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Understanding Land System Change Through Scenario-Based Simulations: A Case Study from the Drylands in Northern China

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Abstract

The drylands in northern China are expected to face dramatic land system change in the context of socioeconomic development and environmental conservation. Recent studies have addressed changes of land cover with socioeconomic development in the drylands in northern China. However, the changes in land use intensity and the potential role of environmental conservation measures have yet to be adequately examined. Given the importance of land management intensity to the ecological conditions and regional sustainability, our study projected land system change in Hohhot city in the drylands in northern China from 2013 to 2030. Here, land systems are defined as combinations of land cover and land use intensity. Using the CLUMondo model, we simulated land system change in Hohhot under three scenarios: a scenario following historical trends, a scenario with strong socioeconomic and land use planning, and a scenario focused on achieving environmental conservation targets. Our results showed that Hohhot is likely to experience agricultural intensification and urban growth under all three scenarios. The agricultural intensity and the urban growth rate were much higher under the historical trend scenario compared to those with more planning interventions. The dynamics of grasslands depend strongly on projections of livestock and other claims on land resources. In the historical trend scenario, intensively grazed grasslands increase whereas a large amount of the current area of grasslands with livestock converts to forest under the scenario with strong planning. Strong conversion from grasslands with livestock and extensive cropland to semi-natural grasslands was estimated under the conservation scenario. The findings provide an input into discussions about environmental management, planning and sustainable land system design for Hohhot.

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References

  • Angel S, Parent J, Civco DL, Blei A, Potere D (2011) The dimensions of global urban expansion: estimates and projections of all countries, 2000–2050. Prog Plan 75:53–107

    Article  Google Scholar 

  • Berling-Wolff S, Wu JG (2004) Modeling urban landscape dynamics: a case study in Phoenix, USA. Urban Ecosyst 7:215–240

    Article  Google Scholar 

  • Butchart SH et al. (2015) Shortfalls and solutions for meeting national and global conservation area targets. Conserv Lett 8:329–337

    Article  Google Scholar 

  • Buyantuyev A, Wu JG (2009) Urbanization alters spatiotemporal patterns of ecosystem primary production: a case study of the Phoenix metropolitan region, USA. J Arid Environ 73:512–520. doi:10.1016/j.jaridenv.2008.12.015

    Article  Google Scholar 

  • Cao SX, Chen L, Shankman D, Wang CM, Wang XB, Zhang H (2011) Excessive reliance on afforestation in China’s arid and semi-arid regions: Lessons in ecological restoration. Earth Sci Rev 104:240–245. doi:10.1016/j.earscirev.2010.11.002

    Article  Google Scholar 

  • Chen J (2007) Rapid urbanization in China: a real challenge to soil protection and food security. Catena 69:1–15

    Article  Google Scholar 

  • Chen YH, Li XB, Su W, Li Y (2008) Simulating the optimal land-use pattern in the farming-pastoral transitional zone of Northern China. Comput Environ Urban 32:407–414. doi:10.1016/j.compenvurbsys.2008.01.001

    Article  Google Scholar 

  • Deng XZ, Huang JK, Lin YZ, Shi QL (2013) Interactions between climate, socioeconomics, and land dynamics in Qinghai Province, China: a LUCD model-based numerical experiment. Adv Meteorol 10.1155/2013/297926

  • FAO/IIASA/ISRIC/ISS-CAS/JRC (2009) Harmonized world soil database (version 1.1). FAO, IIASA, Rome, Laxenburg

    Google Scholar 

  • Global Land Project (GLP) (2005) Science plan and implementation strategy. IGBP Secretariat, Stockholm

    Google Scholar 

  • Guo JH et al. (2010) Significant acidification in major Chinese croplands. Science 327:1008–1010

    Article  CAS  Google Scholar 

  • Han LJ, Zhou WQ, Li WF (2015) City as a major source area of fine particulate (PM 2.5) in China. Environ Pollut 206:183–187

    Article  CAS  Google Scholar 

  • Hasbagen BaoY, Li B (2008) The systematical study of the land carrying capacity of Hohhot. J Arid Land Resour Environ 22:26–32. in Chinese

    Google Scholar 

  • He CY, Liu ZF, Tian J, Ma Q (2014) Urban expansion dynamics and natural habitat loss in China: a multi-scale landscape perspective. Glob Change Biol 20:2886–2902. doi:10.1111/gcb.12553

    Article  Google Scholar 

  • He CY et al. (2005) Developing land use scenario dynamics model by the integration of system dynamics model and cellular automata model. Sci China Ser D 48:1979–1989

    Article  Google Scholar 

  • He CY, Zhang D, Huang QX, Zhao YY (2016) Assessing the potential impacts of urban expansion on regional carbon storage by linking the LUSD-urban and InVEST models. Environ Model Softw 75:44–58

