IDEAS home Printed from https://ideas.repec.org/a/gam/jsusta/v14y2022i21p14081-d956580.html
   My bibliography  Save this article

Effects of Dynamic Changes of Soil Moisture and Salinity on Plant Community in the Bosten Lake Basin

Author

Listed:
  • Jiawen Hou

    (College of Resources and Environment, Xinjiang University, Urumqi 830046, China)

  • Mao Ye

    (College of Geography Science and Tourism, Xinjiang Normal University, Urumqi 830054, China)

Abstract

To estimate the potential risks of plant diversity reduction and soil salinization in the Bosten Lake Basin, the dynamic changes in the plant community and species diversity affected by soil moisture and salinity were analyzed from 2000 to 2020 based on remote sensing technology and field experiments. A model for simulating soil moisture, salinity, and the productivity of the plant communities was proposed. The results demonstrated that: (1) The soil moisture index (SMI) increased but the soil salinity index (SSI) decreased from 2000 to 2020 in the study areas. Accordingly, the plant community productivity indices, including the vegetation index (NDVI), enhanced vegetation index (EVI), and ratio vegetation index (RVI), exhibited an increasing trend. It was found that the Alpine meadow, Alpine steppe, and temperate steppe desert were the main types of plant communities in the study areas, accounting for 69% of its total area. (2) With increasing SMI or decreasing SSI, the vegetation productivity such as NDVI, RVI, and EVI all exhibited an increasing trend. With the increment of SMI, the species diversity indices of the Simpson, Shannon–Wiener, and Margalef exhibited a distinctly increasing trend. However, the indices of the Simpson, Shannon–Wiener, and Alatalo increased with the decreasing SSI. (3) The study discovered from the SVM model that the species diversity index was optimal when the soil salinity was 0–15 g/kg and the soil moisture was 12–30% in the study areas. It was found that soil moisture, not soil salinity, controls the plant species diversity change in the study areas. (4) A multiple linear regression model was established for simulating the effect of soil water-salinity on the vegetation productivity index at the watershed scale. The model indicated that higher salinity would reduce vegetation productivity and higher soil moisture would promote vegetation growth (except for RVI). The SSI had a higher impact on NDVI and EVI than the SMI in the study areas. This study would support decision-making on grassland ecosystem restoration and management in the other arid areas.

Suggested Citation

  • Jiawen Hou & Mao Ye, 2022. "Effects of Dynamic Changes of Soil Moisture and Salinity on Plant Community in the Bosten Lake Basin," Sustainability, MDPI, vol. 14(21), pages 1-13, October.
    • Handle: RePEc:gam:jsusta:v:14:y:2022:i:21:p:14081-:d:956580
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/2071-1050/14/21/14081/pdf
    Download Restriction: no
    File URL: https://www.mdpi.com/2071-1050/14/21/14081/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Bradley J. Cardinale, 2011. "Biodiversity improves water quality through niche partitioning," Nature, Nature, vol. 472(7341), pages 86-89, April.
    2. Khan, Nasir M. & Rastoskuev, Victor V. & Sato, Y. & Shiozawa, S., 2005. "Assessment of hydrosaline land degradation by using a simple approach of remote sensing indicators," Agricultural Water Management, Elsevier, vol. 77(1-3), pages 96-109, August.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Chunyu Li & Rong Cai & Wei Tian & Junna Yuan & Xiaofei Mi, 2023. "Land Cover Classification by Gaofen Satellite Images Based on CART Algorithm in Yuli County, Xinjiang, China," Sustainability, MDPI, vol. 15(3), pages 1-18, January.

