CLASSIFICATION OF FOREST ROADS AND DETERMINATION OF ROUTE USING GEOGRAPHIC INFORMATION SYSTEM

ABSTRACT Geographic Information System (GIS) is an indispensable software tool in forest planning. In forestry transportation, GIS can manage the data on the road network and solve some problems in transportation, such as route planning. Therefore, the aim of this study was to determine the pattern of the road network and define transport routes using GIS technology. The present research was conducted in a forestry company in the state of Minas Gerais, Brazil. The criteria used to classify the pattern of forest roads were horizontal and vertical geometry, and pavement type. In order to determine transport routes, a data Analysis Model Network was created in ArcGIS using an Extension Network Analyst, allowing finding a route shorter in distance and faster. The results showed a predominance of horizontal geometry classes average (3) and bad (4), indicating presence of winding roads. In the case of vertical geometry criterion, the class of highly mountainous relief (4) possessed the greatest extent of roads. Regarding the type of pavement, the occurrence of secondary coating was higher (75%), followed by primary coating (20%) and asphalt pavement (5%). The best route was the one that allowed the transport vehicle travel in a higher specific speed as a function of road pattern found in the study.

Forest Policy Scenario Analysis: Sensitivity of Songbird Community to Changes in Forest Cover Amount and Configuration

Changes in mature forest cover amount, composition, and configuration can be of significant consequence to wildlife populations. The response of wildlife to forest patterns is of concern to forest managers because it lies at the heart of such competing approaches to forest planning as aggregated vs. dispersed harvest block layouts. In this study, we developed a species assessment framework to evaluate the outcomes of forest management scenarios on biodiversity conservation objectives. Scenarios were assessed in the context of a broad range of forest structures and patterns that would be expected to occur under natural disturbance and succession processes. Spatial habitat models were used to predict the effects of varying degrees of mature forest cover amount, composition, and configuration on habitat occupancy for a set of 13 focal songbird species. We used a spatially explicit harvest scheduling program to model forest management options and simulate future forest conditions resulting from alternative forest management scenarios, and used a process-based fire-simulation model to simulate future forest conditions resulting from natural wildfire disturbance. Spatial pattern signatures were derived for both habitat occupancy and forest conditions, and these were placed in the context of the simulated range of natural variation. Strategic policy analyses were set in the context of current Ontario forest management policies. This included use of sequential time-restricted harvest blocks (created for Woodland caribou (Rangifer tarandus) conservation) and delayed harvest areas (created for American marten (Martes americana atrata) conservation). This approach increased the realism of the analysis, but reduced the generality of interpretations. We found that forest management options that create linear strips of old forest deviate the most from simulated natural patterns, and had the greatest negative effects on habitat occupancy, whereas policy options that specify deferment and timing of harvest for large blocks helped ensure the stable presence of an intact mature forest matrix over time. The management scenario that focused on maintaining compositional targets best supported biodiversity objectives by providing the composition patterns required by the 13 focal species, but this scenario may be improved by adding some broad-scale spatial objectives to better maintain large blocks of interior forest habitat through time.

Forest connectivity restoration through reforestation: an integrated methodology for prioritizing agricultural lands and selecting reforestation species

Forest connectivity restoration is a major goal in natural resource planning. Given the high amount of abandoned cultivated lands, setting efficient methods for the reforestation of agricultural lands offers a good opportunity to face this issue. However, reforestations must be carefully planned, which poses two main challenges. In first place, to determine those agricultural lands that, once reforested, would meet more effectively the planning goals. As a further step, in order to grant the success of the activity, it is fairly advisable to select those tree species that are more adapted to each particular environment. Here we intend to give response to both requirements by proposing a sequential and integrated methodology that has been implemented in two Spanish forest districts, which are formed by several landscape types that were previously defined and characterized. Using the software Conefor Sensinode, a powerful tool for quantifying habitat availability that is based on graph theory concepts, we determined the landscapes where forest planning should have connectivity as a major concern and, afterwards, we detected the agricultural patches that would contribute most to enhance connectivity if they were reforested. The subsequent reforestation species assessment was performed within these priority patches. Using penalized logistic regressions we fitted ecological niche models for the Spanish native tree species. The models were trained with species distribution data from the Spanish Forest Map and used climatic and lithological variables as predictors. Model predictions were used to build ordered lists of suitable species for each priority patch. The lists include dominant and non dominant tree species and allow adding biodiversity goals to the reforestation planning. The result of this combined methodology is a map of agricultural patches that would contribute most to uphold forest connectivity if they were reforested and a list of suitable tree species for each patch ordered by occurrence probability. Therefore the proposed methodology may be useful for suitable and efficient forest planning and landscape designing.

