Zhang Zhenguo, Wang Mingming, Liu Jikai, Li Xinwei
College of Resources and Environment, Anhui Science and Technology University, Fengyang, Anhui, China.
Northeast Institute of Geography and Agroecology, Chinese Academy of Sciences, Changchun, Jilin, China.
PeerJ. 2020 Nov 13;8:e10349. doi: 10.7717/peerj.10349. eCollection 2020.
Identification of typical vegetation succession types and their important influencing factors is an important prerequisite to implement differential vegetation and soil management after land abandonment on the Loess Plateau, China. However, there is no reported study specifically on the identification of vegetation types and their important factors as well as the thresholds of the important factors for classification of the vegetation types, based on the medium- to long-term succession of natural vegetation after cropland abandonment. We collected vegetation and soil data on the natural vegetation with the longest 60-year-old forest communities that developed after cropland abandonment and analyzed the data using two-way indicator species analysis, detrended correspondence analysis, direct canonical correspondence analysis and classification tree model. The vegetation communities were classified into five distinct vegetation types, including , and , , , and . The years after cropland abandonment and soil C/N were further identified as important factors determining the types of vegetation. Likewise, it was observed that most of the investigated soil nutrient variables and soil texture-related variables improved with the vegetation succession while soil water in the surface layers showed a decreasing trend. These findings may provide an ecological basis for site-specific management of vegetation types after cropland abandonment in the medium-long term on the Loess Plateau. Our results encourage further exploration of vegetation succession and their important factors based on longer periods of vegetation succession after cropland abandonment under more soil and climatic conditions on the mountainous areas as the Loess Plateau.
识别典型植被演替类型及其重要影响因素是在中国黄土高原实施撂荒土地差异化植被与土壤管理的重要前提。然而,尚无研究专门基于农田撂荒后自然植被的中长期演替,对植被类型及其重要因素进行识别,以及对植被类型分类的重要因素阈值进行研究。我们收集了农田撂荒后发育的最长达60年树龄的森林群落自然植被的植被和土壤数据,并使用双向指示种分析、去趋势对应分析、直接典范对应分析和分类树模型对数据进行了分析。植被群落被划分为五种不同的植被类型,包括 、 以及 、 、 。农田撂荒后的年份和土壤碳氮比被进一步确定为决定植被类型的重要因素。同样,研究观察到,随着植被演替,大多数调查的土壤养分变量和与土壤质地相关的变量有所改善,而表层土壤水分呈下降趋势。这些发现可为黄土高原中长期农田撂荒后植被类型的精准管理提供生态依据。我们的研究结果鼓励在黄土高原等山区更多的土壤和气候条件下,基于更长时期的农田撂荒后植被演替,进一步探索植被演替及其重要因素。