Spatial variations of terrain and their impacts on landscape patterns in the transition zone from mountains to plains—A case study of Qihe River Basin in the Taihang Mountains

Zhang, Jingjing; Zhu, Wenbo; Zhao, Fang; Zhu, Lianqi; Li, Maojuan; Zhu, Maoyan; Zhang, Xiaodong

doi:10.1007/s11430-016-9158-2

Cited by 20 publications

(12 citation statements)

References 17 publications

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“…In the formula, RF i is the relative elevation difference in the center window of i grid, H max and H min are the maximum and minimum elevation values in this window, respectively. The calculation of relief amplitude is scale‐dependent (Zhang et al, 2018). To determine the best scale of relief amplitude, we first use the neighborhood analysis tool of ArcGIS to open n × n windows with different number of pixels ( n = 2, 3, … 20) for DEM data with 1 km resolution.…”

Section: Methodsmentioning

confidence: 99%

Exploring cultivated land evolution in mountainous areas of Southwest China, an empirical study of developments since the 1980s

et al. 2020

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Cultivated land protection is related to food security and sustainable development. As an important reserve resource, the protection and development of cultivated land in mountainous areas need attention from governments and academia. This paper analyses the long‐term evolution process cultivated land in mountainous areas of Southwest China by using large‐scale remote sensing, topographic relief amplitude model, and a modified binary logistic regression model, to understand internal reasons for evolution differentiation at the macro level. The results show that untransformed cultivated land is mainly distributed below the topographic relief amplitude of 770 m. The transformation direction and spatial characteristics of transformed cultivated land gradually shift to low relief amplitude (<631 m) areas with time. Construction land accounts for 51.11% of the cultivated land transformation, usually distributed in flatlands or basins below the relief amplitude of 498 m, and hilly cultivated land around it displays a fluctuating recovery process. Topography is the most important factor affecting the evolution of cultivated land in mountainous areas. However, there are still differences in the driving mechanism of cultivated land evolution types, and some key policies in China in the past directly affected the evolution paths of cultivated land in mountainous areas. The research results can provide ideas for the utilization and protection of cultivated land in similar mountainous areas.

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Section: Methodsmentioning

confidence: 99%

Exploring cultivated land evolution in mountainous areas of Southwest China, an empirical study of developments since the 1980s

et al. 2020

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“…The altitude decreases from west to east with high topographic relief. The study area is traversed by rivers and valleys, its topographic types include basin, plain, hill and mountain, hills and mountains comprise 86% of the region (Zhang et al, 2018). The mean annual temperature is 11.9℃, and the mean annual precipitation is 573.7 mm, with a seasonal temperate semi-humid monsoon climate.…”

Section: Overview Of the Study Areamentioning

confidence: 99%

“…According to previous studies, the effect of land use change on ecosystem carbon storage is mainly decided by ecosystem types and how land use types are transformed, and related research will have practical significance for managing future regional ecosystem and providing suggestions for optimizing land use structure with the objective of carbon balance. Catchment is a large complex system that comprises water resource, socio-economy and ecosystem, and has clear hierarchical structure and allomeric function, and determining how to trade off eco-environmental issues and socio-economic sustainable development in the perspective of catchment is an effective pathway for system synthesis (Zhang et al, 2018;Qian et al, 2018). Some researchers have previously evaluated spatiotemporal pattern of ecosystem carbon storage at catchment level and studied the effects of land use dynamics on carbon storage (Wang et al, 2013), but simulation research for future scenarios is still lacking.…”

Section: Introductionmentioning

confidence: 99%

Ecosystem carbon storage under different scenarios of land use change in Qihe catchment, China

