用于物种影响评估和环境决策支持的空间时间衍生的农田界限

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Elizabeth Anne Paulukonis¹, S Thomas Purucker²

¹Oak Ridge Institute of Science and Education, 109 TW Alexander Dr., Durham, NC 27709, United States.

The Science of the total environment

|December 13, 2024

概括

这项研究开发了一种使用卫星数据绘制农田地图的方法,改进了危物种的农药暴露评估. 该方法增强了农业景观中的生态风险分析.

科学领域:

环境科学环境科学
农业科学农业科学
地理空间分析是什么

背景情况:

农村景观是由农田分布所塑造的,这对于环境决策支持至关重要.
美国农业部的农田数据层 (CDL) 对于农药风险评估至关重要,但缺乏明确的领域界限,导致空间不确定性.
准确的田间划界对于多时间作物监测和生态风险评估至关重要.

研究的目的:

开发和测试一种使用CDL时间序列数据划分农田的新方法.
提高农业景观中危物种风险评估的空间准确性.
为了证明现场划界对于重建过去的农药暴露的实用性.

主要方法:

使用了2008-2021年农田数据层 (CDL) 时间序列数据来划定田间边界.
开发了一种与危物种风险评估相关的规模空间分析方法.
与定量作物数据对划分的田地进行了验证,并将其用于案例研究.

主要成果:

成功地划出了集成CDL作物分布模式的田间边界.
衍生指标与农业地区报告的作物指标密切匹配.
该方法被证明是有效的重建非标物种的历史农药暴露.

结论:

开发的现场划分方法增强了CDL数据对生态风险评估的有用性.
这种方法为大规模CDL现场划分提供了有价值的框架,支持保护工作.
改善农田的空间数据有助于环境风险评估和物种保护.

关键词:

农业领域的界限农业领域的界限农田数据层是农田的数据层.生态风险评估评估生态风险评估危物种危物种危物种地理信息系统 (GIS) 是一个农药的暴露农药的暴露

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