Performance of sampling methods to estimate log characteristics for wildlife

Bate, Lisa J.; Torgersen, Torolf R.; Wisdom, Michael J.; Garton, Edward O.

doi:10.1016/j.foreco.2004.04.021

Cited by 51 publications

(63 citation statements)

References 18 publications

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“…Moreover, the authors reported that smaller sample units resulted in higher CVs for both FA and LI methods. Similarly, Bate et al (2004) compared the effectiveness of different sampling methods in estimating the characteristics of woody material in mixed conifer stands in Oregon and Montana, USA. These authors concluded that the best method is dependent on the objective of the forest inventory and local conditions, but indicated that the banded area sampling method was more accurate and efficient than LI approaches when estimating the volume and density of woody material with a diameter ≥ 15 cm.…”

Section: Resultsmentioning

confidence: 99%

Woody Necromass Stock in Mixed Ombrophilous Forest Using Different Sampling Methods

et al. 2018

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-The objective of this study was to quantify the necromass stock in a Mixed Ombrophilous Forest (MOF) fragment in the National Forest of Irati, State of Paraná, Brazil. Two sampling methods were tested: FA1, consisting of a fixed area (FA) approach with sample units measuring 2,500 m 2 (50 m × 50 m); and FA2, consisting of fixed area sampling units measuring 500 m 2 (10 m × 50 m) and line intercept sampling (LI) using 50 m lines. Data were collected on permanent sample plots installed in the area, consisting of 25 square blocks of 1 ha. Fallen dead wood pieces with a diameter ≥ 10 cm were used in the analysis. The dead wood was classified into three degrees of decomposition, and masses were calculated as the corresponding density at each class. The tested sampling methods were evaluated using coefficient of variation and relative sampling error, and the nonparametric Kruskal-Wallis test was used to compare the results between the methods. Volume size of fallen dead wood did not statistically differ between the methods, but variation in necromass volume was lower in the FA1 method, whereas the FA2 method had a smaller sampling error. Overall sampling error ranged from 23.

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Section: Resultsmentioning

confidence: 99%

Woody Necromass Stock in Mixed Ombrophilous Forest Using Different Sampling Methods

et al. 2018

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“…Several vertebrate and invertebrate animal species other than the Aculeata insects use preexisting holes and cavities in wood for nesting and other activities (Koerber & Medler 1958, Krombein 1967, Mccomb & Noble 1982, Thorp et al 1992, Martin & Eadie 1999, Eltz et al 2003, Bate et al 2004, Warren et al 2005. Approximately 400 species of Australian vertebrates use cavities in wood (Gibbons & Lindenmayer 1996).…”

Section: Use Of Cavities In Wood By Other Animalsmentioning

confidence: 99%

An overview of proximate factors affecting the nesting behavior of solitary wasps and bees (Hymenoptera: Aculeata) in preexisting cavities in wood

Morato¹,

Martins²

2006

Neotrop. Entomol.

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Neotropical Entomology 35(3): 285-298 (2006) Revisão sobre a Influência de Fatores Proximais na Nidificação de Vespas e Abelhas Solitárias (Hymenoptera: Aculeata) em Cavidades Pré-Existentes no Lenho PALAVRAS-CHAVE: Vespa solitária, abelha solitária, guilda, cavidade em árvores, ninho-armadilha ABSTRACT -Guilds of Aculeate solitary wasps and bees that nest in preexisting cavities in wood are important components of terrestrial ecosystems because they engage in several ecological interactions (e.g. predation and pollination) with other species of plants and animals. Spatial and temporal variations in richness and abundance of solitary wasps and bees can be related to changes in environmental structure and in the diversity of other groups of organisms. The nesting period of these Aculeata is their most critical life cycle stage. Females of solitary wasp and bee species invest relatively more time constructing and provisioning their nests than do females of social species. Differently from species that nest in the soil or construct exposed nests, the main factors affecting the reproductive success of solitary species nesting in preexisting wood holes are still unknown. Our objective is to provide an overview of the role of proximate causes of nesting failure or success among solitary wasps and bees (Aculeata), for designing effective conservation and management strategies for these Hymenoptera.

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“…Fuel biomass, defined as any forest fuel available to burn, is important when modeling smoke emissions (Hardy, Burgan, & Ottmar, 1999;Ottmar, Burns, Hall, & Hanson, 1983), soil heating (Campbell, Jungbauer, Bristow, & Hungerford, 1995), carbon stocks (Reinhardt & Holsinger, 2010), wildlife habitat (Bate, Torgersen, Wisdom, & Garton, 2004) and site productivity (Brais, Sadi, Bergeron, & Grenier, 2005;Hagan & Grove 1999). Additionally, precise fuel biomass estimates are necessary in all phases of fire management (Chen, Grady, Stephens, VillaCastillo, & Wagner 2006;Ohlson, Berry, Gray, Blackwell, & Hawks, 2006).…”

Section: Introductionmentioning

confidence: 99%

Bayesian Techniques for Surface Fuel Loading Estimation

Karpisz

Pedersen²,

Russell

et al. 2015

IJURCA

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This work has undergone a double-blind review by a minimum of two faculty members from institutions of higher learning from around the world. The faculty reviewers have expertise in disciplines closely related to those represented by this work. If possible, the work was also reviewed by undergraduates in collaboration with the faculty reviewers. AbstractIn previous work, researchers compared three sampling techniques for estimating the biomass of surface fine woody fuels by using them on known distributions. An important result was that precise estimates of fuel biomass required intensive sampling for both planar intercept and fixed-area methods. This study explores Bayesian statistical methods as a means to reduce the sampling effort needed to obtain a desired precision. We examined how initial estimates of the minimum and maximum fuel loading at a site could be used as prior information in a Bayesian framework. We found that, under certain scenarios, Bayesian techniques dramatically increased the precision of the estimator compared to using no prior information from the site.

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Performance of sampling methods to estimate log characteristics for wildlife

Cited by 51 publications

References 18 publications

Woody Necromass Stock in Mixed Ombrophilous Forest Using Different Sampling Methods

Woody Necromass Stock in Mixed Ombrophilous Forest Using Different Sampling Methods

An overview of proximate factors affecting the nesting behavior of solitary wasps and bees (Hymenoptera: Aculeata) in preexisting cavities in wood

Bayesian Techniques for Surface Fuel Loading Estimation

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