中国华北平原SSP245和SSP585排放情景下冬小麦夏玉米种植区域1km空间分辨率最佳年均氮肥施用量和灌溉量（2021-2040和2051-2070）

本数据提供了中国华北平原SSP245和SSP585排放情景下冬小麦夏玉米种植区域1km空间分辨率分别在2021-2040年和2051-2070年两个时期内最佳年均氮肥施用量和灌溉量。本数据来源于团队投稿于国际顶尖期刊“Nature Food”上题目为“Spatiotemporal co-optimization of agricultural management practices towards climate-smart crop production”的文章成果。采用基于农业系统过程模型耦合机器学习模型并结合多目标优化的方法计算得出。本数据质量安全可靠，可为华北平原冬小麦夏玉米种植应对未来气候变化提供氮肥和灌溉管理优化的数据支持。

This dataset provides optimal annual average nitrogen fertilizer application rates and irrigation amounts for winter wheat-summer maize cropping areas in the North China Plain under the SSP245 and SSP585 emission scenarios, at a spatial resolution of 1 km across two periods: 2021–2040 and 2051–2070. It originates from the research work of a paper submitted by our team to the leading international journal *Nature Food*, titled "Spatiotemporal co-optimization of agricultural management practices towards climate-smart crop production". The dataset was calculated using a method that couples agricultural system process models with machine learning models and integrates multi-objective optimization techniques. This dataset is reliable and of high quality, providing data support for optimizing nitrogen fertilizer and irrigation management for winter wheat-summer maize cropping in the North China Plain to address future climate change.

搜集汇总

背景与挑战

背景概述

该数据集包含中国华北平原冬小麦和夏玉米种植区在SSP245和SSP585排放情景下的最佳年均氮肥施用量和灌溉量，时间跨度为2021-2070年，空间分辨率为1km，数据格式为.tif，适用于农业管理和气候变化研究。