优化耕地适用性评估使用改进的适用性功能在安宁河流域.
Fang Luo1,2, Li He3,4, Zhongsheng Chen5
1State Key Laboratory of Geohazard Prevention and Geoenvironment Protection, Chengdu University of Technology, Chengdu, 610059, China.
Scientific reports
|November 21, 2024
概括
本研究为耕地适用性评估 (ALSE) 功能引入了改进的规则,提高了可持续农业的准确性. 新的方法为评估土地潜力和资源利用提供了更好的方法.
科学领域:
- 农业科学 农业科学
- 环境科学 环境科学
- 土地使用规划 土地使用规划
背景情况:
- 耕地适用性评估 (ALSE) 对农业发展和粮食安全至关重要.
- 传统的ALSE方法由于土地使用结构而面临局限性.
- 需要新的ALSE函数方法来克服这些限制.
研究的目的:
- 为ALSE提出新的规则,用于构建适合性比例函数.
- 提高ALSE中的适用性函数的适用性和准确性.
- 为了提供一个更方便的方法来ALSE.
主要方法:
- 开发用于构造适度比例函数的新规则.
- 应用原始和改进的功能来评估当前和潜在的耕地 (CAL和PAL).
- 相关性分析用于比较评估结果并评估准确性.
主要成果:
- 在安宁河流盆地,94%的CAL是合适的,在PAL有很大的潜力 (66.1%是合适的).
- 干旱和温暖的河谷地区表现出特殊的农业条件,适合CAL和PAL.
- 改进的ALSE函数与原始函数相比,产生更接近现实的结果.
结论:
- 该研究成功地提高了ALSE的准确性,使用了改进的适应性功能.
- 为ALSE提供了一种新的,更准确的方法.
- 结果为区域耕地资源利用和可持续农业发展提供了宝贵的见解.
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