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农业地块层面的综合土壤-气候数据集。

An integrated pedo-climatic dataset at the agricultural parcel level.

作者信息

Lardot Benjamin, Cantelaube Pierre, Dedieu Marie-Sophie

机构信息

INRAE, US ODR, Castanet-Tolosan F-31326, France.

出版信息

Data Brief. 2025 Aug 19;62:111989. doi: 10.1016/j.dib.2025.111989. eCollection 2025 Oct.

DOI:10.1016/j.dib.2025.111989
PMID:40918058
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC12410483/
Abstract

Lots of agricultural or environmental studies, researches, policy evaluations are based on Land Parcel Information System (LPIS), combined with other pedo-climatic or agro-environmental data. This is the case for example for different kinds of models, as crop models which have been used widely in France to assess ecosystemic services or carbon storage, agent-based models for watershed analyses or for models assessing erosion risks. However, integration of pedo-climatic and agro-environmental data at a high-resolution level remains challenging. Data integration is often done specifically for a study or a territory, with heavy geomatical treatments. As a new service of the Rural Development Observatory (ODR) of France's National Research Institute for Agriculture, Food and Environment (INRAE), we propose a new pedo-climatic dataset. This dataset is designed at the agricultural parcel level, integrating administrative municipality data, topographic information as altitude, slope and aspect, climate grids information and also information on soils. Indeed, as a service unit, we have had different requests converging on these thematics, and we assume that an integrated open-access dataset at the parcel level can be useful for various research projects. A dataset is available for each campaign, from 2015 to 2023, for mainland France. Agricultural practices, or information on different kind of zonings, are still lacking. Their integration requires further methodological developments.

摘要

许多农业或环境研究、调查、政策评估都基于地块信息系统(LPIS),并结合其他土壤气候或农业环境数据。例如,不同类型的模型就是这种情况,如在法国被广泛用于评估生态系统服务或碳储存的作物模型、用于流域分析的基于主体的模型或评估侵蚀风险的模型。然而,在高分辨率水平上整合土壤气候和农业环境数据仍然具有挑战性。数据整合通常是针对某项研究或某个地区专门进行的,需要进行大量的地理处理。作为法国国家农业、食品和环境研究所(INRAE)农村发展观测站(ODR)的一项新服务,我们提出了一个新的土壤气候数据集。该数据集是在农业地块层面设计的,整合了行政区镇数据、地形信息(如海拔、坡度和坡向)、气候网格信息以及土壤信息。事实上,作为一个服务单位,我们收到了许多围绕这些主题的不同请求,并且我们认为地块层面的综合开放获取数据集可能对各种研究项目有用。2015年至2023年期间,法国本土的每个活动都有一个数据集可供使用。农业实践或不同类型分区的信息仍然缺乏。它们的整合需要进一步的方法开发。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/d344/12410483/781bcd9eb520/gr9.jpg
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https://cdn.ncbi.nlm.nih.gov/pmc/blobs/d344/12410483/781bcd9eb520/gr9.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/d344/12410483/e37d936b12b5/gr1.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/d344/12410483/7224ad343403/gr2.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/d344/12410483/ba4246883d2a/gr3.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/d344/12410483/226042123c0c/gr4.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/d344/12410483/c3e06fd0cb9b/gr5.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/d344/12410483/ae27cd36f763/gr6.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/d344/12410483/3ce86536547a/gr7.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/d344/12410483/31bcce0a7f09/gr8.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/d344/12410483/781bcd9eb520/gr9.jpg

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