scholarly journals Some refinements on species distribution models using tree-level National Forest Inventories for supporting forest management and marginal forest population detection

2018 ◽  
Vol 11 (2) ◽  
pp. 291-299 ◽  
Author(s):  
M Marchi ◽  
F Ducci
Keyword(s):  
Forest Management ◽  
Species Distribution ◽  
Species Distribution Models ◽  
Tree Level ◽  
National Forest ◽  
Distribution Models ◽  
Forest Inventories ◽  
National Forest Inventories ◽  
Marginal Forest

scholarly journals SPATIAL SCALE EFFECTS OF SAMPLING ON THE INTERPOLATION OF SPECIES DISTRIBUTION MODELS IN THE SOUTHWESTERN AMAZON

2016 ◽  
Vol 40 (4) ◽  
pp. 617-625 ◽  
Author(s):  
Symone Maria de Melo Figueiredo ◽  
Eduardo Martins Venticinque ◽  
Evandro Orfanó Figueiredo
Keyword(s):  
Forest Management ◽  
Spatial Scale ◽  
Species Distribution ◽  
Tree Species ◽  
Species Distribution Models ◽  
Scale Effects ◽  
Projection Area ◽  
Distribution Models ◽  
Forest Inventories ◽  
Occurrence Data

ABSTRACT Knowledge of the geographical distribution of timber tree species in the Amazon is still scarce. This is especially true at the local level, thereby limiting natural resource management actions. Forest inventories are key sources of information on the occurrence of such species. However, areas with approved forest management plans are mostly located near access roads and the main industrial centers. The present study aimed to assess the spatial scale effects of forest inventories used as sources of occurrence data in the interpolation of potential species distribution models. The occurrence data of a group of six forest tree species were divided into four geographical areas during the modeling process. Several sampling schemes were then tested applying the maximum entropy algorithm, using the following predictor variables: elevation, slope, exposure, normalized difference vegetation index (NDVI) and height above the nearest drainage (HAND). The results revealed that using occurrence data from only one geographical area with unique environmental characteristics increased both model overfitting to input data and omission error rates. The use of a diagonal systematic sampling scheme and lower threshold values led to improved model performance. Forest inventories may be used to predict areas with a high probability of species occurrence, provided they are located in forest management plan regions representative of the environmental range of the model projection area.

scholarly journals Colonization and extinction dynamics and their link to the distribution of European trees at continental scale

2019 ◽  
Author(s):  
Arnaud Guyennon ◽  
Björn Reineking ◽  
Jonas Dahlgren ◽  
Aleksi Lehtonen ◽  
Sophia Ratcliffe ◽  
...  
Keyword(s):  
Species Distribution ◽  
Tree Species ◽  
Species Distribution Model ◽  
Distribution Model ◽  
Metapopulation Dynamics ◽  
Occurrence Probability ◽  
Distribution Models ◽  
Continental Scale ◽  
Forest Inventories ◽  
National Forest Inventories

AbstractAimProcesses driving current tree species distribution are still largely debated. Attempts to relate species distribution and population demography metrics have shown mixed results. In this context, we would like to test the hypotheses that the metapopulation processes of colonization and extinction are linked to species distribution models.LocationEurope: Spain, France, Germany, Finland, and Sweden.TaxonAngiosperms and Gymnosperms.MethodsFor the 17 tree species analyzed we fitted species distribution model (SDM) relating environmental variables to presence absence data across Europe. Then using independent data from national forest inventories across Europe we tested whether colonization and extinction probabilities are related to occurrence probability estimated by the SDMs. Finally, we tested how colonization and extinction respectively drive probability of presence at the metapopulation equilibrium.ResultsWe found that for most species at least one process (colonization/extinction) is related to the occurrence probability, but rarely both.Main conclusionsOur study supports the view that metapopulation dynamics are partly related to SDM occurrence probability through one of the metapopulation probabilities. However these links are relatively weak and the metapopulation models tend to overestimate the occurrence probability. Our results call for caution in model extrapolating SDM models to metapopulation dynamics.

scholarly journals Actual European forest management by region, tree species and owner based on 714,000 re-measured trees in national forest inventories

PLoS ONE ◽  
2018 ◽  
Vol 13 (11) ◽  
pp. e0207151 ◽  
Author(s):  
Mart-Jan Schelhaas ◽  
Jonas Fridman ◽  
Geerten M. Hengeveld ◽  
Helena M. Henttonen ◽  
Aleksi Lehtonen ◽  
...  
Keyword(s):  
Forest Management ◽  
Tree Species ◽  
National Forest ◽  
Forest Inventories ◽  
National Forest Inventories ◽  
European Forest

scholarly journals Harmonized Classification of Forest Types in the Iberian Peninsula Based on National Forest Inventories

