wood decay pests and protection pdf writer

Wood Decay Pests And Protection Pdf Writer

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When standing dead trees snags fall, they have major impacts on forest ecosystems. Snag fall can redistribute wildlife habitat and impact public safety, while governing important carbon C cycle consequences of tree mortality because ground contact accelerates C emissions during deadwood decay. Managing the consequences of altered snag dynamics in changing forests requires predicting when snags fall as wood decay erodes mechanical resistance to breaking forces.

International Biodeterioration and Biodegradation publishes original research papers and reviews on the biological causes of deterioration or degradation. Aims and Scope. Types of paper Contributions may be original papers, review articles, case studies, short communications, reports of conferences or meetings, book reviews, or news of forthcoming meetings. The subject and content of review articles should be discussed with the Editors prior to submission to the journal.

Dogwood Diseases & Insect Pests

When standing dead trees snags fall, they have major impacts on forest ecosystems. Snag fall can redistribute wildlife habitat and impact public safety, while governing important carbon C cycle consequences of tree mortality because ground contact accelerates C emissions during deadwood decay. Managing the consequences of altered snag dynamics in changing forests requires predicting when snags fall as wood decay erodes mechanical resistance to breaking forces.

Previous studies have pointed to common predictors, such as stem size, degree of decay and species identity, but few have assessed the relative strength of underlying mechanisms driving snag fall across biomes. Here, we analyze nearly , repeated snag observations from boreal to subtropical forests across the eastern United States to show that wood decay controls snag fall in ways that could generate previously unrecognized forest-climate feedback.

Warmer locations where wood decays quickly had much faster rates of snag fall. Furthermore, species-level differences in wood decay resistance durability accurately predicted the timing of snag fall. Differences in half-life for standing dead trees were similar to expected differences in the service lifetimes of wooden structures built from their timber.

Strong effects of temperature and wood durability imply future forests where dying trees fall and decay faster than at present, reducing terrestrial C storage and snag-dependent wildlife habitat.

These results can improve the representation of forest C cycling and assist forest managers by helping predict when a dead tree may fall. This is an open access article, free of all copyright, and may be freely reproduced, distributed, transmitted, modified, built upon, or otherwise used by anyone for any lawful purpose.

The work is made available under the Creative Commons CC0 public domain dedication. The funders had no role in study design, data collection and analysis, decision to publish, or preparation of the manuscript. Competing interests: The authors have declared that no competing interests exist.

Standing dead trees, also called snags, play pivotal roles in the structure and function of changing forests Fig 1. Snags are a keystone structure for many endangered species, providing such important wildlife habitat that forest management guidelines often set explicit targets for minimum snag density [ 1 ]. Snags also represent a major aboveground carbon C pool, accounting for over 1 Pg C in the United States alone [ 2 ].

Regional variation in snag C closely tracks climate change-related forest disturbances [ 3 ]. Drought, fire, and beetle outbreaks all transform productive aboveground biomass into standing deadwood. Whether forest dieback tips forests from net C sinks to sources reflects, among other factors, how snag formation and fall influences deadwood decay [ 4 ].

While deadwood is suspended off the ground, desiccation and nutrient limitation slow both decomposer activity and the rate of decomposition-derived greenhouse gas emissions to the atmosphere [ 5 , 6 ]. In this state, snags can delay the C efflux following disturbance for many years. For example, C emissions from an Oregon forest decreased following a bark beetle outbreak because dead trees no longer stimulated soil respiration and decomposed very slowly [ 7 ].

However, once snags fall to the forest floor and become logs, increased soil contact accelerates saprotrophic respiration by providing a more stable, moist, and accessible environment for decomposers [ 8 ]. Differences in decay rates between standing and down deadwood can be dramatic.

In a recent long-term experiment [ 9 ], ground contact accelerated wood decay by an order of magnitude, which is comparable to the difference in decay rates between leaf litter and wood of the same species [ 10 ].

Consequently, snag fall is a primary control on net forest C balance in the years to decades following disturbance [ 4 , 11 , 12 ]. C pools are surrounded by rounded boxes and C fluxes by bold arrows.

Controlling or predictor variables are in square boxes and their hypothesized influence on fluxes represented by thin solid arrows pointing to control symbols associated with fluxes. The hypothesized direction of the effect is indicated by symbol in the open circle. In addition to their pivotal role in the forest C cycle, standing dead trees threaten public safety and property.

