scholarly journals Hydrological niche segregation defines forest structure and drought tolerance strategies in a seasonal Amazon forest

2018 ◽  
Vol 107 (1) ◽  
pp. 318-333 ◽  
Author(s):  
Mauro Brum ◽  
Matthew A. Vadeboncoeur ◽  
Valeriy Ivanov ◽  
Heidi Asbjornsen ◽  
Scott Saleska ◽  
...  
2015 ◽  
Vol 12 (23) ◽  
pp. 19043-19072 ◽  
Author(s):  
D. C. Morton ◽  
J. Rubio ◽  
B. D. Cook ◽  
J.-P. Gastellu-Etchegorry ◽  
M. Longo ◽  
...  

Abstract. The complex three-dimensional (3-D) structure of tropical forests generates a diversity of light environments for canopy and understory trees. Understanding diurnal and seasonal changes in light availability is critical for interpreting measurements of net ecosystem exchange and improving ecosystem models. Here, we used the Discrete Anisotropic Radiative Transfer (DART) model to simulate leaf absorption of photosynthetically active radiation (lAPAR) for an Amazon forest. The 3-D model scene was developed from airborne lidar data, and local measurements of leaf reflectance, aerosols, and PAR were used to model lAPAR under direct and diffuse illumination conditions. Simulated lAPAR under clear sky and cloudy conditions was corrected for light saturation effects to estimate light utilization, the fraction of lAPAR available for photosynthesis. Although the fraction of incoming PAR absorbed by leaves was consistent throughout the year (0.80–0.82), light utilization varied seasonally (0.67–0.74), with minimum values during the Amazon dry season. Shadowing and light saturation effects moderated potential gains in forest productivity from increasing PAR during dry season months when the diffuse fraction from clouds and aerosols was low. Comparisons between DART and other models highlighted the role of 3-D forest structure to account for seasonal changes in light utilization. Our findings highlight how directional illumination and forest 3-D structure combine to influence diurnal and seasonal variability in light utilization, independent of further changes in leaf area, leaf age, or environmental controls on canopy photosynthesis. Changing illumination geometry constitutes an alternative biophysical explanation for observed seasonality in Amazon forest productivity without changes in canopy phenology.


2019 ◽  
Vol 46 (24) ◽  
pp. 14807-14816
Author(s):  
K.C. Pattnayak ◽  
J .C. Tindall ◽  
R. J. W. Brienen ◽  
J. Barichivich ◽  
E. Gloor

2018 ◽  
Vol 13 (6) ◽  
pp. 065013 ◽  
Author(s):  
Danielle I Rappaport ◽  
Douglas C Morton ◽  
Marcos Longo ◽  
Michael Keller ◽  
Ralph Dubayah ◽  
...  

2016 ◽  
Vol 8 (8) ◽  
pp. 615 ◽  
Author(s):  
Max Messinger ◽  
Gregory Asner ◽  
Miles Silman

2008 ◽  
Vol 25 (4) ◽  
pp. 630-639 ◽  
Author(s):  
Renato Cintra ◽  
Jessica Cancelli

Recently, a significant number of studies on neotropical forest bird communities have focused on factors influencing their richness, abundance, and habitat selection. However, few of them have considered populations or individual species, and how habitat structure affects their distribution and abundance. In this study, we investigated how the combined effects of some forest structure components affect the occurrence and abundance of a resident bird species, the scale-backed antbird Hylophylax poecilinotus (Cabanis, 1847). We tested the null hypothesis of no difference between the variation in forest structure components at locations where birds occurred and at locations where they did not. In a pristine Terra Firme forest at the Ducke Reserve, Manaus, we recorded bird occurrence and abundance using mist nets in 56 transects (1 km long each) within a 9 x 9 km trail grid covering 6400 ha. Also in the same 56 transects, we set 50 x 50 m plots and recorded the following seven components of forest structure and landscape: 1) canopy opening, 2) leaf litter, 3) tree abundance, 4) logs, 5) snags, 6) streams, and 7) elevation. We evaluated their effects on avian occurrence and abundance by using models of Multiple Logistic Regression (for bird occurrence) and Multiple Linear Regression (for bird abundance). The results suggested that H. poecilinotus occurred significantly more often in lowland areas, in areas located farther away from streams, and in areas bearing thicker leaf litter. Hylophylax poecilinotus was also more abundant in lowland areas and in areas located further away from streams. Overall, the results indicated that environmental heterogeneity produced by variation in forest structure components affects habitat use by this bird species in the Amazon forest.


2016 ◽  
Vol 13 (7) ◽  
pp. 2195-2206 ◽  
Author(s):  
Douglas C. Morton ◽  
Jérémy Rubio ◽  
Bruce D. Cook ◽  
Jean-Philippe Gastellu-Etchegorry ◽  
Marcos Longo ◽  
...  

