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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

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Abstract

Terrain plays a key role in landscape pattern formation, particularly in the transition zones from mountains to plains. Exploring the relationships between terrain characteristics and landscape types in terrain-complex areas can help reveal the mechanisms underlying the relationships. In this study, Qihe River Basin, situated in the transition zone from the Taihang Mountains to the North-China Plain, was selected as a case study area. First, the spatial variations in the relief amplitudes (i.e., high-amplitude terrain undulations) were analyzed. Second, the effects of relief amplitudes on the landscape patterns were indepth investigated from the perspectives of both landscape types and landscape indices. Finally, a logistic regression model was employed to examine the relationships between the landscape patterns and the influencing factors (natural and human) at different relief amplitudes. The results show that with increasing relief amplitude, anthropogenic landscapes gradually give in to natural landscapes. Specifically, human factors normally dominate the gentle areas (e.g., flat areas) in influencing the distribution of landscape types, and natural factors normally dominate the highly-undulating areas (e.g., moderate relief areas). As for the intermediately undulating areas (i.e., medium relief amplitudes), a combined influence of natural and human factors result in the highest varieties of landscape types. The results also show that in micro-relief areas and small relief areas where natural factors and human factors are more or less equally active, landscape types are affected by a combination of natural and human factors. The combination leads to a high fragmentation and a high diversity of landscape patterns. It seems that appropriate human interferences in these areas can be conducive to enhancing landscape diversity and that inappropriate human interferences can aggravate the problems of landscape fragmentation.

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References

  • Achmad A, Hasyim S, Dahlan B, Aulia D N. 2015. Modeling of urban growth in tsunami-prone city using logistic regression: Analysis of Banda Aceh, Indonesia. Appl Geogr, 62: 237–246

    Article  Google Scholar 

  • Cheng G D, Li X. 2015. Integrated research methods in watershed science. Sci China Earth Sci, 58: 1159–1168

    Article  Google Scholar 

  • Deng H P, Sun S F. 2012. Incorporation of TOPMODEL into land surface model SSiB and numerically testing the effects of the corporation at basin scale. Sci China Earth Sci, 55: 1731–1741

    Article  Google Scholar 

  • Dorner B, Lertzman K, Fall J. 2002. Landscape pattern in topographically complex landscapes: Issues and techniques for analysis. Landsc Ecol, 17: 729–743

    Article  Google Scholar 

  • Fan J R, Zhang Z Y, Li L H. 2015. Mountain demarcation and mountainous area divisions of Sichuan Province (in Chinese). Geogr Res, 34: 65–73

    Google Scholar 

  • Gao J B, Cai Y L. 2010. Spatial heterogeneity of landscape ragmentation at multi-scales: A case study in Wujang River Basin, Guizhou Province, China (in Chinese). Sci Geogr Sin, 30: 742–747

    Google Scholar 

  • Guan H. 2006. Boundary Effect of Physical Geography of the Join Zone Between Qinling Mountain and Huanghuai Plain (in Chinese). Beijing: Science Press. 13–14

    Google Scholar 

  • Guo Q Z, Ning X P, Wang Z H, Jiang W G. 2015. Impact analysis of landform for land use dynamic change of the partly mountainous area: A case study of Jixian County in Tianjin City (in Chinese). Remote Sens Land Resour, 27: 153–159

    Google Scholar 

  • Ha K, Ding Q L, Men M X, Xu H. 2015. Spatial distribution of land use and its relationship with terrain factors in hilly area (in Chinese). Geogr Res, 34: 909–921

    Google Scholar 

  • Hais M, Chytrý M, Horsák M. 2016. Exposure-related forest-steppe: A diverse landscape type determined by topography and climate. J Arid Environ, 135: 75–84

    Article  Google Scholar 

  • Hoechstetter S, Walz U, Dang L H, Thinh, N X. 2008. Effects of topography and surface roughness in analyses of landscape structure. Landsc Online, 3: 1–14

    Google Scholar 

  • Jaimes N B P, Bosque Sendra J, Gómez Delgado M, Franco Plata R. 2010. Exploring the driving forces behind deforestation in the state of Mexico (Mexico) using geographically weighted regression. Appl Geogr, 30: 576–591

    Article  Google Scholar 

  • Jiang D, Yan X X, Fu J Y. 2016. Applicability comparison of human activity extraction by multi-scale remote sensing imageries: A case study in Lingwu Baijitan National Nature Reserve (in Chinese). Resour Sci, 38: 1409–1422

    Google Scholar 

  • Kuang S S. 1991. The vertical zonation of mountain vertation in Henan Province (in Chinese). J Henan Norm Univ-Nat Sci, 19: 91–95

    Google Scholar 

  • Li H B, Wu J G. 2004. Use and misuse of landscape indices. Landsc Ecol, 19: 389–399

