scholarly journals Timber Volume Estimation Model for Merchantable Tree Species in Sarmi Regency, Papua

Jurnal Wasian ◽  
2016 ◽  
Vol 3 (2) ◽  
pp. 91
Author(s):  
Relawan Kuswandi
Keyword(s):  
Forest Management ◽  
Forest Inventory ◽  
Standing Stock ◽  
Volume Estimation ◽  
Coefficient Of Determination ◽  
Estimation Model ◽  
Timber Volume ◽  
Management Planning ◽  
Forest Management Planning ◽  
Validation Test

Precise forest inventory to estimate standing stock is needed in forest management planning.  Therefore, it is necessary to have proper and reliable tools in estimating merchantable timber volume. This research was intended to build an accurate model to estimate timber volume for  merchantable species in logging concession of PT Wapoga Mutiara Timber, Sarmi Regency.  Regression equation between diameter and length did not have a significant correlation (coefficient of determination, R2 = 6.7 %). The best equation to estimate table tree volume based on validation test in logging concession of PT Wapoga Mutiara Timber was Log V = - 3.34 + 2.16 log d.     

scholarly journals Timber volume estimation based on airborne laser scanning — comparing the use of national forest inventory and forest management inventory data

2021 ◽  
Vol 78 (2) ◽  
Author(s):  
Johannes Rahlf ◽  
Marius Hauglin ◽  
Rasmus Astrup ◽  
Johannes Breidenbach
Keyword(s):  
Forest Management ◽  
Forest Inventory ◽  
Laser Scanning ◽  
National Forest Inventory ◽  
Airborne Laser Scanning ◽  
Volume Estimation ◽  
National Forest ◽  
Forest Resource ◽  
Timber Volume ◽  
Airborne Laser

Abstract Key message Large-scale forest resource maps based on national forest inventory (NFI) data and airborne laser scanning may facilitate synergies between NFIs and forest management inventories (FMIs). A comparison of models used in such a NFI-based map and a FMI indicate that NFI-based maps can directly be used in FMIs to estimate timber volume of mature spruce forests. Context Traditionally, FMIs and NFIs have been separate activities. The increasing availability of detailed NFI-based forest resource maps provides the possibility to eliminate or reduce the need of field sample plot measurements in FMIs if their accuracy is similar. Aims We aim to (1) compare a timber volume model used in a NFI-based map and models used in a FMI, and (2) evaluate utilizing additional local sample plots in the model of the NFI-based map. Methods Accuracies of timber volume estimates using models from an existing NFI-based map and a FMI were compared at plot and stand level. Results Estimates from the NFI-based map were similar to or more accurate than the FMI. The addition of local plots to the modeling data did not clearly improve the model of the NFI-based map. Conclusion The comparison indicates that NFI-based maps can directly be used in FMIs for timber volume estimation in mature spruce stands, leading to potentially large cost savings.

scholarly journals On the concept of modern forest management in Russia

2017 ◽  
Author(s):  
Н.А. Моисеев
Keyword(s):  
Forest Management ◽  
Strategic Planning ◽  
Russian Federation ◽  
Forest Inventory ◽  
Sustainable Forest Management ◽  
Federal Law ◽  
Management Planning ◽  
Forest Management Planning ◽  
The Russian Federation ◽  
The Government

В статье рассматриваются основные положения лесоустройства с учетом истории его развития в России и в отдельных странах мира, в том числе в Германии, где оно первоначально зародилось. Особое внимание уделяется его функциональному назначению, содержанию, методологии стратегического планирования в рамках лесоустройства и его связи с принятым в 2014 г. Правительством РФ Федеральным законом № 172 «О стратегическом планировании в Российской Федерации». Известно, что последним Лесным кодексом РФ (2006) лесоустройство было упразднено, что негативно отразилось не только на лесоуправлении, но и на состоянии лесного сектора экономики. При этом были искажены и основные понятия, утвердившиеся ранее в лесной науке и практике. В связи с изложенным, в статье последовательно рассматриваются: вначале ключевые понятия, лежащие в основе лесоуправления и специфика его, предопределяющая истоки возникновения лесоустройства; двухуровневый характер стратегического лесоустроительного планирования; его методология; другие функции лесоустройства, включая учет лесов, оценку прошлого хозяйства; организацию и расчет непрерывного неистощительного пользования лесом (ННПЛ); экономическое обоснование лесных программ, формирующихся при лесоустройстве на уровнях субъекта РФ и входящих в него лесничеств; механизм их реализации; рекомендации по совершенствованию лесоуправления и контроль за ним. Изложенные концептуальные положения могут быть использованы при разработке новой лесоустроительной инструкции. The article examines the main provisions of forest management consider the history of its development in Russia and in certain countries, including Germany, where it originally arise. Particular attention is paid to its functional purpose, content, methodology of strategic planning within the forest inventory and its relationship with the Federal Law No. 172 «On Strategic Planning in the Russian Federation» adopted in 2014 by the Government of the Russian Federation. It is known that by the last «Forest code of the Russian Federation» (2006) the forest inventory was abolished, which negatively affected not only on the forest management, but also on the state of the forestry sector of the economy. Herewith was distorted and the basic concepts established earlier in forest science and practice. In connection with the foregoing, the article consistently examines: first, the key concepts underlying the forest management and its specificity predetermining the cradle of forest management; two-level nature of strategic forest management planning; Its methodology; other functions of forest management, including forest inventory, assessment of the past forestry; organization and calculation of continuous sustainable forest management (NNPL); the economic substantiation of forest programs formed during forest management at the levels of the subject of the Russian Federation and constituent in it forestries; mechanism for their implementation; recommendations for the improvement of forest management and control over it. The outlined conceptual statements could be used in the development of a new forest management instruction.

