土壤水分信息改善了美国农业部牲畜饲草灾难计划提供的干旱风险保护

IF 6.9 1区 地球科学 Q1 METEOROLOGY & ATMOSPHERIC SCIENCES
Erik S Krueger, Tyson E Ochsner, B Wade Brorsen
{"title":"土壤水分信息改善了美国农业部牲畜饲草灾难计划提供的干旱风险保护","authors":"Erik S Krueger, Tyson E Ochsner, B Wade Brorsen","doi":"10.1175/bams-d-23-0087.1","DOIUrl":null,"url":null,"abstract":"Abstract The USDA Livestock Forage Disaster Program (LFP) offers financial assistance to farmers and ranchers with grazed forage losses caused by fire or drought. Payments for drought losses are based on the United States Drought Monitor (USDM), which is designed to integrate meteorological, agricultural, hydrological, ecological, and socioeconomic drought. Because soil moisture deficit is a more specific measure of agricultural drought, we hypothesized that basing LFP payments on soil moisture observations could better reduce producers’ risk. Therefore, our objectives were to (1) quantify relationships of forage yield with USDM-based LFP payment multipliers and with in situ soil moisture, (2) develop an alternative LFP payment multiplier structure based on in situ soil moisture, and (3) quantify risk reduction using the current and alternative payment structures. We focused on Oklahoma, USA, which has led the nation in LFP payments received and has >25 years of in situ soil moisture observations statewide. Using non-alfalfa hay yield as a surrogate for forage production, we found that LFP payment multiplier values and soil moisture anomaly were each related to yield, and soil moisture anomaly explained 54% of yield variability. However, the USDM-based LFP payment structure sometimes resulted in payments for above average yield, and higher payments did not always correspond with greater yield losses. We developed an alternative soil moisture-based payment structure that reduced financial risk by >20% compared with the current USDM-based structure. Our study identifies an improved LFP payment structure for Oklahoma that can be evaluated and refined in other states or nationwide using other soil moisture data sources.","PeriodicalId":9464,"journal":{"name":"Bulletin of the American Meteorological Society","volume":null,"pages":null},"PeriodicalIF":6.9000,"publicationDate":"2024-04-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Soil Moisture Information Improves Drought Risk Protection Provided by the USDA Livestock Forage Disaster Program\",\"authors\":\"Erik S Krueger, Tyson E Ochsner, B Wade Brorsen\",\"doi\":\"10.1175/bams-d-23-0087.1\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Abstract The USDA Livestock Forage Disaster Program (LFP) offers financial assistance to farmers and ranchers with grazed forage losses caused by fire or drought. Payments for drought losses are based on the United States Drought Monitor (USDM), which is designed to integrate meteorological, agricultural, hydrological, ecological, and socioeconomic drought. Because soil moisture deficit is a more specific measure of agricultural drought, we hypothesized that basing LFP payments on soil moisture observations could better reduce producers’ risk. Therefore, our objectives were to (1) quantify relationships of forage yield with USDM-based LFP payment multipliers and with in situ soil moisture, (2) develop an alternative LFP payment multiplier structure based on in situ soil moisture, and (3) quantify risk reduction using the current and alternative payment structures. We focused on Oklahoma, USA, which has led the nation in LFP payments received and has >25 years of in situ soil moisture observations statewide. Using non-alfalfa hay yield as a surrogate for forage production, we found that LFP payment multiplier values and soil moisture anomaly were each related to yield, and soil moisture anomaly explained 54% of yield variability. However, the USDM-based LFP payment structure sometimes resulted in payments for above average yield, and higher payments did not always correspond with greater yield losses. We developed an alternative soil moisture-based payment structure that reduced financial risk by >20% compared with the current USDM-based structure. Our study identifies an improved LFP payment structure for Oklahoma that can be evaluated and refined in other states or nationwide using other soil moisture data sources.\",\"PeriodicalId\":9464,\"journal\":{\"name\":\"Bulletin of the American Meteorological Society\",\"volume\":null,\"pages\":null},\"PeriodicalIF\":6.9000,\"publicationDate\":\"2024-04-12\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Bulletin of the American Meteorological Society\",\"FirstCategoryId\":\"89\",\"ListUrlMain\":\"https://doi.org/10.1175/bams-d-23-0087.1\",\"RegionNum\":1,\"RegionCategory\":\"地球科学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q1\",\"JCRName\":\"METEOROLOGY & ATMOSPHERIC SCIENCES\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Bulletin of the American Meteorological Society","FirstCategoryId":"89","ListUrlMain":"https://doi.org/10.1175/bams-d-23-0087.1","RegionNum":1,"RegionCategory":"地球科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"METEOROLOGY & ATMOSPHERIC SCIENCES","Score":null,"Total":0}
引用次数: 0

