176
Views
1
CrossRef citations to date
0
Altmetric
Original Articles

Road network drives urban ecosystems - a longitudinal analysis of impact of roads in the central Himalaya

, & ORCID Icon
Pages 1100-1125 | Received 20 Jan 2020, Accepted 09 Mar 2020, Published online: 16 Apr 2020

References

  • Abdullah SA, Nakagoshi N. 2006. Changes in landscape spatial pattern in the highly developing state of Selangor, Peninsular Malaysia. Landscape Urban Plann. 77(3):263–275.
  • Alamgir M, Campbell MJ, Sloan S, Goosem M, Clements GR, Mahmoud MI, Laurance WF. 2017. Economic, socio-political and environmental risks of road development in the tropics. Curr Biol. 27(20):R1130–R1140.
  • Arima EY, Walker RT, Perz SG, Caldas M. 2005. Loggers and forest fragmentation: behavioural models of road building in the Amazon basin. Ann Assoc Am Geograph. 95(3):525–541.
  • Arnold CL, Jr, Gibbons CJ. 1996. Impervious surface coverage: the emergence of a key environmental indicator. J Am Plan Assoc. 62(2):243–258.
  • Artis DA, Carnahan WH. 1982. Survey of emissivity variability in thermography of urban areas. Remote Sens Environ. 12(4):313–329.
  • Ascensão F, Fahrig L, Clevenger AP, Corlett RT, Jaeger JA, Laurance WF, Pereira HM. 2018. Environmental challenges for the belt and road initiative. Nat Sustain. 1(5):206–209.
  • Balmford A, Chen H, Phalan B, Wang M, O’Connell C, Tayleur C, Xu J. 2016. Getting road expansion on the right track: a framework for smart infrastructure planning in the Mekong. PLoS Biol. 14(12):e2000266.
  • Berlanga-Robles CA, Ruiz-Luna A. 2002. Land use mapping and change detection in the coastal zone of northwest Mexico using remote sensing techniques. J Coast Res. 18 (3):514–522.
  • Buyantuyev A, Wu J. 2010. Urban heat islands and landscape heterogeneity: Linking spatiotemporal variations in surface temperatures to land-cover and socioeconomic patterns. Landscape Ecol. 25(1):17–33.
  • Champagne C, McNairn H, Daneshfar B, Shang J. 2014. A bootstrap method for assessing classification accuracy and confidence for agricultural land use mapping in Canada. Int J Appl Earth Obs Geoinf. 29:44–52.
  • Coffin AW. 2007. From roadkill to road ecology: a review of the ecological effects of roads. J Trans Geograph. 15(5):396–406.
  • Congalton RG. Green K. 2008. Assessing the accuracy of remotely sensed data: principles and practices. Boca Raton (FL): CRC Press, p. 57–59.
  • Coppin P, Jonckheere I, Nackaerts K, Muys B, Lambin E. 2004. Review article digital change detection methods in ecosystem monitoring: a review. Int J Remote Sens. 25(9):1565–1596.
  • Corcoran P, Mooney P, Bertolotto M. 2013. Analysing the growth of OpenStreetMap networks. Spatial Stat. 3:21–32.
  • Dulac J. 2013. Global land transport infrastructure requirements. Paris, France: International Energy Agency; p. 20.
  • Esch T, Himmler V, Schorcht G, Thiel M, Wehrmann T, Bachofer F, Conrad C, Schmidt M, Dech S. 2009. Large-area assessment of impervious surface based on integrated analysis of single-date Landsat-7 images and geospatial vector data. Remote Sens Environ. 113(8):1678–1690.
  • Funderburg RG, Nixon H, Boarnet MG, Ferguson G. 2010. New highways and land use change: Results from a quasi-experimental research design. Trans Res Part A Policy Practice. 44(2):76–98.
  • Geist HJ, Lambin EF. 2002. Proximate causes and underlying driving forces of tropical deforestation. BioScience. 52(2):143–150.2.0.CO;2]
  • Gerlitz JY, Macchi M, Brooks N, Pandey R, Banerjee S, Jha SK. 2017. The Multidimensional Livelihood Vulnerability Index–an instrument to measure livelihood vulnerability to change in the Hindu Kush Himalayas. Climate Dev. 9(2):124–140.
  • Girres JF, Touya G. 2010. Quality assessment of the French OpenStreetMap dataset. Trans GIS. 14(4):435–459.
  • Haklay M. 2010. How good is volunteered geographical information? A comparative study of OpenStreetMap and ordnance survey datasets. Environ Plann B Plann Des. 37(4):682–703.
  • Howarth PJ, Wickware GM. 1981. Procedures for change detection using Landsat digital data. Int J Remote Sens. 2(3):277–291.
  • Iacono MJ, Levinson DM. 2009. Predicting land use change how much does transportation matter? Transp Res Record. 2119(1):130–136.
  • Ji W, Wang Y, Zhuang D, Song D, Shen X, Wang W, Li G. 2014. Spatial and temporal distribution of expressway and its relationships to land cover and population: A case study of Beijing, China. Transp Res Part D Transp Environ. 32:86–96.
