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ZENODO
Dataset . 2025
License: CC BY
Data sources: ZENODO
ZENODO
Dataset . 2025
License: CC BY
Data sources: Datacite
ZENODO
Dataset . 2025
License: CC BY
Data sources: Datacite
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Extreme Dry-Heat Climate Impacts on Greenhouse Gas Emission Intensity in Wheat Production: Insights and Mitigation Strategies

Authors: Shi, Yu;

Extreme Dry-Heat Climate Impacts on Greenhouse Gas Emission Intensity in Wheat Production: Insights and Mitigation Strategies

Abstract

This repository contains the data and code supporting the findings of the article:“Extreme Dry-Heat Climate Impacts on Greenhouse Gas Emission Intensity in Wheat Production: Insights and Mitigation Strategies”Yu Shi, Shufen Pan, Yongfa You, Stephen A. Prior, Di Tian, Huiqian Yu, Qiang Yu, Hanqin Tian All analyses and results presented in the manuscript can be fully reproduced using the materials provided herein.Repository structureThe repository is organized as follows:• /CodeContains all analysis scripts, primarily written in R, used for data processing, statistical analysis, modeling, and figure generation (except for figures created in external software; see below).• /ObservationsIncludes raw and processed observational data, such as measured yield and greenhouse gas emissions.• /WeatherProvides weather and climate-related data used in the analysis, including extreme dry-heat stress indicators.• /Simulated yield_GHG_GHGI sensitivityContains outputs from simulation experiments analyzing the sensitivity of yield, GHG emissions, and GHGI under different climatic conditions.• /Tillage effectsIncludes data and results related to the effects of tillage practices on emission intensity and crop performance.Notes on figure generationPlease note that certain figures were generated using external software, including ArcGIS, Origin, or Excel, through direct statistical analysis or visualization. These figures are not accompanied by code in this repository.Data and code availabilityAll datasets and scripts required to reproduce the main results of the study are included. File names and directory structures are clearly labeled and correspond to the relevant sections in the manuscript.ContactFor any questions regarding the data or code, please contact the first author (Yushi, shiyu174274@163.com) or the corresponding author (Hanqin Tian, hanqin.tian@bc.edu).

Keywords

Sensitivity, Dry-heat conditions, wheat, Greenhouse gas emissions, Crop yield, Tillage

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
0
Average
Average
Average