首页/数据集/Data and Code for "Forecasting future crop disease and pest occurrences: insights from Japan's national surveys"

Data and Code for "Forecasting future crop disease and pest occurrences: insights from Japan's national surveys"

NIAID Data Ecosystem2026-05-02 收录

害虫物候预测

农业监测数据

数据链接：

https://zenodo.org/record/13357970 数据链接链接失效反馈

官方服务：

资源简介：

This repository consists of scripts to analyze crop dieseas and pest occurrence dataset obtained from the nationwide field survyes in Japan and the correspoding datasets.

应用场景：

创建时间：

2025-02-27

害虫物候预测

昆虫飞行行为

Recently, individuals of the oriental fruit fly and its relatives (Bactrocera dorsalis species complex)—previously eradicated in Japan—have occasionally been captured in surveillance traps in the Kyus

NIAID Data Ecosystem60

Dataset for "A new growing degree-day phenology model for wheat stem sawfly (Hymenoptera: Cephidae) in Colorado wheat fields".

害虫物候预测

小麦茎锯蜂生态模型

This dataset contains growing degree-day and phenology observations of the wheat stem sawfly ( Cephus cinctus ) across multiple wheat fields in Colorado from 2011 to 2023. Data includes site loca

DataCite Commons2025-03-01 更新40

Asian Longhorned Beetle Pheno Forecast, Contiguous United States, Current Year and Prior Year

害虫物候预测

森林害虫管理

Pheno Forecast maps predict key life cycle stages in a range of species to improve conservation and management outcomes. For insect pest species, Pheno Forecasts are based on published growing degree

DataCite Commons2024-10-14 更新30

Winter Moth Pheno Forecast, Contiguous United States, 2016 - Current Year

害虫物候预测

林业害虫综合治理

Pheno Forecast maps predict key life cycle stages in a range of species to improve conservation and management outcomes. For insect pest species, Pheno Forecasts are based on published growing degre

DataCite Commons2024-08-15 更新60

Ecological Niche Model (ENM) performance for different Bactrocera dorsalis complex datasets.

物种分布建模

害虫物候预测

DPP = B. dorsalis + B. philippinensis + B. papayae, All = B. dorsalis + B. invadens + B. papaya + B. philippinensis AICc = sample size corrected Akaike information criteria across 10 replicates, bold

Figshare2015-12-02 更新40

Data and Code for "Forecasting future crop disease and pest occurrences: insights from Japan's national surveys"

资源简介：

相关数据集