    Article  Google Scholar 

  • Huang QX, He CY, Liu ZF, Shi PJ (2014) Modeling the impacts of drying trend scenarios on land systems in northern China using an integrated SD and CA model. Sci China Earth Sci 57:839–854

    Article  Google Scholar 

  • Jenerette GD, Wu JG (2001) Analysis and simulation of land-use change in the central Arizona–Phoenix region, USA. Landsc Ecol 16:611–626

    Article  Google Scholar 

  • Kamusoko C, Aniya M, Adi B, Manjoro M (2009) Rural sustainability under threat in Zimbabwe—simulation of future land use/cover changes in the Bindura district based on the Markov-cellular automata model. Appl Geogr 29:435–447. doi:10.1016/j.apgeog.2008.10.002

    Article  Google Scholar 

  • Kuemmerle T et al. (2013) Challenges and opportunities in mapping land use intensity globally. Curr Opin Environ Sustain 5:484–493. doi:10.1016/j.cosust.2013.06.002

    Article  Google Scholar 

  • Li JW, Liu ZF, He CY, Tu W, Sun ZX (2016) Are the drylands in northern China sustainable? A perspective from ecological footprint dynamics from 1990 to 2010. Sci Total Environ 553:223–231. doi:10.1016/j.scitotenv.2016.02.088

    Article  CAS  Google Scholar 

  • Li X, Liu XP (2008) Embedding sustainable development strategies in agent-based models for use as a planning tool International. J Geogr Inf Sci 22:21–45. doi:10.1080/13658810701228686

    Article  Google Scholar 

  • Liu J, Zhang Q, Hu Y (2012) Regional differences of China’s urban expansion from late 20th to early 21st century based on remote sensing information. Chin Geogr Sci 22:1–14

    Article  Google Scholar 

  • Liu JY et al. (2010) Spatial patterns and driving forces of land use change in China during the early 21st century. J Geogr Sci 20:483–494

    Article  Google Scholar 

  • Liu ZF, He CY, Wu JG (2016a) General spatiotemporal patterns of urbanization: an examination of 16 World cities. Sustainability 8:41

    Article  Google Scholar 

  • Liu ZF, He CY, Wu JG (2016b) The relationship between habitat loss and fragmentation during urbanization: an empirical evaluation from 16 world cities. PLoS One 11:e0154613. doi:10.1371/journal.pone.0154613

    Article  Google Scholar 

  • Matthews RB, Gilbert NG, Roach A, Polhill JG, Gotts NM (2007) Agent-based land-use models: a review of applications. Landsc Ecol 22:1447–1459. doi:10.1007/s10980-007-9135-1

    Article  Google Scholar 

  • Millennium Ecosystem Assessment (MEA) (2005) Ecosystems and human well-being: current state and trends. Island Press, Washington

    Google Scholar 

  • Muller D, Sun ZL, Vongvisouk T, Pflugmacher D, Xu JC, Mertz O (2014) Regime shifts limit the predictability of land-system change. Glob Environ Change 28:75–83. doi:10.1016/j.gloenvcha.2014.06.003

    Article  Google Scholar 

  • National Development and Reform Commission of China (2008) The national planning on medium- and long-term food security (2008–2020). http://www.gov.cn/jrzg/2008-11/13/content_1148414.htm

  • Office of Land and Resources in Inner Mongolia (2010) The planning on land use in Inner Mongolia (2006–2020). http://www.mlr.gov.cn/tdsc/tdgh/201006/t20100623_152592.htm

  • Ornetsmüller C, Verburg PH, Heinimann A (2016) Scenarios of land system change in the Lao PDR: transitions in response to alternative demands on goods and services provided by the land. Appl Geogr 75:1–11

    Article  Google Scholar 

  • Parker DC, Hessl A, Davis SC (2008) Complexity, land-use modeling, and the human dimension: fundamental challenges for mapping unknown outcome spaces. Geoforum 39:789–804. doi:10.1016/j.geoforum.2007.05.005

    Article  Google Scholar 

  • Pontius Jr RG, Millones M (2011) Death to Kappa: birth of quantity disagreement and allocation disagreement for accuracy assessment. Int J Remote Sens 32:4407–4429

    Article  Google Scholar 

  • Standing Committee of the People’s Congress in Inner Mongolia (2013) Regulations of Inner Mongolia autonomous region on Daqing mountain national nature reserve. http://dqs.nmglyt.gov.cn/

  • Statistical Bureau in Hohhot (2013) Hohhot economic statistical yearbook. China Statistics Press, Beijing

    Google Scholar 

  • Tian GJ, Qiao Z (2014) Assessing the impact of the urbanization process on net primary productivity in China in 1989–2000. Environ Pollut 184:320–326. doi:10.1016/j.envpol.2013.09.012

