作者: Sofanit Araya , Greg Lyle , Megan Lewis , Bertram Ostendorf
DOI: 10.1016/J.ECOLIND.2015.09.012
关键词: Soil water 、 Phenology 、 Spatial variability 、 Satellite imagery 、 Environmental science 、 Hydrology 、 Normalized Difference Vegetation Index 、 Soil functions 、 Moderate-resolution imaging spectroradiometer 、 Cropping 、 Agronomy
摘要: Abstract Soil, an essential component of agricultural ecosystems, has high spatial variability. Plant growth reflects this variability in complex interactions with other factors such as rainfall and temperature. In the Mediterranean-type dryland cropping region South Australia, water is main driver crop Available Water-holding Capacity soil (PAWC) property that measures maximum amount plant extractable which can be held soil. It interacts weather conditions, governing growth. Thus understanding PAWC crucial for farm regional management. However, physical measurement costly time consuming. Crop phenology, timing development, influenced by climatic, soil, management factors. We hypothesised keeping climate constant focusing on a small geographic area, dynamic response plants largely due to functions. The objective was use remote sensing derived phenology understand climate–soil interactions. compared phenologic metrics annual winter-growing crops from adjacent low soils at two farms (Whariminda Minnipa) Eyre Peninsula, Australia. were 13 seasons series Moderate Resolution Imaging Spectroradiometer (MODIS) NDVI data, 250 m resolution 16 days temporal resolution. Wilcoxon signed rank tests applied assess differences growing soils. This allowed us indicators PAWC. results show significantly higher GreenUpSlope ( p