Simulating sagebrush–cheatgrass plant community biomass production in the Great Basin using ALMANAC

IF 2 3区 农林科学 Q2 AGRONOMY
Crop Science Pub Date : 2024-12-13 DOI:10.1002/csc2.21440
Merilynn C. Schantz, James R. Kiniry, Amber S. Williams, Kelly R. Thorp, Beth Newingham, Stuart P. Hardegree, C. Jason Williams, Kirk W. Davies, Roger L. Sheley
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Abstract

Cheatgrass (Bromus tectorum) is a widespread species of concern throughout the western US, as it dominates many low-elevation rangelands and continues to spread annually. As a winter annual grass, however, cheatgrass can produce high-quality and cheap protein forage for livestock early in the growing season. Estimating biomass can lead to better management in these western United States and Great Basin plant communities. The present study was designed to evaluate the accuracy of biomass simulations in Great Basin plant communities using the process-based Agricultural Land Management Alternative with Numerical Assessment Criteria (ALMANAC) model as it simulates biomass production and competing species interactions. For this study, data were used from the Sagebrush Steppe Treatment Evaluation Project to simulate cheatgrass, perennial grass, forb, and sagebrush biomass across three community types: native, invaded, and a co-dominated community of sagebrush, perennial grasses, cheatgrass, and forbs at six representative Great Basin sites from 2006 to 2018. Our results indicated a strong relationship between simulated and measured biomass of total cheatgrass and perennial grasses across the three plant communities. Sagebrush and forb biomass were poorly simulated across most plant community types. Model accuracy also varied by site, largely depending on elevation. We saw high variability in simulated biomass across years, likely because of the single point-in-time measurements at peak biomass and the low biomass values of cheatgrass and forbs. Collectively, ALMANAC shows potential for assessing biomass production and plant interactions but will require more data and model development to fully comprehend its utility.

Abstract Image

利用ALMANAC模拟大盆地山艾草植物群落生物量生产
沙草(Bromus tectorum)是美国西部一种广泛存在的物种,因为它在许多低海拔的牧场上占主导地位,并且每年都在继续蔓延。作为一种冬季一年生牧草,草在生长季节早期就可以为家畜提供物美价廉的蛋白质饲料。估算生物量可以改善美国西部和大盆地植物群落的管理。本研究旨在利用基于过程的农业土地管理替代方案与数值评估标准(ALMANAC)模型来评估大流域植物群落生物量模拟的准确性,因为它模拟了生物量生产和竞争物种的相互作用。在这项研究中,使用了来自荞属草草原处理评估项目的数据,模拟了2006年至2018年6个代表性大盆地地点三种群落类型(原生、入侵和共占主导的荞属草、多年生草、欺骗草和牧草)的生物量。我们的研究结果表明,在三个植物群落中,总欺骗草和多年生草的模拟生物量和测量生物量之间存在很强的关系。在大多数植物群落类型中,山艾树和草本植物生物量模拟效果较差。模型精度也因地点而异,主要取决于海拔高度。我们看到,模拟生物量在多年间的变化很大,这可能是因为在峰值生物量的单时间点测量和欺骗草和forbs的低生物量值。总的来说,ALMANAC显示了评估生物质生产和植物相互作用的潜力,但需要更多的数据和模型开发来充分理解其效用。
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来源期刊
Crop Science
Crop Science 农林科学-农艺学
CiteScore
4.50
自引率
8.70%
发文量
197
审稿时长
3 months
期刊介绍: Articles in Crop Science are of interest to researchers, policy makers, educators, and practitioners. The scope of articles in Crop Science includes crop breeding and genetics; crop physiology and metabolism; crop ecology, production, and management; seed physiology, production, and technology; turfgrass science; forage and grazing land ecology and management; genomics, molecular genetics, and biotechnology; germplasm collections and their use; and biomedical, health beneficial, and nutritionally enhanced plants. Crop Science publishes thematic collections of articles across its scope and includes topical Review and Interpretation, and Perspectives articles.
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