht spezifiziert z rdamedia nicht spezifiziert zu rdacarrier Advances in network ecology offer new tools for the sustainable management of agroecosystems. Plants in field margins may be involved in different processes of agronomic importance - indirectly affecting crops by supporting shared pollinators, hosting natural enemies of pests or acting as pest reservoirs. In this work, we explored the use of motifs (patterns of interaction between a subset of species) in agricultural ecological networks incorporating multiple types of trophic interactions to identify plant species with a key role in field margins. We searched for plant species benefiting crops via (1) shared pollinators and (2) supporting parasitoids of crop pests; or (3) negatively affecting crops through attracting pest herbivore species. We focused on determining whether species’ showed consistent affiliation with these roles across the landscape and evaluated the potential of plant species to influence crops indirectly via shared insect partners. To showcase our framework, we used a unique data set of antagonistic and mutualistic interactions recorded in soybean crops and wild plant species in field margins, that despite its limitations (e.g., spanning one growing season) allowed us to test our approach using multiple types of interactions simultaneously. Here, we support the use of motifs in multi-trophic interaction networks in agroecosystems to reveal the role of key plant species in sustaining ecological functions involving crops and other plant species, enhancing the evidence base for management recommendations in the future. Advances in network ecology offer new tools for the sustainable management of agroecosystems. Plants in field margins may be involved in different processes of agronomic importance - indirectly affecting crops by supporting shared pollinators, hosting natural enemies of pests or acting as pest reservoirs. In this work, we explored the use of motifs (patterns of interaction between a subset of species) in agricultural ecological networks incorporating multiple types of trophic interactions to identify plant species with a key role in field margins. We searched for plant species benefiting crops via (1) shared pollinators and (2) supporting parasitoids of crop pests; or (3) negatively affecting crops through attracting pest herbivore species. We focused on determining whether species’ showed consistent affiliation with these roles across the landscape and evaluated the potential of plant species to influence crops indirectly via shared insect partners. To showcase our framework, we used a unique data set of antagonistic and mutualistic interactions recorded in soybean crops and wild plant species in field margins, that despite its limitations (e.g., spanning one growing season) allowed us to test our approach using multiple types of interactions simultaneously. Here, we support the use of motifs in multi-trophic interaction networks in agroecosystems to reveal the role of key plant species in sustaining ecological functions involving crops and other plant species, enhancing the evidence base for management recommendations in the future. Indirect interactions Elsevier Pest control Elsevier Multi-trophic networks Elsevier Herbivory Elsevier Pollination Elsevier Windsor, Fredric M. oth Rother, Débora C. oth Evans, Darren M. oth Guimarães, Paulo R. oth Palacios, Tania P. oth Lois, Marcelo oth Devoto, Mariano oth Enthalten in Elsevier Han, Wanru ELSEVIER Effects of peptides with different side groups on the surface mineralization process of bioceramic 2023 an international journal for scientific research on the relationship of agriculture and food production to the biosphere Amsterdam [u.a.] (DE-627)ELV009569588 volume:331 year:2022 day:15 month:06 pages:0 https://doi.org/10.1016/j.agee.2022.107912 Volltext GBV_USEFLAG_U GBV_ELV SYSFLAG_U 51.00 Werkstoffkunde: Allgemeines VZ AR 331 2022 15 0615 0 |
spelling |
10.1016/j.agee.2022.107912 doi /cbs_pica/cbs_olc/import_discovery/elsevier/einzuspielen/GBV00000000001697.pica (DE-627)ELV05703043X (ELSEVIER)S0167-8809(22)00061-5 DE-627 ger DE-627 rakwb eng 530 600 670 VZ 51.00 bkl Tavella, Julia verfasserin aut Using motifs in ecological networks to identify the role of plants in crop margins for multiple agriculture functions 2022transfer abstract nicht spezifiziert zzz rdacontent nicht spezifiziert z rdamedia nicht spezifiziert zu rdacarrier Advances in network ecology offer new tools for the sustainable management of agroecosystems. Plants in field margins may be involved in different processes of agronomic importance - indirectly affecting crops by supporting shared pollinators, hosting natural enemies of pests or acting as pest reservoirs. In this work, we explored the use of motifs (patterns of interaction between a subset of species) in agricultural ecological networks incorporating multiple types of trophic interactions to identify plant species with a key role in field margins. We searched for plant species benefiting crops via (1) shared pollinators and (2) supporting parasitoids of crop pests; or (3) negatively affecting crops through attracting pest herbivore species. We focused on determining whether species’ showed consistent affiliation with these roles across the landscape and evaluated the potential of plant species to influence crops