Grid based monitoring and forecasting system of cropping conditions and risks by agrometeorological indicators in Austria – Agricultural Risk Information System ARIS

IF 4 3区环境科学与生态学 Q2 ENVIRONMENTAL SCIENCES

Climate Services Pub Date : 2024-04-01 DOI:10.1016/j.cliser.2024.100478

Josef Eitzinger , Voiko Daneu , Gerhard Kubu , Sabina Thaler , Mirek Trnka , Andreas Schaumberger , Stefan Schneider , Thi Mai Anh Tran

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引用次数: 0

Abstract

ARIS (Agricultural Risk Information System) is a GIS (Geographical Information System)-based modelling system (applicable for hind-casting, weather observations and forecasting as well as climate scenario projections) for a number of weather-related abiotic and biotic cropping risks, crop management and growing conditions. In our study we demonstrate and describe the functionality and characteristics of ARIS on Austrian conditions and domain. ARIS indicators can be applied for different time periods on a daily base and a spatial grid of 1 km for weather/climate conditions (0,5 km for soil conditions based on the available Austrian soil map). The currently implemented indicators for general cropping conditions or risks are based on daily weather variables, partly combined with soil wetness, regardless other potential (not weather related) limitations. Crop specific risk indicators are based on algorithms for phenological development of currently 5 main crops and include especially the soil-crop water balance and combined drought and heat stress effects. Biotic indicators include pests and diseases of importance for Austrian conditions. ARIS allows the combined assessment of abiotic and biotic risks during crop growing seasons and thus provides a wide set of information for decision support or strategic planning for stakeholders in the agricultural sector. The system has the potential to be adapted for diverse agroecosystems or be extended by further weather related abiotic or biotic indicators or crop types, if the necessary (grid based) input data formats are available.

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基于网格的奥地利农业气象指标种植条件和风险监测与预报系统 - 农业风险信息系统 ARIS

农业风险信息系统（ARIS）是一个基于地理信息系统（GIS）的建模系统（适用于后投、气象观测和预报以及气候情景预测），用于分析与天气相关的非生物和生物作物风险、作物管理和生长条件。在我们的研究中，我们展示并描述了 ARIS 在奥地利条件和领域中的功能和特点。ARIS 指标可应用于不同时间段，以天为单位，天气/气候条件的空间网格为 1 千米（土壤条件的空间网格为 0.5 千米，基于现有的奥地利土壤地图）。目前实施的一般作物条件或风险指标以每日天气变量为基础，部分与土壤湿度相结合，不考虑其他潜在的（与天气无关的）限制因素。作物特定风险指标基于目前 5 种主要作物物候发展的算法，尤其包括土壤-作物水分平衡以及干旱和热胁迫的综合影响。生物指标包括对奥地利条件非常重要的病虫害。ARIS 可以对作物生长季节的非生物和生物风险进行综合评估，从而为农业部门的利益相关者提供决策支持或战略规划所需的大量信息。如果有必要的（基于网格的）输入数据格式，该系统有可能适用于不同的农业生态系统，或通过更多与天气相关的非生物或生物指标或作物类型进行扩展。

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来源期刊

Climate Services Multiple-

CiteScore

5.30

自引率

15.60%

发文量

期刊介绍： The journal Climate Services publishes research with a focus on science-based and user-specific climate information underpinning climate services, ultimately to assist society to adapt to climate change. Climate Services brings science and practice closer together. The journal addresses both researchers in the field of climate service research, and stakeholders and practitioners interested in or already applying climate services. It serves as a means of communication, dialogue and exchange between researchers and stakeholders. Climate services pioneers novel research areas that directly refer to how climate information can be applied in methodologies and tools for adaptation to climate change. It publishes best practice examples, case studies as well as theories, methods and data analysis with a clear connection to climate services. The focus of the published work is often multi-disciplinary, case-specific, tailored to specific sectors and strongly application-oriented. To offer a suitable outlet for such studies, Climate Services journal introduced a new section in the research article type. The research article contains a classical scientific part as well as a section with easily understandable practical implications for policy makers and practitioners. The journal''s focus is on the use and usability of climate information for adaptation purposes underpinning climate services.