山区土地多功能性与过渡性地理空间关联分析

doi:10.13249/j.cnki.sgs.2022.06.015

地理科学 ›› 2022, Vol. 42 ›› Issue (6): 1091-1101.doi: 10.13249/j.cnki.sgs.2022.06.015

山区土地多功能性与过渡性地理空间关联分析

王占韵¹^,³, 邓伟¹^,²^,^*(), 张少尧², 张昊¹^,³

1.中国科学院成都山地灾害与环境研究所，四川成都 610041
2.四川师范大学地理与资源科学学院，四川成都 610101
3.中国科学院大学资源环境学院，北京 100049

收稿日期:2021-10-28 修回日期:2022-03-22 发布日期:2022-06-20 出版日期:2022-06-30
通讯作者: 邓伟 E-mail:dengwei@sicnu.edu.cn
作者简介:王占韵（1994−），女，山西临汾人，博士研究生，主要研究方向为山区国土空间功能。E-mail: wangzhanyun@imde.ac.cn
基金资助:
国家自然科学基金项目（41930651）资助

Correlation Analysis of Land Use Multi-functionalization and Transitional Geo-space in Mountainous Areas: Taking Changning County as an Example

Wang Zhanyun¹^,³, Deng Wei¹^,²^,^*(), Zhang Shaoyao², Zhang Hao¹^,³

1. Institute of Mountain Hazards and Environment, Chinese Academy of Scineces, Chengdu 610041, Sichuan, China
2. College of Geography and Resources Science, Sichuan Normal University, Chengdu 610101, Sichuan, China
3. School of Resources and Environment, University of Chinese Academy of Sciences, Beijing 100049, China

Received:2021-10-28 Revised:2022-03-22 Online:2022-06-20 Published:2022-06-30
Contact: Deng Wei E-mail:dengwei@sicnu.edu.cn
Supported by:
National Natural Science Foundation of China (41930651)

摘要/Abstract

摘要：

以宜宾市长宁县为研究区，基于多源数据，在栅格尺度上量化了土地利用功能。利用景观叠加分析及相关性分析等方法，明确了土地多功能性的空间分异特征，并揭示了土地功能与地形要素之间的地理空间过渡性关联。结果表明：① 山区过渡性地理空间土地生产、生态和生活功能具有多组合性，空间异质性较强。② 长宁县土地多功能性在空间上由北部平原向南部山区过渡递增，多重和双重功能主导的土地主要分布在中部槽谷和南部山区，占土地总面积的50%以上。③ 地形因子对土地多功能景观的形成发挥较大的作用，海拔650 m、地形起伏度200 m、坡度15°是土地利用多功能性的临界值，超过此临界值土地多功能性趋于减少，但生态功能占居主导。

关键词: 山区过渡性地理空间, 土地多功能性, 地形因子, 人地关系

Abstract:

The ecological, production and living functions of the Transitional geo-space in the mountainous area are highly complex, and the pattern and structure of the three directly affect the multi-functionality and rationality of the land use. There is a multi-objective trade-off relationship between ecological protection and economic and social development in this area, and it is a key area for land space development and pattern optimization. The study takes Changning County, Yibin City as the research area, and quantifies land use functions on a grid scale based on multi-source data. Through landscape superposition analysis and correlation analysis methods, the spatial differentiation characteristics of land multi-functionality are clarified, and the geographic spatial transitional relationship between land functions and terrain factors is revealed. The results show that: 1) The production, ecological and living functions of the transitional geo-space in the mountainous area have multiple combinations and strong spatial heterogeneity. 2) The multi-functionality of the land presents an increasing trend in the transition from the northern plain to the mountainous area in the south. The land dominated by multiple and dual functions is mainly distributed in the central trough and the southern mountainous area, accounting for more than 50% of the total land area. 3) Terrain factors play a major role in the formation of multi-functional landscapes. The critical value of land use multi-function is 650 m above sea level, 200 m topographic relief and 15° slope. Beyond this critical value, land multi-function will tend to decrease, but ecological function will dominate.

Key words: transitional geo-space in mountainous area, land use multi-functionalization, terrain gradient, human-earth relations

中图分类号:

K901

王占韵, 邓伟, 张少尧, 张昊. 山区土地多功能性与过渡性地理空间关联分析[J]. 地理科学, 2022, 42(6): 1091-1101.

