Degradation and forgone removals increase the carbon impact of intact forest loss by 626%

Intact tropical forests, free from substantial anthropogenic influence, store and sequester large amounts of atmospheric carbon but are currently neglected in international climate policy. We show that between 2000 and 2013, direct clearance of intact tropical forest areas accounted for 3.2% of gross carbon emissions from all deforestation across the pantropics. However, full carbon accounting requires the consideration of forgone carbon sequestration, selective logging, edge effects, and defaunation. When these factors were considered, the net carbon impact resulting from intact tropical forest loss between 2000 and 2013 increased by a factor of 6 (626%), from 0.34 (0.37 to 0.21) to 2.12 (2.85 to 1.00) petagrams of carbon (equivalent to approximately 2 years of global land use change emissions). The climate mitigation value of conserving the 549 million ha of tropical forest that remains intact is therefore significant but will soon dwindle if their rate of loss continues to accelerate

Parallel functional and stoichiometric trait shifts in South American and African forest communities with elevation

The Amazon and Congo basins are the two largest continuous blocks of tropical forest with a central role for global biogeochemical cycles and ecology. However, both biomes differ in structure and species richness and composition. Understanding future directions of the response of both biomes to environmental change is paramount. We used one elevational gradient on both continents to investigate functional and stoichiometric trait shifts of tropical forest in South America and Africa. We measured community-weighted functional canopy traits and canopy and topsoil delta N-15 signatures. We found that the functional forest composition response along both transects was parallel, with a shift towards more nitrogen-conservative species at higher elevations. Moreover, canopy and topsoil delta N-15 signals decreased with increasing altitude, suggesting a more conservative N cycle at higher elevations. This cross-continental study provides empirical indications that both South American and African tropical forest show a parallel response with altitude, driven by nitrogen availability along the elevational gradients, which in turn induces a shift in the functional forest composition. More standardized research, and more research on other elevational gradients is needed to confirm our observations

Tropical forest systems: A hydrological approach

This paper briefly examines the importance of considering the rates and magnitudes of water movement in the hillslope-river system of a tropical rainforest catchment. It is proposed that consideration of water movement is a fundamental component in understanding the release and movement of nutrients in this environment. In any such analysis it is essential that the 'opportunity time' or 'residence time' together with the availability of weatherable minerals be considered. Three conditions are suggested to account for the low solute concentrations in stream waters, each, any or all three of which may occur. (1) If there are no soil nutrients of importance then there can be supply neither to the river nor the plants. (2) If the residence time is too short relative to the equilibriation time of the minerals, then weathering and exchange may not occur. (3) If the residence time is too long (because rate of movement is slow), the 'turnover' will be small. In this context the analogy of an overflowing cup is discussed as a possible explanation of low solute concentrations. The results presented in the paper refer to the period 6th - 26thMay 1977, from a small hillslope-river segment at Resewa Ducke, Amazonas. Measurements made included soil tension, piezometric levels, river stage, infìltration rates and wetting front movement. Using Darcy's Law, water fluxes are determined. Draw down characteristics of the piezometers and river stage have been estimated using regressions of the logarithms of both these variables against the logarithm of time. The results suggest that during the period of observation the slope is almost saturated with respect to water. Actual saturation (positive pressures) are observed to occur at the foot of the slope under all conditions and within the slope during the earliest set of observations. Results from the computation of water fluxes indicate little lateral movement, the dominant flow is at or very close to vertical. Analysis of piezometer level and river stage suggests a very close link between the two, with only limited influence from the adjacent hillslope. In conclusion it seems that during the wet season, most of the river flow is generated by rapid rise beneath the floodplain and the slope immediately adjacent to the floodplain as a direct result of rainfall infiltration and that throughflow is unimportant. This is consistent with certain aspects of the cup analogy and goes far to explain the very low solute concentration found in the water of this and similar barrancos

