Ponderosa Pine Mortality Following Two Prescribed Fires In Boulder Colorado PDF Download

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Postfire Mortality of Ponderosa Pine and Douglas-fir

Postfire Mortality of Ponderosa Pine and Douglas-fir
Author: James F. Fowler
Publisher:
Total Pages: 32
Release: 2004
Genre: Douglas fir
ISBN:

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This review focused on the primary literature that described, modeled, or predicted the probability of postfire mortality in ponderosa pine (Pinus ponderosa) and Douglas-fir (Pseudotsuga menziesii). The methods and measurements that were used to predict postfire tree death tended to fall into two general categories: those focusing on measuring important aspects of fire behavior, the indirect but ultimate cause of mortality; and those focusing on tissue damage due to fire, the direct effect of fire on plant organs. Of the methods reviewed in this paper, crown scorch volume was the most effective, easiest to use, and most popular measurement in predicting postfire mortality in both conifer species. In addition to this direct measure of foliage damage, several studies showed the importance and utility of adding a measurement of stem (bole) damage. There is no clear method of choice for this, but direct assessment of cambium condition near the tree base is widely used in Douglas-fir. Only two ponderosa pine studies directly measured fine root biomass changes due to fire, but they did not use these measurements to predict postfire mortality. Indirect measures of fire behavior such as ground char classes may be the most practical choice for measuring root damage. This review did not find clear postfire survivability differences between the two species. The literature also does not show a consistent use of terminology; we propose a standard set of terms and their definitions.


The Effect of Prescribed Fire on Sugar Pine Mortality in Sequoia and Kings Canyon National Parks

The Effect of Prescribed Fire on Sugar Pine Mortality in Sequoia and Kings Canyon National Parks
Author: Jonny CB. Nesmith
Publisher:
Total Pages: 174
Release: 2011
Genre:
ISBN:

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Fire is one of the main agents controlling composition, structure, and function of mixed conifer forests in the Sierra Nevada, CA. Over the past century, there has been a dramatic shift in the role of fire in these forests as fire regimes shifted from low intensity, frequent fires prior to European settlement in the region, to extended periods of fire exclusion due to a policy of active fire suppression. This led to many unintended consequences such as increased stand density, shifts in species composition towards more shade tolerant species such as white fir, and an increase in fire severity and extent when fires do occur due to increased fuels and changing climate. In the past several decades, prescribed fire has become one of the most important tools for forest restoration and management, yet its effects are still not fully understood. This uncertainty is especially true for sugar pine, a species that is being affected not only by changing forest conditions, but also by the introduced pathogen white pine blister rust. These multiple factors, and potential interactions among them, have led to population declines of sugar pine in some areas and have raised concerns about potential mortality during prescribed fire. The goal of this research was to better understand what processes were most important in controlling post-fire mortality of sugar pine, use this information to produce more accurate predictive models of post-fire mortality, and to evaluate simple management actions that could ameliorate the risk of mortality following fire. The first chapter serves as an introduction to the mixed conifer ecosystem and sugar pine in particular. It discusses the main factors that control mortality following prescribed fire and highlights some of the main findings of this research. In the second chapter, structural equation modeling (SEM) was used to assess the direct and indirect effects of multiple variables related to tree health, beetle activity, blister rust, and fire effects and their relative importance in controlling sugar pine mortality following prescribed fire in Sequoia and Kings Canyon National Parks. Multiple factors are known to influence mortality following fire including fuel loads, fire intensity, beetle activity, and tree size, yet little is known about how these factors interact to control post-fire mortality. A total of 436 sugar pine were measured within three separate prescribed fires in Sequoia and Kings Canyon National Parks. SEM was used to evaluate a network of causal relationships between factors that affect post-fire mortality of sugar pine and to assess both direct and indirect effects. Several factors were found to significantly influence post-fire mortality, with crown volume scorch, diameter at breast height (dbh), and post-fire beetle activity showing the strongest effects; though the magnitude of these effects differed among sites. Other factors such as blister rust infection and pre-fire beetle activity had little impact on post-fire mortality. A causal model was developed that considered both indirect and direct effects of multiple factors associated with post-fire mortality while demonstrating the variability in the relative strength of these causal relationships based on specific attributes. This model can be used in forest management to provide a clear understanding of how fire effects interrelate with multiple processes to control post fire sugar pine mortality. The third chapter examined whether the inclusion of pre-fire tree health (based on tree ring records) in models looking at post-fire sugar pine mortality improved model fit over models based on measures of fire effects alone. This study was conducted within an old-growth mixed-conifer forest in Sequoia National Park that had been prescribed burned during 2001 or 2002. Fire effects measured by percent crown volume scorched and stem char height, and pre-fire tree health measured by multiple indices of growth calculated from tree cores and measures of crown health were assessed for 105 sugar pine. Health status (live or dead) was observed prior to the fire, immediately post-fire and five years post-fire. Logistic regression models were used to evaluate the effects of fire and pre-fire tree health on post-fire mortality. Models based only on tree size and fire effects were compared to models that included fire effects and measures of pre-fire tree health using AICc. Five years following fire, the model that best predicted mortality included dbh, crown volume scorch, 30 year growth trend, and count of sharp declines over a 30 year period. The inclusion of long-term measures of growth markedly improved model fit compared to models based only on fire effects ([Delta]AICc = 26.4). However, immediately after fire, models that included measures of pre-fire tree health resulted in only marginal improvements over models based only on measures of fire effects ([Delta]AICc = 2.1). These results imply that multiple processes, in addition to fire, are functioning to influence delayed mortality and that the inclusion of measures of tree health can provide more accurate predictions of post-fire mortality. Finally, chapter four tests whether raking away duff and litter from the base of the stem can be used as an effective means of reducing sugar pine mortality following prescribed fire. This study was conducted in three prescribed fires in Sequoia and Kings Canyon National Parks and included 457 trees, half of which were raked to mineral soil to 0.5 m away from the stem. Fire effects were assessed and tree mortality was followed for three years after prescribed fires. Overall, raking had no detectable effect on mortality as raked trees averaged 30 % mortality compared to 36 % for unraked trees. There was a significant interaction, however, between raking and average pre-treatment forest floor fuel depth: The predicted probability of survival of a 50 cm dbh tree was 0.94 vs. 0.96 when average pre-treatment fuel depth was 0 cm for a raked and unraked tree, respectively. When average pre-treatment forest floor fuel depth was 30 cm, the predicted probability of survival for a raked 50 cm tree was 0.60 compared to only 0.07 for an unraked tree. Raking did not affect mortality when fire intensity, measured as percent crown volume scorched, was very low (0 % scorch) or very high (>80 % scorch), but the raking treatment significantly increased the proportion of trees that survived by 9.6 % for trees that burned under moderate fire intensity (1 % to 80 % scorch). Raking significantly reduced the likelihood of bole charring and bark beetle activity three years post-fire. This implies that raking can be an effective management tool to reduce tree mortality following prescribed fire under specific fuel and burning conditions.


