LEI 11284 DE 2006 PDF
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Sales and Souza Jr. However, to simulate the PPF curves and investigate the tradeoffs among competing land uses, we used annual profits i. To support public forest planning efforts, we combine spatially explicit data on logging profits, biodiversity, and potential for community use for use 1128 a forest planning optimization model.
Baraloto for comments and suggestions. For this reason, the objective function maximizes profits while taking land use constraints into account.
First, we draw upon the mathematical programming literature on the conservation lej site selection problem, which generally aims to conserve the maximum number of species at a minimum cost or using a minimum number leei reserves [ 4 — 9 ].
Inthe Brazilian Forest Service SFB concluded the first inventory of public lands, a starting point for detailed land use planning within public forests. We drew upon previous efforts to estimate the spatially explicit profitability of logging [ 15 — 17 ]. In the remaining area, only high-value species would be logged.
The potential lwi each stand for each land use is assumed to be known and is denoted by. The curves traced out mainly Figures 5 a and 5 b due to the similar comparative scale are useful to assess the effects of nonlogging land use alternatives over the NPV generated by logging.
Figure 6 a depicts the MOC as more stands are assigned to communities. The remaining stands cannot be harvested due dd high slopes. All these curves show that MOCs increase when a large proportion of FSF is used for uses other than logging since more profitable stands are increasingly assigned to these uses. Next, we need to incorporate land uses other than timber concessions into the model.
Brazilian regulations establish that management decisions in each public forest will be guided by a management plan, which will be generated based on surveys in each public forest, including forest inventories, designated important sites for biological conservation and tourism, and the location and needs of traditional forest dwellers.
In 1124 first set of model runs that follow, llei first assume that the spatial distribution of mills remains static. In our study, we consider community use and biodiversity conservation as possible alternative uses. While ed results are useful for planning in FSF, our primary se is to demonstrate the capability of the model to provide useful information to forest planners.
The volume harvested is constrained by the available merchantable timber volume in the forest and the milling capacity of the logging centers surrounding the public forest. The remaining profits are assumed to go to the government via a royalty mechanism that does not affect harvest decisionmaking. The model developed in this study is not intended to replace these efforts but, rather, by incorporating data generated from these surveys, given planners a method to easily visualize alternative planning landscapes.
Annual profits from 11824 in Faro State Forest for government and loggers with an increasing number of stands in nonlogging land uses harvested by current logging centers a or from closer cities b 112284 annual profits from logging in Faro State Forest for government and loggers with an increasing cumulative score for biodiversity conservation c and for community use d.
Obviously, as the number of stands assigned to alternative land uses such as biodiversity conservation and use by communities is increased, the number of stands logged, timber volume harvested, and profits from logging decrease.
Figure 6 b shows the same results for areas assigned to biodiversity conservation. These estimates assume that the government is able to fully capture rents. Lentini would like to thank D. Alternatively, the planner can impose a minimum score to be achieved for a given land use by assigning different weights for each land use. Harvests are assumed to be performed from current logging centers. We bring together two lines of research in forestry and natural resource management to help us develop our planning model.
Developing this information is an important priority for public forests planning. The land use choice for each stand is represented by a series of binary variableswhich take on a value of one if a particular land use is chosen, zero otherwise. From this map, we estimated the harvestable volume of each timber value class i.
lei 11284 de 2006 pdf file
Conceptual Background We bring together two lines of research in forestry and natural resource management to help us develop our planning model. The latter were assumed to be forests potentially being used by forest dwellers in their livelihood strategies in the first scenario simulated and df 3 in the second. This map was used to identify areas within the FSF with high potential in the first scenario simulated and to 5 in the second for biodiversity conservation.
The software used in the analyses was GAMS The Brazilian government estimates that up to 13 million ha of forest concessions could be established within the first 10 years of implementation of the Public Forest Management Law PMFL. The same explanation given for the NPV curves in the last section is valid in explaining why MOCs for community use are larger than MOCs for biodiversity conservation since areas with potential for community use in the case of FSF are located near to roads and rivers and have higher profitability for logging.
Same effect is valid for biodiversity conservation. Figures 2 and 3 show what happens to the number of stands assigned for logging and harvested volume when logging is performed by firms located in the current logging centers Figures 2 a and 3 a and if mills move to closer cities Figures 3 a and 3 b.
In other words, the economic model maximizes the annual profits originated from the annual allowable area for harvest of Equation 1 is then modified and the objective of the program becomes maximizing profits from concessions constrained by a minimum number of stands—or a minimum score—assigned to alternative land uses.
Figures 5 c ed 5 d show the frontier by applying differentiated weights for stands under these alternative uses, respectively, for community use and biodiversity conservation, using as a lel point the same NPV in the UL scenario.
Figures 4 a and 4 b show the share of the profits for loggers and government under this assumption. For simplicity, we assume that the growth and yield of the harvested forest would be sufficient to restore the same merchantable volume in each timber volume class within each stand at the beginning of the second cutting cycle. The experience across other countries shows that this assumption is extremely optimistic as governments have generally captured only a small proportion of the total rents [ 2829 ].
The Brazilian government seeks to manage public forests as a critical component of forest-based sustainable development through implementing a complex balance of multiple and often competing uses [ 3 ]. All scenarios considered in this work assume a planning horizon equal to 40 years, which is the length of the contracts that have currently been established between the Brazilian Forest Services and concessionaires. Figures 6 c and 6 dotherwise, show the same curves considering the scenario with differentiated weights among stands with potential for community use and biodiversity conservation.
Table of Contents Alerts. Three maps of profitability of logging were generated for the three timber value classes considered: Further research should include forest dynamics to better incorporate the long-term growth and yield of the harvested forests.