基于土壤质量指标的土地生产率建模用于农业可持续性
Ibraheem A H Yousif1, Ali Abdel Hamid1, Abdalsamad A Aldabaa2
1Soil Science Department, Faculty of Agriculture, Cairo University, Giza, Egypt.
PloS one
|January 15, 2025
概括
这项研究评估了埃及的土地生产力.
科学领域:
- 农业科学 农业科学
- 环境科学 环境科学
- 土壤科学 土壤科学
背景情况:
- 由于人口快速增长,粮食安全是一个全球性挑战.
- 可持续的自然资源评估对粮食安全至关重要.
- 有效的土壤管理是弥合粮食供需差距的关键.
研究的目的:
- 用土壤质量指标 (SQI) 预测埃及西北海岸的土地生产率指数 (LPI).
- 提出管理策略,以提高未来的土地生产力.
- 开发一个空间模型来评估LPI.
主要方法:
- 使用空间模型来评估研究区域的LPI.
- 使用土地生产率 (LP) 方程计算当前土地生产率指数 (CLPI) 和潜在土地生产率指数 (PLPI).
- 根据土壤质量指标 (SQI) 评估的LPI.
主要成果:
- 目前的土地生产率指数 (CLPI) 显示该地区主要属于平均 (67.55%) 和良好 (22%) 类.
- 潜在土地生产率指数 (PLPI) 表示良好 (82.10%) 和平均 (9.65%) 等级.
- 拟议的土壤改善策略可以将超过60%的面积从贫困/平均水平转变为良好的生产力级别.
结论:
- 开发的方法为干旱地区的可持续土地利用管理提供了定量基础.
- 这些发现支持提高土地生产率和确保粮食安全的决策.
- 这种方法可以在类似的干旱环境中复制,以获得知情地进行土地管理.
更多相关视频
09:04Assessment of Labile Organic Carbon in Soil Using Sequential Fumigation Incubation Procedures
Published on: October 29, 2016
11.4K
08:09Measuring and Mapping Patterns of Soil Erosion and Deposition Related to Soil Carbonate Concentrations Under Agricultural Management
Published on: September 12, 2017
11.7K
相关概念视频
Key Elements for Plant Nutrition
18.6K
Like all living organisms, plants require organic and inorganic nutrients to survive, reproduce, grow and maintain homeostasis. To identify nutrients that are essential for plant functioning, researchers have leveraged a technique called hydroponics. In hydroponic culture systems, plants are grown—without soil—in water-based solutions containing nutrients. At least 17 nutrients have been identified as essential elements required by plants. Plants acquire these elements from the...
18.6K
The Soil Ecosystem
19.6K
Plants obtain inorganic minerals and water from the soil, which acts as a natural medium for land plants. The composition and quality of soil depend not only on the chemical constituents but also on the presence of living organisms. In general, soils contain three major components:
19.6K
Multiple Regression
2.9K
Multiple regression assesses a linear relationship between one response or dependent variable and two or more independent variables. It has many practical applications.
Farmers can use multiple regression to determine the crop yield based on more than one factor, such as water availability, fertilizer, soil properties, etc. Here, the crop yield is the response or dependent variable as it depends on the other independent variables. The analysis requires the construction of a scatter plot...
Farmers can use multiple regression to determine the crop yield based on more than one factor, such as water availability, fertilizer, soil properties, etc. Here, the crop yield is the response or dependent variable as it depends on the other independent variables. The analysis requires the construction of a scatter plot...
2.9K