indirectly via shared insect partners. To showcase our framework, we used a unique data set of antagonistic and mutualistic interactions recorded in soybean crops and wild plant species in field margins, that despite its limitations (e.g., spanning one growing season) allowed us to test our approach using multiple types of interactions simultaneously. Here, we support the use of motifs in multi-trophic interaction networks in agroecosystems to reveal the role of key plant species in sustaining ecological functions involving crops and other plant species, enhancing the evidence base for management recommendations in the future. Advances in network ecology offer new tools for the sustainable management of agroecosystems. Plants in field margins may be involved in different processes of agronomic importance - indirectly affecting crops by supporting shared pollinators, hosting natural enemies of pests or acting as pest reservoirs. In this work, we explored the use of motifs (patterns of interaction between a subset of species) in agricultural ecological networks incorporating multiple types of trophic interactions to identify plant species with a key role in field margins. We searched for plant species benefiting crops via (1) shared pollinators and (2) supporting parasitoids of crop pests; or (3) negatively affecting crops through attracting pest herbivore species. We focused on determining whether species’ showed consistent affiliation with these roles across the landscape and evaluated the potential of plant species to influence crops indirectly via shared insect partners. To showcase our framework, we used a unique data set of antagonistic and mutualistic interactions recorded in soybean crops and wild plant species in field margins, that despite its limitations (e.g., spanning one growing season) allowed us to test our approach using multiple types of interactions simultaneously. Here, we support the use of motifs in multi-trophic interaction networks in agroecosystems to reveal the role of key plant species in sustaining ecological functions involving crops and other plant species, enhancing the evidence base for management recommendations in the future. Indirect interactions Elsevier Pest control Elsevier Multi-trophic networks Elsevier Herbivory Elsevier Pollination Elsevier Windsor, Fredric M. oth Rother, Débora C. oth Evans, Darren M. oth Guimarães, Paulo R. oth Palacios, Tania P. oth Lois, Marcelo oth Devoto, Mariano oth Enthalten in Elsevier Han, Wanru ELSEVIER Effects of peptides with different side groups on the surface mineralization process of bioceramic 2023 an international journal for scientific research on the relationship of agriculture and food production to the biosphere Amsterdam [u.a.] (DE-627)ELV009569588 volume:331 year:2022 day:15 month:06 pages:0 https://doi.org/10.1016/j.agee.2022.107912 Volltext GBV_USEFLAG_U GBV_ELV SYSFLAG_U 51.00 Werkstoffkunde: Allgemeines VZ AR 331 2022 15 0615 0 |
allfields_unstemmed |
10.1016/j.agee.2022.107912 doi /cbs_pica/cbs_olc/import_discovery/elsevier/einzuspielen/GBV00000000001697.pica (DE-627)ELV05703043X (ELSEVIER)S0167-8809(22)00061-5 DE-627 ger DE-627 rakwb eng 530 600 670 VZ 51.00 bkl Tavella, Julia verfasserin aut Using motifs in ecological networks to identify the role of plants in crop margins for multiple agriculture functions 2022transfer abstract nicht spezifiziert zzz rdacontent nicht spezifiziert z rdamedia nicht spezifiziert zu rdacarrier Advances in network ecology offer new tools for the sustainable management of agroecosystems. Plants in field margins may be involved in different processes of agronomic importance - indirectly affecting crops by supporting shared pollinators, hosting natural enemies of pests or acting as pest reservoirs. In this work, we explored the use of motifs (patterns of interaction between a subset of species) in agricultural ecological networks incorporating multiple types of trophic interactions to identify plant species with a key role in field margins. We searched for plant species benefiting crops via (1) shared pollinators and (2) supporting parasitoids of crop pests; or (3) negatively affecting crops through attracting pest herbivore species. We focused on determining whether species’ showed consistent affiliation with these roles across the landscape and evaluated the potential of plant species to influence crops indirectly via shared insect partners. To showcase our framework, we used a unique data set of antagonistic and mutualistic interactions recorded in soybean crops and wild plant species in field margins, that despite its limitations (e.g., spanning one growing season) allowed us to test our approach using multiple types of interactions simultaneously. Here, we support the use of motifs in multi-trophic interaction networks in agroecosystems to reveal the role of key plant species in sustaining ecological functions involving crops and other plant species, enhancing the evidence base for management recommendations in the future. Advances in network ecology offer new tools for the sustainable management of agroecosystems. Plants in field margins may be involved in different processes of agronomic importance - indirectly affecting crops by supporting shared pollinators, hosting natural enemies of pests or acting as pest reservoirs. In this work, we explored the use