  • Kalsbeek W, Heiss G. 2000. Building bridges between populations and samples in epidemiological studies. Annu Rev Public Health. 21(1):147–169.
  • Kim DS. 2007. Location modelling of population and land-use change in rural area by new expressway. J Urban Plann Dev. 133 (3):201–210.
  • Lall SV. 2007. Infrastructure and regional growth, growth dynamics and policy relevance for India. Ann Reg Sci. 41(3):581–599.
  • Landis JR, Koch GG. 1977. The measurement of observer agreement for categorical data. Biometrics. 33(1):159–174.
  • Landsat Project S. Office 2002. Landsat 7 science data user’s handbook (Goddard Space Flight Center). Retrieved on March 10, 2019. Available online at: http://www.gsfc.nasa.gov/IAS/.handbook/handbook_toc.html
  • Laurance WF, Balmford A. 2013. A global map for road building. Nature. 495(7441):308–309.
  • Laurance WF, Clements GR, Sloan S, O’Connell CS, Mueller ND, Goosem M, Venter O, Edwards DP, Phalan B, Balmford A, et al. 2014. A global strategy for road building. Nature. 513(7517):229–232.
  • Laurance WF, Goosem M, Laurance SGW. 2009. Impacts of roads and linear clearings on tropical forests. Trends Ecol Evol. 24(12):659–669.
  • Laurance WF, Peletier-Jellema A, Geenen B, Koster H, Verweij P, Van Dijck P, Lovejoy TE, Schleicher J, Van Kuijk M. 2015. Reducing the global environmental impacts of rapid infrastructure expansion. Curr Biol. 25(7):R259–R262.
  • Laurance WF, Sloan S, Weng L, Sayer JA. 2015. Estimating the environmental costs of Africa’s massive ‘‘Development Corridors. Curr Biol. 25(24):3202–3208.
  • Laurance W. 2017. The dark legacy of China’s drive for global resources. In Yale Environment 360, Yale School of Forestry and Environmental Studies. Retrieved on March 22, 2019. Available online at
  • Liang B, Weng Q. 2008. Multi-scale analysis of census-based land surface temperature variations and determinants in Indianapolis, United States. J Urban Plann Dev. 134(3):129–139.
  • Liu R. 2009. Relationship between transportation and urban development and land use in metropolis. City. 04:69–73.
  • Liu J, Zhang Z, Xu X, Kuang W, Zhou W, Zhang S, Li R, Yan C, Yu D, Wu S, et al. 2010. Spatial patterns and driving forces of land use change in China during the early 21st century. J Geogr Sci. 20(4):483–494.
  • Mann D, Agrawal G, Joshi PK. 2019. Spatio-temporal forest cover dynamics along road networks in the Central Himalaya. Ecol Eng. 127:383–393.
  • Mcgarigal K, Cushman SA, Neel MC. 2002. FRAGSTATS: Spatial pattern analysis program for categorical maps. http://www.umass.edu/landeco/research/fragstats/fragstats.html.
  • McGarigal K, Cushman SA, Neel MC, Ene E. 2012. FRAGSTATS: spatial pattern analysis program for categorical maps, version 4.0.
  • Ministry of Road Transport and Highways. 2017. Basic road statistics of India 2015-16, Government of India. 1–68.
  • Nedbal V, Brom J. 2018. Impact of highway construction on land surface energy balance and local climate derived from LANDSAT satellite data. Sci Total Environ. 633:658–667.
  • Neher DA, Asmussen D, Lovell ST. 2013. Roads in northern hardwood forests affect adjacent plant communities and soil chemistry in proportion to the maintained roadside area. Sci Total Environ. 449:320–327.
  • Neis P, Zielstra D, Zipf A, 2012. The street network evolution of crowdsourced maps: OpenStreetMap in Germany 2007–. Future Internet. 4(1):1–21.
  • Patarasuk R, Binford M.W. 2012. Longitudinal analysis of the road network development and land-cover change in Lop Buri province, Thailand, 1989–2006. Appl Geogr. 32(2):228–239.
  • Perz S. G, Caldas M, Walker R, Arima E, Souza C. 2008. Road networks and forest Fragmentation in the Amazon: explanations for local differences with implications for conservation and development. J Latin Am Geograph. 7(2):85–104.
  • Pringle R.M, Syfert M, Webb J.K, Shine R. 2009. Quantifying historical changes in habitat availability for endangered species: use of pixel-and object-based remote sensing. J Appl Ecol. 46(3):544–553.
  • Ratner K.A, Goetz A.R. 2013. The reshaping of land use and urban form in Denver through transit-oriented development. Cities. 30:31–46.
  • Saraswati S, Parsons C.T, Strack M. 2019. Access roads impact enzyme activities in boreal forested peatlands. Sci Total Environ. 651:1405–1415.
