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Environmental monitoring and assessment of landscape dynamics in southern coast of the Caspian Sea through intensity analysis and imprecise land-use data

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Abstract

A hierarchical intensity analysis of land-use change is applied to evaluate the dynamics of a coupled urban coastal system in Rasht County, Iran. Temporal land-use layers of 1987, 1999, and 2011 are employed, while spatial accuracy metrics are only available for 2011 data (overall accuracy of 94%). The errors in 1987 and 1999 layers are unknown, which can influence the accuracy of temporal change information. Such data were employed to examine the size and the type of errors that could justify deviations from uniform change intensities. Accordingly, errors comprising 3.31 and 7.47% of 1999 and 2011 maps, respectively, could explain all differences from uniform gains and errors including 5.21 and 1.81% of 1987 and 1999 maps, respectively, could explain all deviations from uniform losses. Additional historical information is also applied for uncertainty assessment and to separate probable map errors from actual land-use changes. In this regard, historical processes in Rasht County can explain different types of transition that are either consistent or inconsistent to known processes. The intensity analysis assisted in identification of systematic transitions and detection of competitive categories, which cannot be investigated through conventional change detection methods. Based on results, built-up area is the most active gaining category in the area and wetland category with less areal extent is more sensitive to intense land-use change processes. Uncertainty assessment results also indicated that there are no considerable classification errors in temporal land-use data and these imprecise layers can reliably provide implications for informed decision making.

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References

  • Afrakhteh, R., Asgarian, A., Sakieh, Y., & Soffianian, A. (2016). Evaluating the strategy of integrated urban-rural planning system and analyzing its effects on land surface temperature in a rapidly developing region. Habitat International, 56, 147–156.

    Article  Google Scholar 

  • Akinyemi, F. O., Pontius Jr., R. G., & Braimoh, A. K. (2016). Land change dynamics: insights from intensity analysis applied to an African emerging city. Spatial Science. doi:10.1080/14498596.2016.1196624.

    Google Scholar 

  • Aldwaik, S. Z., & Pontius Jr., R. G. (2012). Intensity analysis to unify measurements of size and stationarity of land changes by interval, category, and transition. Landscape and Urban Planning, 106(1), 103–114.

    Article  Google Scholar 

  • Aldwaik, S. Z., & Pontius Jr., R. G. (2013). Map errors that could account for deviations from a uniform intensity of land change. International Journal of Geographical Information Science, 27(9), 1717–1739.

    Article  Google Scholar 

  • Alo, C. A., & Pontius Jr., R. G. (2008). Identifying systematic land-cover transitions using remote sensing and GIS: The fate of forests inside and outside protected areas of southwestern Ghana. Environment and Planning B: Planning and Design, 35(2), 280–295.

    Article  Google Scholar 

  • Asgarian, A., Amiri, B. J., & Sakieh, Y. (2015). Assessing the effect of green cover spatial patterns on urban land surface temperature using landscape metrics approach. Urban Ecosystems, 18(1), 209–222.

    Article  Google Scholar 

  • Barbier, E. B. (2007). Valuing ecosystem services as productive inputs. Economic Policy, 22, 177–229.

    Article  Google Scholar 

  • Boateng, I. (2012). GIS assessment of coastal vulnerability to climate change and coastal adaption planning in Vietnam. Coastal Conservation, 16(1), 25–36.

    Article  Google Scholar 

  • Bortels, L., Chan, J. C. W., Merken, R., & Koedam, N. (2011). Long-term monitoring of wetlands along the western-Greek bird migration route using landsat and ASTER satellite images: Amvrakikos Gulf (Greece). Journal for Nature Conservation, 19(4), 215–223.

    Article  Google Scholar 

  • Bouziani, M., Goïta, K., & He, D.-C. (2010). Automatic change detection of buildings in urban environment from very high spatial resolution images using existing geodatabase and prior knowledge. ISPRS Journal of Photogrammetry and Remote Sensing, 65, 143–153.

    Article  Google Scholar 

  • Camilleri, S., De Giglio, M., Stecchi, F., & Pérez-Hurtado, A. (2016). Land use and land cover change analysis in predominantly man-made coastal wetlands: towards a methodological framework. Wetlands Ecology and Management. doi:10.1007/s11273-016-9500-4.

    Google Scholar 

  • Dahdouh-guebas, F. (2002). The use of remote sensing and GIS in the sustainable management of tropical coastal ecosystems. Environment, Development and Sustainability, 4(2), 93–112.

