Prism sweeps for coarse woody debris

2003 ◽  
Vol 33 (9) ◽  
pp. 1737-1743 ◽  
Author(s):  
Daniel P Bebber ◽  
Sean C Thomas
Keyword(s):  
Coarse Woody Debris ◽  
Statistical Power ◽  
Woody Debris ◽  
New Method ◽  
Sampling Effort ◽  
Power Calculations ◽  
Length Relationship ◽  
Area Sampling ◽  
Fixed Area ◽  
Line Intercept

A new method for sampling coarse woody debris (CWD) is presented, based on relascope sampling of CWD midpoint diameter. In this method, CWD is included in a sample if the angle subtended by the midpoint diameter viewed from plot center is greater than the critical relascope angle. The method is therefore referred to as diameter relascope sampling (DRS). Other methods for sampling CWD are reviewed and compared with DRS using sampling simulations and statistical power calculations. These are fixed area sampling, line intercept sampling, and point rela scope sampling. DRS is shown to be have greater statistical power per unit sampling effort than other methods when CWD diameter and length are linearly or allometrically related, but results can vary with the diameter-length relationship employed. The relative benefits of different methods for sampling CWD are discussed.

scholarly journals Assessment of coarse woody debris following selective logging in Caspian forests: implications for conservation and management

2013 ◽  
Vol 59 (No. 3) ◽  
pp. 117-124
Author(s):  
F.K. Behjou ◽  
O.G. Mollabashi
Keyword(s):  
Coarse Woody Debris ◽  
Forest Ecosystems ◽  
High Efficiency ◽  
Sampling Methods ◽  
Woody Debris ◽  
Forest Health ◽  
Selective Logging ◽  
Survey Method ◽  
Fuel Loading ◽  
Fixed Area

Information on the amount, distribution, and characteristics of coarse woody debris (CWD) in forest ecosystems is highly demanded by wildlife biologists, fire specialists and ecologists. Owing to its important role in wildlife habitats, fuel loading, forest productivity, and carbon sequestration, coarse woody debris is an indicator of forest health. Two sampling methods including fixed-area plot and line intersect sampling were compared for accuracy and efficiency in measuring CWD. Data were selected from mature beech stands following selective logging in Caspian forests. Line intersect sampling consistently provided estimates similar to the results of a 100% survey (high accuracy). This method also took the least amount of time and effort to map the layout and field line location (high efficiency). Finally, line intersect sampling as an easy and fast survey method is suggested to monitor coarse woody debris (CWD) in Caspian forests.  

scholarly journals WOODY NECROMASS STOCK IN MIXED OMBROPHILOUS FOREST USING DIFFERENT SAMPLING METHODS

2018 ◽  
Vol 31 (3) ◽  
pp. 674-680 ◽  
Author(s):  
KARINA HENKEL PROCEKE DE DEUS ◽  
AFONSO FIGUEIREDO FILHO ◽  
ANDREA NOGUEIRA DIAS ◽  
IZABEL PASSOS BONETE
Keyword(s):  
Dead Wood ◽  
Sampling Methods ◽  
Sampling Error ◽  
Permanent Sample Plots ◽  
Area Sampling ◽  
Fixed Area ◽  
Ombrophilous Forest ◽  
Fallen Dead Wood ◽  
Line Intercept ◽  
Volume Size

ABSTRACT 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 m2 (50 m × 50 m); and FA2, consisting of fixed area sampling units measuring 500 m2 (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 23.4-27.92%; lowering the sampling error to 15% would require a high sampling intensity (FA1: 42 area units [a.u.], FA2: 99 a.u., and LI: 236 a.u.). Total necromass weights amounted to 4.67 Mg.ha-1 (FA1); 5.16 Mg.ha-1 (FA2) and 4.58 Mg.ha-1 (IL), and carbon stock estimates were 2.00 Mg.C.ha-1 (FA1); 2.20 Mg.C.ha-1 (FA2) and 1.96 Mg.C.ha-1 (IL).