of motifs (patterns of interaction between a subset of species) in agricultural ecological networks incorporating multiple types of trophic interactions to identify plant species with a key role in field margins. We searched for plant species benefiting crops via (1) shared pollinators and (2) supporting parasitoids of crop pests; or (3) negatively affecting crops through attracting pest herbivore species. We focused on determining whether species’ showed consistent affiliation with these roles across the landscape and evaluated the potential of plant species to influence crops indirectly via shared insect partners. To showcase our framework, we used a unique data set of antagonistic and mutualistic interactions recorded in soybean crops and wild plant species in field margins, that despite its limitations (e.g., spanning one growing season) allowed us to test our approach using multiple types of interactions simultaneously. Here, we support the use of motifs in multi-trophic interaction networks in agroecosystems to reveal the role of key plant species in sustaining ecological functions involving crops and other plant species, enhancing the evidence base for management recommendations in the future. Indirect interactions Elsevier Pest control Elsevier Multi-trophic networks Elsevier Herbivory Elsevier Pollination Elsevier Windsor, Fredric M. oth Rother, Débora C. oth Evans, Darren M. oth Guimarães, Paulo R. oth Palacios, Tania P. oth Lois, Marcelo oth Devoto, Mariano oth Enthalten in Elsevier Han, Wanru ELSEVIER Effects of peptides with different side groups on the surface mineralization process of bioceramic 2023 an international journal for scientific research on the relationship of agriculture and food production to the biosphere Amsterdam [u.a.] (DE-627)ELV009569588 volume:331 year:2022 day:15 month:06 pages:0 https://doi.org/10.1016/j.agee.2022.107912 Volltext GBV_USEFLAG_U GBV_ELV SYSFLAG_U 51.00 Werkstoffkunde: Allgemeines VZ AR 331 2022 15 0615 0 |
allfieldsGer |
10.1016/j.agee.2022.107912 doi /cbs_pica/cbs_olc/import_discovery/elsevier/einzuspielen/GBV00000000001697.pica (DE-627)ELV05703043X (ELSEVIER)S0167-8809(22)00061-5 DE-627 ger DE-627 rakwb eng 530 600 670 VZ 51.00 bkl Tavella, Julia verfasserin aut Using motifs in ecological networks to identify the role of plants in crop margins for multiple agriculture functions 2022transfer abstract nicht spezifiziert zzz rdacontent nicht spezifiziert z rdamedia nicht spezifiziert zu rdacarrier Advances in network ecology offer new tools for the sustainable management of agroecosystems. Plants in field margins may be involved in different processes of agronomic importance - indirectly affecting crops by supporting shared pollinators, hosting natural enemies of pests or acting as pest reservoirs. In this work, we explored the use of motifs (patterns of interaction between a subset of species) in agricultural ecological networks incorporating multiple types of trophic interactions to identify plant species with a key role in field margins. We searched for plant species benefiting crops via (1) shared pollinators and (2) supporting parasitoids of crop pests; or (3) negatively affecting crops through attracting pest herbivore species. We focused on determining whether species’ showed consistent affiliation with these roles across the landscape and evaluated the potential of plant species to influence crops indirectly via shared insect partners. To showcase our framework, we used a unique data set of antagonistic and mutualistic interactions recorded in soybean crops and wild plant species in field margins, that despite its limitations (e.g., spanning one growing season) allowed us to test our approach using multiple types of interactions simultaneously. Here, we support the use of motifs in multi-trophic interaction networks in agroecosystems to reveal the role of key plant species in sustaining ecological functions involving crops and other plant species, enhancing the evidence base for management recommendations in the future. Advances in network ecology offer new tools for the sustainable management of agroecosystems. Plants in field margins may be involved in different processes of agronomic importance - indirectly affecting crops by supporting shared pollinators, hosting natural enemies of pests or acting as pest reservoirs. In this work, we explored the use of motifs (patterns of interaction between a subset of species) in agricultural ecological networks incorporating multiple types of trophic interactions to identify plant species with a key role in field margins. We searched for plant species benefiting crops via (1) shared pollinators and (2) supporting parasitoids of crop pests; or (3) negatively affecting crops through attracting pest herbivore species. We focused on determining whether species’ showed consistent affiliation with these roles across the landscape and evaluated the potential of plant species to influence crops indirectly via shared insect partners. To showcase our framework, we used a unique data set of antagonistic and mutualistic interactions recorded in soybean crops and wild plant species in field margins, that despite its limitations (e.g., spanning one growing season) allowed us to test our approach using multiple types of interactions simultaneously. Here, we support the use of motifs in