Effect of terrain on landscape patterns and ecological effects by a gradient-based RS and GIS analysis

Wenfeng Gong , Haibo Wang , Xiaofeng Wang , Wenyi Fan , Philip Stott

Journal of Forestry Research ›› 2017, Vol. 28 ›› Issue (5) : 1061 -1072.

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Journal of Forestry Research ›› 2017, Vol. 28 ›› Issue (5) : 1061 -1072. DOI: 10.1007/s11676-017-0385-8
Original Paper

Effect of terrain on landscape patterns and ecological effects by a gradient-based RS and GIS analysis

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Abstract

Terrain is an important environment factor that plays a vital role in human development by influencing the spatial layout of land use patterns. The terrain niche index, combined with slope and elevation, can comprehensively present detailed information about spatial differences in terrain and is superior to single terrain factors. We applied remote sensing and geographical information system to terrain gradient, used the non-dimensional distribution index to examine spatial distribution characteristics of various landscape types, and analyzed the ecological effects of landscape were quantitatively on terrain gradients. Eco-environment quality (EEQ) was evaluated using the forestry operation area as the evaluation unit. The spatial distributions in various landscapes were significantly influenced by terrain factors, especially by bodies of water, cropland and residential land. The spatial distribution varied greatly in different terrain gradients for similar landscape types. The areas associated with good, intermediate and poor EEQ were occupied primarily by natural landscape, semi-natural and largely artificial landscapes, respectively.

Keywords

Terrain niche index / Spatial distribution characteristics / Distribution index / Eco-environment quality

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Wenfeng Gong, Haibo Wang, Xiaofeng Wang, Wenyi Fan, Philip Stott. Effect of terrain on landscape patterns and ecological effects by a gradient-based RS and GIS analysis. Journal of Forestry Research, 2017, 28(5): 1061-1072 DOI:10.1007/s11676-017-0385-8

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References

[1]

Aplin P. Remote sensing: ecology. Prog Phys Geogr, 2005, 29: 104-113.

[2]

Arnous MO. Integrated remote sensing and GIS techniques for landslide hazard zonation: a case study Wadi Watier area, South Sinai, Egypt. J Coast Conserv, 2011, 15: 477-497.

[3]

Brown DG. Predicting vegetation types at tree line using topography and biophysical disturbance variables. J Veg Sci, 1994, 5: 641-656.

[4]

Chaplot V, Darboux F, Bourennane H. Accuracy of interpolation techniques for the derivation of digital elevation models in relation to landform type and data density. Geomorphology, 2006, 77: 126-141.

[5]

Cormack JE, Hogg J. Virtual-memory tiling for spatial data handling in GIS. Comput Geosci, 1997, 23(4): 659-669.

[6]

Costanza R, Arge R, Groot R. The value of the world’s ecosystem services and natural capitals. Nature, 1997, 386: 253-260.

[7]

Costanza R, Fisher B, Mulder K, Liu S, Christopher T. Biodiversity and ecosystem services: a multi-scale empirical study of the relationship between species richness and net primary production. Ecol Econ, 2007, 61: 478-491.

[8]

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

[9]

Foody GM. Status of land cover classification accuracy assessment. Remote Sens Environ, 2002, 80(1): 185-201.

[10]

Franklin JM, Cullough P, Gray C. Wilson JP, Gallant JC. Terrain variables used for predictive mapping of vegetation communities in Southern California. Terrain analysis-principles and applications, 2000, New York: Wiley 331 353

[11]

Hobbs RJ. Integrated landscape ecology: a western Australian perspective. Biol Conserv, 1993, 64(3): 231-238.

[12]

Hoechstetter S, Walz U, Dang LH, Thinh NX. Effects of topography and surface roughness in analyses of landscape structure—a proposal to modify the existing set of landscape metrics. Landsc Online, 2008, 3: 1-14.

[13]

Huang C, Davis LS, Townshend JRG. An assessment of support vector machines for land cover classification. Int J Remote Sens, 2002, 23(4): 725-749.

[14]

Ispikoudis I, Lyrintzis G, Kyriakakis S. Impact of human activities on mediterranean landscapes in western Crete. Landsc Urban Plan, 1993, 124: 259-271.

[15]

Joshi PK, Singh S, Agarwal S, Roy PS. Forest cover assessment in Western Himalayas Himachal Pradesh, using IRS 1C/1D WiFS data. Curr Sci India, 2001, 80(8): 941-947.

[16]

Klingseisen B, Metternicht G, Paulus G. Geomorphometric landscape analysis using a semi-automated GIS Approach. Environ Model Softw, 2008, 23: 109-121.

[17]

Li SJ, Sui YZ, Feng HQ. Spatial connectivity and distribution of landscape type in the natural secondary forests of eastern mountainous region, northeast China—a case study of Mao’ershan region in Heilongjiang Province. J For Res, 2004, 15(2): 141-144.

[18]

Li ZW, Zeng GM, Zhang H. The integrated eco-environment assessment of the red soil hilly region based on GIS-A case study in Changsha City, China. Ecol Model, 2007, 202: 540-546.

[19]

Li L, Shi ZH, Wl Yi. A fuzzy analytic hierarchy process (FAHP) approach to eco-environmental vulnerability assessment for the Danjiangkou Reservoir area, China. Ecol Model, 2009, 220: 3439-3447.

