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首页> 外文期刊>Journal of Cleaner Production >Spatially varying patterns of afforestation/reforestation and socio-economic factors in China: a geographically weighted regression approach
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Spatially varying patterns of afforestation/reforestation and socio-economic factors in China: a geographically weighted regression approach

机译：中国造林/再造林和社会经济因素的空间格局变化：地理加权回归方法

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摘要

Afforestation and reforestation play an important role in reducing global greenhouse gas emissions, and they are a component of the Reducing Emissions from Deforestation and Degradation-plus program. Within a theoretical analysis framework, we identified the key factors of afforestation and reforestation using a global regression model. Spatial non-stationarity of the key factors required the use of a geographically-weighted regression approach. Results indicated that afforestation and reforestation were affected by five main factors in China: population density, the gross output value of forestry, forest area, sown area of crops, and burned area due to forest fires. The gross output value of forestry had a negative correlation with afforestation and reforestation, which showed a decreasing trend from southeast to northwest in China. The population density and forest area were positively correlated with afforestation and reforestation in the northwest of China, but negatively correlated with those activities in other parts of China. The sown area of crops had a significantly positive correlation with afforestation and reforestation with an increasing trend from west to east. Forest fires also had a positive correlation with afforestation and reforestation, with an increasing trend from east to west in China. Policy-making should consider the spatial heterogeneity of the factors of afforestation and reforestation in designing REDD+ of China. (C) 2016 Elsevier Ltd. All rights reserved.
机译：植树造林和植树造林在减少全球温室气体排放中起着重要作用，它们是“减少森林采伐和退化加成方案”的组成部分。在理论分析框架内，我们使用全球回归模型确定了造林和再造林的关键因素。关键因素的空间非平稳性要求使用地理加权回归方法。结果表明，造林和再造林受五个主要因素的影响：人口密度，林业总产值，森林面积，农作物播种面积和森林大火烧毁面积。林业总产值与造林和再造林呈负相关，从东南到西北呈下降趋势。人口密度和森林面积与中国西北地区的造林和再造林呈正相关，而与中国其他地区的这些活动呈负相关。农作物播种面积与造林和再造林呈显着正相关，且从西向东呈增加趋势。森林火灾与造林和再造林也有正相关关系，中国从东向西呈增加趋势。在设计中国的REDD +时，决策过程应考虑造林和再造林因素的空间异质性。 （C）2016 Elsevier Ltd.保留所有权利。

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  • 来源
    《Journal of Cleaner Production》 |2017年第1期|362-371|共10页
  • 作者

    Sheng Jichuan; Han Xiao; Zhou Hui;

  • 作者单位

    Nanjing Univ Informat Sci & Technol, Collaborat Innovat Ctr Forecast & Evaluat Meteoro, 219 Ningliu Rd, Nanjing 210044, Jiangsu, Peoples R China|Nanjing Univ Informat Sci & Technol, Sch Econ & Management, 219 Ningliu Rd, Nanjing 210044, Jiangsu, Peoples R China|Chinese Acad Social Sci, Inst Urban & Environm Studies, 28 Shuguangxili, Beijing 10028, Peoples R China;

    Univ Melbourne, Sch Geog, 221 Bouverie St, Parkville, Vic 3010, Australia;

    Nanjing Univ Informat Sci & Technol, Sch Econ & Management, 219 Ningliu Rd, Nanjing 210044, Jiangsu, Peoples R China;

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

    REDD; Afforestation; Reforestation; Geoengineering; Geographical weighted regression;

    机译：REDD;造林;再造林;地球工程;地理加权回归;

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