Decay classes of coarse woody debris in a lowland Dipterocarp forest: implications for volume, density, and carbon estimates

Biotropica ◽  
2021 ◽  
Author(s):  
Ekaterina Shorohova ◽  
Ekaterina Kapitsa ◽  
Andrey Kuznetsov ◽  
Svetlana Kuznetsova ◽  
Valentin Lopes de Gerenuy ◽  
...  
Keyword(s):  
Coarse Woody Debris ◽  
Woody Debris ◽  
Volume Density ◽  
Dipterocarp Forest ◽  
Lowland Dipterocarp Forest

scholarly journals How to Evaluate Downed Fine Woody Debris Including Logging Residues?

Forests ◽  
2021 ◽  
Vol 12 (7) ◽  
pp. 881
Author(s):  
Nathalie Korboulewsky ◽  
Isabelle Bilger ◽  
Abdelwahab Bessaad
Keyword(s):  
Wood Density ◽  
Stock Assessment ◽  
Woody Debris ◽  
Diameter Class ◽  
Density Measurements ◽  
Fine Woody Debris ◽  
Forest Inventories ◽  
Test Zone ◽  
Fixed Area ◽  
Volume Estimates

Volume or biomass estimates of downed woody debris are crucial for numerous applications such as forest carbon stock assessment, biodiversity assessments, and more recently for environmental evaluations of biofuel harvesting practices. Both fixed-area sampling (FAS) and line-intersect sampling (LIS) are used in forest inventories and ecological studies because they are unbiased and accurate methods. Nevertheless, most studies and inventories take into account only coarse woody debris (CWD, >10 cm in diameter), although fine woody debris (FWD) can account for a large part of the total downed biomass. We compared the LIS and FAS methods for FWD volume or biomass estimates and evaluated the influence of diameter and wood density measurements, plot number and size. We used a Test Zone (a defined surface area where a complete inventory was carried out, in addition to FAS and LIS), a Pilot Stand (a forest stand where both LIS and FAS methods were applied) and results from 10 field inventories in deciduous temperate forest stands with various conditions and amounts of FWD. Both methods, FAS and LIS, provided accurate (in trueness and precision) volume estimates, but LIS proved to be the more efficient. Diameter measurement was the main source of error: using the mean diameter, even by diameter class, led to an error for volume estimates of around 35%. On the contrary, wood density measurements can be simplified without much influence on the accuracy of biomass estimates (use of mean density by diameter class). We show that the length and number of transects greatly influences the estimates, and that it is better to apply more, shorter transects than fewer, longer ones. Finally, we determined the optimal methodology and propose a simplification of some measurements to obtain the best time-precision trade-off for FWD inventories at the stand level.

scholarly journals Forest stand structure and coarse woody debris determine the biodiversity of beetle communities in Mediterranean mountain beech forests

2021 ◽  
pp. e01637
Author(s):  
Francesco Parisi ◽  
Michele Innangi ◽  
Roberto Tognetti ◽  
Fabio Lombardi ◽  
Gherardo Chirici ◽  
...  
Keyword(s):  
Coarse Woody Debris ◽  
Stand Structure ◽  
Woody Debris ◽  
Forest Stand ◽  
Beech Forests ◽  
Forest Stand Structure

scholarly journals Assessing Coarse Woody Debris Nutrient Dynamics in Managed Northern Hardwood Forests Using a Matrix Transition Model

Ecosystems ◽  
2019 ◽  
Vol 23 (3) ◽  
pp. 541-554
Author(s):  
Adam Gorgolewski ◽  
Philip Rudz ◽  
Trevor Jones ◽  
Nathan Basiliko ◽  
John Caspersen
Keyword(s):  
Coarse Woody Debris ◽  
Nutrient Dynamics ◽  
Woody Debris ◽  
Hardwood Forests ◽  
Transition Model ◽  
Northern Hardwood Forests ◽  
Northern Hardwood
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