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Distribution and Driving Factors of Forest Swamp Conversions in a Cold Temperate Region

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  • Dandan Zhao

    (School of Geographical Sciences, Northeast Normal University, Changchun 130024, China)

  • Hong S. He

    (School of Geographical Sciences, Northeast Normal University, Changchun 130024, China
    School of Natural Resources, University of Missouri, Columbia, MO 65211, USA)

  • Wen J. Wang

    (Northeast Institute of Geography and Agroecology, Chinese Academy of Sciences, Changchun 130102, China)

  • Jiping Liu

    (School of Tourism and Geography Science, Jilin Normal University, Siping 136000, China)

  • Haibo Du

    (School of Geographical Sciences, Northeast Normal University, Changchun 130024, China)

  • Miaomiao Wu

    (School of Geographical Sciences, Northeast Normal University, Changchun 130024, China)

  • Xinyuan Tan

    (School of Geographical Sciences, Northeast Normal University, Changchun 130024, China)

Abstract

Forest swamps are widely distributed in cold temperate regions, with important landscape and ecological functions. They are prone to conversion caused by complex factors. Forest swamp conversions involve forest swamping, meadow swamping, water body swamping, and conversion to farmland. An understanding of the landscape characteristics and primary environmental factors driving forest swamp conversions is imperative for exploring the mechanism of forest swamp conversions. We investigated the landscape characteristics of forest swamp conversions and quantified the relative importance of environmental factors driving these conversions for the period from 1990 to 2015 in the Great Xing’an Mountains of China. We found that forest swamping displayed high patch numbers (34,916) and density (8.51/100 ha), commonly occurring at the edge of large areas of forests. Meadow swamping was localized with low patch numbers (3613) and density (0.88/100 ha) due to lack of water recharge from ground water. Water body swamping had complex shapes (perimeter area ratio mean = 348.32) because of water table fluctuations and helophyte growth during this conversion process. Conversions to farmland presented fairly regular (perimeter area ratio mean = 289.91) and aggregated (aggregation index = 67.82) characteristics affected by agricultural irrigation and management. We found that climatic and geomorphic factors were relatively important compared to topographic factors for forest swamp conversions. Negative geomorphic conditions provided the waterlogging environment as a precondition of swamp formation. Sufficient precipitation was an important source of water recharge due to the existence of permafrost regions and long-term low temperature reduced the evaporation of swamps water and the decomposition rate of organisms. These wet and cold climatic conditions promoted forest swamp development in cold temperate regions. Humans exerted a relatively important role in forest swamping and conversions to farmland. Fire disturbance and logging accelerated the conversion from forest to swamp. This study provides scientific information necessary for the management and conservation of forest swamp resources in cold temperate regions.

Suggested Citation

  • Dandan Zhao & Hong S. He & Wen J. Wang & Jiping Liu & Haibo Du & Miaomiao Wu & Xinyuan Tan, 2018. "Distribution and Driving Factors of Forest Swamp Conversions in a Cold Temperate Region," IJERPH, MDPI, vol. 15(10), pages 1-14, September.
  • Handle: RePEc:gam:jijerp:v:15:y:2018:i:10:p:2103-:d:171877
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    References listed on IDEAS

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    1. Dandan Zhao & Hong S. He & Wen J. Wang & Lei Wang & Haibo Du & Kai Liu & Shengwei Zong, 2018. "Predicting Wetland Distribution Changes under Climate Change and Human Activities in a Mid- and High-Latitude Region," Sustainability, MDPI, vol. 10(3), pages 1-14, March.
    2. Vincenzi, Simone & Zucchetta, Matteo & Franzoi, Piero & Pellizzato, Michele & Pranovi, Fabio & De Leo, Giulio A. & Torricelli, Patrizia, 2011. "Application of a Random Forest algorithm to predict spatial distribution of the potential yield of Ruditapes philippinarum in the Venice lagoon, Italy," Ecological Modelling, Elsevier, vol. 222(8), pages 1471-1478.
    3. Sam Moore & Chris D. Evans & Susan E. Page & Mark H. Garnett & Tim G. Jones & Chris Freeman & Aljosja Hooijer & Andrew J. Wiltshire & Suwido H. Limin & Vincent Gauci, 2013. "Deep instability of deforested tropical peatlands revealed by fluvial organic carbon fluxes," Nature, Nature, vol. 493(7434), pages 660-663, January.
    4. Heimlich, Ralph E. & Langner, Linda L., 1986. "Swampbusting: Wetland Conversion and Farm Programs," Agricultural Economic Reports 308005, United States Department of Agriculture, Economic Research Service.
    5. Jianling Xu & Hanxi Wang & Lianxi Sheng & Xuejun Liu & Xiaoxue Zheng, 2017. "Distribution Characteristics and Risk Assessment of Polycyclic Aromatic Hydrocarbons in the Momoge Wetland, China," IJERPH, MDPI, vol. 14(1), pages 1-15, January.
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