Modelling Pinus pinea forest management to attain natural regeneration under present and future climatic scenarios

Natural regeneration-based silviculture has been increasingly regarded as a reliable option in sustainable forest management. However, successful natural regeneration is not always easy to achieve. Recently, new concerns have arisen because of changing future climate. To date, regeneration models have proved helpful in decision-making concerning natural regeneration. The implementation of such models into optimization routines is a promising approach in providing forest managers with accurate tools for forest planning. In the present study, we present a stochastic multistage regeneration model for Pinus pinea L. managed woodlands in Central Spain, where regeneration has been historically unsuccessful. The model is able to quantify recruitment under different silviculture alternatives and varying climatic scenarios, with further application to optimize management scheduling. The regeneration process in the species showed high between-year variation, with all subprocesses (seed production, dispersal, germination, predation, and seedling survival) having the potential to become bottlenecks. However, model simulations demonstrate that current intensive management is responsible for regeneration failure in the long term. Specifically, stand densities at rotation age are too low to guarantee adequate dispersal, the optimal density of seed-producing trees being around 150 stems·ha−1. In addition, rotation length needs to be extended up to 120 years to benefit from the higher seed production of older trees. Stochastic optimization confirms these results. Regeneration does not appear to worsen under climate change conditions; the species exhibiting resilience worthy of broader consideration in Mediterranean silviculture.

Forest logging and institutional thresholds in developing south-east Asian economies: A conceptual model

Many developing south-east Asian governments are not capturing full rent from domestic forest logging operations. Such rent losses are commonly related to institutional failures, where informal institutions tend to dominate the control of forestry activity in spite of weakly enforced regulations. Our model is an attempt to add a new dimension to thinking about deforestation. We present a simple conceptual model, based on individual decisions rather than social or forest planning, which includes the human dynamics of participation in informal activity and the relatively slower ecological dynamics of changes in forest resources. We demonstrate how incumbent informal logging operations can be persistent, and that any spending aimed at replacing the informal institutions can only be successful if it pushes institutional settings past some threshold. (C) 2006 Elsevier B.V. All rights reserved.

An estimate of biometric parameters in eucalyptus clone plantations in Southern Bahia: an application of the airborne laser scanning (ALS) technology

The application of airborne laser scanning (ALS) technologies in forest inventories has shown great potential to improve the efficiency of forest planning activities. Precise estimates, fast assessment and relatively low complexity can explain the good results in terms of efficiency. The evolution of GPS and inertial measurement technologies, as well as the observed lower assessment costs when these technologies are applied to large scale studies, can explain the increasing dissemination of ALS technologies. The observed good quality of results can be expressed by estimates of volumes and basal area with estimated error below the level of 8.4%, depending on the size of sampled area, the quantity of laser pulses per square meter and the number of control plots. This paper analyzes the potential of an ALS assessment to produce certain forest inventory statistics in plantations of cloned Eucalyptus spp with precision equal of superior to conventional methods. The statistics of interest in this case were: volume, basal area, mean height and dominant trees mean height. The ALS flight for data assessment covered two strips of approximately 2 by 20 Km, in which clouds of points were sampled in circular plots with a radius of 13 m. Plots were sampled in different parts of the strips to cover different stand ages. The clouds of points generated by the ALS assessment: overall height mean, standard error, five percentiles (height under which we can find 10%, 30%, 50%,70% and 90% of the ALS points above ground level in the cloud), and density of points above ground level in each percentile were calculated. The ALS statistics were used in regression models to estimate mean diameter, mean height, mean height of dominant trees, basal area and volume. Conventional forest inventory sample plots provided real data. For volume, an exploratory assessment involving different combinations of ALS statistics allowed for the definition of the most promising relationships and fitting tests based on well known forest biometric models. The models based on ALS statistics that produced the best results involved: the 30% percentile to estimate mean diameter (R(2)=0,88 and MQE%=0,0004); the 10% and 90% percentiles to estimate mean height (R(2)=0,94 and MQE%=0,0003); the 90% percentile to estimate dominant height (R(2)=0,96 and MQE%=0,0003); the 10% percentile and mean height of ALS points to estimate basal area (R(2)=0,92 and MQE%=0,0016); and, to estimate volume, age and the 30% and 90% percentiles (R(2)=0,95 MQE%=0,002). Among the tested forest biometric models, the best fits were provided by the modified Schumacher using age and the 90% percentile, modified Clutter using age, mean height of ALS points and the 70% percentile, and modified Buckman using age, mean height of ALS points and the 10% percentile.