Wang Zhanyun, Deng Wei, Zhang Shaoyao, Zhang Hao. Correlation Analysis of Land Use Multi-functionalization and Transitional Geo-space in Mountainous Areas: Taking Changning County as an Example[J]. SCIENTIA GEOGRAPHICA SINICA, 2022, 42(6): 1091-1101.

图/表 7

图1

Table 1

Calculation method of land use function index

主要功能	子功能	指标	计算方法	含义
生产功能	粮食供应	粮食产量	$\mathop {GP}\nolimits_{ij} {\text{ = } }\dfrac{ {\mathop {EVI}\nolimits_{ij} } }{ {\mathop {EVI}\nolimits_{sum,j} } } \times \mathop {GP}\nolimits_{j}$	${GP}_{ij}$ 为j县栅格i的粮食产量， ${GP}_{j}$ 为j 县粮食总产量， $ {EVI}_{ij} $ 是 j县栅格i的 $ EVI $ 值， $ {EVI}_{sum,j} $ 为j 县的 $ EVI $ 总和^[30]
	木材供应	木材产量	$ \mathop {TP}\nolimits_{ij} {\text{ = }}\dfrac{{\mathop {Ta}\nolimits_{ij} }}{{\mathop {Ta}\nolimits_j }} \times \mathop {TP}\nolimits_j $	$ {TP}_{ij} $ 为j县栅格 i的木材产量， $ {Ta}_{ij} $ 为j 县栅格 i的林地面积， $ {Ta}_{j} $ 为 j 县的林地面积， $ {TP}_{j} $ 为 j 县的木材总产量
	水产供应	水产品产量	$ \mathop {AP}\nolimits_{ij} {\text{ = }}\dfrac{{\mathop {Aa}\nolimits_{ij} }}{{\mathop {Aa}\nolimits_j }} \times \mathop {AP}\nolimits_j $	$ {AP}_{ij} $ 为j县栅格i的水产产量， $ {Aa}_{ij} $ 为 j 县栅格i的水产养殖面积， $ {Aa}_{j} $ 为 j县的水产养殖面积， $ {AP}_{j} $ 为j 县的水产品总产量^[22]
生活功能	居住保障	人口密度	单位网格内的人口密度	利用ArcGIS核密度工具计算
	经济保障	GDP密度	$\mathop {GDP}\nolimits_{i} = \exp \left( {\mathop P\nolimits_o } \right) \times {\left( {b \times I + c \times S} \right)^a}$	$ {GDP}_{i} $ 为第一、二、三产业的产值，P₀和a为回归模型系数，I代表灯光强度，S代表灯光区面积，b和c为夜间灯光指数的系数^[34]
	交通保障	主要路网密度	单位网格内的路网密度	利用ArcGIS核密度工具计算
生态功能	气候调节	碳储量(CR)	$\mathop {CR} = Nc \times \beta \times \displaystyle\sum {\mathop {NPP} }$	$ Nc $ 为二氧化碳（ ${ {{\rm{CO}}} }_{2}$ ）中碳的含量， $ \beta $ 为每株植物生产 1 g 干生物量需要吸收和固定的 ${ {{{\rm{CO}}} } }_{2}$ 含量，NPP为植被净初级生产力^[35]
	水文调节	水源涵养量(WY)	$ WY = PPT - \dfrac{{1 + w\dfrac{{PET}}{{PPT}}}}{{1 + w\dfrac{{PET}}{{PPT}} + \dfrac{{PPT}}{{PET}}}} \times PPT $	$ PPT $ 为年降水量， $ PET $ 为年潜在蒸散量， $ w $ 为植被可利用水系数^[36]
	土壤保持	土壤保持量(SC)	$ SC = R \times K \times LS \times \left( {1 - C \times P} \right) $	$ R $ 为降雨侵蚀力， $ K $ 为土壤可蚀性， $ LS $ 为坡长坡度因子， $ C $ 为植被覆盖和管理因子， $ P $ 为工程措施因子^[36]

Table 1

图2

图3

图4

图5

图6

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山区土地多功能性与过渡性地理空间关联分析

Correlation Analysis of Land Use Multi-functionalization and Transitional Geo-space in Mountainous Areas: Taking Changning County as an Example

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