Hazard trees, including snags, are a major source of litigation in the United States where falling trees kill more than people each year [ 13 , 14 ]. Many fatalities occur among tree-care professionals who are tasked with protecting both people and property. As global change stresses aging trees in publically accessible forests, management agencies are allocating an increasing portion of limited budgets to hazard tree identification and removal [ 15 ].

Understanding drivers of snag dynamics in unmanaged forests may translate into improved hazard tree risk assessments for managed forests, helping decision makers allocate resources to removal in the short term and plan for safer forests in the long term.

Evaluating the impacts of snag dynamics in changing forests requires improving predictions for when snags fall based on a mechanistic understanding of how they fall [ 11 , 16 , 17 ].

As with any structural failure, snags fall when applied mechanical stress exceeds toughness [ 18 ]. Snag toughness depends in part on wood density, and wood density generally declines as wood decays [ 19 ].

Therefore, snag fall rates should depend on two kinds of factors: those that expose trees to breaking forces and those that accelerate wood decay. Factors that expose trees to breaking forces represent an interaction between the tree architecture and mechanical loadings from wind, ice, and water [ 18 ]. Factors that influence wood decay rates vary with intrinsic features of deadwood, such as initial density, chemistry, and decomposer communities, as well as extrinsic features such as temperature and soil moisture [ 20 ].

For instance, if snag fall rates depend primarily on factors than limit wood decay, several positive feedbacks could intensify forest C cycling Fig 1.

Quantifying this risk requires identifying how different external and intrinsic factors govern snag fall. Many factors that influence snag fall rates vary with features of the environment where snags form. Regional climate, topography, and stand-level factors may all play roles.

Across broad geographic gradients, climatic variation can influence both exposure to mechanical stress and wood decay. Higher wind loads promote tree fall [ 18 , 21 ] and increasing temperature, among other factors, weakens wood by accelerating decay [ 22 , 23 ].

Regional variation in climate may explain why calm, cool forests at high latitudes in North America store relatively more C in standing deadwood [ 24 ]. At the landscape scale, topography also plays a role [ 25 ]; snag fall rates may increase where steep slopes or flooding destabilize soils and where high soil moisture accelerates decay [ 20 ]. For example, over a 15 year interval, ponderosa pine snag fall rates increased with slope and topographic exposure in northern Arizona [ 26 ].

Within landscapes, dense stands with large trees may shield individual snags from wind [ 11 , 18 ]. However, in certain settings, dense stands can promote snag fall via a domino effect [ 27 ], or by increasing the prevalence of wood decay fungi [ 28 ]. Existing studies consistently recover effects for tree species identity, stem size, and existing decay [ 28 — 32 ]. The effect of tree species identity may reflect variation in wood traits [ 19 , 33 ].

Some species grow denser and therefore tougher wood [ 34 ]. Others imbue non-functional xylem with decay-limiting chemicals, creating naturally durable heartwood that maintains structural integrity well after tree death [ 35 , 36 ]. The same properties can influence variation in snag fall rates within species [ 30 , 32 ].

Wood toughness and stem diameter determine the maximum stress a tree can withstand before breaking [ 18 ]. Wider stems also may have proportionally more heartwood which resists decay more effectively than sapwood [ 35 ].

Both factors may explain why large snags tend to fall at slower rates [ 11 , 31 ]. Besides wood traits and geometry, many other factors potentially influence wood decomposition. Recent studies have highlighted how the identity, assembly, and activity of decomposer communities can influence decay rates and, depending on context, interact strongly with both wood traits and microclimate [ 37 ].

No matter how large, dense, or durable a snag may be, the activity of deadwood feeding organisms erodes mechanical resistance to the point where snags can no longer support their own weight and they fall [ 18 ]. Despite growing interest in how snag fall affects changing forests, the relative strength of key drivers across scales is unclear because existing analyses have focused on limited areas.

According to a recent review, most tree fall studies have assessed dynamics in particular regions [ 21 ]. Studies that estimated snag fall rates specifically have tended to be even more narrowly focused. Most evaluated the persistence of a few thousand snags generated by a major disturbance event in a single forest type in western or northern North America [ 28 — 31 , 38 , 39 ]. While these targeted studies have generated many important insights, none has analyzed the large number of snags and potential drivers across the broad geographic gradients necessary to more generally assess snag fall dynamics.

