Spatio-temporal stability of micro-dams as mitigation measures and disconnective elements to water erosion in potato farming

IF 6.6 1区 农林科学 Q1 SOIL SCIENCE
Matthias Konzett, Thomas Brunner, Peter Strauss, Elmar M. Schmaltz
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Abstract

Micro-dams in potato fields help reduce surface runoff and soil loss. This study evaluated their stability by examining the effects of topography, rainfall intensity, and cover crops on failure mechanisms. Micro-dams were categorized as either without cover crops (MD) or with cover crops (MD + CC), which acted as potential stabilizing factors. Field observations and UAV imagery were taken from five potato fields in Northeast Austria to create a spatio-temporal inventory of failed micro-dams. The UAV imagery enabled the construction of Digital Elevation Models (DEM) for all observations, with failure detected through an automatic routine and compared to in-field mapping. Various topographic factors, such as slope steepness and the Topographic Wetness Index (TWI), were used to classify micro-dams into stable, damaged, or broken states. Rainfall intensities were calculated to compare triggering events, and a Generalized Additive Model (GAM) assessed the resilience of micro-dams across Austria’s main potato production areas. Results indicated that MD + CC were 20 % less likely to break (OR = 0.31, 95 % CI: 0.24 – 0.41, p < 0.001), showcasing a higher proportion of stable micro-dams. These differences were significant among all state classes. MD + CC exhibited both damaged and stable micro-dams in topographic areas where standard MD had failed. The GAM results also pointed to a more sustainable performance for MD + CC. While an exact rainfall intensity threshold for failure was not established, specific conditions (53 mm total rainfall and 27.7 mm h−1 intensity) were identified as indicative until future research is undertaken.
微坝作为马铃薯种植水土流失缓解措施的时空稳定性及分离因素
马铃薯地里的微型水坝有助于减少地表径流和土壤流失。本研究通过考察地形、降雨强度和覆盖作物对破坏机制的影响来评估其稳定性。微坝分为无覆盖作物(MD)和有覆盖作物(MD + CC)两种类型,后者是潜在的稳定因子。在奥地利东北部的五个马铃薯田进行了实地观测和无人机成像,以创建失败的微型水坝的时空清单。无人机图像能够为所有观测构建数字高程模型(DEM),通过自动例行程序检测故障,并与现场测绘进行比较。利用各种地形因素,如坡度和地形湿度指数(TWI),将微坝划分为稳定、破坏和破碎状态。通过计算降雨强度来比较触发事件,并使用广义加性模型(GAM)评估了奥地利主要马铃薯产区的微型水坝的恢复能力。结果表明,MD + CC的溃坝可能性降低20% (OR = 0.31, 95% CI: 0.24 - 0.41, p < 0.001),表明稳定的微坝比例更高。这些差异在所有状态类中都是显著的。在标准MD破坏的地形区域,MD + CC同时表现出破坏和稳定的微坝。GAM的结果还指出,MD + CC的性能更具可持续性。虽然没有建立准确的降雨强度阈值,但在未来的研究进行之前,确定了特定条件(总降雨量53毫米和27.7毫米h - 1强度)作为指示性。
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来源期刊
Geoderma
Geoderma 农林科学-土壤科学
CiteScore
11.80
自引率
6.60%
发文量
597
审稿时长
58 days
期刊介绍: Geoderma - the global journal of soil science - welcomes authors, readers and soil research from all parts of the world, encourages worldwide soil studies, and embraces all aspects of soil science and its associated pedagogy. The journal particularly welcomes interdisciplinary work focusing on dynamic soil processes and functions across space and time.
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