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| 1 | 沙地濒危植物长柄扁桃生物学特性与抗逆性及应用综述显示文摘揭示长柄扁桃生物学特性与抗逆性机理并提高其在荒漠化治理中的生态效益和经济效益,是实现西北旱区荒漠化治理可持续发展和提升生态脆弱区生态系统服务功能面临的重要科学问题。本文回顾了长柄扁桃研究所取得的进展,包括建立了长柄扁桃快速育苗和无灌溉水栽培技术,揭示了不同地区长柄扁桃生长规律及其对逆境的适应性,推进了长柄扁桃在荒漠化治理中的应用及其产品开发等;在此基础上,提出了长柄扁桃研究面临的机遇和挑战,包括长柄扁桃的适生土壤类型与耗水量,不同地区长柄扁桃的合理种植密度及其调控和管理措施,长柄扁桃抗逆性机理及其产品开发与高值综合利用等,以期为我国在西北地区推广和建设长柄扁桃林、优化水土资源管理和提高脆弱生态系统的服务功能提供科学依据。 | 黄来明 邵明安 裴艳武 张应龙 | 2019 | 土壤2019，51，2： | 10 |
| 2 | 基于改进支持向量机算法的退耕地树种信息提取显示文摘树种间的光谱差异分析及分类算法的改进是利用遥感影像提取树种信息的难点,也是提高退耕地树种信息提取精度的关键。文章采用TM影像,通过不同树种光谱信息的差异分析,筛选出区分树种信息的光谱指标,并采用改进的支持向量机算法对退耕还林地不同树种信息进行了提取。结果表明,该研究算法提取的平均精度为81.7%,较传统支持向量机算法提高9.2%。该方法可以实现较为准确的树种信息提取,能够达到对退耕还林工程进行监测的目的,对快速评价工程质量有重要意义。 | 吴见 彭道黎 | 2011 | 光谱学与光谱分析2011，31，4： | 4 |
| 3 | Evaluation of natural forest regeneration as a part of land restoration in the Khentii massif,Mongolia显示文摘Forest stands in the semi-arid environment of northern Mongolia have an essential role in controlling ongoing desertification in the surrounding landscape.Over the last decade,the total forest area has decreased dramatically.The aim of this study was to evaluate the potential of natural regeneration as an essential element for ensuring sustainability of these forests.Based on field measurements from 120 plots in six sites,our assessment tool revealed five qualitative categories of forest regeneration,allowing us to assess impacts of both grazing and environmental conditions on the regeneration process.Grazing is a crucial factor and adversely affects regeneration.For sites with relatively low grazing intensity,low soil moisture levels represent the main reason for reduced regeneration.The approach to classification proposed in this study allows for the identification and interpretation of stand conditions where natural regeneration has failed.This study provides an important foundation to inform decisionmaking related to land protection and restoration actions.Our findings could be used in comparative studies and,importantly,may aid further mapping of Mongolian forests. | David Juricka Antonın Kusbach Jana Parılkova Jakub Houska Pavlına Ambrozova Vaclav Pecina Zdena Rosicka Martin Brtnicky Jindrich Kynicky | 2020 | Journal of Forestry Research2020，31，5： | 0 |
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