Yajiaoxue Guo , Zhanxiang Sun , Wei Bai , Zhe Zhang , Yue Zhang , Hongjun Du , Tianran Sun , Jinyu Zhang , Pu Peng , Yafei Ji , Qian Cai , Zhi Dong , Xu Zhang , Liangshan Feng , Chen Feng , Lizhen Zhang
{"title":"基于作物模型和 SPEI 的玉米/花生间作干旱风险评估","authors":"Yajiaoxue Guo , Zhanxiang Sun , Wei Bai , Zhe Zhang , Yue Zhang , Hongjun Du , Tianran Sun , Jinyu Zhang , Pu Peng , Yafei Ji , Qian Cai , Zhi Dong , Xu Zhang , Liangshan Feng , Chen Feng , Lizhen Zhang","doi":"10.1016/j.agsy.2024.104144","DOIUrl":null,"url":null,"abstract":"<div><h3>Context</h3><div>Drought occurs frequently under climate change and is considered a huge threat especially for the rain-fed agricultural region. Intercropping systems are promoted as an adaptation to mitigate drought stress due to the interspecific complementarity of intercropped species and improved water use efficiency.</div></div><div><h3>Objective</h3><div>The aim of this study was to select a drought risk assessment model for maize/peanut strip intercropping to quantitatively evaluate whether intercropping can mitigate drought risk compared to sole stands, using the daily Standardized Precipitation Evapotranspiration Index (SPEI) for analysis.</div></div><div><h3>Methods</h3><div>The Agricultural Production Systems Simulator (APSIM) is widely used to assess the potential impacts of climate change on crop yield. In this study, we employed the APSIM model, integrated with a light interception model for strip intercrops, to quantify yield losses caused by crop droughts in four maize/peanut strip intercropping treatments from 1951 to 2020. Additionally, we developed physical vulnerability curves and the corresponding drought hazard indices.</div></div><div><h3>Results and conclusions</h3><div>Based on the drought risk assessment index, intercropping decreased drought risk by 2.16 % compared with sole stands across all testing row configurations. In this study, we found that maize/peanut strip intercropping reduced drought risk by 5.7 % over the past 35 years, outperforming the previous 35 years. We concluded that the intercropping could be a risk management strategy in rain-fed agriculture, and among the four tested intercropping systems, including 2 rows of maize and 2 rows of peanut, 4 rows of maize and 4 rows of peanut, 6 rows of maize and 6 rows of peanut, and 8 rows of maize and 8 rows of peanut, strip intercropping with 2 rows of maize and 2 rows of peanut was the best.</div></div><div><h3>Significance</h3><div>Our long-term simulations confirmed that intercropping could reduce drought risk in rain-fed agriculture under global climate change. Overall, this study introduces drought risk quantification methods in ecosystem biodiversity. However, further field experiments are still needed to explore the impact of resource competition on intercropping system performance. Additional data from other locations will enhance the spatial representation in future research. Future research should also combine crop physiology and ecological theories to study intercropping drought resistance from a crop mechanism perspective.</div></div>","PeriodicalId":7730,"journal":{"name":"Agricultural Systems","volume":"221 ","pages":"Article 104144"},"PeriodicalIF":6.1000,"publicationDate":"2024-10-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Drought risk assessment for maize/peanut intercropping based on crop model and SPEI\",\"authors\":\"Yajiaoxue Guo , Zhanxiang Sun , Wei Bai , Zhe Zhang , Yue Zhang , Hongjun Du , Tianran Sun , Jinyu Zhang , Pu Peng , Yafei Ji , Qian Cai , Zhi Dong , Xu Zhang , Liangshan Feng , Chen Feng , Lizhen Zhang\",\"doi\":\"10.1016/j.agsy.2024.104144\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<div><h3>Context</h3><div>Drought occurs frequently under climate change and is considered a huge threat especially for the rain-fed agricultural region. Intercropping systems are promoted as an adaptation to mitigate drought stress due to the interspecific complementarity of intercropped species and improved water use efficiency.</div></div><div><h3>Objective</h3><div>The aim of this study was to select a drought risk assessment model for maize/peanut strip intercropping to quantitatively evaluate whether intercropping can mitigate drought risk compared to sole stands, using the daily Standardized Precipitation Evapotranspiration Index (SPEI) for analysis.</div></div><div><h3>Methods</h3><div>The Agricultural Production Systems Simulator (APSIM) is widely used to assess the potential impacts of climate change on crop yield. In this study, we employed the APSIM model, integrated with a light interception model for strip intercrops, to quantify yield losses caused by crop droughts in four maize/peanut strip intercropping treatments from 1951 to 2020. Additionally, we developed physical vulnerability curves and the corresponding drought hazard indices.</div></div><div><h3>Results and conclusions</h3><div>Based on the drought risk assessment index, intercropping decreased drought risk by 2.16 % compared with sole stands across all testing row configurations. In this study, we found that maize/peanut strip intercropping reduced drought risk by 5.7 % over the past 35 years, outperforming the previous 35 years. We concluded that the intercropping could be a risk management strategy in rain-fed agriculture, and among the four tested intercropping systems, including 2 rows of maize and 2 rows of peanut, 4 rows of maize and 4 rows of peanut, 6 rows of maize and 6 rows of peanut, and 8 rows of maize and 8 rows of peanut, strip intercropping with 2 rows of maize and 2 rows of peanut was the best.