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Spatial heterogeneous response of land use and landscape functions to ecological restoration: the case of the Chinese loess hilly region

机译：土地利用和景观功能对生态恢复的空间异质性响应-以黄土丘陵区为例

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摘要

Ecological restorations over time may have profound effects on ecological and socio-economic systems. However, land-use changes and landscape functions that accompany ecological restorations can have spatial differentiations due to varied biophysical and socio-economic contexts. Therefore, these spatial differentiations caused by ecological restoration must be understood for better planning and management of restoration activities. The Baota District, with 576 villages in the center of the Chinese Loess Plateau, was selected as the study area because of its dramatic transition from cropland to grassland and shrubland from 1990 to 2010. Using the ArcGIS software and a k-means clustering analysis, an approach to identify types of land-use change patterns (TLCPs) at the village level was developed, and four TLCPs were delineated. The analysis indicated a general pattern of cropland decline by 21.6 %, but revealed significant spatial variations between villages in different TLCPs. Vegetation cover and soil retention, which are key proxies for landscape functions, increased by 22.70 and 108 %, respectively, from 2000 to 2010 with significant spatial heterogeneity. The Universal Soil Loss Equation was employed for the assessment of soil retention. The analysis of landscape metrics revealed a major trend of fragmentation and regularity on the county and village scale; however, spatial variations remained. Physical attributes were used to characterize different TLCPs, and notable differences were found. The spatial heterogeneous change in land use and landscape functions on the village scale may be useful for land use and ecological restoration management policy makers.
机译：随着时间的流逝，生态恢复可能会对生态和社会经济系统产生深远影响。但是，由于生物物理和社会经济环境的变化，伴随生态恢复的土地利用变化和景观功能可能会出现空间差异。因此，必须了解由生态恢复引起的这些空间差异，以便更好地规划和管理恢复活动。黄土高原中部的576个村庄位于宝塔区，因为1990年至2010年该地区从农田向草地，灌丛急剧过渡，因此被选为研究区。使用ArcGIS软件和k-均值聚类分析，开发了一种在村庄一级识别土地利用变化模式（TLCP）类型的方法，并划定了四个TLCP。分析表明耕地面积总体下降了21.6％，但揭示了不同TLCP中村庄之间的显着空间差异。植被覆盖率和土壤保持力是景观功能的主要代表，从2000年到2010年分别增长了22.70％和108％，具有明显的空间异质性。通用土壤流失方程用于土壤保持力的评估。对景观指标的分析表明，在县和村范围内，碎片化和规律性的主要趋势是；但是，空间变化仍然存在。使用物理属性来表征不同的TLCP，并且发现了显着差异。村庄规模上土地利用和景观功能的空间异质性变化可能对土地利用和生态恢复管理政策制定者有用。

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  • 来源
    《Environmental earth sciences》 |2014年第7期|2683-2696|共14页
  • 作者

    Jianglei Wang; Yihe Lue; Yuan Zeng; Zhijiang Zhao; Liwei Zhang; Bojie Fu;

  • 作者单位

    State Key Laboratory of Urban and Regional Ecology, Research Center for Eco-Environmental Sciences, Chinese Academy of Sciences, PO Box 2871, Beijing 100085, China;

    State Key Laboratory of Urban and Regional Ecology, Research Center for Eco-Environmental Sciences, Chinese Academy of Sciences, PO Box 2871, Beijing 100085, China;

    Institute of Remote Sensing and Digital Earth, Chinese Academy of Sciences, Beijing 100101, China;

    College of Landscape Architecture and Forestry, Qingdao Agricultural University, 700 Great Wall Road, Chengyang District, Qingdao 266109, Shandong, China;

    State Key Laboratory of Urban and Regional Ecology, Research Center for Eco-Environmental Sciences, Chinese Academy of Sciences, PO Box 2871, Beijing 100085, China;

    State Key Laboratory of Urban and Regional Ecology, Research Center for Eco-Environmental Sciences, Chinese Academy of Sciences, PO Box 2871, Beijing 100085, China;

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  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类
  • 关键词

    Land-use changes; Landscape metrics; k-means clustering; Spatial heterogeneity; Ecological restoration; Landscape function; USLE;

    机译：土地利用变化;景观指标;k均值聚类;空间异质性;生态恢复;景观功能;美国大学;

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