  • Sarp G. 2014. Spectral and spatial quality analysis of pan-sharpening algorithms: A case study in Istanbul. Euro J Remote Sens. 47(1):19–28.
  • Schelhas J, Sanchez-Azofeifa G.A. 2006. Post-frontier forest change adjacent to Braulio Carrillo National Park, Costa Rica. Hum Ecol. 34(3):407–431.
  • Shiflett S.A, Liang L.L, Crum S.M, Feyisa G.L, Wang J, Jenerette G.D. 2017. Variation in the urban vegetation, surface temperature, air temperature nexus. Sci Total Environ. 579:495–505.
  • Snyder W.C, Wan Z, Zhang Y, Feng Y.Z. 1998. Classification-based emissivity for land surface temperature measurement from space. Int J Remote Sens. 19(14):2753–2774.
  • Tang J, Wang L, Zhang S. 2005. Investigating landscape pattern and its dynamics in Daqing, China. Int J Remote Sens. 26(11):2259–2280.
  • Thapa R, Murayama Y. 2009. Examining spatiotemporal urbanization patterns in Kathmandu Valley, Nepal: Remote sensing and spatial metrics approaches. Remote Sens. 1(3):534–556.
  • Tiwari P.C, Joshi B. 2014. Environmental changes and their impact on rural water, food, livelihood and health security in Kumaon Himalayas. J Urban and Regional Studies Contemporary India. 1(1):1–12.
  • Trombulak S.C, Frissell C.A. 2000. Review of ecological effects of roads on terrestrial and aquatic communities. Conserv Biol. 14(1):18–30.
  • Voogt J. A, Oke T. R. 2003. Thermal remote sensing of urban climates. Remote Sens Environ. 86(3):370–384.
  • Weng Q. 2009. Thermal infrared remote sensing for urban climate and environmental studies: Methods, applications, and trends. ISPRS J Photogramm Remote Sens. 64(4):335–344.
  • Weng Q.H. 2002. Land use change analysis in the Zhujiang Delta of China using satellite remote sensing, GIS and stochastic modelling. J Environ Manage. 64 (3):273–284.
  • Weng Q, Lu D, Schubring J. 2004. Estimation of land surface temperature–vegetation abundance relationship for urban heat island studies. Remote Sens Environ. 89(4):467–483.
  • Wilcox Z, Nohrová N. 2014. Delivering change: Making transport work for cities. Centre for Cities. Retrieved on March 26, 2019. Available online: https://www.centreforcities.org/reader/delivering-change-making-transport-work-for-cities/transport-essential-growth-cities/.
  • Xian G, Homer C. 2010. Updating the 2001 National Land Cover Database impervious surface products to 2006 using Landsat imagery change detection methods. Remote Sens Environ. 114(8):1676–1686.
  • Xiao R, Weng Q, Ouyang Z, Li W, Schienke E, Zhang Z. 2008. Land surface temperature variation and major factors in Beijing. Photogramm Eng Remote Sensing. 74(4):451–461.
  • York A M, Shrestha M, Boone C G, Zhang S, Harrington J A, Prebyl T J, Swann A, Agar M, Antolin M F, Nolen B, et al. 2011. Land fragmentation under rapid urbanization: a cross-site analysis of Southwestern cities. Urban Ecosyst. 14(3):429–455.
  • Zhang J, Wang Y, Li Y. 2006. A C++ program for retrieving land surface temperature from the data of Landsat TM/ETM + band6. Comput Geosci. 32(10):1796–1805.
  • Zhang Q, Wang J, Peng X, Gong P, Shi P. 2002. Urban built-up land change detection with road density and spectral information from multi-temporal Landsat TM data. Int J Remote Sens. 23(15):3057–3078.
  • Zhang Y, Yan J, Liu L, et al. 2002. Impact of Qinghai–Xizang Highway on land use and landscape pattern change: from Golmud to Tanggulashan Pass. Acta Geograph Sin. 57 (3):253–266.
  • Zhao Y, Zhang K, Fu Y, Zhang H. 2012. Examining land-use/land-cover change in the Lake Dianchi Watershed of the Yunnan-Guizhou Plateau of southwest China with remote sensing and GIS techniques: 1974–2008. IJERPH. 9(11):3843–3865.

Reprints and Corporate Permissions

Please note: Selecting permissions does not provide access to the full text of the article, please see our help page How do I view content?

To request a reprint or corporate permissions for this article, please click on the relevant link below:

Academic Permissions

Please note: Selecting permissions does not provide access to the full text of the article, please see our help page How do I view content?

Obtain permissions instantly via Rightslink by clicking on the button below:

If you are unable to obtain permissions via Rightslink, please complete and submit this Permissions form. For more information, please visit our Permissions help page.