Optimized harvest scheduling in eucalyptus plantations under operational, spatial and climatic constraints

The representation of sustainability concerns in industrial forests management plans, in relation to environmental, social and economic aspects, involve a great amount of details when analyzing and understanding the interaction among these aspects to reduce possible future impacts. At the tactical and operational planning levels, methods based on generic assumptions usually provide non-realistic solutions, impairing the decision making process. This study is aimed at improving current operational harvesting planning techniques, through the development of a mixed integer goal programming model. This allows the evaluation of different scenarios, subject to environmental and supply constraints, increase of operational capacity, and the spatial consequences of dispatching harvest crews to certain distances over the evaluation period. As a result, a set of performance indicators was selected to evaluate all optimal solutions provided to different possible scenarios and combinations of these scenarios, and to compare these outcomes with the real results observed by the mill in the study case area. Results showed that it is possible to elaborate a linear programming model that adequately represents harvesting limitations, production aspects and environmental and supply constraints. The comparison involving the evaluated scenarios and the real observed results showed the advantage of using more holistic approaches and that it is possible to improve the quality of the planning recommendations using linear programming techniques.

Avaluació de l'aprofitament de biomassa disponible per a la producció d'energia calorífica al Parc Natural de l'Alt Pirineu

En aquest article es resumeixen els resultats més destacats del projecte dut a terme pel grup Projecte Biomassa. Aquest estudi té per objectiu l’avaluació de la viabilitat energètica, econòmica i ambiental de l’aprofitament de la biomassa forestal com a recurs energètic a les forests d’Arestui, Baiasca, Montenartró i Virós situades dins el Parc Natural de l’Alt Pirineu (PNAP). En el projecte s’ha fet una revisió dels Plans d’Ordenació Forestal (POF’s) de les esmentades forests per tal d’adequar-les als requeriments del PNAP i així obtenir resultats sobre el potencial de biomassa sosteniblement extraïble, sobre el seu potencial energètic i plantejar un escenari d’aprofitament a mode de cas pràctic. A més a més, s’han realitzat també un balanç socioeconòmic, un balanç d’emissions de CO2 i una avaluació d’impacte ambiental per tal de determinar la viabilitat de l’ús de biomassa al PNAP com a recurs energètic. Com a resultat final s’ha obtingut que el procés d’aprofitament de la biomassa per a la producció d’energia calorífica esdevé una opció de futur viable i positiva ja que la implantació del nou procés comporta beneficis a nivell social, econòmic i ambiental.

Valoración social de las propiedades estéticas de los hayedos en Cataluña

Se aplican métodos ensayados en otros países (Scenic Beauty Estimation Method, SBE) para la determinación de las cualidades estéticas de masas forestales de interés recreativo a parcelas en diversas localizaciones del haya en Cataluña, abarcando diferencias significativas en estación, origen, edad y forma de masa. Las valoraciones se refieren a las cualidades estéticas de los rodales de haya vistos desde el interior del bosque, es decir, tal como son apreciados por parte de los visitantes de los montes. Las valoraciones se obtienen a través de paneles de observadores en sesiones fotográficas, se transforman a una escala común y se relacionan mediante análisis de regresión a las variables dasométricas tomadas en las parcelas de inventario. El desarrollo de modelos estadísticos que describen preferencias sociales permite medir la aportación de las diferentes variables dasométricas a la mejora estética de las masas de haya, y puede servir como guía en la ordenación de hayedos en que el uso público sea predominante o muy importante.

