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A new artificial oasis landscape dynamics in semi-arid Hongsipu region with decadal agricultural irrigation development in Ning Xia, China

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Abstract

Understanding the ecological mechanisms and processes driving changes in our landscapes is significant for ecological conservation. This work used remote sensing with the extending contingency-based method to quantify the interchange relationship of land use types, and landscape metrics including spatially nuanced difference at patch level to track immigrants’ resettlement impacts at the semi-arid Hongsipu region with decadal agricultural pumping irrigation development in Ning Xia, China. Landsat-TM images acquired in 1989, 1999, 2003, and 2008 were used to study landscape changes in three periods, the earlier development from 1989 to 1999, the middle period in 1999–2003, and final stage in 2003–2008. The results showed the over 50 % landscape area experienced drastic change in each period with heavy immigrants’ perturbations since 1998. The nearly natural landscape with 1:1 area between desert and steppe in 1989 10 years before development, however, became the overwhelming barren landscape with almost 80 % of the study area in 2008, grassland and shrub land almost disappeared respectively, and cultivated land climbed to the third large type from about 2 % in 1989 to more than 16 % in 2008. The landscape became more fragmented, more regular shape with human disturbance spreading from the northwest low mountain and flat basin to the southeast diluvial fan, even high mountain at the end. Although Hongsipu pumping irrigation zone alleviates poor population pressure in the fragile ecological southern mountainous areas of Ningxia, the new artificial oasis creates another possible new ecological risk of the study area. Therefore, besides the economic development, the ecological conservation and restoration measures should be also the primary objectives in order to successful resettlement immigrants.

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References

  • Abuelgasim AA, Ross WD, Gopal S, Woodcock CE (1999) Change detection using adaptive fuzzy neural networks: environmental damage assessment after the Gulf War. Remote Sens Environ 70:208–223. doi:10.1016/S0034-4257(99)00039-5

    Article  Google Scholar 

  • Bolstad PV, Lillesand TM (1991) Rapid maximum likelihood classification. Photogramm Eng Remote Sens 57:64–74

    Google Scholar 

  • Dai XL, Khorram S (1999) Remotely sensed change detection based on artificial neural networks. Photogramm Eng Remote Sens 65:1187–1194

    Google Scholar 

  • Foody GM (2002) Status of land cover classification accuracy assessment. Remote Sens Environ 80:185–201. doi:10.1016/S0034-4257(01)00295-4

    Article  Google Scholar 

  • Hagen A (2002) Multi-method assessment of map similarity. In: Ruiz M, Gould M, Ramon J (eds) Proceedings of the Fifth AGILE Conference on Geographic Information Science, Palma, Spain, pp 171–182

  • Hagen-Zanker A (2006) Map comparison methods that simultaneously address overlap and structure. J Geogr Syst 8:165–185. doi:10.1007/s10109-006-0024-y

    Article  Google Scholar 

  • Han XL, Gao GY (2010) Effect analysis of the ecological immigrants development in Hongsipu, Ningxia Province. Yellow River 32:6–8

    Google Scholar 

  • Hodgson ME, Jensen JR, Mackey HE Jr, Coulter MC (1988) Monitoring wood stork foraging habitat using remote sensing and geographic information systems. Photogramm Eng Remote Sens 54:1601–1607

    Google Scholar 

  • Hussain M, Chen DM, Cheng A, Wei H, Stanley D (2013) Change detection from remotely sensed images: from pixel-based to object-based approaches. ISPRS J Photogramm Remote Sens 80:91–106. doi:10.1016/j.isprsjprs.2013.03.006

    Article  Google Scholar 

  • Jensen JR, Mackey HE Jr, Christensen EJ, Sharitz RR (1987) Inland wetland change detection using aircraft MSS data. Photogramm Eng Remote Sens 53:521–529

    Google Scholar 

  • Jin G, Ma YL (1998) On existing problems of soil in Hongsipu pumping irrigation area and ways to ameliorate and exploit it. Ningxia Agro-For Sci Technol 5:25–27

    Google Scholar 

  • Kepner WG, Watts CJ, Edmonds CM, Maingi JK, Marsh SE, Luna G (2000) A landscape approach for detecting and evaluating change in a semi-arid environment. Environ Monit Assess 64:179–195. doi:10.1023/A:1006427909616

    Article  Google Scholar 

  • Lambin EF, Strahler AH (1994) Change vector analysis in multi-temporal space: a tool to detect and categorize land-cover change processes using high temporal resolution satellite data. Remote Sens Environ 48:231–244. doi:10.1016/0034-4257(94)90144-9

    Article  Google Scholar 

  • Lan J, Guo SJ (2003) The status, degradation cause and improvement measures of grassland in Hongsipu region. J Ningxia Agric Coll 2:86–88

    Google Scholar 

  • Lu D, Mausel P, Brondizio E, Brondizio E, Moran E (2004) Change detection techniques. Int J Remote Sens 25:2365–2407. doi:10.1080/0143116031000139863

    Article  Google Scholar 

  • Lu CL, Zhu ZL, Wang CL (2015) Temporal and spatial change of land use of eco-immigration area in middle part of Ningxia Province. J West China For Sci 44:58–63

