Corrigendum to “Contrasting performance of Lidar and optical texture models in predicting avian diversity in a tropical mountain forest”

2016 ◽  
Vol 178 ◽  
pp. 223
Author(s):  
C.I.B. Wallis ◽  
D. Paulsch ◽  
J. Zeilinger ◽  
B. Silva ◽  
G.F. Curatola Fernández ◽  
...  
2016 ◽  
Vol 174 ◽  
pp. 223-232 ◽  
Author(s):  
Christine I.B. Wallis ◽  
Detlev Paulsch ◽  
Jörg Zeilinger ◽  
Brenner Silva ◽  
Giulia F. Curatola Fernández ◽  
...  

2021 ◽  
Vol 26 ◽  
pp. e01461
Author(s):  
Renee Sherna Laing ◽  
Kian Huat Ong ◽  
Roland Jui Heng Kueh ◽  
Nixon Girang Mang ◽  
Patricia Jie Hung King

2019 ◽  
Vol 11 (12) ◽  
pp. 1413 ◽  
Author(s):  
Víctor González-Jaramillo ◽  
Andreas Fries ◽  
Jörg Bendix

The present investigation evaluates the accuracy of estimating above-ground biomass (AGB) by means of two different sensors installed onboard an unmanned aerial vehicle (UAV) platform (DJI Inspire I) because the high costs of very high-resolution imagery provided by satellites or light detection and ranging (LiDAR) sensors often impede AGB estimation and the determination of other vegetation parameters. The sensors utilized included an RGB camera (ZENMUSE X3) and a multispectral camera (Parrot Sequoia), whose images were used for AGB estimation in a natural tropical mountain forest (TMF) in Southern Ecuador. The total area covered by the sensors included 80 ha at lower elevations characterized by a fast-changing topography and different vegetation covers. From the total area, a core study site of 24 ha was selected for AGB calculation, applying two different methods. The first method used the RGB images and applied the structure for motion (SfM) process to generate point clouds for a subsequent individual tree classification. Per the classification at tree level, tree height (H) and diameter at breast height (DBH) could be determined, which are necessary input parameters to calculate AGB (Mg ha−1) by means of a specific allometric equation for wet forests. The second method used the multispectral images to calculate the normalized difference vegetation index (NDVI), which is the basis for AGB estimation applying an equation for tropical evergreen forests. The obtained results were validated against a previous AGB estimation for the same area using LiDAR data. The study found two major results: (i) The NDVI-based AGB estimates obtained by multispectral drone imagery were less accurate due to the saturation effect in dense tropical forests, (ii) the photogrammetric approach using RGB images provided reliable AGB estimates comparable to expensive LiDAR surveys (R2: 0.85). However, the latter is only possible if an auxiliary digital terrain model (DTM) in very high resolution is available because in dense natural forests the terrain surface (DTM) is hardly detectable by passive sensors due to the canopy layer, which impedes ground detection.


Trees ◽  
2010 ◽  
Vol 25 (1) ◽  
pp. 59-70 ◽  
Author(s):  
Julia Krepkowski ◽  
Achim Bräuning ◽  
Aster Gebrekirstos ◽  
Simone Strobl

2019 ◽  
Vol 16 (10) ◽  
pp. 2335-2347 ◽  
Author(s):  
Chalthleng Lalnunzira ◽  
Francis Q. Brearley ◽  
Shri Kant Tripathi

2012 ◽  
Vol 9 (1) ◽  
pp. 131-131
Author(s):  
Boris Thies ◽  
Hanna Meyer ◽  
Thomas Nauss ◽  
Jörg Bendix

2021 ◽  
Vol 2 (2) ◽  
pp. 2382-2397
Author(s):  
Francisco Prieto García ◽  
Judith Prieto Méndez ◽  
Beatriz Valdes Prado ◽  
Eliazar Aquino Torres

ABSTRACT Soil respiration in forest ecosystems is considered to be the second most important carbon flux between the biosphere and the atmosphere. In tropical forests, the factor that most influences soil respiration is the temporal variation in temperature, and in water content or precipitation; the soil temperature is relatively constant. The behavior of the RS was established, and this ecological process was estimated and modeled for a tropical mountain forest in the State of Hidalgo, Mexico. It has contributed to strengthening the theoretical framework for the restoration and ecological conservation of this forest, considered a National Park, this has been the main objective of this work. Its relationship with the climatic parameters and factors that regulate CO2-soil-atmosphere fluxes in an annual cycle was analyzed. The daytime respiratory rate was slightly higher (average of 3.54 tmCO2/ha) than the nocturnal one (average of 3.35 tmCO2/ha), depending on the ambient temperature and the climatic conditions. The humic acid found in the soils was classified for the mountainous wooded area of the Chico National Park. Andosols are humic soils and humic acids were classified predominantly as type A. According to the results obtained, with only one year of evaluation, it should be noted that it is necessary to carry out a greater number of evaluations, at least during a period of 5 to 10 years and for different seasonal periods, in order to strengthen the responses found for this ecosystem.


Author(s):  
Omar Cabrera ◽  
Andreas Fries ◽  
Patrick Hildebrandt ◽  
Reinhard Mosandl

Research Highlights: The study determined that selective thinning causes different responses, the initial size of the tree released is an influential factor in the growth of species. The temporality of climate and physiological conditions of each species are influential in the growth. It is evident that the defoliation of certain species is an important factor that limits the growth of the species causing thinning to have a negative response. Background and Objectives: The objective is to analyze the behavior of nine timber species, respective to diametric growth after their liberation. This research aims to answer the following questions: (i) How do the selected tree species react to the liberation? (ii) Can the productivity of the trees (diametric growth) be enhanced by liberation? (iii) Are there other factors that influence the diametric growth of the released trees? Materials and Methods: The study was executed in the “Reserva Biológica San Francisco” were 488 trees were monitored, including nine timber species. Therefore, 197 trees were released (removal of competitors) and 251 trees served as reference. To check whether the initial DBH or other factors, like the selective thinning or climate conditions, determine the diameter growth a linear mixed model GLMM was applied. To adjust the linear mixed model a one-way Anova test was executed. Results: Timber species responded differently to the thinning in comparing to reference trees. Therefore, the species analyzed were separated into three groups (positive, negative, and no response to liberation). Conclusions: Liberation potentiates the growth of certain timber species that do not defoliate and considered semi-tolerant to shade. Precipitation and temperature affect all species, but in the defoliate species, it would not be convenient to release them or at least the evidence of these first three years does not show clear differences with control trees. Increase in trees released are higher in trees of the first two diametric classes in all species, this means that larger trees (i.e., older) release does not affect them in a positive way so release should occur in the youngest trees.


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