Metsäpalveluyritysten menestyminen ja siihen vaikuttavat tekijät

Tutkimuksessa kartoitettiin metsäpalveluyritysten toimintaympäristöä sekä menestymistä ja siihen vaikuttavia tekijöitä. Tutkimusta varten haastateltiin 27 metsäpalveluyrittäjää kesäkuussa 1999. Heikommin menestyneiden ja Menestyneimpien metsäpalveluyritysten löytämiseksi luotiin kaksi menestyspistejärjestelmää: KASKARA (KASvu, KAnnattavuus & RAhoitus) -mittaristo ja Tasapainotettu (Balanced Scorecard) mittaristo. KASKARA-mittaristossa tarkastelun kohteena olivat yrityksen kasvu (yrityksen liikevaihdon kasvuprosentti ja investoinnit) ja kannattavuus sekä rahoituksellinen tila (maksuvalmius ja vakavaraisuus) yrittäjän itsensä arvioimana. Toisaalta käytettäessä Tasapainotettua mittaristoa KASKARA-mittaristoon liitettiin vielä neljä muuttujaa: yrityksen tärkeimmän asiakkaan antama palaute yrittäjälle, yrittäjän hankkima täydennyskoulutus, kovien kilpailijoiden lukumäärä yrityksen nykyisellä toiminta-alueella ja yrittäjän oma arvio yrityksensä paremmuudesta kilpailijoihin nähden. Tutkimuksen Menestyneimpiä yrityksiä voitiin kuvata seuraavasti: yrittäjä kertoi olleensa luottavainen yritystä perustaessaan; yhtenä tärkeimmistä motiiveista yrityksensä perustamiseen yrittäjä piti pyrkimystä ansiotulojen kasvattamiseen; hieman alle puolet yrityksistä oli hakkuuseen painottuneita yrityksiä - muut päätoimialat olivat puukauppa, metsätalouden suunnittelupalvelut sekä mittauspalvelut; yrittäjän lisäksi yritykseen on palkattu keskimäärin kaksi vakinaista työntekijää; yrityksen kirjanpidosta huolehtii joku muu (useimmiten tilitoimisto) kuin yrittäjä; yrityksen kaluston määrä on kasvanut yrityksen perustamisvuodesta, mutta yrityksen asiakaskunta on pysynyt lähes samana; yrityksen tärkeimmän asiakkaan osuus yrityksen liikevaihdosta on 90%; tulevaisuudessa yrittäjä haluaa ylläpitää nykyisiä asiakassuhteita; ja kartoitettaessa yrittäjän halukkuutta ryhtyä uudelleen yrittäjäksi saamien kokemustensa pohjalta valtaosin yrittäjät sanoivat varmasti ryhtyvänsä uudelleen metsäpalveluyrittäjäksi. Vastaavasti Heikommin menestyneitä yrityksiä ja niiden toimintaa voitiin luonnehtia seuraavien tekijöiden avulla: yrittäjä oli ollut iältään yli 40-vuotias, kun hän oli perustanut metsäpalveluyrityksensä; yrittäjä oli toiminut maanviljelijänä ennen metsäpalveluyrittäjäuraansa; lähes puolet yrittäjistä olivat olleet melko epävarmoja yritystä käynnistäessään; yrityksen päätoimiala on useimmiten hakkuu; yrityksessä ei ole yrittäjän lisäksi palkattua, vakinaista henkilöstöä; yrityksen toiminta-alueen säde on alle 40 kilometriä; valtaosin yrittäjät hoitavat itse yrityksensä kirjanpidon; yrityksen kaluston määrä ei ole kasvanut yrityksen perustamisvuodesta; yrityksellä on nykyisin alle viisi asiakasta; tärkeimmän asiakkaan osuus yrityksen liikevaihdosta on noin 60%; tulevaisuudessa yrittäjä suunnittelee hankkivansa uusia asiakkaita nykyisten asiakassuhteiden ylläpidon lisäksi; ja jos yrittäjä saisi tehdä uudelleen yrityksensä perustamispäätöksen, runsas kaksi kolmasosaa yrittäjistä kertoi harkitsevansa tarkkaan perustamispäätöstä, mutta perustavansa uudelleen metsäpalveluyrityksen.

