Forest-structure data improve distribution models of threatened habitat specialists: Implications for conservation of epiphytic lichens in forest landscapes

2016 ◽  
Vol 196 ◽  
pp. 31-38 ◽  
Author(s):  
Lyudmyla Dymytrova ◽  
Silvia Stofer ◽  
Christian Ginzler ◽  
Frank T. Breiner ◽  
Christoph Scheidegger
Keyword(s):  
Structure Data ◽  
Forest Structure ◽  
Epiphytic Lichens ◽  
Distribution Models ◽  
Habitat Specialists ◽  
Threatened Habitat

scholarly journals LiDAR derived forest structure data improves predictions of canopy N and P concentrations from imaging spectroscopy

2018 ◽  
Vol 211 ◽  
pp. 13-25 ◽  
Author(s):  
Michael Ewald ◽  
Raf Aerts ◽  
Jonathan Lenoir ◽  
Fabian Ewald Fassnacht ◽  
Manuel Nicolas ◽  
...  
Keyword(s):  
Structure Data ◽  
Forest Structure ◽  
Imaging Spectroscopy

EPIPHYTIC LICHENS IN NORWEGIAN COASTAL SPRUCE FOREST: HISTORIC LOGGING AND PRESENT FOREST STRUCTURE

2001 ◽  
Vol 11 (2) ◽  
pp. 421-436 ◽  
Author(s):  
Jørund Rolstad ◽  
Ivar Gjerde ◽  
Ken Olaf Storaunet ◽  
Erlend Rolstad
Keyword(s):  
Forest Structure ◽  
Epiphytic Lichens ◽  
Spruce Forest

scholarly journals An Improved Forest Structure Data Set for Europe

2022 ◽  
Vol 14 (2) ◽  
pp. 395
Author(s):  
Christoph Pucher ◽  
Mathias Neumann ◽  
Hubert Hasenauer
Keyword(s):  
Structure Data ◽  
Forest Structure ◽  
Large Scale ◽  
Remote Sensing Data ◽  
Inventory Data ◽  
Data Set ◽  
European Forests ◽  
Food And Agriculture ◽  
Food And Agriculture Organization ◽  
European Forest

Today, European forests face many challenges but also offer opportunities, such as climate change mitigation, provision of renewable resources, energy and other ecosystem services. Large-scale analyses to assess these opportunities are hindered by the lack of a consistent, spatial and accessible forest structure data. This study presents a freely available pan-European forest structure data set. Building on our previous work, we used data from six additional countries and consider now ten key forest stand variables. Harmonized inventory data from 16 European countries were used in combination with remote sensing data and a gap-filling algorithm to produce this consistent and comparable forest structure data set across European forests. We showed how land cover data can be used to scale inventory data to a higher resolution which in turn ensures a consistent data structure across sub-regional, country and European forest assessments. Cross validation and comparison with published country statistics of the Food and Agriculture Organization (FAO) indicate that the chosen methodology is able to produce robust and accurate forest structure data across Europe, even for areas where no inventory data were available.

Characterizing Stand and Biomass Tables from Diameter Distribution Models: A Case Study for Mixed-Hardwood Forests in Eastern Tennessee, USA

2021 ◽  
Author(s):  
Sheng-I Yang ◽  
Quang V Cao ◽  
David T Shoch ◽  
Trisha Johnson
Keyword(s):  
Mixture Model ◽  
Forest Structure ◽  
Prediction Accuracy ◽  
Hardwood Forests ◽  
Finite Mixture ◽  
Diameter Distribution ◽  
Weibull Function ◽  
Distribution Models ◽  
Component Mixture ◽  
Two Component

Abstract Accurately assessing forest structure and productivity is critical to making timely management decisions and monitoring plant communities. This study aims to evaluate the prediction accuracy of site-level stand and biomass tables from the diameter distribution models. The efficacy of the single Weibull function and two finite mixture models was compared for six species groups on three mixed-hardwood sites in eastern Tennessee, USA. To evaluate model performance, two types of stand/biomass tables were generated. The first type was constructed from all species on a given site (site-specific), whereas the second type was built for a single species from all sites (species-specific). Results indicate that both types of stand and biomass tables were consistently well quantified by the two-component mixture model in terms of goodness of fit, parsimony and robustness. The two-component mixture model better characterized the complex, multimodal diameter distributions than the single Weibull model, which underpredicted the upper portion of the distributions. The three-component model tends to overfit the data, which results in lower prediction accuracy. Among the three models examined, the two-Weibull mixture model is suggested to construct site-level stand/biomass tables, which provides more reliable and accurate predictions to assess forest structure and product class. Study Implications Compared to pine monocultures, diameter distribution models for upland mixed-hardwood forests in the Southeastern United States have not been widely explored. Mixed-hardwood forests not only supply high-quality timber for domestic and international uses, but also provide various ecosystem services and essential habitats for wildlife. The finite mixture model has been proposed for characterizing the irregular forms of diameter distribution curves, but the reliability of this method has not been explicitly examined for a wide variety of species. This study provided insights for natural resources managers to select appropriate models when modeling stand and biomass tables for mixed-hardwood forests.

Evaluation of roe deer effects upon forest structure in Nogueira Mountain (NE of Portugal)

2007 ◽  
Vol 3 (2) ◽  
Author(s):  
Aurora Monzon ◽  
António L. Crespí ◽  
Sónia Pinto ◽  
Adriano Castro ◽  
Claúdia P. Fernandes ◽  
...  
Keyword(s):  
Forest Structure ◽  
Roe Deer
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