Evidence map›Paper›PMID 32973407›Full record

ArticleBioscience2020

Global Cropland Connectivity: A Risk Factor for Invasion and Saturation by Emerging Pathogens and Pests.

Yanru Xing, John F Hernandez Nopsa, Kelsey F Andersen, Jorge L Andrade-Piedra, Fenton D Beed, Guy Blomme, Mónica Carvajal-Yepes, Danny L Coyne, Wilmer J Cuellar, Gregory A Forbes and 8 more

Abstract read
In one paragraph

Article in Bioscience, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

9 citing papers in PubMed.

  1. Article
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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

18 authors.

Yanru XingPlant Pathology Department, Institute for Sustainable Food Systems, and Emerging Pathogens Institute at University of Florida, Gainesville, USA.
John F Hernandez NopsaCorporación Colombiana de Investigación Agropecuaria, AGROSAVIA, Mosquera-Bogota, Colombia.
Kelsey F AndersenPlant Pathology Department, Institute for Sustainable Food Systems, and Emerging Pathogens Institute at University of Florida, Gainesville, USA.
Jorge L Andrade-PiedraInternational Potato Center (CIP), P.O. Box 1558, Lima 12, Peru.
Fenton D BeedPlant Production and Protection Division, Food and Agriculture Organization, United Nations (FAO), 00153 Roma, Italy.
Guy BlommeBioversity International, c/o ILRI, Addis Ababa, Ethiopia.
Mónica Carvajal-YepesInternational Center for Tropical Agriculture (CIAT), AA6713, Cali, Colombia.
Danny L CoyneInternational Institute of Tropical Agriculture (IITA), Nairobi, Kenya.
Wilmer J CuellarInternational Center for Tropical Agriculture (CIAT), AA6713, Cali, Colombia.
Gregory A ForbesInternational Potato Center (CIP), P.O. Box 1558, Lima 12, Peru.
Jan F KreuzeInternational Potato Center (CIP), P.O. Box 1558, Lima 12, Peru.
Jürgen KroschelInternational Potato Center (CIP), P.O. Box 1558, Lima 12, Peru.
P Lava KumarInternational Institute of Tropical Agriculture (IITA), Ibadan, Nigeria.
James P LeggInternational Institute of Tropical Agriculture (IITA), Dar es Salaam, Tanzania.
Monica ParkerInternational Potato Center (CIP), Nairobi, Kenya.
Elmar Schulte-GeldermannInternational Potato Center (CIP), Nairobi, Kenya.
Kalpana SharmaInternational Potato Center (CIP), Nairobi, Kenya.
Karen A GarrettPlant Pathology Department, Institute for Sustainable Food Systems, and Emerging Pathogens Institute at University of Florida, Gainesville, USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The geographic pattern of cropland is an important risk factor for invasion and saturation by crop-specific pathogens and arthropods. Understanding cropland networks supports smart pest sampling and mitigation strategies. We evaluate global networks of cropland connectivity for key vegetatively propagated crops (banana and plantain, cassava, potato, sweet potato, and yam) important for food security in the tropics. For each crop, potential movement between geographic location pairs was evaluated using a gravity model, with associated uncertainty quantification. The highly linked hub and bridge locations in cropland connectivity risk maps are likely priorities for surveillance and management, and for tracing intraregion movement of pathogens and pests. Important locations are identified beyond those locations that simply have high crop density. Cropland connectivity risk maps provide a new risk component for integration with other factors-such as climatic suitability, genetic resistance, and global trade routes-to inform pest risk assessment and mitigation.

Indexed as

banana and plantaincropland connectivity riskinvasion and saturationnetwork analysisroots and tubers

Identifiers

PMID32973407
PMCPMC7498352

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.