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When Has an Abandoned Field Become a Semi-Natural Grassland or Heathland?

机译:什么时候废弃的田地变成半自然的草原或荒地?

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摘要

This study presents a meta-analysis of a collective dataset describing the succession from abandoned fields to semi-natural grassland and heathland vegetation over the past century. The study objectives were to develop a method for statistical discrimination between abandoned fields and semi-natural habitats and to analyze the probability that an abandoned field had developed into a semi-natural habitat. A statistical classification model was developed, based on lists of vascular plants from 2059 plots from Danish semi-natural grasslands and heathlands, and abandoned fields of varying age. This model was shown to discriminate effectively between abandoned fields and semi-natural habitats, and it was found to be potentially useful for the detection of abandoned fields approaching semi-natural vegetation. We suggest that the model may help clarify restoration targets and assess biological condition in formerly cultivated areas. Statistical modeling revealed that succession age, period of abandonment and succession trajectory had significant effects on the probability that abandoned fields reached the semi-natural phase. Our study indicates that restoration projects targeting grassland and heathland should take local species pools and soil fertility into account.
机译:这项研究对一个集合数据集进行了荟萃分析,描述了过去一个世纪从荒地到半天然草地和荒地植被的演替。研究的目的是开发一种统计方法来区分废弃田地和半自然栖息地,并分析废弃田地发展成半天然栖息地的可能性。建立了统计分类模型,该模型基于丹麦半天然草原和荒地的2059块土地上的维管植物清单以及不同年龄的废弃田地。结果表明,该模型可以有效地区分废弃的田地和半自然的生境,并被发现对于探测接近半自然植被的废弃田地具有潜在的帮助。我们建议该模型可以帮助阐明恢复目标并评估以前耕种地区的生物状况。统计模型表明,演替年龄,遗弃期和演替轨迹对弃田到达半自然阶段的概率有重大影响。我们的研究表明,针对草地和荒地的恢复项目应考虑当地物种库和土壤肥力。

著录项

  • 来源
    《Environmental Management》 |2008年第4期|p.707-716|共10页
  • 作者单位

    Department of Wildlife Ecology and Biodiversity, National Environmental Research Institute, University of Aarhus, Grenaavej 12, DK-8410 Roende, Denmark;

    Institute of Botany and Ecology, University of Tartu, Lai 40, Tartu EE-51005, Estonia;

    Technical and Environmental Department, Municipality of Aalborg, Boulevarden 13, DK-9100 Aalborg, Denmark;

    Department of Wildlife Ecology and Biodiversity, National Environmental Research Institute, University of Aarhus, Grenaavej 12, DK-8410 Roende, Denmark;

  • 收录信息 美国《科学引文索引》(SCI);美国《工程索引》(EI);美国《化学文摘》(CA);
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类
  • 关键词

    artificial neural networks; habitat quality; old-field; restoration; secondary succession; supervised classification;

    机译:人工神经网络;生境质量;老场恢复;次生继承监督分类;
  • 入库时间 2022-08-17 13:31:24

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