Mapping a ‘cryptic kingdom’: Performance of lidar derived environmental variables in modelling the occurrence of forest fungi
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- 作者：Maiju Peuraa ; b ; maiju.h.peura@jyu.fi" class="auth_mail" title="E-mail the corresponding author ; Ramiro Silveyra Gonzaleza ; c ; rasilgon@gmail.com" class="auth_mail" title="E-mail the corresponding author ; Jö ; rg Mü ; llera ; d ; joerg.mueller@npv-bw.bayern.de" class="auth_mail" title="E-mail the corresponding author ; Marco Heuricha ; marco.heurich@npv-bw.bayern.de" class="auth_mail" title="E-mail the corresponding author ; Lee A. Vierlinge ; leev@uidaho.edu" class="auth_mail" title="E-mail the corresponding author ; Mikko Mö ; nkkö ; nenb ; mikko.monkkonen@jyu.fi" class="auth_mail" title="E-mail the corresponding author ; Claus Bä ; sslera ; claus.baessler@npv-bw.bayern.de" class="auth_mail" title="E-mail the corresponding author
- 关键词：ALS ; Ecosystem service ; Fruiting body ; Mushroom ; Non-timber forest product ; Remote sensing ; Distribution modelling
- 刊名：Remote Sensing of Environment
- 出版年：2016
- 出版时间：1 December 2016
- 年：2016
- 卷：186
- 期：Complete
- 页码：428-438
- 全文大小：1518 K
文摘
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Fungi are crucial for the functioning of forest ecosystems.
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They provide provisioning, regulating, supporting and cultural ecosystem services.
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Lidar variables performed well in modelling fruiting bodies of different guilds.
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This enables to upscale occurrence of a cryptic kingdom to large spatial scales.