Paikkaan sidottujen sosiaalisten arvojen käyttö metsäsuunnittelussa : tapaustutkimus UPM-Kymmenen metsissä Hyrynsalmella

Seloste artikkelista: Kangas, A., Haapakoski, R. & Tyrväinen, L. 2008. Integrating place-specific social values into forest planning - Case of UPM-Kymmene forests in Hyrynsalmi. Silva Fennica 42 (5) : 773-790.

Métodos de análisis de las comunidades de clientes mediante la relación estratégica comunitaria y el marketing.

En este proyecto analizaremos como las organizaciones se relacionan con el medio y marketing. La idea es determinar cuáles son los métodos de análisis de las comunidades de clientes mediante la relación estratégica comunitaria y el marketing. Por medio del mercadeo se puede conocer el entorno y determinar qué métodos de análisis utilizar para conocer a la comunidad de clientes. Las personas de mercadeo se ocupan de todo lo que ocurre en el entorno, de estar al tanto para saber cuándo hay oportunidades que puedan ser provechosas para la organización o por otro lado cuando hay amenazas de las que debe tener cuidado. Dependiendo del entorno, la organización diseña sus actividades de mercadeo enfocadas en satisfacer las necesidades del consumidor. Las actividades del consumidor se conceptualizan en producto, precio, promoción y plaza que se definen y diseñan basados en la comunidad en la que este inmersa la organización. Es importante buscar información confiable sobre el grupo objetivo al cual se le va ofrecer el producto o servicio, ya que toca analizarlos y comprender a estas personas para diseñar una buena oferta que satisfaga sus necesidades y deseos. Esta persona que recibe el producto o servicio por parte de la organización es el cliente. Los clientes son las personas que llegan a una organización en búsqueda de satisfacer necesidades a través de los bienes y servicios que las empresas ofrecen. Es esencial determinar que los clientes viven en comunidad, es decir comparten ideas por la comunicación tan estrecha que tienen y viven en conjunto bajo las mismas costumbres. Debido a estos es que hoy en día, los consumidores se conglomeran en comunidades de clientes, y para saberles llegar a estos clientes, toca analizarlos por medio de diversos métodos. El uso de las estrategias comunitarias es necesario ya que por medio del marketing se analiza el entorno y se buscan los métodos para analizar a la comunidad de clientes, que comparten características y se analizan en conjunto no por individuo. Es necesario identificar los métodos para relacionarse con la comunidad de clientes, para poder acercarnos a estos y conocerlos bien, saber sus necesidades y deseos y ofrecerles productos y servicios de acuerdo a éstos. En la actualidad estos métodos no son muy comunes ni conocidos, es por esto que nuestro propósito es indagar e identificar estos métodos para saber analizar a las comunidades. En este proyecto se utilizara una metodología de estudio tipo teórico-conceptual buscando las fuentes de información necesarias para llevar a cabo nuestra investigación. Se considera trabajar con El Grupo de Investigación en Perdurabilidad Empresarial y se escogió la línea de gerencia ya que permite entrar en la sociedad del conocimiento, siendo capaces de identificar oportunidades gerenciales en el entorno. Es interesante investigar sobre estos métodos, ya que los clientes esperan un servicio excelente, atento y que se preocupe por ellos y sus necesidades.

Estimación de variables dasométricas a partir de datos LiDAR y obtención de modelos de referencia para las distribuciones de alturas y diámetros del arbolado