A Field Guide to Predict Delayed Mortality of Fire-damaged Ponderosa Pine

A Field Guide to Predict Delayed Mortality of Fire-damaged Ponderosa Pine
Author:
Publisher:
Total Pages: 16
Release: 2008
Genre: Ponderosa pine
ISBN:

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The Malheur model for fire-caused delayed mortality is presented as an easily interpreted graph (mortality-probability calculator) as part of a one-page field guide that allows the user to determine postfire probability of mortality for ponderosa pine (Pinus ponderosa Dougl. ex Laws.). Following both prescribed burns and wildfires, managers need the ability to predict the mortality of individual ponderosa pine trees based on burn damage. The model was developed from fire-caused delayed mortality observed for 4 years postburn in a replicated study of 12 burn units and 6 nonburned units near Burns, Oregon. During the fourth year, the percentage of mortality on burned units was not statistically different from that on nonburned units. Here we report validation data from 3,237 ponderosa pines in 10 additional burns, observed for 3 years postburn, from the southern Blue Mountains and northern California that indicate a good fit between mortality predicted by the Malheur model and observed mortality. Tear-out copies of the field guide on water proof paper are provided.


Fall Rates of Prescribed Fire-Killed Ponderosa Pine (Classic Reprint)

Fall Rates of Prescribed Fire-Killed Ponderosa Pine (Classic Reprint)
Author: Michael G. Harrington
Publisher: Forgotten Books
Total Pages: 20
Release: 2017-11-10
Genre: Business & Economics
ISBN: 9780260737878

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Excerpt from Fall Rates of Prescribed Fire-Killed Ponderosa Pine Cumulative tree fall percentages were calculated by dividing the total number of trees that had fallen up to the end of a particular year by the number of dead trees. Not only did tree fall numbers increase over the 10-year study, but the number of dead trees also increased. This represented an increasing pool from which trees could fall. Annual fall rates were calculated by dividing the number of trees that came down in a year by the number of standing dead trees at the beginning of that year. For each year, the number of trees that could possibly fall (standing dead) was reduced by the num ber that previously fell and was increased by the number that recently died. Average annual fall rates for a particular seasonal treatment, scorch class, or size class were calculated by averaging annual tree fall rates over the length of the study. In the figures, mortality rates are shown along a time scale that is Year After Fire, whereas the cumulative tree fall percentages are shown along a more appropriate time scale, Year After Death. Be cause trees fell as a consequence of mortality, the Year After Death scale starts all trees at a point when they can begin falling. About the Publisher Forgotten Books publishes hundreds of thousands of rare and classic books. Find more at www.forgottenbooks.com This book is a reproduction of an important historical work. Forgotten Books uses state-of-the-art technology to digitally reconstruct the work, preserving the original format whilst repairing imperfections present in the aged copy. In rare cases, an imperfection in the original, such as a blemish or missing page, may be replicated in our edition. We do, however, repair the vast majority of imperfections successfully; any imperfections that remain are intentionally left to preserve the state of such historical works.