Forests ◽  
2020 ◽  
Vol 11 (11) ◽  
pp. 1170
Author(s):  
Leónia Nunes ◽  
Mauro Moreno ◽  
Iciar Alberdi ◽  
Juan Gabriel Álvarez-González ◽  
Paulo Godinho-Ferreira ◽  
...  
Keyword(s):  
Forest Management ◽  
Iberian Peninsula ◽  
Clustering Algorithm ◽  
Forest Products ◽  
Forest Area ◽  
National Forest ◽  
Forest Types ◽  
Forest Inventories ◽  
National Forest Inventories ◽  
Management And Conservation

National Forest Inventories (NFIs) collect and provide a large amount of information regarding the forest volume, carbon stocks, vitality, biodiversity, non-wood forest products and their changes. Forest stands variables data are paramount to understanding their composition, especially on those related with understory characteristics and the coverage of species according to canopy layers; they are essential to assess biodiversity and to support forest management. At the same time, these inventories allow the development of harmonized forest descriptions beyond the national scale. This study aims to develop a homogeneous characterization of the Iberian Peninsula’s forests, in order to classify and identify the forest types. For this purpose, harmonized data from NFIs of Portugal and Spain were used to assess the composition of species, dominance and the percentage of cover for each species in a vertical space defined by seven canopy layers. Using the “K-means” clustering algorithm, a set of clusters was identified and georeferenced using forest polygons from land use and cover maps of both countries. The interpretation and description of the clusters lead to the establishment of 28 forest types that characterize all of the Iberian Peninsula forests. Each forest area has been described through one of the forest types and their relation with other ecological characteristics of the stands was analyzed. Shrubs formations are generally widely distributed in the forest area of the Iberian Peninsula, however their abundance in terms of cover is lower in comparison with tree species. Around 71% of the forest types are dominated by trees, mainly species from the genera Pinus and Quercus, and 21% are dominated by shrub formations with species of Ulex spp., Cytisus spp., and Cistus spp. The Quercus ilex s.l. L. and Pinus pinaster Aiton are the common species of importance for both NFIs. The results represent a powerful and homogenous multi-use tool describing the Iberian Peninsula’s forestlands with applications on landscape analysis, forest management and conservation. This information can be used for comparisons at larger scales, allowing cross-border analysis in relation to various aspects, such as hazards and wildfires, as well as management and conservation of forest biodiversity. The developed method is adaptable to an updated dataset from more recent NFIs and to other study areas.

scholarly journals Harmonising, improving and using social and recreational data in National Forest Inventories across Europe

2020 ◽  
Vol 77 (3) ◽  
Author(s):  
Mark A. Atkinson ◽  
David M. Edwards ◽  
Frank Søndergaard Jensen ◽  
Alexander P. N. van der Jagt ◽  
Ben R. Ditchburn ◽  
...  
Keyword(s):  
National Level ◽  
European Countries ◽  
Transport Infrastructure ◽  
National Forest ◽  
Qualitative Response ◽  
Forest Inventories ◽  
Recreational Services ◽  
National Forest Inventories ◽  
Funded Project ◽  
General Transport

Abstract Key message National Forest Inventories (NFIs) hold promise for monitoring and valuing of non-productive forest functions, including social and recreational services. European countries use a range of methods to collect social and recreational information within their NFI methodologies. Data collected frequently included general and recreation-specific infrastructure, but innovative approaches are also used to monitor recreational use and social abuse. Context Social and recreational indicators are increasingly valued in efforts to measure the non-productive value of forests in Europe. National Forest Inventories (NFIs) can be used to estimate recreational and social usage of forest land at a national level and relate this use to other biophysical, spatial and topographical features. Nonetheless, there is little information concerning the extent. Aims The study aims to identify the coverage of social and recreational data present in European NFIs including the types of data recorded as part of the NFI methodologies across European countries. It also aims to examine contrasting methods used to record social and recreational data and present recommendations for ways forward for countries to integrate these into NFI practice. Methods A pan-European questionnaire was designed and distributed to 35 counties as part of the EU-funded project Distributed, Integrated and Harmonised Forest Information for Bioeconomy Outlooks (DIABOLO). The questionnaire probed countries on all social and recreational data that was included within NFIs. Qualitative response data was analysed and recoded to measure the extent of social and recreational data recoded in European NFIs both as a function of the number of variable categories per country and the number of countries recording particular variables. Results Thirty-one countries reported at least one social or recreational variable over 12 categories of data. The most frequently recorded variables included ownership, general transport infrastructure and recreation-specific infrastructure. Countries collecting data over many different categories included Switzerland, Great Britain, Czech Republic, Luxemburg and Denmark. Conclusion The study proposes a specific set of indicators, based upon countries with well-developed social and recreational data in their NFIs, which could be used by other countries, and report on the extent to which these are currently collected across Europe. It discusses results and makes a series of recommendations concerning priorities for the inclusion of social and recreational data in European NFIs.

Sign in / Sign up

Export Citation Format

Share Document