    Article  Google Scholar 

  • de Kok, J., Engelen, G., White, R., & Wind, H. G. (2001). Modeling land-use change in adecision-support system for coastal-zone management. Environmental Modelihg and Assessment, 6(2), 123–132.

    Article  Google Scholar 

  • Dezhkam S. 2013. Analysis of trend and pattern of urban growth using landscape ecology approach (case study: Rasht county). Dissertation, University of Tehran.

  • Dezhkam, S., Amiri, B. J., Darvishsefat, A. A., & Sakieh, Y. (2014). Simulating urban growth dimensions and scenario prediction through sleuth model: a case study of Rasht County, Guilan, Iran. GeoJournal, 79(5), 591–604.

    Article  Google Scholar 

  • Dezhkam, S., Amiri, B. J., & Darvishsefat, A. A. (2015a). Landscape change detection using synoptic analysis and satellite imagery (case study: Rasht County). Natural Environment, 68(2), 225–238 [text in Persian].

    Google Scholar 

  • Dezhkam, S., Amiri, B. J., & Darvishsefat, A. A. (2015b). Prediction of land-use change in Rasht County using cellular automata-Markov chain model. Environmental Researches, 11, 193–204 [text in Persian].

    Google Scholar 

  • Dezhkam, S., Amiri, B. J., Darvishsefat, A. A., & Sakieh, Y. (2016). Performance evaluation of land change simulation models using landscape metrics. Geocarto International. doi:10.1080/10106049.2016.1167967.

    Google Scholar 

  • Ellis, J. T., Spurce, J. P., Roberta, A. S., Swann, R. A., Smoot, J. C., & Hilbert, K. W. (2011). An assessment of coastal land-use and land-cover change from 1974–2008 in the vicinity of Mobile Bay, Alabama. Coastal Conservation, 15(1), 139–149.

    Article  Google Scholar 

  • Eshleman, K. N. (2004). Hydrological consequences of land use changes: a review of the state-science. American Geophysical Union, Washington. doi:10.1029/153GM03.

    Google Scholar 

  • Herold, M., Goldstein, N. C., & Clarke, K. C. (2003). The spatiotemporal form of urban growth: measurement, analysis and modeling. Journal of Remote Sensing of Environment, 86(3), 286–302.

    Article  Google Scholar 

  • Huang, J., Pontius Jr., R. G., Li, Q., & Zhang, Y. (2012). Use of intensity analysis to link patterns with processes of land change from 1986 to 2007 in a coastal watershed of Southeast China. Applied Geography, 34, 371–384.

    Article  Google Scholar 

  • Hussain, M., Chen, D., Cheng, A., Wei, H., & Stanley, D. (2013). Change detection from remotely sensed images: from pixel-based to object-based approaches. ISPRS Journal of Photogrammetry and Remote Sensing, 80, 91–106.

    Article  Google Scholar 

  • Iranian Statistics Center .(2012). General census of population and housing of Rasht City

  • Jamshidi, S., & Bastami, K. D. (2016). Metal contamination and its ecological risk assessment in the surface of Anzali Wetland, Caspian Sea. Marine Pollution Bulletin. doi:10.1016/j.marpolbul.2016.08.049.

    Google Scholar 

  • Jokar, J., Helbich, M., Kainz, W., & Darvishi Boloorani, A. (2013). Integration of logistic regression, Markov chain and cellular automata models to simulate urban expansion. International Journal of Applied Earth Observation and Geoinformation, 21, 265–275.

    Article  Google Scholar 

  • Khoshkam, M., Marzuki, A., & Al-Mulali, U. (2016). Socio-demographic effects on Anzali Wetland tourism development. Tourism Management, 54, 96–106.

    Article  Google Scholar 

  • Lechner, A. M., Langford, W. T., Bekessy, S. A., & Jones, S. D. (2012). Are landscape ecologist addressing uncertainty in their remote sensing data? Landscape Ecology, 7(9), 1249–1261.

    Article  Google Scholar 

  • Lechner, A. M., Reinke, K. J., Wang, Y., & Bastin, L. (2013). Interactions between landcover pattern and geospatial processing methods: effects on landscape metrics and classification accuracy. Ecol Complexity., 15, 71–82.

    Article  Google Scholar 

  • Luck, M., & Wu, J. G. (2002). A gradient analysis of urban landscape pattern: a case study from the Phoenix metropolitan region, Arizona, USA. Landscape Ecology, 17(4), 327–339.