    Article  Google Scholar 

  • Lippok D, Schleuning M. 2013. Topography and edge effects are more important than elevation as drivers of vegetation patterns in a neotropical montane forest. J Veg Sci, 25: 724–733

    Article  Google Scholar 

  • Liu J P, Dong C Y, Sheng L X, Liu Y. 2016. Landscape pattern change of marsh and its response to human disturbance in the Small Sanjiang Plain, 1955–2010 (in Chinese). Sci Geogr Sin, 36: 879–887

    Google Scholar 

  • Liu J Y. 1997. Study on national resources and environment survey and dynamic monitoring using remote sensing (in Chinese). J Remote Sens, 1: 225–230

    Google Scholar 

  • Odgaard M V, Bøcher P K, Dalgaard T, Moeslund J E, Svenning J C. 2014. Human-driven topographic effects on the distribution of forest in a flat, lowland agricultural region. J Geogr Sci, 24: 76–92

    Article  Google Scholar 

  • Pe’er G, Heinz S K, Frank K. 2006. Connectivity in heterogeneous landscapes: Analyzing the effect of topography. Landsc Ecol, 21: 47–61

    Article  Google Scholar 

  • Pekin B K. 2016. Anthropogenic and topographic correlates of natural vegetation cover within agricultural landscape mosaics in Turkey. Land Use Policy, 54: 313–320

    Article  Google Scholar 

  • Pontius Jr. R G, Schneider L C. 2001. Land-cover change model validation by an ROC method for the Ipswich watershed, Massachusetts, USA. Agric Ecosyst Environ, 85: 239–248

    Article  Google Scholar 

  • Prima O D A, Echigo A, Yokoyama R, Yoshida T. 2006. Supervised landform classification of Northeast Honshu from DEM-derived thematic maps. Geomorphology, 78: 373–386

    Article  Google Scholar 

  • Rong Z R, Ma A Q, Wang Z K, Zhou K. 2012. Driving forces analysis of landscape pattern changes based on logistic regression model in wetland of Liaohe (in Chinese). Environ Sci Technol, 35: 198–203

    Google Scholar 

  • Ru W M. 1993. Study on the vegetation in southern Taihang Mountains. J Shanxi Normal Univ-Nat Sci Ed, 7(Suppl): 54–58

    Google Scholar 

  • Walz U, Hoechstetter S, Drăguţ L, Blaschke T. 2016. Integrating time and the third spatial dimension in landscape structure analysis. Landsc Res, 41: 279–293

    Article  Google Scholar 

  • Wu J G. 2007. Landscape Ecology: Pattern, Process, Scale and Hierarchy (in Chinese). 2nd ed. Beijing: Higher Education Press. 106–115

    Google Scholar 

  • Xiao C, Xie X F, Wu T, Jiang G J, Bian H J, Xu W. 2014. Dynamic changes of landscape pattern and hemeroby in Ximen Island wetland, Zhejiang Province, China (in Chinese). Chin J Appl Ecol, 25: 3255–3262

    Google Scholar 

  • Yu H, Luo Y, Liu S Q, Yang Y, Liu W D. 2015. The influences of topographic relief on spatial distribution of mountain settlements in Three Gorges Area. Environ Earth Sci, 74: 4335–4344

    Article  Google Scholar 

  • Zhang B P, Yao Y H. 2016. Implications of mass elevation effect for the altitudinal patterns of global ecology. J Geogr Sci, 26: 871–877

    Article  Google Scholar 

  • Zhang C Y, Zhang C L. 2012. Law of landscape pattern indices responding to composite mountain factors spatial heterogeneity (in Chinese). Chin Agric Sci Bull, 28: 65–68

    Google Scholar 

  • Zhao W Q, Su W C, Yuan J. 2010. Heterogeneity of landscape pattern based on the relief in Guizhou Province (in Chinese). Res Soil Water Conserv, 17: 105–110

    Google Scholar 

  • Zhou C H, Cheng W M, Qian J K, Li B Y, Zhang B P. 2009. Research on the classification system of digital land geomorphology of 1:1000000 in China (in Chinese). J Geoinf Sci, 11: 707–724

    Google Scholar 

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Acknowledgements

We sincerely thank Professor Feng Zhaodong for critically reviewing the manuscript and for careful English editing. We also thank the anonymous reviewers for their valuable comments and suggestions. This study was supported by the National Basic Research Program of China (Grant No. 2015CB452702), and the National Natural Science Foundation of China (Grant Nos. 41671090 & 41601091).

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Correspondence to Lianqi Zhu.

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Zhang, J., Zhu, W., Zhao, F. et al. 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. Sci. China Earth Sci. 61, 450–461 (2018). https://doi.org/10.1007/s11430-016-9158-2

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  • DOI: https://doi.org/10.1007/s11430-016-9158-2

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