{"record_type":"pith_number_record","schema_url":"https://pith.science/schemas/pith-number/v1.json","pith_number":"pith:2016:7FS5NSMA3TQMA2I73R4X3MHTKJ","short_pith_number":"pith:7FS5NSMA","schema_version":"1.0","canonical_sha256":"f965d6c980dce0c0691fdc797db0f352499bfaf44c19d7692143cefa1533c954","source":{"kind":"arxiv","id":"1602.06584","version":1},"attestation_state":"computed","paper":{"title":"A model-based approach to assess the effectiveness of pest biocontrol by natural enemies","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":[],"primary_cat":"q-bio.PE","authors_text":"Lionel Roques, Mamadou Ciss, Marie Gosme, Mohamed-Mahmoud Memmah, Nicolas Parisey, Pierre Franck, Sylvain Poggi","submitted_at":"2016-02-21T21:28:05Z","abstract_excerpt":"Main goal: The aim of this note is to propose a modeling approach for assessing the effectiveness of pest biocontrol by natural enemies in diversified agricultural landscapes including several pesticide-based management strategies. Our approach combines a stochastic landscape model with a spatially-explicit model of population dynamics. It enables us to analyze the effect of the landscape composition (proportion of semi-natural habitat, non-treated crops, slightly treated crops and conventionally treated crops) on the effectiveness of pest biocontrol. Effectiveness is measured through environm"},"verification_status":{"content_addressed":true,"pith_receipt":true,"author_attested":false,"weak_author_claims":0,"strong_author_claims":0,"externally_anchored":false,"storage_verified":false,"citation_signatures":0,"replication_records":0,"graph_snapshot":true,"references_resolved":false,"formal_links_present":false},"canonical_record":{"source":{"id":"1602.06584","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"q-bio.PE","submitted_at":"2016-02-21T21:28:05Z","cross_cats_sorted":[],"title_canon_sha256":"3a2dbf160fd27a8ff93c1a2d37677463b87987a8b036752f5440bae5d7200f44","abstract_canon_sha256":"3bcd5967fe402690f98f0a067ce01fa0edffae1e17735c3d12accf0a2ab0b903"},"schema_version":"1.0"},"receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-05-18T01:20:13.624021Z","signature_b64":"UQ1CwdOBIh4RCEDF/g4ry40VTOyfEDVgvU1b0m0rTLjrIc2xhnKeYE2/9OYiCvvadQzg0gGfF3/OQz0nLffwBQ==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"f965d6c980dce0c0691fdc797db0f352499bfaf44c19d7692143cefa1533c954","last_reissued_at":"2026-05-18T01:20:13.623575Z","signature_status":"signed_v1","first_computed_at":"2026-05-18T01:20:13.623575Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"graph_snapshot":{"paper":{"title":"A model-based approach to assess the effectiveness of pest biocontrol by natural enemies","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":[],"primary_cat":"q-bio.PE","authors_text":"Lionel Roques, Mamadou Ciss, Marie Gosme, Mohamed-Mahmoud Memmah, Nicolas Parisey, Pierre Franck, Sylvain Poggi","submitted_at":"2016-02-21T21:28:05Z","abstract_excerpt":"Main goal: The aim of this note is to propose a modeling approach for assessing the effectiveness of pest biocontrol by natural enemies in diversified agricultural landscapes including several pesticide-based management strategies. Our approach combines a stochastic landscape model with a spatially-explicit model of population dynamics. It enables us to analyze the effect of the landscape composition (proportion of semi-natural habitat, non-treated crops, slightly treated crops and conventionally treated crops) on the effectiveness of pest biocontrol. Effectiveness is measured through environm"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1602.06584","kind":"arxiv","version":1},"verdict":{"id":null,"model_set":{},"created_at":null,"strongest_claim":"","one_line_summary":"","pipeline_version":null,"weakest_assumption":"","pith_extraction_headline":""},"references":{"count":0,"sample":[],"resolved_work":0,"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57","internal_anchors":0},"formal_canon":{"evidence_count":0,"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"author_claims":{"count":0,"strong_count":0,"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"builder_version":"pith-number-builder-2026-05-17-v1"},"aliases":[{"alias_kind":"arxiv","alias_value":"1602.06584","created_at":"2026-05-18T01:20:13.623647+00:00"},{"alias_kind":"arxiv_version","alias_value":"1602.06584v1","created_at":"2026-05-18T01:20:13.623647+00:00"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1602.06584","created_at":"2026-05-18T01:20:13.623647+00:00"},{"alias_kind":"pith_short_12","alias_value":"7FS5NSMA3TQM","created_at":"2026-05-18T12:30:04.600751+00:00"},{"alias_kind":"pith_short_16","alias_value":"7FS5NSMA3TQMA2I7","created_at":"2026-05-18T12:30:04.600751+00:00"},{"alias_kind":"pith_short_8","alias_value":"7FS5NSMA","created_at":"2026-05-18T12:30:04.600751+00:00"}],"events":[],"event_summary":{},"paper_claims":[],"inbound_citations":{"count":0,"internal_anchor_count":0,"sample":[]},"formal_canon":{"evidence_count":0,"sample":[],"anchors":[]},"links":{"html":"https://pith.science/pith/7FS5NSMA3TQMA2I73R4X3MHTKJ","json":"https://pith.science/pith/7FS5NSMA3TQMA2I73R4X3MHTKJ.json","graph_json":"https://pith.science/api/pith-number/7FS5NSMA3TQMA2I73R4X3MHTKJ/graph.json","events_json":"https://pith.science/api/pith-number/7FS5NSMA3TQMA2I73R4X3MHTKJ/events.json","paper":"https://pith.science/paper/7FS5NSMA"},"agent_actions":{"view_html":"https://pith.science/pith/7FS5NSMA3TQMA2I73R4X3MHTKJ","download_json":"https://pith.science/pith/7FS5NSMA3TQMA2I73R4X3MHTKJ.json","view_paper":"https://pith.science/paper/7FS5NSMA","resolve_alias":"https://pith.science/api/pith-number/resolve?arxiv=1602.06584&json=true","fetch_graph":"https://pith.science/api/pith-number/7FS5NSMA3TQMA2I73R4X3MHTKJ/graph.json","fetch_events":"https://pith.science/api/pith-number/7FS5NSMA3TQMA2I73R4X3MHTKJ/events.json","actions":{"anchor_timestamp":"https://pith.science/pith/7FS5NSMA3TQMA2I73R4X3MHTKJ/action/timestamp_anchor","attest_storage":"https://pith.science/pith/7FS5NSMA3TQMA2I73R4X3MHTKJ/action/storage_attestation","attest_author":"https://pith.science/pith/7FS5NSMA3TQMA2I73R4X3MHTKJ/action/author_attestation","sign_citation":"https://pith.science/pith/7FS5NSMA3TQMA2I73R4X3MHTKJ/action/citation_signature","submit_replication":"https://pith.science/pith/7FS5NSMA3TQMA2I73R4X3MHTKJ/action/replication_record"}},"created_at":"2026-05-18T01:20:13.623647+00:00","updated_at":"2026-05-18T01:20:13.623647+00:00"}