    Article  Google Scholar 

  • Mahiny, A. S., & Clarke, K. C. (2012). Guiding SLEUTH land-use/land-cover change modeling using multicriteria evaluation: towards dynamic sustainable land-use planning. Environment and Planning B: Planning and Design, 39(5), 925–944.

    Article  Google Scholar 

  • Mahiny, A. S., & Clarke, K. C. (2013). Simulating hydrologic impacts of urban growth using SLEUTH, multi criteria evaluation and runoff modeling. Environmental Informatics, 22(1), 27–38.

    Article  Google Scholar 

  • Manandhar, R., Odeh, I. O. A., & Pontius Jr., R. G. (2010). Analysis of twenty years of categorical land transitions in the lower Hunter of New South Wales, Australia. Agriculture, Ecosystems & Environment, 135(4), 336–346.

    Article  Google Scholar 

  • Millennium Ecosystem Assessment. (2005). Ecosystems and human well being: synthesis. Washington, DC: World Resources Institute.

    Google Scholar 

  • Mortazavi, S., Bakhtiari, A. R., Sari, A. E., Bahramifar, N., & Rahbarizade, F. (2012). Phenolic endocrine disrupting chemicals (EDCs) in Anzali Wetland, Iran: elevated concentrations of 4-nonylphenol, octhylphenol and bisphenol A. Marine Pollution Bulletin, 64(5), 1967–1073.

    Article  Google Scholar 

  • Nagelkerken, I., Blaber, S. J. M., Bouillon, S., Green, P., Haywood, M., Kirton, L. G., Meynecke, J. O., Pawlik, J., Penrose, H. M., Sasekumar, A., & Somerfield, P. J. (2008). The habitat function of mangroves for terrestrial and marine fauna: a review. Aquatic Botany, 89(2), 155–185.

    Article  Google Scholar 

  • Noori, N., Kalin, L., Sen, S., Srivastava, P., & Lebleu, C. (2016). Identifying areas sensitive to land use/land cover change for downstream flooding in a coastal Alabama watershed. Regional Environmental Change, 16(6), 1833–1845.

    Article  Google Scholar 

  • Ozesmi, S. L., & Bauer, M. E. (2002). Satellite remote sensing of wetlands. Wetlands Ecology and Management, 10, 381–402.

    Article  Google Scholar 

  • Pickett, S. T. A., Cadenasso, M. L., Grove, J. M., Boone, C. G., Groffman, P. M., Irwin, E., Kaushal, S. S., Marsall, B., McGrath, B. P., Nilon, C. H., Pouyat, R. V., Azlavecz, K., Troy, A., & Warren, P. (2011). Urban ecological systems: scientific foundations anda decade of progress. J. Eviron. Manage., 92(3), 331–362.

    CAS  Google Scholar 

  • Pontius Jr., R. G., Shusas, E., & McEachern, M. (2004). Detecting important categorical land changes while accounting for persistence. Agriculture, Ecosystems & Environment, 101(2–3), 251–268.

    Article  Google Scholar 

  • Pontius Jr., R. G., Gao, Y., Nicholas, M. G., Kohyama, T., Osaki, M., & Hirose, K. (2013). Design and interpretation of intensity analysis illustrated by land change in Central Kalimantan, Indonesia. Land, 2(3), 351–369.

    Article  Google Scholar 

  • Rafiee, R., Mahiny, A. S., Khorasani, N., Darvishsefat, A. A., & Danekar, A. (2009). Simulating urban growth in Mashad City, Iran through the SLEUTH model (UGM). Cities, 26, 19–26.

    Article  Google Scholar 

  • Romero-Ruiz, M. H., Flantua, S. G. A., Tansey, K., & Berrio, J. C. (2011). Landscape transitions in savannas of northern South America: land use/cover changes since 1987 in the Llanos Orientales of Colombia. Applied Geography, 32(2), 766–776.

    Article  Google Scholar 

  • Sakieh, Y., & Salmanmahiny, A. (2016). Treating a cancerous landscape: implications from medical sciences for urban and landscape planning in a developing region. Habitat International. doi:10.1016/j.habitatint.2016.03.008.

    Google Scholar 

  • Sakieh, Y., Amiri, B. J., Danekar, A., Feghhi, J., & Dezhkam, S. (2015a). Scenario-based evaluation of urban development sustainability: an integrative modeling approach to compromise between urbanization suitability index and landscape pattern. Environment, Development and Sustainability, 17(6), 1343–1365.