multi-trophic interaction networks in agroecosystems to reveal the role of key plant species in sustaining ecological functions involving crops and other plant species, enhancing the evidence base for management recommendations in the future. Indirect interactions Elsevier Pest control Elsevier Multi-trophic networks Elsevier Herbivory Elsevier Pollination Elsevier Windsor, Fredric M. oth Rother, Débora C. oth Evans, Darren M. oth Guimarães, Paulo R. oth Palacios, Tania P. oth Lois, Marcelo oth Devoto, Mariano oth Enthalten in Elsevier Han, Wanru ELSEVIER Effects of peptides with different side groups on the surface mineralization process of bioceramic 2023 an international journal for scientific research on the relationship of agriculture and food production to the biosphere Amsterdam [u.a.] (DE-627)ELV009569588 volume:331 year:2022 day:15 month:06 pages:0 https://doi.org/10.1016/j.agee.2022.107912 Volltext GBV_USEFLAG_U GBV_ELV SYSFLAG_U 51.00 Werkstoffkunde: Allgemeines VZ AR 331 2022 15 0615 0 |
allfieldsSound |
10.1016/j.agee.2022.107912 doi /cbs_pica/cbs_olc/import_discovery/elsevier/einzuspielen/GBV00000000001697.pica (DE-627)ELV05703043X (ELSEVIER)S0167-8809(22)00061-5 DE-627 ger DE-627 rakwb eng 530 600 670 VZ 51.00 bkl Tavella, Julia verfasserin aut Using motifs in ecological networks to identify the role of plants in crop margins for multiple agriculture functions 2022transfer abstract nicht spezifiziert zzz rdacontent nicht spezifiziert z rdamedia nicht spezifiziert zu rdacarrier Advances in network ecology offer new tools for the sustainable management of agroecosystems. Plants in field margins may be involved in different processes of agronomic importance - indirectly affecting crops by supporting shared pollinators, hosting natural enemies of pests or acting as pest reservoirs. In this work, we explored the use of motifs (patterns of interaction between a subset of species) in agricultural ecological networks incorporating multiple types of trophic interactions to identify plant species with a key role in field margins. We searched for plant species benefiting crops via (1) shared pollinators and (2) supporting parasitoids of crop pests; or (3) negatively affecting crops through attracting pest herbivore species. We focused on determining whether species’ showed consistent affiliation with these roles across the landscape and evaluated the potential of plant species to influence crops indirectly via shared insect partners. To showcase our framework, we used a unique data set of antagonistic and mutualistic interactions recorded in soybean crops and wild plant species in field margins, that despite its limitations (e.g., spanning one growing season) allowed us to test our approach using multiple types of interactions simultaneously. Here, we support the use of motifs in multi-trophic interaction networks in agroecosystems to reveal the role of key plant species in sustaining ecological functions involving crops and other plant species, enhancing the evidence base for management recommendations in the future. Advances in network ecology offer new tools for the sustainable management of agroecosystems. Plants in field margins may be involved in different processes of agronomic importance - indirectly affecting crops by supporting shared pollinators, hosting natural enemies of pests or acting as pest reservoirs. In this work, we explored the use of motifs (patterns of interaction between a subset of species) in agricultural ecological networks incorporating multiple types of trophic interactions to identify plant species with a key role in field margins. We searched for plant species benefiting crops via (1) shared pollinators and (2) supporting parasitoids of crop pests; or (3) negatively affecting crops through attracting pest herbivore species. We focused on determining whether species’ showed consistent affiliation with these roles across the landscape and evaluated the potential of plant species to influence crops indirectly via shared insect partners. To showcase our framework, we used a unique data set of antagonistic and mutualistic interactions recorded in soybean crops and wild plant species in field margins, that despite its limitations (e.g., spanning one growing season) allowed us to test our approach using multiple types of interactions simultaneously. Here, we support the use of motifs in multi-trophic interaction networks in agroecosystems to reveal the role of key plant species in sustaining ecological functions involving crops and other plant species, enhancing the evidence base for management recommendations in the future. Indirect interactions Elsevier Pest control Elsevier Multi-trophic networks Elsevier Herbivory Elsevier Pollination Elsevier Windsor, Fredric M. oth Rother, Débora C. oth Evans, Darren M. oth Guimarães, Paulo R. oth Palacios, Tania P. oth Lois, Marcelo oth Devoto, Mariano oth Enthalten in Elsevier Han, Wanru ELSEVIER Effects of peptides with different side groups on the surface mineralization process of bioceramic 2023 an international journal for scientific research on the relationship of agriculture and food production to the biosphere Amsterdam [u.a.] (DE-627)ELV009569588 volume:331 year:2022 day:15 month:06 pages:0 https://doi.org/10.1016/j.agee.2022.107912 Volltext GBV_USEFLAG_U GBV_ELV SYSFLAG_U 51.00 Werkstoffkunde: Allgemeines VZ AR 331 2022 15 0615 0 |
