关于厄瓜多尔作物系统和理论作物残留潜力的空间数据集
Christhel Andrade Díaz1,2, Ezequiel Zamora-Ledezma3, Lorie Hamelin1
1Toulouse Biotechnology Institute (TBI), INSA, INRAE UMR792, and CNRS UMR5504, Federal University of Toulouse, 135 Avenue de Rangueil, F-31077 Toulouse, France.
Data in brief
|August 8, 2025
概括
这个数据集绘制了厄瓜多尔的作物系统和土壤条件,以建模土壤有机碳 (SOC) 和规划生物质资源. 它为热带地区的可持续土地利用和气候智能农业提供了关键数据.
科学领域:
- 农业科学 农业科学
- 环境科学 环境科学
- 土壤科学 土壤科学
背景情况:
- 厄瓜多尔的农业部门缺乏用于土壤有机碳 (SOC) 建模和生物质资源规划的高分辨率数据.
- 了解作物系统和土壤气候条件对于可持续的土地管理和适应气候变化至关重要.
研究的目的:
- 创建一个高分辨率的,对厄瓜多尔作物系统和土壤气候条件的空间显式基线数据集.
- 支持长期SOC动态建模和生物质资源规划.
- 在热带农业系统中为气候智能化土地利用战略提供信息.
主要方法:
- 从2002-2019年的厄瓜多尔农业统计和作物生产调查中编制的数据.
- 在23,021个农业农地气候单位 (APCU) 中描述了10种主要作物.
- 综合的理论收获作物残留潜力,碳输入和SOC相关参数.
- 根据RCP4.5情景,从2020年至2070年纳入每月气候预测 (温度,降雨,蒸发).
主要成果:
- 开发了一个全面的数据集,详细说明了每个APCU的作物残留潜力,生物质组成和SOC参数.
- 量化残留与产品的比率 (RPR),根与芽的生物质比率 (R:S),以及生物质与碳的转换系数.
- 提供了与农业规划相关的空间明确的月度气候预测.
结论:
- 开放式访问数据集是土壤碳模型框架的关键资源.
- 它有助于设计有效的生物质动员策略.
- 在厄瓜多尔农业部门提供基于证据的,气候智能的土地利用规划信息.
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