Developing and Implementing Multiple-Use Forest Management Planning in Turkey

2008 ◽  
Vol 42 (1) ◽  
pp. 37-48 ◽  
Author(s):  
Emin Zeki Baskent ◽  
Salih Terzioğlu ◽  
Şağdan Başkaya
Keyword(s):  
Forest Management ◽  
Multiple Use ◽  
Management Planning ◽  
Forest Management Planning

scholarly journals Small Area Estimation of Postfire Tree Density Using Continuous Forest Inventory Data

2021 ◽  
Vol 4 ◽  
Author(s):  
George C. Gaines ◽  
David L. R. Affleck
Keyword(s):  
Forest Inventory ◽  
Mean Squared Error ◽  
Tree Density ◽  
Standard Errors ◽  
Sample Sizes ◽  
Management Planning ◽  
Forest Management Planning ◽  
Continuous Forest ◽  
Sample Data ◽  
Regional Forest

Wildfire activity in the western United States is expanding and many western forests are struggling to regenerate postfire. Accurate estimates of forest regeneration following wildfire are critical for postfire forest management planning and monitoring forest dynamics. National or regional forest inventory programs can provide vegetation data for direct spatiotemporal domain estimation of postfire tree density, but samples within domains of administrative utility may be small (or empty). Indirect domain expansion estimators, which borrow extra-domain sample data to increase precision of domain estimates, offer a possible alternative. This research evaluates domain sample sizes and direct estimates in domains spanning large geographic extents and ranging from 1 to 10 years in temporal scope. In aggregate, domain sample sizes prove too small and standard errors of direct estimates too high. We subsequently compare two indirect estimators—one generated by averaging over observations that are proximate in space, the other by averaging over observations that are proximate in time—on the basis of estimated standard error. We also present a new estimator of the mean squared error (MSE) of indirect domain estimators which accounts for covariance between direct and indirect domain estimates. Borrowing sample data from within the geographic extents of our domains, but from an expanded set of measurement years, proves to be the superior strategy for augmenting domain sample sizes to reduce domain standard errors in this application. However, MSE estimates prove too frequently negative and highly variable for operational utility in this context, even when averaged over multiple proximate domains.

scholarly journals GESTÃO FLORESTAL NO MARANHÃO: ESTRUTURA ESTADUAL PÓS-DESCENTRALIZAÇÃO

FLORESTA ◽  
2014 ◽  
Vol 45 (2) ◽  
pp. 433
Author(s):  
José Das Dores De Sá Rocha ◽  
José Arimatéa Silva ◽  
Vitor Afonso Hoeflich ◽  
Francisco Carneiro Barreto Campello
Keyword(s):  
Forest Management ◽  
Public Management ◽  
Current Model ◽  
The State ◽  
Management Policy ◽  
Management Model ◽  
Regional Study ◽  
Management Planning ◽  
Forest Management Planning ◽  
Secondary Sources

As instituições dos estados do Nordeste que assumiram a gestão florestal foram diagnosticadas pelo Ministério do Meio Ambiente em 2009. Decorrente deste estudo regional, o presente trabalho tem como objetivos: i) Caracterizar os instrumentos de política e de gestão florestal no estado do Maranhão; ii) Analisar o atual modelo de gestão florestal estadual. Os dados foram obtidos de fontes secundárias na rede mundial de computadores e através da aplicação de questionários em dois Seminários realizados no próprio estado. Os instrumentos de política e gestão florestal foram classificados segundo suas características legais, econômicas e administrativas afetas ao tema. O modelo de gestão florestal foi analisado com base no modelo de excelência em gestão pública, adaptado para o estudo. As principais conclusões foram: há conflitos legais de competências da gestão florestal no estado, entre a SEMA e a SEAGRO; a SEMA é responsável pela política e pela gestão florestal maranhense; uma Superintendência de Gestão Florestal, ainda não institucionalizada, estava, na prática operando a gestão florestal; planejamento, execução e controle da gestão florestal foram avaliados, de modo geral, em situação insatisfatória, tanto pelo público interno da SEMA quanto pelos seus usuários.Palavras-chave: Modelo de gestão florestal; descentralização; Nordeste do Brasil. AbstractForest management in the State of Maranhão, beyond decentralization. The institutions in the Northeastern states that assumed forest management were diagnosed by the Ministry of Environment in 2009. Due to this regional study, this paper aims to: i) characterize the fundamentals of policy and forest management in the state of Maranhão, ii) analyze the current model of state forest management. Data were obtained from secondary sources on the World Wide Web and through questionnaires in two seminars held within the state. The fundamentals of policy and forest management were characterized on the basis of legal instruments, administrative and economic sympathetic to the issue. The forest management model was analyzed based on the model of excellence in public management, adapted for the study. The main conclusions were: conflicts of legal jurisdiction in the state of forest management, and between SEAGRO and SEMA.SEMA is responsible for forest management policy and Maranhão, a Superintendent of Forest Management, not yet institutionalized, was in practice the operating forest management, planning, execution and control of forest management were evaluated, in general, an unsatisfactory situation, both the public and internal SEMA by its users.Keywords: Forest Management model; decentralization; Northeast of Brazil.

Combining ALS and NFI training data for forest management planning: a case study in Kuortane, Western Finland

2009 ◽  
Vol 128 (3) ◽  
pp. 305-317 ◽  
Author(s):  
M. Maltamo ◽  
P. Packalén ◽  
A. Suvanto ◽  
K. T. Korhonen ◽  
L. Mehtätalo ◽  
...  
Keyword(s):  
Forest Management ◽  
Training Data ◽  
Management Planning ◽  
Forest Management Planning
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