Pub Date : 2023-06-01DOI: 10.1016/j.rala.2023.03.004
Savannah Warwick , John A. Tanaka , Anna T. Maher , Kristie Maczko , Timm Gergeni
•
Conservation advisors often want to know about the economics/profitability of soil health practices in grazing systems; however, relationships between soil health management and economic outcomes are lacking in grazing systems.
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We present a recent case study of California rangelands to demonstrate the challenges associated with determining economics/profitability of soil health practices in grazing systems.
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We found online tools available for researchers and conservation advisors to better understand soil health and forage production changes over time, but better on-the-ground information is still needed to estimate economic outcomes.
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Conservation groups and government agencies can play a role in quantifying economic outcomes by recording and sharing types of livestock management, length of management, and pre- and post-management soil health data.
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Pub Date : 2023-04-01DOI: 10.1016/j.rala.2023.03.001
Aaron N. Wold , Arjan J.H. Meddens , Katherine D. Lee , Vincent S. Jansen
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The amount of available summer forage for livestock is becoming more uncertain under a changing climate.
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Remote sensing estimates of herbaceous biomass production are becoming more readily available for managers and scientists, making assessments of available forage across large regions possible.
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We coupled remotely sensed forage estimates with a ranch-level economic model to assess the effects of drought (short and long term) on several key economic factors in the future.
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Our findings indicate forage productivity is tightly linked to mean annual temperature, vapor pressure deficit, and precipitation, and both drought scenarios resulted in significant economic effects at the ranch level (i.e., up to 32.1% losses in net income over a 40-year timespan).
•
Even though our established drought scenarios are hypothetical, the coupling of remote sensing data with economic models further increases the understanding of the effects of a changing climate on rangeland productivity and can ultimately improve implementation of adaptive rangeland management strategies.
{"title":"Quantifying the effects of vegetation productivity and drought scenarios on livestock production decisions and income","authors":"Aaron N. Wold , Arjan J.H. Meddens , Katherine D. Lee , Vincent S. Jansen","doi":"10.1016/j.rala.2023.03.001","DOIUrl":"https://doi.org/10.1016/j.rala.2023.03.001","url":null,"abstract":"<div><p> </p><ul><li><span>•</span><span><p>The amount of available summer forage for livestock is becoming more uncertain under a changing climate.</p></span></li><li><span>•</span><span><p><span>Remote sensing estimates of herbaceous </span>biomass production are becoming more readily available for managers and scientists, making assessments of available forage across large regions possible.</p></span></li><li><span>•</span><span><p>We coupled remotely sensed forage estimates with a ranch-level economic model to assess the effects of drought (short and long term) on several key economic factors in the future.</p></span></li><li><span>•</span><span><p>Our findings indicate forage productivity is tightly linked to mean annual temperature, vapor pressure deficit, and precipitation, and both drought scenarios resulted in significant economic effects at the ranch level (i.e., up to 32.1% losses in net income over a 40-year timespan).</p></span></li><li><span>•</span><span><p>Even though our established drought scenarios are hypothetical, the coupling of remote sensing data with economic models further increases the understanding of the effects of a changing climate on rangeland productivity and can ultimately improve implementation of adaptive rangeland management strategies.</p></span></li></ul></div>","PeriodicalId":101057,"journal":{"name":"Rangelands","volume":"45 2","pages":"Pages 21-32"},"PeriodicalIF":0.0,"publicationDate":"2023-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"49719612","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
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