Height-diameter allometry of tropical forest trees

Tropical tree height-diameter (H:D) relationships may vary by forest type and region making large-scale estimates of above-ground biomass subject to bias if they ignore these differences in stem allometry. We have therefore developed a new global tropical forest database consisting of 39 955 concurrent H and D measurements encompassing 283 sites in 22 tropical countries. Utilising this database, our objectives were: 1. to determine if H:D relationships differ by geographic region and forest type (wet to dry forests, including zones of tension where forest and savanna overlap). 2. to ascertain if the H:D relationship is modulated by climate and/or forest structural characteristics (e.g. stand-level basal area, A). 3. to develop H:D allometric equations and evaluate biases to reduce error in future local-to-global estimates of tropical forest biomass. Annual precipitation coefficient of variation (PV), dry season length (SD), and mean annual air temperature (TA) emerged as key drivers of variation in H:D relationships at the pantropical and region scales. Vegetation structure also played a role with trees in forests of a high A being, on average, taller at any given D. After the effects of environment and forest structure are taken into account, two main regional groups can be identified. Forests in Asia, Africa and the Guyana Shield all have, on average, similar H:D relationships, but with trees in the forests of much of the Amazon Basin and tropical Australia typically being shorter at any given D than their counterparts elsewhere. The region-environment-structure model with the lowest Akaike\u27s information criterion and lowest deviation estimated stand-level H across all plots to within amedian −2.7 to 0.9% of the true value. Some of the plot-to-plot variability in H:D relationships not accounted for by this model could be attributed to variations in soil physical conditions. Other things being equal, trees tend to be more slender in the absence of soil physical constraints, especially at smaller D. Pantropical and continental-level models provided less robust estimates of H, especially when the roles of climate and stand structure in modulating H:D allometry were not simultaneously taken into account

MODELING ECOLOGICAL CONSTRAINTS ON TROPICAL FOREST MANAGEMENT: COMMENT

We comment on four aspects of Albers' [1] model of ecological constraints on tropical forest management. Albers structures her model in a highly asymmetric manner, with strong, uniform biases against development and in favor of preservation. Despite Albers' repeated claims that her model is "complete" and that it has significant implications for tropical forest management, we contend instead that the results of a truly general, empirically defensible model are inherently ambiguous. Spatial and intertemporal dimensions clearly matter, but they do not point as neatly in favor of preservation as Albers would have us believe. Note: Forthcoming in Journal of Environmental Economics and Managementforest, interdependence, irreversibility, management, uncertainty, Resource /Energy Economics and Policy, D81, Q15, Q23,

Estimating Tropical Forest Structure Using a Terrestrial Lidar

Forest structure comprises numerous quantifiable biometric components and characteristics, which include tree geometry and stand architecture. These structural components are important in the understanding of the past and future trajectories of these biomes. Tropical forests are often considered the most structurally complex and yet least understood of forested ecosystems. New technologies have provided novel avenues for quantifying biometric properties of forested ecosystems, one of which is LIght Detection And Ranging (lidar). This sensor can be deployed on satellite, aircraft, unmanned aerial vehicles, and terrestrial platforms. In this study we examined the efficacy of a terrestrial lidar scanner (TLS) system in a tropical forest to estimate forest structure. Our study was conducted in January 2012 at La Selva, Costa Rica at twenty locations in a predominantly undisturbed forest. At these locations we collected field measured biometric attributes using a variable plot design. We also collected TLS data from the center of each plot. Using this data we developed relative vegetation profiles (RVPs) and calculated a series of parameters including entropy, Fast Fourier Transform (FFT), number of layers and plant area index to develop statistical relationships with field data.We developed statistical models using a series of multiple linear regressions, all of which converged on significant relationships with the strongest relationship being for mean crown depth (r2 = 0.88, p \u3c 0.001, RMSE = 1.04 m). Tree density was found to have the poorest significant relationship (r2 = 0.50, p \u3c 0.01, RMSE = 153.28 n ha-1). We found a significant relationship between basal area and lidar metrics (r2 = 0.75, p \u3c 0.001, RMSE = 3.76 number ha-1). Parameters selected in our models varied, thus indicating the potential relevance of multiple features in canopy profiles and geometry that are related to field-measured structure. Models for biomass estimation included structural canopy variables in addition to height metrics. Our work indicates that vegetation profiles from TLS data can provide useful information on forest structure