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forestry (17) 17
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by Liang, Jingjing and Crowther, Thomas W and Picard, Nicolas and Wiser, Susan and Zhou, Mo and Alberti, Giorgio and Schulze, Ernst-Detlef and McGuire, A. David and Bozzato, Fabio and Pretzsch, Hans and de-Miguel, Sergio and Paquette, Alain and Hérault, Bruno and Scherer-Lorenzen, Michael and Barrett, Christopher B and Glick, Henry B and Hengeveld, Geerten M and Nabuurs, Gert-Jan and Pfautsch, Sebastian and Viana, Helder and Vibrans, Alexander C and Ammer, Christian and Schall, Peter and Verbyla, David and Tchebakova, Nadja and Fischer, Markus and Watson, James V and Chen, Han Y. H and Lei, Xiangdong and Schelhaas, Mart-Jan and Lu, Huicui and Gianelle, Damiano and Parfenova, Elena I and Salas, Christian and Lee, Eungul and Lee, Boknam and Kim, Hyun Seok and Bruelheide, Helge and Coomes, David A and Piotto, Daniel and Sunderland, Terry and Schmid, Bernhard and Gourlet-Fleury, Sylvie and Sonké, Bonaventure and Tavani, Rebecca and Zhu, Jun and Brandl, Susanne and Vayreda, Jordi and Kitahara, Fumiaki and Searle, Eric B and Neldner, Victor J and Ngugi, Michael R and Baraloto, Christopher and Frizzera, Lorenzo and Bałazy, Radomir and Oleksyn, Jacek and Zawiła-Niedźwiecki, Tomasz and Bouriaud, Olivier and Bussotti, Filippo and Finér, Leena and Jaroszewicz, Bogdan and Jucker, Tommaso and Valladares, Fernando and Jagodzinski, Anzej M and Peri, Pablo L and Gonmadje, Christelle and Marthy, William and O’Brien, Timothy and Martin, Emanuel H and Marshall, Anew R and Rovero, Francesco and Bitariho, Robert and Niklaus, Pascal A and Alvarez-Loayza, Patricia and Chamuya, Nurdin and Valencia, Renato and Mortier, Frédéric and Wortel, Verginia and Engone-Obiang, Nestor L and Ferreira, Leano V and Odeke, David E and Vasquez, Rodolfo M and Lewis, Simon L and Reich, Peter B
Science, ISSN 0036-8075, 10/2016, Volume 354, Issue 6309, pp. aaf8957 - aaf8957
Journal Article
Anais da Academia Brasileira de Ciencias, ISSN 0001-3765, 10/2018, Volume 90, Issue 4, pp. 3729 - 3744
The majority of Atlantic Forest fragments in Southern Brazil are second-growth forests dominated by fast-growing species with considerable market-value timber.... 
Regression | Modelling | Mata Atlântica | Forest inventory | Mata Atlantica | modelling | regression | BIOMASS | MULTIDISCIPLINARY SCIENCES | Brazil | Forests | Trees - growth & development | Models, Biological
Journal Article
Remote Sensing of Environment, ISSN 0034-4257, 03/2013, Volume 130, pp. 87 - 95
Estimation of large area forest attributes, such as area of forest cover, from remote sensing-based maps is challenging because of image processing,... 
Santa Catarina Forest and Floristic Inventory | Accuracy assessment | Model-assisted regression estimator | IPCC good practice guidance | Confidence interval | ENVIRONMENTAL SCIENCES | IMPACT | REMOTE SENSING | SECONDARY FORESTS | RAIN-FOREST | IMAGING SCIENCE & PHOTOGRAPHIC TECHNOLOGY
Journal Article
Canadian Journal of Forest Research, ISSN 0045-5067, 2016, Volume 46, Issue 7, pp. 924 - 932
For a study area in the Brazilian state of Santa Catarina, the utilities of local and global forest maps in combination with poststratified and model-assisted... 
logistic regression model | modèle de régression logistique | inference | Santa Catarina | Brazil | inférence | Brésil | Inference | Logistic regression model | Santa catarina | COVER | SATELLITE IMAGERY | IMAGE-BASED MAPS | ACCURACY ASSESSMENT | INVENTORY | VARIANCE | FORESTRY | Logistic regression | Forest management | Usage | Maps | Methods
Journal Article
SCIENTIA AGRICOLA, ISSN 1678-992X, 2020, Volume 77, Issue 1
A key issue in large-area inventories is defining a suitable sampling design and the effort required to obtain reliable estimates of species richness and... 
systematic sampling | RAREFACTION | DEFINITION | DECIDUOUS FOREST | forest attributes estimation | CLASSIFICATION | RARITY | secondary forests | EXTRAPOLATION | species richness | forest monitoring | AREA | ESTIMATORS | AGRICULTURE, MULTIDISCIPLINARY
Journal Article
Forestry, ISSN 0015-752X, 2017, Volume 90, Issue 1, pp. 112 - 124
Estimation of wood volume and biomass is an important assignment of any National Forest Inventory. However, the estimation process is often expensive,... 
REGRESSION | NATIONAL FOREST | UNCERTAINTY | ABOVEGROUND BIOMASS | FORESTRY | INDIVIDUAL-TREE VOLUME | INFERENCE | MODEL PREDICTIONS | CARBON STOCKS | GENETIC ALGORITHM | ACCURACY
Journal Article
Annals of Forest Science, ISSN 1286-4560, 9/2015, Volume 72, Issue 6, pp. 865 - 874
We adjusted generic models for species-rich forest types and specific models for 15 species. Regression assumptions, lack of fitness and goodness of fit and... 
Life Sciences | Environment, general | Modelling efficiency | Volumetric models | Wood Science & Technology | Forestry | Forestry Management | Regression assumptions | Tree Biology | Forest inventory | Goodness of fit | ABOVEGROUND BIOMASS | INDIVIDUAL-TREE VOLUME | TROPICAL FORESTS | INVENTORY | UNCERTAINTY | PREDICTIONS | ALLOMETRIC MODELS | FORESTRY
Journal Article
PhytoKeys, ISSN 1314-2011, 2014, Volume 42, Issue 1, pp. 21 - 37
Journal Article