    Article  Google Scholar 

  • Sakieh, Y., Amiri, B. J., Danekar, A., Feghhi, J., & Dezhkam, S. (2015b). Simulating urban expansion and scenario prediction using a cellular automata urban growth model, SLEUTH, through a case study of Karaj City, Iran. Journal of Housing and the Built Environment, 30(4), 591–611.

    Article  Google Scholar 

  • Sakieh, Y., Salmanmahiny, A., Jafarnezhad, J., Mehri, A., Kamyab, H., & Galdavi, S. (2015c). Evaluating the strategy of decentralized urban land-use planning in a developing region. Land Use Policy, 48, 534–551.

    Article  Google Scholar 

  • Sakieh, Y., Salmanmahiny, A., Mirkarimi, S. H., & Saeidi, S. (2016). Measuring the relationships between landscape aesthetics suitability and spatial patterns of urbanized lands: an informed modeling framework for developing urban growth scenarios. Geocarto International. doi:10.1080/10106049.2016.1178817.

    Google Scholar 

  • Salamat, N., Etemadi-Deylami, E., Movahedinia, A., & Mohammadi, Y. (2014). Heavy metals in selected tissues and histopathological changes in liver and kidney of common moorhen (Gallinula chloropus) from Anzali Wetland, the South Caspian Sea, Iran. Ecotoxicology and Environmental Safety, 110, 298–307.

    Article  CAS  Google Scholar 

  • Shao, G., & Wu, W. (2004). The effects of classification accuracy on landscape indices. In R. S. Lunetta & J. G. Lyon (Eds.), Remote sensing and GIS accuracy assessment (pp. 209–220). Boca Raton, FL: CRC Press.

    Chapter  Google Scholar 

  • Shao, G., & Wu, J. (2008). On the accuracy of landscape pattern analysis using remote sensing data. Landscape Ecology, 23(5), 505–511.

    Article  Google Scholar 

  • Shao, G., Liu, D., & Zhao, G. (2001). Relationships of image classification accuracy and variation of landscape statistics. Can J Rem Sens, 27(1), 33–43.

    Article  Google Scholar 

  • Small, C., & Nicholls, R. J. (2003). A global analysis of human settlement in coastal zones. Journal of Coastal Research, 19(3), 584–599.

    Google Scholar 

  • Sripanomyom, S., Round, P. D., Savini, T., Trisurat, Y., & Gale, G. A. (2011). Traditional salt-pans hold major concentrations of overwintering shorebirds in Southeast Asia. Biological Conservation, 144(1), 526–537.

    Article  Google Scholar 

  • Stevens, A., & Collins, L. (2011). Development and application of GIS datasets for assessing and managing coastal impacts and future change on the central coast of Western Australia. Coastal Conservation, 15(4), 671–685.

    Article  Google Scholar 

  • Teferi, E., Uhlenbrook, S., Bewket, W., Wenninger, J., & Simane, B. (2010). The use of remote sensing to quantify wetland loss in the Choke Mountain range, Upper Blue Nile basin, Ethiopia. Hydrology and Earth System Sciences, 7(4), 2415–2428.

    Article  Google Scholar 

  • Teixeira, Z., Marques, J. C., & Pontius Jr., R. G. (2016). Evidence for deviations from uniform changes in a Portuguese watershed illustrated by CORINE maps: an intensity analysis approach. Ecological Indicators, 66, 382–390.

    Article  Google Scholar 

  • Villamor, G. B., Pontius Jr., R. G., & Van Noordwijk, M. (2014). Agroforest’s growing role in carbon losses from Jambi (Sumatra), Indonesia. Regional Environmental Change, 14(2), 825–834.

    Article  Google Scholar 

  • Walters, B. R., Rönnbäck, P., Kovacs, J. M., Crona, B., Hussain, S. A., Badola, R., Primavera, J. H., Barbier, E., & Dahdouh-Guebas, F. (2008). Aquatic Botany, 89, 220–236.

    Article  Google Scholar 

  • Wu, J. G. (2014). Urban ecology and sustainability: the state-of-the-science and future directions. Landscape and Urban Planning, 125, 209–221.

    Article  Google Scholar 

  • Zhou, P., Huang, J., Pontius, R. G., & Hong, H. (2014). Land classification and change intensity analysis in a coastal watershed of Southeast China. Sensors, 14(7), 11640–11658.

    Article  Google Scholar 

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Hasani, M., Sakieh, Y., Dezhkam, S. et al. Environmental monitoring and assessment of landscape dynamics in southern coast of the Caspian Sea through intensity analysis and imprecise land-use data. Environ Monit Assess 189, 163 (2017). https://doi.org/10.1007/s10661-017-5883-9

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