The most extensive recent analysis [ 11 ] compared dynamics in 10, permanent plots across Canada and found considerable variation in snag fall rates by ecozone and dominant species type. However, this analysis did not evaluate the relative roles of different drivers across scales. To identify broad-scale drivers of variation in snag fall rates, we modelled snag persistence in a forest inventory of almost , revisited snags, representing over tree species growing from boreal to subtropical forests in over 30, plots across the eastern United States.

We focused on comparing the strength of factors that control wood decay relative to those that expose snags to breaking forces. Specifically, we predicted that warmer temperatures, mesic hydrology, lower wood durability, and narrower stem diameters would accelerate snag fall by increasing wood decay, while high wood density, calm winds, gradual slopes, and dense surrounding stands would decrease snag fall by limiting the impact of breaking forces.

We used the data-informed model to project changes in snag fall rates as a function of changes in key drivers that are anticipated by mid-century. Finally, we incorporated snag fall projections into a simple forest C model to quantify the effect of temperature driven change on structure and function of an intensively studied forest. Among 99, standing dead trees observed in 31, locations spanning the eastern United States, The model correctly predicted For 14, snags at the earliest stage of decay, only These estimates reflect the persistence times solely for standing dead trees and not for living trees that might fall during wind throw or other catastrophic events.

Among many potential predictors, snag fall rates depended primarily on four factors, three of which control wood decay Fig 2. The strongest predictor was average annual temperature AT , Fig 2. Warmer forests had much faster rates of snag fall, even after controlling for spatial autocorrelation and species differences Fig 3A. Assuming effects do not change with time, 2.

Incorporating accelerated snag fall into a C model for a northern hardwood forest decreased both snag C and net ecosystem production NEP, kg C ha -1 yr Accelerated snag fall with 2. Both changes only reflected modelled differences in snag fall due to temperature, not potentially faster wood decay. The strong effect of temperature contrasted with the weak effect of average wind speed, a hypothesized predictor that was associated with slightly slower rates of snag fall in a subset of the data S1 Fig.

Predictors include mean annual temperature, species wood durability, initial diameter at 1. Horizontal lines show average effect sizes for all snags and filled circles show effect sizes for subsets representing different progressive decay classes.

All predictors increased the probability of snag persistence except mean annual temperature, which decreased the probability of persistence. Other factors were examined but were not significant. The thick central curves correspond to the mean of the posterior distribution for each effect, and the transparent curve overlay represents uncertainty by showing curves drawn from the posterior distribution of the relevant parameters.

Snags from species with more durable wood stood significantly longer Fig 3B. A recently dead tree with wood that is one unit less durable, all else being equal, reduced the annualized probability of snag persistence by 0. While wood durability strongly influenced rates of snag fall, the simplified models did not include a wood density effect, another hypothesized predictor. Likewise, snags with a wider diameter stood longer Fig 3C.

All else being equal, if two dead trees differed in diameter by 3. Compared to other significant drivers of snag fall, stand density TPH , trees per hectare is uniquely associated with exposure to breaking forces and its effect on snag fall was much weaker Fig 2. Nevertheless, a tree that died in a stand with fewer trees per hectare had an annual persistence probability that was 0.

About the Author

It has a more restricted distribution than the other species, occurring in Europe and Asia, but not i It has a more restricted distribution than the other species, occurring in Europe and Asia, but not in North America. Reports of its occurrence in South America are likely to be errors in identification. Recent identification of a new species in Japan suggests that it may not be present there, as previously thought, and reports from other parts of eastern Asia may have to be re-examined. Introduction could occur through the importation of infected fruit as well as of tree material for propagation and breeding, from which it could spread readily by means of conidia carried by the wind or insects. In , Persoon further described the conidial fungus under the name Monilia fructigena Byrde and Willetts,

This in turn is affecting the way we think about controlling decay in wood preservation and wood protection schemes, as well as how we may apply fungal decay.

Cut Seal Form

Wounds where large avocado limbs were pruned have been colonized by a heart rot decay fungus. Several fungal diseases, sometimes called heart rots, sap rots, or canker rots, decay wood in tree trunks and limbs. Under conditions favoring growth of specific rot fungi, extensive portions of the wood of living trees can decay in a relatively short time i. Decay fungi reduce wood strength and may kill storage and conductive tissues in the sapwood.

InspectAPedia tolerates no conflicts of interest. We have no relationship with advertisers, products, or services discussed at this website. How do we distinguish between carpenter ants and termites, how do we identify carpenter ant damage, carpenter bee damage, powder post beetle or old house borer damage and termite damage.

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