Abstract. The complex three-dimensional (3-D) structure of tropical forests generates a diversity of light environments for canopy and understory trees. Understanding diurnal and seasonal changes in light availability is critical for interpreting measurements of net ecosystem exchange and improving ecosystem models. Here, we used the Discrete Anisotropic Radiative Transfer (DART) model to simulate leaf absorption of photosynthetically active radiation (lAPAR) for an Amazon forest. The 3-D model scene was developed from airborne lidar data, and local measurements of leaf reflectance, aerosols, and PAR were used to model lAPAR under direct and diffuse illumination conditions. Simulated lAPAR under clear-sky and cloudy conditions was corrected for light saturation effects to estimate light utilization, the fraction of lAPAR available for photosynthesis. Although the fraction of incoming PAR absorbed by leaves was consistent throughout the year (0.80–0.82), light utilization varied seasonally (0.67–0.74), with minimum values during the Amazon dry season. Shadowing and light saturation effects moderated potential gains in forest productivity from increasing PAR during dry-season months when the diffuse fraction from clouds and aerosols was low. Comparisons between DART and other models highlighted the role of 3-D forest structure to account for seasonal changes in light utilization. Our findings highlight how directional illumination and forest 3-D structure combine to influence diurnal and seasonal variability in light utilization, independent of further changes in leaf area, leaf age, or environmental controls on canopy photosynthesis. Changing illumination geometry constitutes an alternative biophysical explanation for observed seasonality in Amazon forest productivity without changes in canopy phenology.


Biotropica ◽  
2007 ◽  
Vol 40 (2) ◽  
pp. 141-150 ◽  
Author(s):  
Michael Palace ◽  
Michael Keller ◽  
Gregory P. Asner ◽  
Stephen Hagen ◽  
Bobby Braswell

CERNE ◽  
2016 ◽  
Vol 22 (4) ◽  
pp. 457-464 ◽  
Author(s):  
Vinicius Costa Cysneiros ◽  
Sebastião do Amaral Machado ◽  
Allan Libanio Pelissari ◽  
Afonso Figueiredo Filho ◽  
Edilson Urbano

ABSTRACT The abundance of tree species in tropical rainforests with different shapes and dimensions, as well as the great structural diversity, makes difficult the employment of form factors or equations to estimate individual volumes. However, the employment of equations at the population level makes possible to predict the volumetric stock per unit of area from forest attributes, excluding the necessity of individual tree volume evaluation. Thereby, the aim of this study was to select variables, fit statistical models and propose stand equations to estimate total and exploitable commercial volumes in an Amazon forest under concession regime. For this, variables commonly measured, like density and basal area, were inserted on traditional commercial volume models; besides the application of variables that considered the diversity and forest structure on models generated by the Stepwise process. After analysis, it was observed that the models obtained through Stepwise propitiated more precise estimation of the volumetric stock, reducing estimation errors and reducing problems with heteroscedasticity of residuals. The insertion of variables that express diversity and forest structure on the equations, like Shannon’s and diametric variation indices and the commercial trees ratio, contribute to predictions’ improvement, especially for the exploitable commercial volume, being recommended for the precise evaluation of timber potential of areas under Amazon forest concession.


2009 ◽  
Vol 25 (6) ◽  
pp. 657-663 ◽  
Author(s):  
Juliana M. Silveira ◽  
Jos Barlow ◽  
Alex V. Krusche ◽  
Kate H. Orwin ◽  
Jennifer K. Balch ◽  
...  

Abstract:Litter decomposition is a fundamental process for nutrient cycling but we have a limited understanding of this process in disturbed tropical forests. We studied litter decomposition over a 10-mo period in a seasonally dry Amazon forest in Mato Grosso, Brazil. The study plots (50 ha each) included unburned forest (UF), once-burned (BF1) and forest burned annually for 3 y (BF3). We measured understorey density, litter depth, canopy openness, temperature and relative humidity in the plots. Decomposition experiments took place using 720 litterbags filled with approximately 10 g of natural abscised oven-dried leaves. To test the effects of fire on soil meso- and macrofauna, the litterbags had either a fine (2 mm) or coarse (with 1-cm holes in side) mesh size. Litterbags were collected and reweighed 2, 4, 6 and 8 mo after being placed on the forest floor. All forest structure variables were significantly different across plots: BF3 was hotter, less humid, had the highest degree of canopy openness, lowest understorey density and the shallowest litter depth. Litter decomposition (mass loss) was similar in the once-burned and unburned plots, but declined more slowly in BF3. In addition, decomposition was slower in fine-mesh litterbags than coarse-mesh litterbags in BF3, but there was no difference between mesh sizes in BF1 and UF. It is likely that changes in forest structure and microclimate explain the lower decomposition rates in BF3. These results show the importance of recurrent fires, but suggest that single understorey fires may not have long-term negative effects on some ecological processes in seasonally dry Amazonian forests.


Sign in / Sign up

Export Citation Format

Share Document