中亚五国耕地开发潜力评价数据集（V1.0，2020-2060）

面向中亚五国农业可持续发展，以耕地为目标，开展了未来气候变化变化变化影响下的耕地资源开发潜力评价。耕地开发潜力评价因子包括：地形因子（高程、坡度、坡向、与水资源距离）、土壤因子（盐渍化、土壤质地、土壤有机质含量、土壤pH值）、气候因子（降雨、气温、太阳辐射）、经济因子（道路密度、人口密度）。以2020年为基准年，在其他指标不变的条件下，采用CMIP6中的ESM1气候模式的平均降水和气温，预估了未来SSP5-8.5情景下的中亚耕地开发潜力。数据提供了2020s、2030s（2021-2040）和2050s（2041-2060）时间段的中亚五国耕地开发潜力的评价结果，空间分辨率为0.01°×0.01°。数据集可为中亚五国未来土地资源开发利用和农业发展等提供基础数据支撑。

This dataset targets arable land for the sustainable agricultural development of the five Central Asian countries, and conducts an evaluation of the development potential of arable land resources under the impact of future climate change. The evaluation factors for arable land development potential include: topographic factors (elevation, slope, aspect, distance to water resources), soil factors (salinization, soil texture, soil organic matter content, soil pH value), climatic factors (precipitation, temperature, solar radiation), and economic factors (road density, population density). Taking 2020 as the baseline year, with other indicators unchanged, the average precipitation and temperature from the ESM1 climate model in CMIP6 were used to project the arable land development potential in Central Asia under the SSP5-8.5 scenario. The dataset provides evaluation results of arable land development potential in the five Central Asian countries for the periods 2020s, 2030s (2021-2040) and 2050s (2041-2060), with a spatial resolution of 0.01° × 0.01°. This dataset can provide basic data support for future land resource development and utilization, agricultural development and other relevant work in the five Central Asian countries.

搜集汇总

背景与挑战

背景概述

该数据集评估了中亚五国在2020-2060年间耕地开发潜力，考虑了地形、土壤、气候和经济等多方面因子，采用CMIP6气候模式预测SSP5-8.5情景下的潜力变化，空间分辨率为0.01°×0.01°，数据以GeoTiff格式存储，适用于土地资源开发利用和农业发展研究。