阿根廷作物序列的特征。空间分布和决定因素

IF 6.1 1区 农林科学 Q1 AGRICULTURE, MULTIDISCIPLINARY Agricultural Systems Pub Date : 2024-07-17 DOI:10.1016/j.agsy.2024.104069
Diego de Abelleyra , Santiago Banchero , Santiago Verón
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引用次数: 0

摘要

目的描述阿根廷的作物序列,并分析其与社会经济和环境变量相关的空间分布模式。方法从四个生长季生成的连续作物类型图中得出了多个作物序列指数。结果与结论与之前使用粗分辨率或点数据的报告相比,最常见的作物序列包括大豆、玉米和冬季谷物轮作。在降水量较少的地方和阿根廷中部农业带的种植密度较低,环境限制较少。高频率种植早熟大豆的情况,包括四年单一种植的情况,也集中在农业带附近。在港口附近和地籍单位规模较小的农场中,这种情况更为常见。在港口附近观察到的谷物序列数量较多,但以较大的地籍单元为佳。与低资本化农民有关的小地籍单位更不愿意承租。与港口的距离越短,船队成本就越低,毛利率就越高,这一点在考虑到额外的租赁成本时尤为重要。 意义这项研究在阿根廷轮作和单一种植等过程的实际发生地,即田间地头,描述了这些过程的特征,与之前的报告相比,改进了这些过程的量化。研究结果表明,作物集约化受到降水量的限制,在没有环境限制的地区,种植决定和作物序列的确定受到社会因素的显著影响。这些信息有助于制定公共政策,以平衡全县农民的成本,促进当地农用工业的发展,并开发公路运输的替代运输方案。不鼓励租用土地的激励措施,尤其是对小农户而言,可以通过增加轮作来促进长期规划。
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Characterization of crop sequences in Argentina. Spatial distribution and determinants

CONTEXT

New availability of annual crop type maps in Argentina allows the characterization of crop sequences at field level and the quantification of the occurrence of processes like crop monoculture and rotation.

OBJECTIVE

characterization of crop sequences in Argentina and analysis of their spatial distribution patterns in relation to socioeconomic and environmental variables.

METHODS

Several crop sequence indices were derived from consecutive crop type maps generated over four growing seasons. Occurrence of different crop sequences was evaluated in relation to spatially explicit information of distance to ports, cadastral unit size (as a measure of farmer's capitalization), mean annual precipitation, mean annual temperature and soil organic carbon.

RESULTS AND CONCLUSIONS

Contrasting to previous reports performed with coarse resolution or point data, most frequent sequences included rotation of soybean, maize and winter cereal crops. Lower cropping intensities were observed both in places with low precipitation and clustered in the agricultural belt in Center Argentina with few environmental limitations. Cases with high frequency of early soybean in the sequence, including cases of four years of monoculture, were also clustered also around the agricultural belt. They were more frequent near to ports and over small cadastral unit size farms. Higher number of cereals in the sequence was observed near ports but preferably over larger cadastral units. Small cadastral units, related to low capitalized farmers, are more averse to tenancy. Shorter distances to ports reduce the fleet cost incrementing the gross margin, being particularly relevant when the additional cost of tenancy is considered.

SIGNIFICANCE

This works characterized processes like rotation and monoculture in Argentina at the level where they really occur that is field level, improving the quantification of these processes in relation to previous reports. Results showed limitations to crop intensification related to precipitation availability, and a notable influence of social aspects in the decision of planting and the definition of the crop sequences in areas with no environmental limitations. This information can contribute to the development of public policies in relation to equilibrate the costs for farmers distributed along the county, promoting local agro-industries and developing alternative transportation options to road transport. Incentives to discourage renting the land, especially for small farmers, can promote long term planning with increased crop rotation.

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来源期刊
Agricultural Systems
Agricultural Systems 农林科学-农业综合
CiteScore
13.30
自引率
7.60%
发文量
174
审稿时长
30 days
期刊介绍: Agricultural Systems is an international journal that deals with interactions - among the components of agricultural systems, among hierarchical levels of agricultural systems, between agricultural and other land use systems, and between agricultural systems and their natural, social and economic environments. The scope includes the development and application of systems analysis methodologies in the following areas: Systems approaches in the sustainable intensification of agriculture; pathways for sustainable intensification; crop-livestock integration; farm-level resource allocation; quantification of benefits and trade-offs at farm to landscape levels; integrative, participatory and dynamic modelling approaches for qualitative and quantitative assessments of agricultural systems and decision making; The interactions between agricultural and non-agricultural landscapes; the multiple services of agricultural systems; food security and the environment; Global change and adaptation science; transformational adaptations as driven by changes in climate, policy, values and attitudes influencing the design of farming systems; Development and application of farming systems design tools and methods for impact, scenario and case study analysis; managing the complexities of dynamic agricultural systems; innovation systems and multi stakeholder arrangements that support or promote change and (or) inform policy decisions.
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