摘要

摘要 美国农业部牲畜饲草灾害计划 (LFP) 向因火灾或干旱造成放牧饲草损失的农民和牧场主提供经济援助。干旱损失赔偿以美国干旱监测(USDM)为基础,该监测旨在综合气象、农业、水文、生态和社会经济方面的干旱情况。由于土壤墒情不足是衡量农业干旱的一个更具体的指标,我们假设根据土壤墒情观测结果支付 LFP 费用可以更好地降低生产者的风险。因此,我们的目标是:(1) 量化牧草产量与基于 USDM 的 LFP 支付乘数以及与原位土壤水分之间的关系;(2) 开发基于原位土壤水分的替代 LFP 支付乘数结构;(3) 量化使用当前和替代支付结构降低的风险。我们将重点放在美国俄克拉荷马州,该州获得的土地覆被率付款居全国之首,并在全州范围内拥有超过 25 年的原位土壤水分观测数据。使用非紫花苜蓿干草产量作为饲草产量的替代物,我们发现 LFP 支付乘数值和土壤水分异常值均与产量有关,土壤水分异常值可解释 54% 的产量变化。然而,基于 USDM 的 LFP 支付结构有时会导致支付高于平均产量的费用,而且较高的支付并不总是与较大的产量损失相对应。我们开发了另一种基于土壤湿度的付款结构,与目前基于 USDM 的结构相比,可将财务风险降低 20%。我们的研究为俄克拉荷马州确定了一种改进的 LFP 支付结构,可在其他州或全国范围内使用其他土壤水分数据源进行评估和改进。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Soil Moisture Information Improves Drought Risk Protection Provided by the USDA Livestock Forage Disaster Program
Abstract The USDA Livestock Forage Disaster Program (LFP) offers financial assistance to farmers and ranchers with grazed forage losses caused by fire or drought. Payments for drought losses are based on the United States Drought Monitor (USDM), which is designed to integrate meteorological, agricultural, hydrological, ecological, and socioeconomic drought. Because soil moisture deficit is a more specific measure of agricultural drought, we hypothesized that basing LFP payments on soil moisture observations could better reduce producers’ risk. Therefore, our objectives were to (1) quantify relationships of forage yield with USDM-based LFP payment multipliers and with in situ soil moisture, (2) develop an alternative LFP payment multiplier structure based on in situ soil moisture, and (3) quantify risk reduction using the current and alternative payment structures. We focused on Oklahoma, USA, which has led the nation in LFP payments received and has >25 years of in situ soil moisture observations statewide. Using non-alfalfa hay yield as a surrogate for forage production, we found that LFP payment multiplier values and soil moisture anomaly were each related to yield, and soil moisture anomaly explained 54% of yield variability. However, the USDM-based LFP payment structure sometimes resulted in payments for above average yield, and higher payments did not always correspond with greater yield losses. We developed an alternative soil moisture-based payment structure that reduced financial risk by >20% compared with the current USDM-based structure. Our study identifies an improved LFP payment structure for Oklahoma that can be evaluated and refined in other states or nationwide using other soil moisture data sources.
求助全文
通过发布文献求助,成功后即可免费获取论文全文。 去求助
来源期刊
CiteScore
9.80
自引率
6.20%
发文量
231
审稿时长
6-12 weeks
期刊介绍: The Bulletin of the American Meteorological Society (BAMS) is the flagship magazine of AMS and publishes articles of interest and significance for the weather, water, and climate community as well as news, editorials, and reviews for AMS members.
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
确定
请完成安全验证×
copy
已复制链接
快去分享给好友吧!
我知道了
右上角分享
点击右上角分享
0
联系我们:info@booksci.cn Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。 Copyright © 2023 布克学术 All rights reserved.
京ICP备2023020795号-1
ghs 京公网安备 11010802042870号
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术官方微信