    Article  CAS  Google Scholar 

  • Turner IIBL, Janetos AC, Verbug PH, Murray AT (2013) Land system architecture: using land systems to adapt and mitigate global environmental change. Pacific Northwest National Laboratory (PNNL), Richland, WA

    Google Scholar 

  • van Asselen S, Verburg PH (2013) Land cover change or land-use intensification: simulating land system change with a global-scale land change model. Glob Change Biol 19:3648–3667. doi:10.1111/gcb.12331

    Article  Google Scholar 

  • van Vliet J, Bregt AK, 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 

  • Verburg PH, Erb K-H, Mertz O, Espindola G (2013) Land system science: between global challenges and local realities. Curr Opin Environ Sustain 5:433–437

    Article  Google Scholar 

  • Verburg PH, Overmars KP (2009) Combining top–down and bottom–up dynamics in land use modeling: exploring the future of abandoned farmlands in Europe with the Dyna-CLUE model. Landsc Ecol 24:1167–1181. doi:10.1007/s10980-009-9355-7

    Article  Google Scholar 

  • Verburg PH, Schulp CJE, Witte N, Veldkamp A (2006) Downscaling of land use change scenarios to assess the dynamics of European landscapes. Agric Ecosyst Environ 114:39–56. doi:10.1016/j.agee.2005.11.024

    Article  Google Scholar 

  • Wang XH, Lu CH, Fang JF, Shen YC (2007) Implications for development of grain-for-green policy based on cropland suitability evaluation in desertification-affected north China. Land Use Policy 24:417–424. doi:10.1016/j.landusepol.2006.05.005

    Article  CAS  Google Scholar 

  • Wang XM, Zhang CX, Hasi E, Dong ZB (2010) Has the Three Norths Forest Shelterbelt Program solved the desertification and dust storm problems in arid and semiarid China? J Arid Environ 74:13–22. doi:10.1016/j.jaridenv.2009.08.001

    Article  Google Scholar 

  • Wu FL (2002) Calibration of stochastic cellular automata: the application to rural-urban land conversions. Int J Geogr Inf Sci 16:795–818. doi:10.1080/13658810210157769

    Article  Google Scholar 

  • Wu JG (2013) Landscape sustainability science: ecosystem services and human well-being in changing landscapes. Landsc Ecol 28:999–1023

    Article  Google Scholar 

  • Wu JG, He CY, Zhang QY, Yu DY, Huang GL, Huang QX (2014) Integrative modeling and strategic planning for regional sustainability under climate change. Adv Earth Sci 29:1315–1324. in Chinese

    Google Scholar 

  • Wu JG, Zhang Q, Li A, Liang CZ (2015) Historical landscape dynamics of Inner Mongolia: patterns, drivers, and impacts. Landsc Ecol 30:1579–1598. doi:10.1007/s10980-015-0209-1

    Article  Google Scholar 

  • Xu X, Gao Q, Liu YH, Wang JA, Zhang Y (2009) Coupling a land use model and an ecosystem model for a crop-pasture zone. Ecol Model 220:2503–2511. doi:10.1016/j.ecolmodel.2009.04.043

    Article  Google Scholar 

  • Yang XH, Ci LJ, Zhang XS (2008) Dryland characteristics and its optimized eco-productive paradigms for sustainable development in China. Nat Resour Forum 32:215–227. doi:10.1111/j.1477-8947.2008.00201.x

    Article  Google Scholar 

  • Zhang F et al. (2013) Spatial and seasonal variations of pesticide contamination in agricultural soils and crops sample from an intensive horticulture area of Hohhot, North-West China. Environ Monit Assess 185:6893–6908. doi:10.1007/s10661-013-3073-y

    Article  CAS  Google Scholar 

  • Zhu L (2006) Dynamics of desertification and sandification in China. China Agricultural Press, Beijing, in Chinese

    Google Scholar 

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Acknowledgements

We would like to thank Dr. Jasper van Vliet, David A. Eitelberg, and Dr. Žiga Malek from VU University Amsterdam for their helpful suggestions on the article. This work has been supported in part by the National Natural Science Foundation of China (Grant No. 41501195), the National Basic Research Program of China (Grant Nos. 2014CB954303 & 2014CB954302) and the funding from European Research Council under the European Union’s Seventh Framework Program ERC Grant Agreement nr. 311819 (GLOLAND). It was also supported by the Youth Scholars Program of Beijing Normal University (Grant No. 2014NT02) and the State Key Laboratory of Earth Surface Processes and Resource Ecology (Grant No. 2015-RC-01).

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Correspondence to Zhifeng Liu.

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Liu, Z., Verburg, P.H., Wu, J. et al. Understanding Land System Change Through Scenario-Based Simulations: A Case Study from the Drylands in Northern China. Environmental Management 59, 440–454 (2017). https://doi.org/10.1007/s00267-016-0802-3

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