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开放式地理空间数据可预测北欧北方森林中苏格兰松、挪威云杉和银桦幼苗的早期实地表现

IF 1.8 3区 农林科学 Q2 FORESTRY
Scandinavian Journal of Forest Research Pub Date : 2024-08-15 DOI:10.1080/02827581.2024.2390910
Jari Miina, Aura Salmivaara, Karri Uotila, Jaana Luoranen, Saija Huuskonen
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引用次数: 0

摘要

准确了解现场条件及其对再生植被的影响，对于为特定再生植被选择最合适的树种和再生方法非常重要。
本文章由计算机程序翻译，如有差异，请以英文原文为准。
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Open geospatial data can predict the early field performance of Scots pine, Norway spruce and silver birch seedlings in Nordic boreal forests
Accurate knowledge of site conditions and their effects on regeneration establishment is important for selecting the most appropriate tree species and regeneration methods for a given regeneration ...
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来源期刊
Scandinavian Journal of Forest Research
Scandinavian Journal of Forest Research 农林科学-林学
CiteScore
3.00
自引率
5.60%
发文量
26
审稿时长
3.3 months
期刊介绍： The Scandinavian Journal of Forest Research is a leading international research journal with a focus on forests and forestry in boreal and temperate regions worldwide.
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