[20]

Li XH. Applying various algorithms for species distribution modelling. Integr Zool, 2013, 8: 124-135.

[21]

Lou CR, You HM, Xu T. Analysis of correlation between city landscape pattern and ecological effect-take Xuzhou City as an example. J Yangtze Univ Nat Sci Edit Agric Sci, 2007, 4(1): 18-22.

[22]

Magee K (2011) Segmentation, object-oriented applications for remote sensing land cover and land use classification [doctoral dissertation]. University of Cincinnati, Cincinnati

[23]

Melgani F, Bruzzone L. Classification of hyperspectral remote sensing images with support vector machines. IEEE Trans Geosci Remote Sens , 2004, 42: 1778-1790.

[24]

Morgan JL, Gergel SE. Quantifying historic landscape heterogeneity from aerial photographs using object-based analysis. Landsc Ecol, 2010, 25: 985-998.

[25]

Mottet A, Ladet S, Coque N. Agricultural land-use change and its drivers in mountain landscapes: a case study in the Pyrenees. Agric Ecosyst Environ, 2006, 11(2): 296-310.

[26]

Munsi M, Malaviya S, Oinam G, Joshi PK. A landscape approach for quantifying land-use and land-cover change (1976–2006) in middle Himalayap. Reg Environ Change, 2010, 10: 145-155.

[27]

Ning B, Gong WF, Fan WY. Evaluation of land use suitability of Maoershan forest farm based on RS and GIS. J Northeast For Univ, 2009, 37(2): 56-58.

[28]

Pignatti S. Impact of tourism on the mountain landscape of central Italy. Landsc Urban Plan, 1993, 24(4): 49-53.

[29]

Sani NA, Kafaky SB, Pukkala T, Mataji A. Integrated use of GIS, remote sensing and multi-criteria decision analysis to assess ecological land suitability in multi-functional forestry. J For Res, 2016, 27(5): 1-9.

[30]

Suzuki W, Matsuura T. Analysis of topography and vegetation distribution using a digital elevation model: case study of a snowy mountain basin in northeastern Japan. Landsc Ecol Eng, 2013, 9: 143-155.

[31]

Tappeiner U, Tasser E, Tappeiner G. Modelling vegetation patterns using natural and anthropogenic influence factors: preliminary experience with a GIS-based model applied to an Alpine area. Ecol Model, 1998, 113: 225-237.

[32]

Tehrany MS, Pradhan B, Jebuv MN. A comparative assessment between object and pixel-based classification approaches for land-use/land-cover mapping using SPOT 5 imagery. Geocarto Int, 2014, 29(4): 351-369.

[33]

Thompson J, Bell J, Butler C. Digital elevation model resolution: effects on terrain attribute calculation and quantitative soil-landscape modeling. Geoderma, 2001, 100: 67-89.

[34]

Wang SY, Zhang ZX, Zhao XL. Eco-environmental synthetic analysis based on RS and GIS technology in Hubei Province. Adv Earth Sci, 2002, 17(3): 426-431.

[35]

Wang X, Zheng D, Shen Y. Land use change and its driving forces on the Tibetan Plateau during 1990–2000. CATENA, 2008, 72: 56-66.

[36]

Wang DC, Gong JH, Chen LD. Comparative analysis of land use/cover change trajectories and their driving forces in two small watersheds in the western Loess Plateau of China. Int J Appl Earth Obs Geoinf, 2013, 21: 241-252.

[37]

Weng YC. Spatio-temporal changes of landscape pattern in response to urbanization. Landsc Urban Plan, 2007, 81(2): 341-353.

[38]

Xie ZX, Liu MZ, Jones JW. Landscape unit based digital elevation model development for the fresh water wetlands within the Arthur C. Marshall Loxahatchee National Wildlife Refuge, Southeastern Florida. Appl Geogr, 2011, 31: 401-412.

[39]

Xiong Y, Zeng GM, Chen GQ. Combining AHP with GIS in synthetic evaluation of eco-environment quality-a case study of Hunan Province, China. Ecol Model, 2007, 209: 97-109.

[40]

Xu J, Fox J, Fujita Y. Landuse transition, livelihood, and environmental services in montane mainland southeast Asia. Mt Res Dev, 2006, 26(3): 278-284.

[41]

Yan G, Mas J, Maathuis BHP, Zhang XM, Van Dijk PM. Comparison of pixel-based and object, riented image classification approaches—a case study in a coal fire area, Wuda, inner Mongolia, China. Int J Remote Sens, 2006, 27(18): 4039-4055.

[42]

Yu H, Zeng H, Jiang ZY. Study on distribution characteristics of landscape elements along the terrain gradient. Acta Geogr Sinca, 2001, 21(1): 64-69.

[43]

Yue SP, Zhang SW, Yan YC. The ecological effect of land use change in Gong Zhuling County. Resour Sci, 2006, 28(6): 161-166.

[44]

Yue SP, Zhang SW, Yan YC, Zhangn YZ. The ecological effect of land use change in Gong-zhuling County. J Arid Land Res Environ, 2007, 21(7): 64-68.

[45]

Zhang ZM, Coillie FV, Clercq EM. Mountain vegetation change quantification using surface landscape metrics in Lancang watershed, China. Ecol Indic, 2013, 31: 49-58.

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