La Gestión Forestal Sostenible se define como “la administración y uso de los bosques y tierras forestales de forma e intensidad tales que mantengan su biodiversidad, productividad, capacidad de regeneración, vitalidad y su potencial para atender, ahora y en el futuro, las funciones ecológicas, económicas y sociales relevantes a escala local, nacional y global, y que no causan daño a otros ecosistemas” (MCPFE Conference, 1993). Dentro del proceso los procesos de planificación, en cualquier escala, es necesario establecer cuál será la situación a la que se quiere llegar mediante la gestión. Igualmente, será necesario conocer la situación actual, pues marcará la situación de partida y condicionará el tipo de actuaciones a realizar para alcanzar los objetivos fijados. Dado que, los Proyectos de Ordenación de Montes y sus respectivas revisiones son herramientas de planificación, durante la redacción de los mismos, será necesario establecer una serie de objetivos cuya consecución pueda verificarse de forma objetiva y disponer de una caracterización de la masa forestal que permita conocer la situación de partida. Esta tesis se centra en problemas prácticos, propios de una escala de planificación local o de Proyecto de Ordenación de Montes. El primer objetivo de la tesis es determinar distribuciones diamétricas y de alturas de referencia para masas regulares por bosquetes, empleando para ello el modelo conceptual propuesto por García-Abril et al., (1999) y datos procedentes de las Tablas de producción de Rojo y Montero (1996). Las distribuciones de referencia obtenidas permitirán guiar la gestión de masas irregulares y regulares por bosquetes. Ambos tipos de masas aparecen como una alternativa deseable en aquellos casos en los que se quiere potenciar la biodiversidad, la estabilidad, la multifuncionalidad del bosque y/o como alternativa productiva, especialmente indicada para la producción de madera de calidad. El segundo objetivo de la Tesis está relacionado con la necesidad de disponer de una caracterización adecuada de la masa forestal durante la redacción de los Proyectos de Ordenación de Montes y de sus respectivas revisiones. Con el fin de obtener estimaciones de variables forestales en distintas unidades territoriales de potencial interés para la Ordenación de Montes, así como medidas de la incertidumbre en asociada dichas estimaciones, se extienden ciertos resultados de la literatura de Estimación en Áreas Pequeñas. Mediante un caso de estudio, se demuestra el potencial de aplicación de estas técnicas en inventario forestales asistidos con información auxiliar procedente de sensores láser aerotransportados (ALS). Los casos de estudio se realizan empleando datos ALS similares a los recopilados en el marco del Plan Nacional de Ortofotografía Aérea (PNOA). Los resultados obtenidos muestran que es posible aumentar la eficiencia de los inventarios forestales tradicionales a escala de proyecto de Ordenación de Montes, mediante la aplicación de estimadores EBLUP (Empirical Best Linear Unbiased Predictor) con modelos a nivel de elemento poblacional e información auxiliar ALS similar a la recopilada por el PNOA. ABSTRACT According to MCPFE (1993) Sustainable Forest Management is “the stewardship and use of forests and forest lands in a way, and at a rate, that maintains their biodiversity, productivity, regeneration capacity, vitality and their potential to fulfill, now and in the future, relevant ecological, economic and social functions, at local, national, and global levels, and that does not cause damage to other ecosystems”. For forest management planning, at any scale, we must determine what situation is hoped to be achieved through management. It is also necessary to know the current situation, as this will mark the starting point and condition the type of actions to be performed in order to meet the desired objectives. Forest management at a local scale is no exception. This Thesis focuses on typical problems of forest management planning at a local scale. The first objective of this Thesis is to determine management objectives for group shelterwood management systems in terms of tree height and tree diameter reference distributions. For this purpose, the conceptual model proposed by García-Abril et al., (1999) is applied to the yield tables for Pinus sylvestris in Sierra de Guadrrama (Rojo y Montero, 1996). The resulting reference distributions will act as a guide in the management of forests treated under the group shelterwood management systems or as an approximated reference for the management of uneven aged forests. Both types of management systems are desirable in those cases where forest biodiversity, stability and multifunctionality are pursued goals. These management systems are also recommended as alternatives for the production of high quality wood. The second objective focuses on the need to adequately characterize the forest during the decision process that leads to local management. In order to obtain estimates of forest variables for different management units of potential interest for forest planning, as well as the associated measures of uncertainty in these estimates, certain results from Small Area Estimation Literature are extended to accommodate for the need of estimates and reliability measures in very small subpopulations containing a reduced number of pixels. A case study shows the potential of Small Area Estimation (SAE) techniques in forest inventories assisted with remotely sensed auxiliary information. The influence of the laser pulse density in the quality of estimates in different aggregation levels is analyzed. This study considers low laser pulse densities (0.5 returns/m2) similar to, those provided by large-scale Airborne Laser Scanner (ALS) surveys, such as the one conducted by the Spanish National Geographic Institute for about 80% of the Spanish territory. The results obtained show that it is possible to improve the efficiency of traditional forest inventories at local scale using EBLUP (Empirical Best Linear Unbiased Predictor) estimators based on unit level models and low density ALS auxiliary information.