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Spatial Analysis as a Tool for Plant Population Conservation: A Case Study of Tamarix chinensis in the Yellow River Delta, China

Author

Listed:
  • Le Jiao

    (State Key Laboratory of Water Environment Simulation, School of Environment, Beijing Normal University, Beijing 100875, China)

  • Yue Zhang

    (State Key Laboratory of Water Environment Simulation, School of Environment, Beijing Normal University, Beijing 100875, China)

  • Tao Sun

    (State Key Laboratory of Water Environment Simulation, School of Environment, Beijing Normal University, Beijing 100875, China)

  • Wei Yang

    (State Key Laboratory of Water Environment Simulation, School of Environment, Beijing Normal University, Beijing 100875, China)

  • Dongdong Shao

    (State Key Laboratory of Water Environment Simulation, School of Environment, Beijing Normal University, Beijing 100875, China)

  • Peng Zhang

    (College of Environmental Science and Engineering, Nankai University, Tianjin 300350, China)

  • Qiang Liu

    (State Key Laboratory of Water Environment Simulation, School of Environment, Beijing Normal University, Beijing 100875, China)

Abstract

Saltcedar ( Tamarix chinensis ) is undergoing population declination and fragmentation due to climate change and human disturbance. The existing restoration strategies usually focus on improving the environmental conditions based on the environment–saltcedar relationship, while they ignore the role of spatial autocorrelation resulting from biological interaction and ecological processes. This oversight limits the efficiency and sustainability of the restoration. Here, we explored the spatial pattern of the saltcedar population in the Yellow River Delta, China, and its relationship with environmental factors, incorporating spatial autocorrelation. The plant and soil parameters were extracted by an airborne LiDAR system integrated with fixed soil environment measurements. The environment–saltcedar relationship incorporating spatial autocorrelation was evaluated with different regression models. Results showed that saltcedars aggregated at small scales (2–6 m), resulting from intraspecific facilitation and wind dispersal of seeds, while intraspecific competition was responsible for the random distribution at large scales (>10 m). The long-distance dispersal of seeds through water explained the significant positive spatial autocorrelation of saltcedars at distances up to 125 m. Consequently, resulting from intraspecific facilitation and seed dispersal, aggregation distribution and positive spatial autocorrelation within the saltcedar population improved the adaptability of saltcedar to environmental stress and thereby reduced the impact of environmental factors on the abundance of saltcedar.

Suggested Citation

  • Le Jiao & Yue Zhang & Tao Sun & Wei Yang & Dongdong Shao & Peng Zhang & Qiang Liu, 2021. "Spatial Analysis as a Tool for Plant Population Conservation: A Case Study of Tamarix chinensis in the Yellow River Delta, China," Sustainability, MDPI, vol. 13(15), pages 1-15, July.
    • Handle: RePEc:gam:jsusta:v:13:y:2021:i:15:p:8291-:d:600788
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    References listed on IDEAS

    as
    1. Mihai Valcu & Bart Kempenaers, 2010. "Spatial autocorrelation: an overlooked concept in behavioral ecology," Behavioral Ecology, International Society for Behavioral Ecology, vol. 21(5), pages 902-905.
    2. Liang Jiao & Fang Li & Xuerui Liu & Shengjie Wang & Yi Zhou, 2020. "Fine-Scale Distribution Patterns of Phragmites australis Populations Across an Environmental Gradient in the Salt Marsh Wetland of Dunhuang, China," Sustainability, MDPI, vol. 12(4), pages 1-15, February.
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