美国毗连地区主要土地资源区(MLRA)作物序列复杂性

IF 6.4 1区 农林科学 Q1 AGRICULTURE, MULTIDISCIPLINARY
Craig W. Whippo , Ellen Coale , C. Igathinathane , Lucas Heintzman , Claire Friedrichsen , David W. Archer
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引用次数: 0

摘要

量化作物序列的时空动态通常是通过作物生物多样性指标来实现的。现有的指标被作物序列长度、子序列重复和多年生化所混淆。我们的目标是制定一个作物序列复杂性指数(CSCI),该指数考虑了作物序列长度、作物序列可压缩性、功能类型转换和背靠背多年生植物的差异。此外,我们绘制了作物序列指标在连续美国(CONUS)的分布。利用美国农业部国家农业科学院(USDA-NASS) 2008 - 2015年和2016-2023年两个时期的作物序列边界数据,对2008 - 2023年间1350万个田间质心的16年作物序列进行了汇总,并计算了主要土地资源区(MLRA)汇总的作物序列指标。我们还研究了作物序列复杂性指标之间的相关性。与轮作复杂性指数(RCI)相比,CSCI与作物序列长度和背靠背多年生植物数量的相关性较低。因此,在玉米带、密西西比河流域和大平原南部等以一年生种植为主的地区,RCI往往较低,而美国西南部灌溉地区的RCI最高。相比之下,CSCI在大平原北部最高,在大平原南部最低,在CONUS大部分地区处于中间值。CONUS的作物序列通常由非常有限的物种组成。然而,作物序列的复杂性差异很大,因为序列如何排序功能类型转换和多年生化。虽然生物物理限制很重要,但社会经济因素推动了作物序列的复杂性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Crop sequence complexity of the major land resource areas (MLRA) in the contiguous United States (CONUS)
Quantifying spatial and temporal dynamics of crop sequences is often accomplished through crop biodiversity metrics. Existing metrics are confounded by crop sequence length, subsequence repetition, and perennialization. Our objective was to formulate a Crop Sequence Complexity Index (CSCI) that accounts for differences in crop sequence lengths, crop sequence compressibility, functional type transitions, and back-to-back perennials. Additionally, we mapped the distribution of crop sequence metrics across the Contiguous United States (CONUS). We joined Crop Sequence Boundary data from the USDA-NASS for two periods: (2008–2015) and (2016–2023) to assemble the 16-year crop sequence of 13.5 million field centroids between 2008 and 2023 and calculated crop sequence metrics aggregated by Major Land Resource Areas (MLRA). We also examined the correlations among crop sequence complexity metrics. We found CSCI was less correlated with both crop sequence length and the number of back-to-back perennials in a crop sequence compared to the Rotational Complexity Index (RCI). Consequently, RCI tended to be lower in MLRA where annual cropping systems dominated, such as the Corn Belt, Mississippi River Basin, and southern Great Plains, and RCI was highest in the irrigated southwestern US. In contrast, CSCI was highest in the northern Great Plains and lowest in the southern Great Plains, with intermediate values throughout most of CONUS. Crop sequences in CONUS usually consist of a very limited number of species. However, crop sequence complexity varies widely because of how sequences ordered functional type transitions, and perennialization. While biophysical constraints are important, socioeconomic factors drive crop sequence complexity.
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来源期刊
Agriculture, Ecosystems & Environment
Agriculture, Ecosystems & Environment 环境科学-环境科学
CiteScore
11.70
自引率
9.10%
发文量
392
审稿时长
26 days
期刊介绍: Agriculture, Ecosystems and Environment publishes scientific articles dealing with the interface between agroecosystems and the natural environment, specifically how agriculture influences the environment and how changes in that environment impact agroecosystems. Preference is given to papers from experimental and observational research at the field, system or landscape level, from studies that enhance our understanding of processes using data-based biophysical modelling, and papers that bridge scientific disciplines and integrate knowledge. All papers should be placed in an international or wide comparative context.
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