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using motifs in ecological networks to identify the role of plants in crop margins for multiple agriculture functions |
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Using motifs in ecological networks to identify the role of plants in crop margins for multiple agriculture functions |
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Advances in network ecology offer new tools for the sustainable management of agroecosystems. Plants in field margins may be involved in different processes of agronomic importance - indirectly affecting crops by supporting shared pollinators, hosting natural enemies of pests or acting as pest reservoirs. In this work, we explored the use of motifs (patterns of interaction between a subset of species) in agricultural ecological networks incorporating multiple types of trophic interactions to identify plant species with a key role in field margins. We searched for plant species benefiting crops via (1) shared pollinators and (2) supporting parasitoids of crop pests; or (3) negatively affecting crops through attracting pest herbivore species. We focused on determining whether species’ showed consistent affiliation with these roles across the landscape and evaluated the potential of plant species to influence crops indirectly via shared insect partners. To showcase our framework, we used a unique data set of antagonistic and mutualistic interactions recorded in soybean crops and wild plant species in field margins, that despite its limitations (e.g., spanning one growing season) allowed us to test our approach using multiple types of interactions simultaneously. Here, we support the use of motifs in multi-trophic interaction networks in agroecosystems to reveal the role of key plant species in sustaining ecological functions involving crops and other plant species, enhancing the evidence base for management recommendations in the future. |
abstractGer |
Advances in network ecology offer new tools for the sustainable management of agroecosystems. Plants in field margins may be involved in different processes of agronomic importance - indirectly affecting crops by supporting shared pollinators, hosting natural enemies of pests or acting as pest reservoirs. In this work, we explored the use of motifs (patterns of interaction between a subset of species) in agricultural ecological networks incorporating multiple types of trophic interactions to identify plant species with a key role in field margins. We searched for plant species benefiting crops via (1) shared pollinators and (2) supporting parasitoids of crop pests; or (3) negatively affecting crops through attracting pest herbivore species. We focused on determining whether species’ showed consistent affiliation with these roles across the landscape and evaluated the potential of plant species to influence crops indirectly via shared insect partners. To showcase our framework, we used a unique data set of antagonistic and mutualistic interactions recorded in soybean crops and wild plant species in field margins, that despite its limitations (e.g., spanning one growing season) allowed us to test our approach using multiple types of interactions simultaneously. Here, we support the use of motifs in multi-trophic interaction networks in agroecosystems to reveal the role of key plant species in sustaining ecological functions involving crops and other plant species, enhancing the evidence base for management recommendations in the future. |
abstract_unstemmed |
Advances in network ecology offer new tools for the sustainable management of agroecosystems. Plants in field margins may be involved in different processes of agronomic importance - indirectly affecting crops by supporting shared pollinators, hosting natural enemies of pests or acting as pest reservoirs. In this work, we explored the use of motifs (patterns of interaction between a subset of species) in agricultural ecological networks incorporating multiple types of trophic interactions to identify plant species with a key role in field margins. We searched for plant species benefiting crops via (1) shared pollinators and (2) supporting parasitoids of crop pests; or (3) negatively affecting crops through attracting pest herbivore species. We focused on determining whether species’ showed consistent affiliation with these roles across the landscape and evaluated the potential of plant species to influence crops indirectly via shared insect partners. To showcase our framework, we used a unique data set of antagonistic and mutualistic interactions recorded in soybean crops and wild plant species in field margins, that despite its limitations (e.g., spanning one growing season) allowed us to test our approach using multiple types of interactions simultaneously. Here, we support the use of motifs in multi-trophic interaction networks in agroecosystems to reveal the role of key plant species in sustaining ecological functions involving crops and other plant species, enhancing the evidence base for management recommendations in the future. |
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Using motifs in ecological networks to identify the role of plants in crop margins for multiple agriculture functions |
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