globalchange  > 气候减缓与适应
DOI: 10.3390/su11010073
WOS记录号: WOS:000457127300073
论文题名:
Spatially Differentiated Trends between Forest Pest-Induced Losses and Measures for Their Control in China
作者: Cai, Qi1; Cai, Yushi2; Wen, Yali1
通讯作者: Wen, Yali
刊名: SUSTAINABILITY
ISSN: 2071-1050
出版年: 2019
卷: 11, 期:1
语种: 英语
英文关键词: spatially differentiated ; forest pest outbreak ; control measures ; Hu line
WOS关键词: MODEL ; DYNAMICS
WOS学科分类: Green & Sustainable Science & Technology ; Environmental Sciences ; Environmental Studies
WOS研究方向: Science & Technology - Other Topics ; Environmental Sciences & Ecology
英文摘要:

Historically, China has exhibited spatial differentiation in issues ranging from population distribution to ecological or economic development; forest pest-control work exemplifies this tendency. In recent times, global warming, man-made monoculture tree-plantations, increasing human population density, and intensified international trade aggravate forest pest outbreaks. Although the Chinese government has complied with internationally recommended practices, some aspects of pest management remain unaddressed due to existing differential regional imbalance in forest pest distribution and control capacities. Evidence shows that the high-income provinces in the south have taken advantage of economic and technological superiority, resulting in the adoption of more efficient pest-control measures. In contrast, the economically underdeveloped provinces of the northwest continue to experience a paucity of financial support that has led to serious threats of pest damage that almost mirror the demarcations of the Hu Huanyong Line. In this paper, we propose the introduction of a Public-Private-Partnership (PPP) model into forest pest control and the combination of the national strategies to enact regional prevention measures to break away from current spatially differentiated trends in China.


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资源类型: 期刊论文
标识符: http://119.78.100.158/handle/2HF3EXSE/125986
Appears in Collections:气候减缓与适应

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作者单位: 1.Beijing Forestry Univ, Coll Econ & Management, Beijing 100083, Peoples R China
2.Natl Forestry & Grassland Adm, Gen Stn Forest & Grassland Pest Management, Key Lab Natl Forestry & Grassland Adm Forest Pest, Shenyang 110034, Liaoning, Peoples R China

Recommended Citation:
Cai, Qi,Cai, Yushi,Wen, Yali. Spatially Differentiated Trends between Forest Pest-Induced Losses and Measures for Their Control in China[J]. SUSTAINABILITY,2019-01-01,11(1)
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