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首页> 外文期刊>Agriculture, Ecosystems & Environment: An International Journal for Scientific Research on the Relationship of Agriculture and Food Production to the Biosphere >Diverse sensitivity of winter crops over the growing season to climate and land surface temperature across the rainfed cropland-belt of eastern Australia
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Diverse sensitivity of winter crops over the growing season to climate and land surface temperature across the rainfed cropland-belt of eastern Australia

机译：在澳大利亚东部雨水农田带上的生长季节冬季作物的不同敏感性

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Highlights?A new perspective to quantify the observed impacts of climate variability on crops across rainfed cropland is provided.?MODIS EVI is able to illustrate crop growth cycles and productivity in broad-acre rainfed cropping systems.?LST was demonstrated to be an effective integration of the complex interactions among the climate-driving factors.?The two key 8-day time ‘windows’ were identified for the eastern Australian rainfed cropland-belt.The rainfed cropland belt in Australia is of great importance to the world grain market but has the highest climate variability of all such regions globally. However, the spatial-temporal impacts of climate variability on crops during different crop growth stages across broadacre farming systems are largely unknown. This study aims to quantify the contributions of climate and Land Surface Temperature (LST) variations to the variability of the Enhanced Vegetation Index (EVI) by using remote sensing methods. The datasets were analyzed at an 8-day time-scale across the rainfed cropland of eastern Australia. First, we found that EVI values were more variable during the crop reproductive growth stages than at any other crop life stage within a calendar year, but nevertheless had the highest correlation with crop grain yield (tha?1). Second, climate factors and LST during the crop reproductive growth stages showed the largest variability and followed a typical east-west gradient of rainfall and a north-south temperature gradient across the study area during the crop growing season. Last, we identified two critical 8-day periods, beginning on day of the year (DoY) 257 and 289, as the key ‘windows’ of crop growth variation that arose from the variability in climate and LST. Our results show that the sum of the variability of the climate components within these two 8-day ‘windows’ explained >88% of the variability in the EVI, with LST being the dominant factor. This study offers a fresh understanding of the spatial-temporal climate-crop relationships in rainfed cropland and can serve as an early warning system for agricultural adaptation in broadacre rainfed cropping practices in Australia and worldwide.
机译：亮点？提供了一种新的视角，以量化雨量农作物的观察到气候变异性对农作物影响的影响.Modis EVI能够说明广泛的雨量种植系统中的作物生长周期和生产率.?LST被证明是一种有效的整合在气候驱动因素之间的复杂相互作用中。澳大利亚东部的澳大利亚雨量农田带区确定了两个关键的8日。全球所有此类地区的最高气候变化。然而，在棕色耕作系统的不同作物生长阶段期间，气候变异性对庄稼的空间变异性的空间影响在很大程度上。本研究旨在通过使用遥感方法量化气候和地表温度（LST）变化对增强型植被指数（EVI）的可变性的贡献。数据集在澳大利亚东部的雨量农作物的8天时间级分析。首先，我们发现在作物生殖生长阶段期间EVI值比在日历年内的任何其他作物寿命中更具变量，但仍然与作物谷物产量（THA 1）的相关性最高。其次，作物生殖增长阶段的第二种，气候因素和LST显示出最大的变异性，并在作物生长季节期间，在研究区域的降雨和南北温度梯度的典型东西梯度之后。最后，我们确定了两个关键的8日期，从一年中的一天开始（DOY）257和289，作为作物生长变化的关键“窗户”，从气候和LST的可变性产生。我们的结果表明，这两个8天的气候组件的可变性的总和在EVI中解释了> 88％的可变异性，LST是主导因素。本研究提供了对雨量农作物的空间季节气候作物关系的新鲜理解，并可作为澳大利亚和全球棕色雨量种植实践中农业适应的预警系统。

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