et al. 2020

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Regional land use change is the main cause of the ecosystem carbon storage changes by affecting emission and sink process. However, there has been little research on the influence of land use changes for ecosystem carbon storage at both temporal and spatial scales. For this study, the Qihe catchment in the southern part of the Taihang Mountains was taken as an example; its land use change from 2005 to 2015 was analyzed, the Markov-CLUES composite model was used to predict land use patterns in 2025 under natural growth, cultivated land protection and ecological conservation scenario, and the land use data were used to evaluate ecosystem carbon storage under different scenarios for the recent 10-year interval and the future based on the carbon storage module of the InVEST model. The results show the following: (1) the ecosystem carbon storage and average carbon density of Qihe catchment were 3.16×10 7 t and 141.9 t/ha, respectively, and decreased by 0.07×10 7 t and 2.89 t/ha in the decade evaluated. (2) During 2005-2015, carbon density mainly decreased in low altitude areas. For high altitude area, regions with increased carbon density comprised a similar percentage to regions with decreased carbon density. The significant increase of the construction areas in the middle and lower reaches of Qihe and the degradation of upper reach woodland were core reasons for carbon density decrease. (3) For 2015-2025, under natural growth scenario, carbon storage and carbon density also significantly decrease, mainly due to the decrease of carbon sequestration capacity in low altitude areas; under cultivated land protection scenario, the decrease of carbon storage and carbon density will slow down, mainly due to the increase of carbon sequestration capacity in low altitude areas; under ecological conservation scenario, carbon storage and carbon density significantly increase and reach 3.19×10 7 t and 143.26 t/ha, respectively, mainly in regions above 1100 m in altitude. Ecological conservation scenario can enhance carbon sequestration capacity but cannot effectively control the reduction of cultivated land areas. Thus, land use planning of research areas should consider both ecological conservation and cultivated land protection scenarios to increase carbon sink and ensure the cultivated land quality and food safety.

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“…In this study, the mean change-point method was used to calculate the optimal statistical unit for topographical relief in western Henan mountainous area. The method is able to identify the sudden change-point in a dataset and is most effective in conditions where there is only one change-point (Zhang et al, 2018). The procedure is as follows:…”

Section: Extraction Of Topographical Reliefmentioning

confidence: 99%

“…However, the calculation of topographical relief involves inherent uncertainty and is dependent on the calculation scale. As such, scientifically defining the calculation scale (or the optimal statistical unit) is the key to determining regional topographical relief (Liu et al, 2010;Zhang et al, 2018). According to previous studies, the mean change-point analysis as a non-manual discriminate method can rapidly and accurately calculate optimal statistical units (Prima et al, 2006;Zhang and Dong, 2012).…”

Section: Introductionmentioning

confidence: 99%

Topographical relief characteristics and its impact on population and economy: A case study of the mountainous area in western Henan, China

Zhang

Zhu

et al. 2019

J. Geogr. Sci.

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Topographical relief is a key factor that limits population distribution and economic development in mountainous areas. The limitation is especially apparent in the mountain-plain transition zone. Taking the transition zone between the Qinling Mountains and the North China Plain (i.e. the mountainous area in western Henan Province) as an example and based on the 200-m resolution DEM data, we used the mean change-point analysis to determine the optimal statistical unit for topographical relief, and thereafter extracted the relief degree. Taking the 1:100,000 land use data, township population and county-level industrial data, population and economic spatial models were constructed, and 200-m resolution grid population and economic density maps were generated. Afterwards, statistical analysis was carried out to quantitatively reveal the impact of topographical relief on population and economy. In addition, the impacts of other topographical factors were discussed. The results showed the following. (1) The relief degree in western Henan is generally low, where 58.6% of the regional topography does not exceed half the height of a reference mountain (relative elevation ≤250 m). Spatially, the relief degree is high in the west while low in the east, and high in the middle while low in the north and south. There is a positive correlation between relief degree and elevation, and a much stronger correlation between relief degree and slope. (2) The linear fitting degree between the population and economic validation data and the corresponding simulation data are 0.943 and 0.909, respectively, indicating that the spatialized results can reflect the actual population and economic distribution. (3) The impact of topographical relief on population and economy was stronger than that of other topographical factors. The relief degree showed a good logarithmic fit relationship with population density (0.911) and economic density (0.874). Specifically, 88.65% of the population lives in areas where the topographical relief is ≤0.5 and 88.03% of the gross regional product was from areas where the relief is ≤0.3. Compared with the population distribution, the economic development showed an obvious agglomeration trend towards low relief areas.

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Spatial variations of terrain and their impacts on landscape patterns in the transition zone from mountains to plains—A case study of Qihe River Basin in the Taihang Mountains

Cited by 20 publications

References 17 publications

Exploring cultivated land evolution in mountainous areas of Southwest China, an empirical study of developments since the 1980s

Exploring cultivated land evolution in mountainous areas of Southwest China, an empirical study of developments since the 1980s

Ecosystem carbon storage under different scenarios of land use change in Qihe catchment, China

Topographical relief characteristics and its impact on population and economy: A case study of the mountainous area in western Henan, China

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