中国农业科学院农业信息研究所 中国农学会
Agricultural Information Institute of CAAS China Association of Agricultural Science Societies
En
Ch
中国农业科学院农业信息研究所 中国农学会 主办

AI检索

订阅

返回顶部
当前位置: 首页 > 文章 > 海岸带沙荒风口木麻黄无性系造林效果的综合评价 防护林科技 2005 (1) 35-37
Position: Home > Articles > Comprehensive Evaluation of Forestation Effect of Casuarina equisetifoliaClone in Air Gap of Coastal Sand and Desert Belt Protection Forest Science and Technology 2005 (1) 35-37

海岸带沙荒风口木麻黄无性系造林效果的综合评价

作  者：
陈端钦
单  位：
福建省平潭县林业科技推广站
关键词：
风口;木麻黄无性系;综合评价
摘  要：
以木麻黄无性系的防护效能和速生丰产性能为基础,运用多目标决策方法,对沿海沙荒风口6种木麻黄无性系造林效果进行综合评价,结果表明:在沙荒风口造林的6种木麻黄无性系中,粤501最抗风,其防护效能最高,平18次之;平18最速生丰产,粤501其次;莆20在6种无性系中无论抗风性还是速生丰产性能均最低。综合评价指标以平18最高,粤501次之,莆20最小。平18和粤501是沿海沙荒风口造林理想的木麻黄无性系。
译  名：
Comprehensive Evaluation of Forestation Effect of Casuarina equisetifoliaClone in Air Gap of Coastal Sand and Desert Belt
作  者：
CHEN Duan-qin (Station of Forestry Technology Popularization of Pingtan County,Fujian Province,Pingtan 350400,Fujian,China)
关键词：
air gap;Casuarina equisetifolia; comprehensive evaluation
摘  要：
Based on the protective benefit,fast-growing and high-yield characteristics of forestation effect of 6 species of Casuarina equisetifolia clone in air gap of coastal sand and desert belt was evaluated by means of polygonal dicision. The results showed that in the 6 species of Casuarina equisetifolia clone, the wind-resistance and protective benefit of Yue_(501) were the strongest and Ping_(18) was second. The fast growing and high -yield characteristics of Ping_(18) was the strongest and that of Yue_(501) was second; The wind-resistance , fast-growing and high-yield characters of Pu_(20) were the lowest in the 6 species clone. The comprehensive evaluation index of 6 species clone with Ping_(18) was highest and Yue501 was second and Pu_(20) was the smallest .The suitable Casuarina equisetifolia clone planting in air gap of coastal sand and desert belt were Ping_(18) and Yue_(501).

相似文章

导出引用
计量
文章访问数: 11
HTML全文浏览量: 0
PDF下载量: 1

所属期刊

推荐期刊

友情链接Friendly link
农业信息研究所Agricultural information institute 农业智能知识服务平台Agricultural intelligent knowledge service platform 农业学术服务平台Agricultural Knowledge Service System 中国知网CNKI 维普网VIP 万方WANFANG DATA
联系我们Contact us

电话Tell：010-82109652-808

邮箱E-mail：agrijournal@caas.cn

服务Service
关于我们About us 意见建议Opinions and suggest
版权说明Copyright
单位：中国农业科学院农业信息研究所 中国农学会 © 2017中国农业科学院农业信息研究所 ICP备案号：京ICP备09089781号-46