Shanelle Trail , Maryfrances Miller , Frank A. Ward
{"title":"在价格和气候压力下优化牧场牲畜放牧的经济效益","authors":"Shanelle Trail , Maryfrances Miller , Frank A. Ward","doi":"10.1016/j.rama.2024.02.003","DOIUrl":null,"url":null,"abstract":"<div><p>Livestock grazing is the most economically important use of rangeland ecosystems in many parts of the world. An extensive body of literature has investigated livestock grazing plans that are economically optimal or ecologically sustainable. This paper's contribution to the literature is development and application of an empirical mathematical programming model for optimizing the economic performance of livestock grazing on rangeland ecosystems for a wide array of vegetation biomes, forage productivity levels, and economic conditions. The model is calibrated to replicate historically observed data for select counties, in which predictions of the income optimization model match available data on county-wide forage, animal performance, grazing pressure, stocking level, and net income. Results show how climate stress and economic conditions affect the economically optimized choice of stocking rates and net income for 18 observed conditions and 126 potential conditions for six counties in the Intermountain West and Mediterranean western US. While findings show optimized outcomes for a large set of conditions in that region, the methods developed here have potential application to rangeland ecosystems internationally wherever data required by the model can be secured. The modeling results provide insight and utility for ranchers, scientists, and policymakers who seek economically optimal rangeland ecosystem outcomes.</p></div>","PeriodicalId":49634,"journal":{"name":"Rangeland Ecology & Management","volume":"94 ","pages":"Pages 48-63"},"PeriodicalIF":2.4000,"publicationDate":"2024-03-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Optimizing Economic Performance of Rangeland Livestock Grazing Under Price and Climate Stressors\",\"authors\":\"Shanelle Trail , Maryfrances Miller , Frank A. Ward\",\"doi\":\"10.1016/j.rama.2024.02.003\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<div><p>Livestock grazing is the most economically important use of rangeland ecosystems in many parts of the world. An extensive body of literature has investigated livestock grazing plans that are economically optimal or ecologically sustainable. This paper's contribution to the literature is development and application of an empirical mathematical programming model for optimizing the economic performance of livestock grazing on rangeland ecosystems for a wide array of vegetation biomes, forage productivity levels, and economic conditions. The model is calibrated to replicate historically observed data for select counties, in which predictions of the income optimization model match available data on county-wide forage, animal performance, grazing pressure, stocking level, and net income. Results show how climate stress and economic conditions affect the economically optimized choice of stocking rates and net income for 18 observed conditions and 126 potential conditions for six counties in the Intermountain West and Mediterranean western US. While findings show optimized outcomes for a large set of conditions in that region, the methods developed here have potential application to rangeland ecosystems internationally wherever data required by the model can be secured. The modeling results provide insight and utility for ranchers, scientists, and policymakers who seek economically optimal rangeland ecosystem outcomes.</p></div>\",\"PeriodicalId\":49634,\"journal\":{\"name\":\"Rangeland Ecology & Management\",\"volume\":\"94 \",\"pages\":\"Pages 48-63\"},\"PeriodicalIF\":2.4000,\"publicationDate\":\"2024-03-07\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Rangeland Ecology & Management\",\"FirstCategoryId\":\"93\",\"ListUrlMain\":\"https://www.sciencedirect.com/science/article/pii/S1550742424000137\",\"RegionNum\":3,\"RegionCategory\":\"环境科学与生态学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q2\",\"JCRName\":\"ECOLOGY\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Rangeland Ecology & Management","FirstCategoryId":"93","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S1550742424000137","RegionNum":3,"RegionCategory":"环境科学与生态学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q2","JCRName":"ECOLOGY","Score":null,"Total":0}
Optimizing Economic Performance of Rangeland Livestock Grazing Under Price and Climate Stressors
Livestock grazing is the most economically important use of rangeland ecosystems in many parts of the world. An extensive body of literature has investigated livestock grazing plans that are economically optimal or ecologically sustainable. This paper's contribution to the literature is development and application of an empirical mathematical programming model for optimizing the economic performance of livestock grazing on rangeland ecosystems for a wide array of vegetation biomes, forage productivity levels, and economic conditions. The model is calibrated to replicate historically observed data for select counties, in which predictions of the income optimization model match available data on county-wide forage, animal performance, grazing pressure, stocking level, and net income. Results show how climate stress and economic conditions affect the economically optimized choice of stocking rates and net income for 18 observed conditions and 126 potential conditions for six counties in the Intermountain West and Mediterranean western US. While findings show optimized outcomes for a large set of conditions in that region, the methods developed here have potential application to rangeland ecosystems internationally wherever data required by the model can be secured. The modeling results provide insight and utility for ranchers, scientists, and policymakers who seek economically optimal rangeland ecosystem outcomes.
期刊介绍:
Rangeland Ecology & Management publishes all topics-including ecology, management, socioeconomic and policy-pertaining to global rangelands. The journal''s mission is to inform academics, ecosystem managers and policy makers of science-based information to promote sound rangeland stewardship. Author submissions are published in five manuscript categories: original research papers, high-profile forum topics, concept syntheses, as well as research and technical notes.
Rangelands represent approximately 50% of the Earth''s land area and provision multiple ecosystem services for large human populations. This expansive and diverse land area functions as coupled human-ecological systems. Knowledge of both social and biophysical system components and their interactions represent the foundation for informed rangeland stewardship. Rangeland Ecology & Management uniquely integrates information from multiple system components to address current and pending challenges confronting global rangelands.