HUBEI AGRICULTURAL SCIENCES ›› 2025, Vol. 64 ›› Issue (4): 122-129.doi: 10.14088/j.cnki.issn0439-8114.2025.04.022

• Horticulture & Local Products • Previous Articles     Next Articles

The correlation between plant species diversity and growth in lawn ecosystems

LI Mao-ying, HU Xian-jin, DING Jian, LIU Xian-bin, MA Si-yuan, HE Yin-jian   

  1. School of Chemistry, Biology and Environment, Yuxi Normal University, Yuxi 653100, Yunnan, China
  • Received:2024-08-27 Online:2025-04-25 Published:2025-05-12

Abstract: To study the correlation between the structure and function of lawn ecosystems at different development and succession stages, bermuda grass [Cynodon dactylon (L.) Persoon], creeping bentgrass (Agrostis stolonifera L.), perennial ryegrass (Lolium perenne L.), buffalograss [Buchloe dactyloides (Nutt.) Engelm.], tall fescue (Festuca elata Keng ex E. B. Alexeev) and white clover (Trifolium repens L.) were used as the research objects, two experimental treatments of “maintaining natural state (MNS)” and “manually removing weeds (MRW)” were established, and the changes in plant species diversity and growth at different development and succession stages were investigated. The results showed that the correlation between plant species diversity and growth in lawn ecosystems varied in different development and succession stages and different experimental treatments: At the initial stage, a linear positive correlation occurred between the two variables in six types of lawn ecosystems and two experimental treatments; at the intermediate stage, a single-hump correlation appeared between the two variables in the experimental treatment of MNS, while no obvious correlation was found in the experimental treatment of MRW; at the late stage, a single-hump correlation arose between the two variables in all the experimental treatments of MNS, a linear negative correlation emerged in 50% of the MRW experimental treatments, and no obvious correlation was found in the remaining 50%.

Key words: turfgrass, plant species diversity, plant growth, linear correlation, single-hump correlation

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