</div></div><div><h3>Significance</h3><div>Our long-term simulations confirmed that intercropping could reduce drought risk in rain-fed agriculture under global climate change. Overall, this study introduces drought risk quantification methods in ecosystem biodiversity. However, further field experiments are still needed to explore the impact of resource competition on intercropping system performance. Additional data from other locations will enhance the spatial representation in future research. Future research should also combine crop physiology and ecological theories to study intercropping drought resistance from a crop mechanism perspective.</div></div>\",\"PeriodicalId\":7730,\"journal\":{\"name\":\"Agricultural Systems\",\"volume\":\"221 \",\"pages\":\"Article 104144\"},\"PeriodicalIF\":6.1000,\"publicationDate\":\"2024-10-09\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Agricultural Systems\",\"FirstCategoryId\":\"97\",\"ListUrlMain\":\"https://www.sciencedirect.com/science/article/pii/S0308521X24002944\",\"RegionNum\":1,\"RegionCategory\":\"农林科学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q1\",\"JCRName\":\"AGRICULTURE, MULTIDISCIPLINARY\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Agricultural Systems","FirstCategoryId":"97","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S0308521X24002944","RegionNum":1,"RegionCategory":"农林科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"AGRICULTURE, MULTIDISCIPLINARY","Score":null,"Total":0}
Drought risk assessment for maize/peanut intercropping based on crop model and SPEI
Context
Drought occurs frequently under climate change and is considered a huge threat especially for the rain-fed agricultural region. Intercropping systems are promoted as an adaptation to mitigate drought stress due to the interspecific complementarity of intercropped species and improved water use efficiency.
Objective
The aim of this study was to select a drought risk assessment model for maize/peanut strip intercropping to quantitatively evaluate whether intercropping can mitigate drought risk compared to sole stands, using the daily Standardized Precipitation Evapotranspiration Index (SPEI) for analysis.
Methods
The Agricultural Production Systems Simulator (APSIM) is widely used to assess the potential impacts of climate change on crop yield. In this study, we employed the APSIM model, integrated with a light interception model for strip intercrops, to quantify yield losses caused by crop droughts in four maize/peanut strip intercropping treatments from 1951 to 2020. Additionally, we developed physical vulnerability curves and the corresponding drought hazard indices.
Results and conclusions
Based on the drought risk assessment index, intercropping decreased drought risk by 2.16 % compared with sole stands across all testing row configurations. In this study, we found that maize/peanut strip intercropping reduced drought risk by 5.7 % over the past 35 years, outperforming the previous 35 years. We concluded that the intercropping could be a risk management strategy in rain-fed agriculture, and among the four tested intercropping systems, including 2 rows of maize and 2 rows of peanut, 4 rows of maize and 4 rows of peanut, 6 rows of maize and 6 rows of peanut, and 8 rows of maize and 8 rows of peanut, strip intercropping with 2 rows of maize and 2 rows of peanut was the best.
Significance
Our long-term simulations confirmed that intercropping could reduce drought risk in rain-fed agriculture under global climate change. Overall, this study introduces drought risk quantification methods in ecosystem biodiversity. However, further field experiments are still needed to explore the impact of resource competition on intercropping system performance. Additional data from other locations will enhance the spatial representation in future research. Future research should also combine crop physiology and ecological theories to study intercropping drought resistance from a crop mechanism perspective.
期刊介绍:
Agricultural Systems is an international journal that deals with interactions - among the components of agricultural systems, among hierarchical levels of agricultural systems, between agricultural and other land use systems, and between agricultural systems and their natural, social and economic environments.
The scope includes the development and application of systems analysis methodologies in the following areas:
Systems approaches in the sustainable intensification of agriculture; pathways for sustainable intensification; crop-livestock integration; farm-level resource allocation; quantification of benefits and trade-offs at farm to landscape levels; integrative, participatory and dynamic modelling approaches for qualitative and quantitative assessments of agricultural systems and decision making;
The interactions between agricultural and non-agricultural landscapes; the multiple services of agricultural systems; food security and the environment;
Global change and adaptation science; transformational adaptations as driven by changes in climate, policy, values and attitudes influencing the design of farming systems;
Development and application of farming systems design tools and methods for impact, scenario and case study analysis; managing the complexities of dynamic agricultural systems; innovation systems and multi stakeholder arrangements that support or promote change and (or) inform policy decisions.