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

Abstract

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

CLC Number:

K901

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.

Figures/Tables 7

Fig. 1

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]

Fig. 2

Fig. 3

Fig. 4

Fig. 5

Fig. 6

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

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