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. La Notte, Alessandra & Maes, Joachim & Dalmazzone, Silvana & Crossman, Neville D. & Grizzetti, Bruna & Bidoglio, Giovanni, 2017. "Physical and monetary ecosystem service accounts for Europe: A case study for in-stream nitrogen retention," Ecosystem Services, Elsevier, vol. 23(C), pages 18-29.
    2. Romeu Gerardo & Isabel P. de Lima, 2022. "Sentinel-2 Satellite Imagery-Based Assessment of Soil Salinity in Irrigated Rice Fields in Portugal," Agriculture, MDPI, vol. 12(9), pages 1-20, September.
    3. Chen, Haojie, 2020. "Complementing conventional environmental impact assessments of tourism with ecosystem service valuation: A case study of the Wulingyuan Scenic Area, China," Ecosystem Services, Elsevier, vol. 43(C).
    4. Chun-Wei Chang & Takeshi Miki & Hao Ye & Sami Souissi & Rita Adrian & Orlane Anneville & Helen Agasild & Syuhei Ban & Yaron Be’eri-Shlevin & Yin-Ru Chiang & Heidrun Feuchtmayr & Gideon Gal & Satoshi I, 2022. "Causal networks of phytoplankton diversity and biomass are modulated by environmental context," Nature Communications, Nature, vol. 13(1), pages 1-11, December.
    5. Singh, Kripal & Ansari, Faiz Ahmad & Ingle, Kapilkumar Nivrutti & Gupta, Sanjay Kumar & Ahirwal, Jitendra & Dhyani, Shalini & Singh, Shraddha & Abhilash, P.C. & Rawat, Ismael & Byun, Chaeho & Bux, Fai, 2023. "Microalgae from wastewaters to wastelands: Leveraging microalgal research conducive to achieve the UN Sustainable Development Goals," Renewable and Sustainable Energy Reviews, Elsevier, vol. 188(C).
    6. Min Ma & Yi Hao & Qingchun Huang & Yongxin Liu & Liancun Xiu & Qi Gao, 2024. "Soil Salinity Estimation by 3D Spectral Space Optimization and Deep Soil Investigation in the Songnen Plain, Northeast China," Sustainability, MDPI, vol. 16(5), pages 1-26, March.
    7. Mohamed Elhedi Gharsallah & Hamouda Aichi & Talel Stambouli & Zouhair Ben Rabah & Habib Ben Hassine, 2022. "Assessment and mapping of soil salinity using electromagnetic induction and Landsat 8 OLI remote sensing data in an irrigated olive orchard under semi-arid conditions," Soil and Water Research, Czech Academy of Agricultural Sciences, vol. 17(1), pages 15-28.
    8. Zixuan Zhang & Beibei Niu & Xinju Li & Xingjian Kang & Zhenqi Hu, 2022. "Estimation and Dynamic Analysis of Soil Salinity Based on UAV and Sentinel-2A Multispectral Imagery in the Coastal Area, China," Land, MDPI, vol. 11(12), pages 1-21, December.
    9. Maes, Joachim & Egoh, Benis & Willemen, Louise & Liquete, Camino & Vihervaara, Petteri & Schägner, Jan Philipp & Grizzetti, Bruna & Drakou, Evangelia G. & Notte, Alessandra La & Zulian, Grazia & Bour, 2012. "Mapping ecosystem services for policy support and decision making in the European Union," Ecosystem Services, Elsevier, vol. 1(1), pages 31-39.
    10. Patrick Bezerra Fernandes & Lucas Ferreira Gonçalves & Flavio Lopes Claudio & Janayna Almeida Souza & Guido Calgaro Júnior & Estenio Moreira Alves & Tiago Do Prado Paim, 2023. "Sustainable Production of Maize with Grass and Pigeon Pea Intercropping," Agriculture, MDPI, vol. 13(6), pages 1, June.
    11. Hesham M. Aboelsoud & Mohamed A. E. AbdelRahman & Ahmed M. S. Kheir & Mona S. M. Eid & Khalil A. Ammar & Tamer H. Khalifa & Antonio Scopa, 2022. "Quantitative Estimation of Saline-Soil Amelioration Using Remote-Sensing Indices in Arid Land for Better Management," Land, MDPI, vol. 11(7), pages 1-19, July.
    12. Ramos, Tiago B. & Castanheira, Nádia & Oliveira, Ana R. & Paz, Ana Marta & Darouich, Hanaa & Simionesei, Lucian & Farzamian, Mohammad & Gonçalves, Maria C., 2020. "Soil salinity assessment using vegetation indices derived from Sentinel-2 multispectral data. application to Lezíria Grande, Portugal," Agricultural Water Management, Elsevier, vol. 241(C).
    13. Hamideh Nouri & Sattar Chavoshi Borujeni & Sina Alaghmand & Sharolyn J. Anderson & Paul C. Sutton & Somayeh Parvazian & Simon Beecham, 2018. "Soil Salinity Mapping of Urban Greenery Using Remote Sensing and Proximal Sensing Techniques; The Case of Veale Gardens within the Adelaide Parklands," Sustainability, MDPI, vol. 10(8), pages 1-14, August.
    14. Billal Hossen & Helmut Yabar & Md Jamal Faruque, 2022. "Exploring the Potential of Soil Salinity Assessment through Remote Sensing and GIS: Case Study in the Coastal Rural Areas of Bangladesh," Land, MDPI, vol. 11(10), pages 1-18, October.
    15. Yasin ul Haq & Muhammad Shahbaz & H. M. Shahzad Asif & Ali Al-Laith & Wesam H. Alsabban, 2023. "Spatial Mapping of Soil Salinity Using Machine Learning and Remote Sensing in Kot Addu, Pakistan," Sustainability, MDPI, vol. 15(17), pages 1-19, August.
    16. Domenico Pisani & Pasquale Pazienza & Enrico Vito Perrino & Diana Caporale & Caterina De Lucia, 2021. "The Economic Valuation of Ecosystem Services of Biodiversity Components in Protected Areas: A Review for a Framework of Analysis for the Gargano National Park," Sustainability, MDPI, vol. 13(21), pages 1-19, October.
    17. R. Michael Lehman & Cynthia A. Cambardella & Diane E. Stott & Veronica Acosta-Martinez & Daniel K. Manter & Jeffrey S. Buyer & Jude E. Maul & Jeffrey L. Smith & Harold P. Collins & Jonathan J. Halvors, 2015. "Understanding and Enhancing Soil Biological Health: The Solution for Reversing Soil Degradation," Sustainability, MDPI, vol. 7(1), pages 1-40, January.
    18. Hui Deng & Wenjiang Zhang & Xiaoqian Zheng & Houxi Zhang, 2024. "Crop Classification Combining Object-Oriented Method and Random Forest Model Using Unmanned Aerial Vehicle (UAV) Multispectral Image," Agriculture, MDPI, vol. 14(4), pages 1-17, March.
    19. Shuoyang Li & Guiyu Yang & Cui Chang & Hao Wang & Hongling Zhang & Na Zhang & Zhigong Peng & Yaomingqi Song, 2024. "Remote Sensing Inversion of Salinization Degree Distribution and Analysis of Its Influencing Factors in an Arid Irrigated District," Land, MDPI, vol. 13(4), pages 1-18, March.
    20. Achivir Stella Yawe & Changlai Xiao & Oluwafemi Adewole Adeyeye & Mingjun Liu & Xiaoya Feng & Xiujuan Liang, 2022. "Spatio-Temporal Evolution of the Ecological Environment in a Typical Semi-Arid Region of Northeast China," Sustainability, MDPI, vol. 15(1), pages 1-19, December.

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:gam:jsusta:v:14:y:2022:i:21:p:14081-:d:956580. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: MDPI Indexing Manager (email available below). General contact details of provider: https://www.mdpi.com .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.