    Google Scholar 

  • Mas JF (1999) Monitoring land-cover changes: a comparison of change detection techniques. Int J Remote Sens 20:139–152. doi:10.1080/014311699213659

    Article  Google Scholar 

  • Mather PM (1985) A computationally-efficient maximum-likelihood classifier employing prior probabilities for remotely sensed data. Int J Remote Sens 6:369–376

    Article  Google Scholar 

  • McGarigal K, Cushman SA, Neel MC et al (2002) FRAGSTATS: spatial pattern analysis program for categorical maps. Computer software program produced by the authors at the University of Massachusetts, Amherst. Available at the following web site: http://www.umass.edu/landeco/research/fragstats/fragstats.html

  • Pan P, Mao LM, Zhao T, Yang JF (2001) Soil sandification in Hongsipu irrigation zone. Ningxia Agro-For Sci Technol 4:47–48

    Google Scholar 

  • Pat S, Chavez JR (1988) An improved dark-object subtraction technique for atmospheric scattering correction of multispectral data. Remote Sens Environ 24:459–479

    Article  Google Scholar 

  • Power C, Simms A, White R (2001) Hierarchical fuzzy pattern matching for the regional comparison of land use maps. Int J Geogr Inf Sci 15:77–100. doi:10.1080/136588100750058715

    Article  Google Scholar 

  • RIKS BV (2009) Map Comparison Kit3 User manual, RIKS report, Available from: http://www.riks.nl/mck

  • Seixas J (2000) Assessing heterogeneity from remote sensing images: the case of desertification in southern Portugal. Int J Remote Sens 21:2645–2663. doi:10.1080/01431160050110214

    Article  Google Scholar 

  • Singh A (1989) Digital change detection techniques using remotely sensed data. Int J Remote Sens 10:989–1003

    Article  Google Scholar 

  • Stow DA, Chen DM (2002) Sensitivity of multitemporal NOAA AVHRR data of an urbanizing region to land-use/land-cover change and misregistration. Remote Sens Environ 80:297–307. doi:10.1016/S0034-4257(01)00311-X

    Article  Google Scholar 

  • Sun DF, Richard D, Li H, Li BG (2005) Modeling desertification change in Minqin County, China. Environ Monit Assess 108:169–188. doi:10.1007/s10661-005-4221-9

    Article  Google Scholar 

  • Sun DF, Richard D, Li H, Wei R, Li BG (2007) A landscape connectivity index for assessing desertification: a case study of Minqin county, China. Landsc Ecol 22:531–543. doi:10.1007/s10980-006-9046-6

    Article  Google Scholar 

  • Turner MG, O’Neill RV, Gardner RH, Milne BT (1989) Effects of changing spatial scale on the analysis of landscape pattern. Landsc Ecol 3:153–162. doi:10.1007/BF00131534

    Article  Google Scholar 

  • van Vliet J, Bregt KA, Hagen-Zanker A (2011) Revisiting Kappa to account for change in the accuracy assessment of land-use change models. Ecol Model 222:1367–1375. doi:10.1016/j.ecolmodel.2011.01.017

    Article  Google Scholar 

  • Visser H, de Nijs T (2006) The map comparison kit. Environ Model Softw 21:346–358. doi:10.1016/j.envsoft.2004.11.013

    Article  Google Scholar 

  • Weismiller RA, Kristof SJ, Scholz PE, Anuta PE, Momin SA (1977) Change detection in Coastal Zone environments. Photogramm Eng Remote Sens 43:1533–1539

    Google Scholar 

  • Wickware GM, Howarth PJ (1981) Procedures for change detection using Landsat digital data. Int J Remote Sens 2:277–291

    Article  Google Scholar 

  • Xie YC, Gong J, Sun P, Gou XH (2014) Oasis dynamics change and its influence on landscape pattern on Jinta oasis in arid China from 1963a to 2010a: Integration of multi-source satellite images. Int J Appl Earth Obs Geoinf 33:181–191. doi:10.1016/j.jag.2014.05.008

    Article  Google Scholar 

  • Yang XG, Song NP (2011) Soil sandy desertification and salinization and their interrelationships in Yanghuang irrigated area of Hongsipu, Ningxia of Northwest China. Chin J Appl Ecol 22:2265–2271

    Google Scholar 

  • Yin YX, Yang J, Chen TY, Wang JB (2001) Agricultural environmental quality monitoring and evaluation in Hongsipu region. Ningxia Agro-For Sci Technol 6:10–16

    Google Scholar 

  • Zhang JH, Jia KL (2011) Improvement effect of secondary stalinization soil in irrigation region of Yellow River of Hongsipu, Ningxia. Soils 43:650–656

    Google Scholar 

Download references

Acknowledgments

The valuable comments and suggestions for the manuscript from the two anonymous reviewers are much appreciated. We are very grateful to the Editor-in-Chief Hassan A. Babaie for his helpful suggestions. This research was supported by the National Natural Science Foundation with fund number of No. 41071146 and No.41130526.

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Correspondence to Danfeng Sun.

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Communicated by: H. A. Babaie

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Sun, D., Yu, X., Liu, X. et al. A new artificial oasis landscape dynamics in semi-arid Hongsipu region with decadal agricultural irrigation development in Ning Xia, China. Earth Sci Inform 9, 21–33 (2016). https://doi.org/10.1007/s12145-015-0228-0

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