Current Trends in Forest Research

A Comparison Between Plot-Count and Nearest-Tree Method in Assessing Tree Regeneration Features

Authors: Markus O. Huber, Andreas Schwyzer, Andrea Doris Kupferschmid *

*Corresponding Author: Andrea Doris Kupferschmid, Swiss Federal Research Institute WSL, Forest Resources and Management, Zürcherstrasse 111, 8903 Birmensdorf, Switzerland. Tel: +41447392813; Email : andrea.kupferschmid@wsl.ch

Swiss Federal Research Institute WSL, Switzerland

Received Date: 25 August, 2018

Accepted Date: 11 September, 2018

Published Date: 19 September, 2018

Citation: Huber MO, Schwyzer A, Kupferschmid AD (2018) A Comparison Between Plot-Count and Nearest-Tree Method in Assessing Tree Regeneration Features. Curr Trends Forest Res : CTFR-122. DOI: https://doi.org/10.29011/2638-0013.100022

Abstract

Assessing tree regeneration is important, in particular the proportion of saplings browsed due to the increasing number of ungulates. However, results of surveys differ on the method used. We investigate the differences between the plot-count method and the nearest-tree method for their use in tree regeneration inventories using simulation and field surveys at 11 study sites. The methods use differing references, ie number of trees vs. stand area. From a silvicultural point of view and not to the estimators from a statistical point of view.

For simulations, three artificial stands were generated taking gaps and tree clusters into account. Therein seven equidistant grids (36-484 grid points) were used for both methods. The plot-count was applied using circular sample plots with a radius of 1.5 m. The nearest-tree method was applied using maximum search distances of 1.13 and 3.99m, referring to stocking goals of 2500 and 200 trees ha -1, respectively. Two to five times more trees were evaluated for the plot-count method. In contrast to the nearest-tree method, the plot-count method does not account for unstocked state area when evaluating the stocking goal. The estimated proportion of damaged trees (plot-count method). The same as the case for the variation but the estimators of both are asymptotically unbiased.

Abies alba saplings using a maximum searching distance of 10 m. For the 11 field surveys, results of 2 m circular sample plots . Due to the large searching area, the density estimations of the nearest-tree method were more precise for low sapling numbers. The estimated proportion of browsed saplings highly differed from the area occupied by browsed Abies alba saplings.

The nearest-tree method is less laborious when measuring only the nearest tree. Silvicultural decision making in structured naturally regenerated states.

Keywords: Forest Inventory; silviculture; Regeneration monitoring; Regeneration sampling; Regeneration Survey



Figure 1: Tree coordinates (a, d and g) and individual-tree inclusion zones for saplings in the example stands. Subfigures ac, df and gi refer to example stands 1, 2 and 3, respectively. Damaged trees are marked as black dots (a, d and g) or their inclusion zone painted in dark gray. The subfigures in the middle and right column differ only by the size of the tree inclusion zones. The white area in these subfigures is considered unstocked.




Figure 2: Proportion of damaged trees for the three example estimates using the plot-count method (a, d and g) search distances of 1.13m (b, e and h) and 3.99m (c, f and i) over the number of sample plots. Subfigures ac, df and gi refer to example stands 1, 2 and 3, respectively




Figure 3: Results for the 11 field survey sites described in Table 3 . Abies alba sapling density calculated based on the plot-count method (a) or the k-tree method with the distance of the two Abies sapling nearest to the plot center (b). The proportion of browsed Abies saplings - the so called browsing intensity - based on the plot-count method (c) and proportion of occupied stand area (d) for the group of browsed Abies saplings (black triangle) and in total (gray square) , For panels ac) median (bold line), first and third quartile (bottom and top of the box) with whiskers at quartile ± 1.5 * interquartile range and individual points more extreme in value (circles) have been drawn using boxplot in default R code. For better visibility, in panel a) and b) a line is drawn at a density of 796 saplings.

 

Number of sample po ints

Nearest-tree method

Maximum distance 1.13 m

Nearest-tree method

Maximum distance 3.99 m

Plot-count method

Radius 1.5 m

Simulated example states:

1

2

3

1

2

3

1

2

3

36

18

18

19

36

34

34

45

43

60

64

40

34

36

64

61

61

123

110

203

100

72

65

69

100

95

95

211

188

280

144

95

82

87

144

134

135

270

225

418

196

116

98

106

196

184

184

321

263

475

256

165

144

152

256

241

241

438

372

653

484

304

264

284

484

456

457

842

705

1299


Table 1: Number of evaluated trees by method and example stands for the 7 different sampling grids.


 

Number of sample points

 

Estimated number of trees (std err.)

 

Stand 1

Stand 2

Stand 3

36

1768 (170)

1690 (175)

2358 (499)

64

2719 (201)

2431 (201)

4487 (844)

100

2985 (162)

2660 (154)

3961 (446)

144

2653 (146)

2210 (139)

4107 (514)

196

2316 (111)

1898 (99)

3429 (396)

256

2420 (96)

2055 (90)

3609 (329)

484

2461 (68)

2061 (66)

3797 (255)


Table 2: Number of trees using the plot-count method by example for the 7 different sampling grids.


No.

 

Site

coordinates

Forest

N plot

Nearest-tree method

X

Y

grade

proportion of browsed Abies saplings

1

Nieselberg (Zuzwil)

722800

258900

fa

15

14.3

± 9.7

2

Altenberg (Degersheim)

729600

250000

Fa (AcFrTi)

16

7.1

± 7.1

3

Bernhardzell Forest (Waldkirch)

742900

258000

Fa (AcFrTi)

16

6.3

± 6.3

4

Wild Mountain (Jonschwil)

725700

252800

Fa (AcFrTi)

15

30.8

± 13.3

5

Bunny Knitting (Goldach)

755000

258000

fa

18

15.4

± 10.4

6

Moss (book)

751600

223600

Fa-Ab (AcFrTi)

15

0.0

7

Slit stone (chamois)

750300

231800

Fa-Ab (AcFrTi)

15

25.0

± 16.4

8th

Deciduous forest (Amden)

734900

225700

Ab-Pi (Fa-Ab)

15

0.0

9

Hofstetten (Hemberg)

730600

241200

Fa (Fa-Ab)

15

0.0

10

Hull (Wattwil)

721100

238900

Fa From

16

13.3

± 9.1

11

Neckerwald (Krummenau)

734600

236200

Ab-Pi (Fa-Ab)

15

0.0


Table 3: Details of the 11 assessed sites in the field survey, including the coordinates and prevailing forest types at each site (Acer Fraxinus - Tilia , Fagus , Fagus - Abies and Abies - Picea ). # Is the number used in Figure 3 , N plot is the number of plots per site. Not considering the unstocked area, the proportion of area was occupied by browsed Abies saplings [%] what Calculated using the nearest-tree method.

 

 

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