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Results

Management need in protected areas

The percentage of protected forests areas that according to the Swedish Forest Agency´s inventory need active management was 66 %, while 33 % of the forests were best preserved by non-intervention (Table 1). The results also showed that Nature conservation areas had a higher management need than Habitat protection areas (Table 1). For the dominating forest types, former semi-natural grasslands had the highest management need followed by deciduous forests, while the lowest management need was estimated for coniferous forests and swamps, Table 1.

 

Table 1. Proportion of active management and non-intervention reported by the Swedish Forest Agency in Habitat protection areas and Nature conservation areas and for dominating forest types occurring in these areas.   

 

Active management, %

Non-intervention, %

Total (Habitat protection areas and Nature conservation agreements) (protected forests)

66 %

33 %

Habitat protection areas

55 %

45 %

Nature conservation agreements

82 %

18 %

 

 

 

WKH-Dominating forest type:

Deciduous forests

83-86 %

14-17 %

WKH-Dominating forest type:

Coniferous forests

47-50 %

50-53 %

WKH-Dominating forest type:

Swamps/wet areas

43-44 %

56-57 %

WKH-Dominating forest type:

Former semi-natural grasslands

93-99 %

1-7 %

Figure 1. Most common management options reported by the Swedish Forest Agency in Habitat protection areas and Nature conservation areas depending on dominating forest type.

 

Management need according to dominating forest type

Proposed management options differed greatly depending on dominating forest type (Figure 1). Some general trends seen was that cutting, mainly of spruce was most common in deciduous forests, while in former semi-natural grasslands livestock grazing and mowing was the most common options. In coniferous forests and swamps, non-intervention was the dominating management option, followed by cutting around single trees or groups of trees and cutting of both young spruce trees and spruce trees >15 cm in diameter (Figure 1).

Figure 2. Most common management options depending on tree composition. For each tree type (spruce, pine, oak, beech, birch and aspen) the most common management options are given depending on proportion of tree type in an area.

 

Management need according to tree composition

The management need differed greatly depending on tree species composition (Figure 2). Some identifiable trends were that non-intervention got more common with an increased amount of spruce in the forest stand. The same increasing trend of non-intervention was seen in beech forest where the proportion of non-intervention increased with an increased proportion of beech in the forest stand.

The oaks management need differed greatly from the previous presented, where non-intervention was only proposed in a small extent even with low proportions of oak. With high proportions of oak, no non-intervention was proposed. The amount of non-intervention in pine forest increased slightly with a larger proportion of pine in the forest stand. Birch and aspen forests had a shifting level of non-intervention, but it was generally low, and the level decreased slightly with a higher proportion of birch or aspen. 

Field inventory of oak-rich environments

Occurrence of lichens (Calicium adspersum and Chaenotheca phaeocephala) were affected by several different factors. The total number of findings of each species during the inventories were low for all species except Calicium adspersum and Chaenotheca phaeocephala (Table 2). Occurence of both species were positively affected by bark fissure depth. Canopy cover (total and bushes & young trees(<10cm)) had a negative effect on occurrence of Chaenotheca phaeocephala, while openness had a positive effect (Table 3). No variables had a significant effect on the abundance of lichens.

 

Table 2. Number of trees that there were findings of each lichen species on, during performed inventory. In total 148 oaks were visited. 

Species

Status

Number of findings

Chrysothrix candelaris (L.) J.R Laundon

LC  (Least concern)

         X

Chaenotheca phaeocephala (Turner) Th. Fr.

LC  (Least concern)

        21

Cliostomum corrugatum (Ach.:Fr.) Fr.

NT  (Near threatened)

        4

Calicium adspersum Pers.

LC  (Least concern)

       18

Lecanographa amylacea (Ehrh. Ex Pers.) Egea & Torrente

VU  (Vulnerable)

        2

Sclerophora coniophaea (Norman) Mattsson

NT  (Near threatened)

        0

Lobaria pulmonaria (L.) Hoffm.

NT  (Near threatened)

        0

Gyalecta ulmi (Sw.) Zahlbr.

VU  (Vulnerable)

        0

Schismatomma decolorans (Turner & Borrer ex Sm.)Clauzade & Vezda

LC  (Least concern)

        1

 

Table 3. GLM results for Calicium adspersum and Chaenotheca phaeocephala, testing variables’ effect on occurrence, presenting estimate, standard error and p-value

Explanatory variable

Calcium adspersum

 

Estimate(SE) P-value

Chaenotheca phaeocephala

 

Estimate (SE)   P-value

Bark fissure depth

0.685 (0.250)

0.006 *

0.601(0.238)

0.011 *

Vitality

0.00840 (0.00718)

0.242

0.000735 (0.00411)

0.858

Overgrowth

-0.0127 (0.0180)

0.481

-0.0405 (0.0189)

0.032 *

Canopy cover total

-0.00553 (0.0185)

0.765

-0.0351 (0.0169)

0.038 *

Canopy cover bushes & young trees (<10cm)

0.00554 (0.0102)

0.587

-0.0191 (0.00909)

0.036 *

Canopy cover coniferous

0.000209 (0.0140)

0.988

-0.00133 (0.0133)

0.921

Canopy cover deciduous

0.00780 (0.0106)

0.463

-0.000403 (0.00934)

0.967


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Last updated: 05/15/19