The Valuation of Thinning Efectivity Based on Increment Respond of Natural Forest Log Over Area

Efforts to increase the natural forest productivity was conducted using several ways one of which is through thinning but the effectiveness is not well known yet. The research aims to evaluate the effectiveness of the application of thinning techniques to logged-over natural forests based on the response of the stand increment. The study design was an 11-year-old logged-over natural forest stand that was carried out systematic thinning, thinning based on built trees and without treatment with a total area of 24 ha. Data collection is done by census inventory of trees with limit diameter of 10 cm per 2 years periodically. Stand conditions in the research plot varied in value range of density (419-510 stems ha-1) and the base plane (22.66-28.20 m2.ha-1) which were not too wide. The results of the calculation of the base plan of the stand shows that systematic thinning yields a larger stand increment (0.78-1.95 m2.ha-1.2th-1) compared to thinning based on built trees and without treatment. Thinning gives more responsive results for the Dipterocarp species group (the increment value is almost twice to normal) compared to non Dipterocarp. Based on the regression analysis, function of time period has correlation between 25-33% to the basal area increment. A systematic thinning technique approach that is more appropriate for increasing stand productivity

The Forest Observation System, building a global reference dataset for remote sensing of forest biomass

International audienceForest biomass is an essential indicator for monitoring the Earth's ecosystems and climate. It is a critical input to greenhouse gas accounting, estimation of carbon losses and forest degradation, assessment of renewable energy potential, and for developing climate change mitigation policies such as REDD+, among others. Wall-to-wall mapping of aboveground biomass (aGB) is now possible with satellite remote sensing (RS). However, RS methods require extant, up-to-date, reliable, representative and comparable in situ data for calibration and validation. Here, we present the Forest Observation System (FOS) initiative, an international cooperation to establish and maintain a global in situ forest biomass database. aGB and canopy height estimates with their associated uncertainties are derived at a 0.25 ha scale from field measurements made in permanent research plots across the world's forests. all plot estimates are geolocated and have a size that allows for direct comparison with many RS measurements. The FOS offers the potential to improve the accuracy of RS-based biomass products while developing new synergies between the RS and ground-based ecosystem research communities

BIODIVERSITY IMPORTANT FACTORS ASSESSMENT ON LOWLAND TROPICAL FOREST BY ECOLOGICAL QUANTITATIVE PARAMETERS

Biodiversity assessment, even in natural forest production has become one important view to consider the balanced ecology in order to maintain productivity function. Most recent studies indicated the partial approach to biodiversity valuation then would provide occurmultiple or difference view. This study aims at identifying the biodiversity important factors as assessment tools on lowland tropical forest by ecological quantitative parameters approach. The study was conducted on Labanan forest research station as lowland tropical forest that is located in Berau district East Kalimantan Province. Data collecting from permanent research plots that consist of 3 variations of logged over forest with different logging techniques and primary condition as control with total area of 48 ha, which measurement conducted periodically every two years along 24 years. Arrangement of ecological important variables based on fluctuation values of the quantitateive dimension which included: density (number of stems), basal area, number of species, shannon diversity index, species abundance, richness index andevenness index. To identify important variables of performance characteristics of biodiversity assessment using by factor analysis basedon Bartlett's Test of Sphericity with value of KMO (Kaiser Meyer Olkin) then the principal component dispersion using Biplot analysis.  Determination of important variables based on minimum coefficient variance with total proportion cumulative percentage >80% and eigenvalue >1. The tendency towards of important ecological parameters as biodiversity assessment approach of lowland tropical forest stands after logging could be concluded by 2 important factors are evenness index and species abundancy value.  Key words: biodiversity, ecological, lowland tropical forest, quantitative parameter

The tropical managed forests observatory: a research network addressing the future of tropical logged forests

While attention on logging in the tropics has been increasing, studies on the long-term effects of silviculture on forest dynamics and ecology remain scare and spatially limited. Indeed, most of our knowledge on tropical forests arises from studies carried out in undisturbed tropical forests. This bias is problematic given that logged and disturbed tropical forests are now covering a larger area than the so-called primary forests. A new network of permanent sample plots in logged forests, the Tropical managed Forests Observatory (TmFO), aims to fill this gap by providing unprecedented opportunities to examine long-term data on the resilience of logged tropical forests at regional and global scales. TmFO currently includes 24 experimental sites distributed across three tropical regions, with a total of 490 permanent plots and 921ha of forest inventories

The Forest Observation System, building a global reference dataset for remote sensing of forest biomass

Forest biomass is an essential indicator for monitoring the Earth's ecosystems and climate. It is a critical input to greenhouse gas accounting, estimation of carbon losses and forest degradation, assessment of renewable energy potential, and for developing climate change mitigation policies such as REDD+, among others. Wall-to-wall mapping of aboveground biomass (AGB) is now possible with satellite remote sensing (RS). However, RS methods require extant, up-to-date, reliable, representative and comparable in situ data for calibration and validation. Here, we present the Forest Observation System (FOS) initiative, an international cooperation to establish and maintain a global in situ forest biomass database. AGB and canopy height estimates with their associated uncertainties are derived at a 0.25 ha scale from field measurements made in permanent research plots across the world's forests. All plot estimates are geolocated and have a size that allows for direct comparison with many RS measurements. The FOS offers the potential to improve the accuracy of RS- based biomass products while developing new synergies between the RS and ground-based ecosystem research communities.</p