J Plant Ecol ›› 2022, Vol. 15 ›› Issue (1): 155-167 .DOI: 10.1093/jpe/rtab080

• Research Articles • Previous Articles     Next Articles

The influence of abiotic and spatial variables on woody and herbaceous species abundances in a woodland–grassland system in the Eastern Terai of India

Dhritiman Das1,2,3, Subham Banerjee4, John Lehmkuhl5, Jagdish Krishnaswamy1 and Robert John4,*   

  1. 1 Academy of Conservation Science and Sustainability Studies, Ashoka Trust for Research in Ecology and the Environment (ATREE), Royal Enclave, Sriramapura, Jakkur Post, Bangalore 560064, India, 2 Manipal Academy of Higher Education, Manipal 576104, Karnataka, India, 3 Pygmy Hog Conservation Programme, Durrell Wildlife Conservation Trust, Les Augres Manor, La Profonde Rue, Trinity, Jersey JE3 5BP, Channel Islands, 4 Department of Biological Sciences, Indian Institute of Science Education and Research, Kolkata, Room 214, Research Complex, Mohanpur 741246, West Bengal, India, 5 USDA Forest Service, Pacifc Northwest Research Station, Wenatchee, WA 98801, USA

    *Corresponding author. E-mail: robert.john@iiserkol.ac.in
  • Received:2020-11-23 Revised:2021-01-31 Accepted:2021-06-27 Online:2021-08-02 Published:2022-02-01

Abstract:

The environmental factors that influence tree–grass abundances in tropical savanna and grasslands are not well understood, particularly for woodland–grassland mosaics in humid zones. We studied the effects of abiotic and spatial variables on woody and herbaceous species distributions in a Terai ecosystem of northeastern India. We evaluated the importance of climatic and non-climatic factors that maintain variable tree–grass ratios across the landscape, and also accounted for spatial connectivity and dispersal. We measured species abundances of woody and herbaceous plant species in 134 plots with each 30 m × 30 m in a 519 km2 protected Terai habitat, and derived several climatic and non-climatic environmental factors. We constructed variables based on different models of spatial connectivity among sites, to test their influence on species abundances. We then used redundancy analyses and variation partitioning to quantify the importance of environmental variables and spatial structure on variation in tree–grass abundances. We found that environmental variables including rainfall, fire, water stress, topography and soil nutrients had statistically significant effects on species abundance and tree–grass ratios. Spatial structure was significant, and the best spatial model was an inverse distance-weighted model with linkage extending to 23.5 km, indicating weak dispersal limitation. About 21% of the variation in species abundance was explained by the selected environmental and spatial factors. The results indicate that dynamic plant communities in which spatial–temporal variation in environmental factors may drive stochasticity in species distribution and abundance, thus dominantly influencing on the vegetation mosaic.

Key words: woodland–grassland, Eastern Terai, Manas National Park, variation partitioning, ground fires, spatial connectivity

摘要:

印度特莱东部林地-草地系统中非生物和空间变量对木本和草本物种丰度的影响

目前尚不清楚哪些环境因素决定了热带稀树草原特别是在潮湿地带的林地和草地镶嵌处的林地和草地的物种多度。基于此,本研究探究了非生物和空间变量对印度东北部的台拉河生态系统木本和草本物种分布的影响,评估了气候和非气候因素在整个景观中保持可变的树草比和空间连通性和分散性的相对重要性。在519 km2的受保护的特莱栖息地中随机建立了134个30 m × 30 m的抽样样方,并调查了每个样方的木本和草本植物的物种多度和气候,以及非气候环境因素。基于不同的地点空间连通性模型,通过构建变量检验气候和非气候环境因素对物种多度的影响。使用冗余分析和方差分解定量解析环境变量和空间结构对林地和草地物种多度的相对重要性。研究结果表明,降雨、火灾、水分胁迫、地形和土壤养分在内的环境变量对物种多度和林草比有显著的影响。空间结构显著,最佳空间模型为反距离加权模型(inverse distance-weighted model), 而且显示最大的空间扩散距离可以达到23.5 km,表明扩散限制较弱。约21%的物种多度变化能够被环境和空间因素解释。这些结果揭示了植物群落动态的决定因素,即环境因子的时空变化可能驱动物种分布和多度的随机性,并对植被镶嵌产生主导影响。

关键词: 林地草原, 特莱东部, 玛纳斯国家公园, 方差分解, 地面火灾, 空间连通性