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Ecology of the European silver fir Abies alba Mill. in vegetation landscapes of south-eastern Poland: GIS and multivariate ordination methods Bożenna CZARNECKA Department of Ecology, Faculty of Biology and Biotechnology Lukasz CHABUDZIŃSKI Geoinformation Laboratory, Faculty of Earth Sciences and Spatial Management Maria Curie-Sklodowska University, Lublin, Poland
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Ecology of the European silver fir Abies alba Mill. in ... · Multivariate analysis of ecological data using Canoco. Cambridge Univ. Press, Cambridge. ... • In the light of the

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Page 1: Ecology of the European silver fir Abies alba Mill. in ... · Multivariate analysis of ecological data using Canoco. Cambridge Univ. Press, Cambridge. ... • In the light of the

Ecology of the European silver fir Abies alba Mill. in vegetation landscapes of south-eastern Poland: GIS

and multivariate ordination methods

Bożenna CZARNECKADepartment of Ecology, Faculty of Biology and Biotechnology

Łukasz CHABUDZIŃSKIGeoinformation Laboratory, Faculty of Earth Sciences and Spatial

Management Maria Curie-Skłodowska University, Lublin, Poland

Page 2: Ecology of the European silver fir Abies alba Mill. in ... · Multivariate analysis of ecological data using Canoco. Cambridge Univ. Press, Cambridge. ... • In the light of the

Geographical range of Abies alba Mill. in Europe

Source: Abies_alba_distribution_map.svg[1].png

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Distribution of silver fir Abies alba Mill. in PolandSource: Zając A., Zając M. (2001)

Phot. Joanna Czarnecka

� north limit of geographic range;

� on uplands (Małopolska Upland, Świętokrzyskie Mts., Roztocze Highlands) endemic upland mixed fir forest Abietetum polonicum (= the Holy Cross fir forest; code 91P0)

(JC)

Page 4: Ecology of the European silver fir Abies alba Mill. in ... · Multivariate analysis of ecological data using Canoco. Cambridge Univ. Press, Cambridge. ... • In the light of the

Study aims

To answer the questions:• How wide is an ecological amplitude of Abies alba in the

Roztocze Highlands, south-eastern Poland, i.e. at the limits of the species geographic range?

• Does A. alba expand its optimal habitat niche (upland mixed fir forest Abietetum polonicum; acid brown and podzol soils) for an alternative niches contributing to greater diversity in the occupied habitats?

• What kind of terrain characters are responsible for A. albaoccurrence in two landscape types of the region, i.e. Cretaceous hills and gorge sections of river valleys crossing the SW escarpment zone?

• Whether the geographical information system (GIS), particularly digital elevation models (DEM) are useful in the studies of relationships between topographic and ecological attributes ofvarious vegetation landscape?

Page 5: Ecology of the European silver fir Abies alba Mill. in ... · Multivariate analysis of ecological data using Canoco. Cambridge Univ. Press, Cambridge. ... • In the light of the

RNP

Roztocze National Park (RNP)

Sopot river valley

Stokowa Góra Hill

Page 6: Ecology of the European silver fir Abies alba Mill. in ... · Multivariate analysis of ecological data using Canoco. Cambridge Univ. Press, Cambridge. ... • In the light of the

Stokowa Góra hill

Sopot river valley

Source: www.geoportal.gov.pl (2009) 1:10 000

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Data and tools• Maps of plant communities at the scale of

1:5000 • Phytosociological relevés, soil pits and

drills

• Abies alba abundance evaluation - RNP hills: forest sections in which at least

one dimension has 200 m - river valleys: 200-m long sections

(separately for the left and right riverbanks)

Stokowa Góra Hill

400 m

Map source: Izdebski et al. (1992), changed

riverbanks)

185 forest and 130 valleys sections =315 area units altogether

Sopot river valley

600 m

Map source: Czarnecka (1998), unpbl.

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Data and tools

The simplified, combined scale used for evaluation frequency and abundance of Abies alba in a particular valley and forest section:

1 – sporadic species (single plants or small clumps)2 – rare and non-abundant species (covering <10% of the section area)3 – frequent and abundant species (covering 10-50% of the section

area)area)4 – common and very abundant species (covering >50% of the section

area)

Source of data on A. alba abundance• River valleys: maps of plant communities from the years 1997-2001 (Czarnecka, unpbl. data), floristic charting in 200-m-long sections (separately for the left and right riverbanks), plans of forest management for different forest districts (1998)• Cretaceous hills: maps of plant communities of the RNP (Izdebski et al. 1992), maps of potential vegetation of the RNP (Izdebski et al. 1997), plans of forest management for the RNP (2001)

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Community analyses in terms of a fir cover in the tree and shrub layer; on 222 phytosociological relevés altogether (11-degree scale: + - cover <5%, 1 – 6-10%, …, 10 – 91-100%):

• 99 from the gorge sections of river valleys (= RV sites);• 123 from the area of the Roztocze National Park (= RNP sites).

Topography / habitat analyses:• terrain features: plain/plateau sites (<5 degr.) vs slopes (>5 degr.)• soil type: mineral (<20% of organic matter content) vs organic

Data and tools

• soil type: mineral (<20% of organic matter content) vs organic (>20% of organic matter content)

Soil parameters analyses (for 1/3 of 222 phytosociological relevés, from 72 soil pits and drills altogether: 33 and 39 soil in the RVsites and RNP sites):

• content of organic carbon/organic matter• soil reaction (pH in dist. H2O)• content of calcium and iron

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Data and tools: geoinformation methods

Topographic map (1: 10 000) elaboration – Digital Elevation Model (DEM), Topo to Raster tool:

• digitization of contour lines (with a resolution of 3 m), elevation points, valley edges and their height

Topographic attributes calculation:• primary – slope, planar (= contour), vertical (= profile)

and total curvature and total curvature

• secondary – mean solar radiation (SRAD), topographic wetness index (TWI), heat load index (HLI), topographic radiation aspect index (TRASP/TRA)

Zone statistics Calculation – Zonal Statistics tool

Hengl T. 2006. Finding the right pixel size. Computer Geoscience 32(9): 1283–1298. Kraak M.J., Ormeling F. 2003. Cartography. Visualisation of geospatial data. Bell & Brain Ltd., Glasgow.Wilson J.P., Gallant J.C. (eds). 2000. Terrain analysis. Principles and applications. John Wiley & Sons, New

York.

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Other statistics used (Statistica PL; Statistical inference was performed at P<0.05)

• The U Mann-Whitney test and Spearman rank correlation index(R) to check the significance of differences in the Abies alba cover in the different habitats (in 222 phytosociological relevés)

• CANOCO – Principal Components Analysis (PCA) to check the relationships between A. alba abundance in 315 area sections (in 4 river valleys and 5 Cretaceous hills) and the primary and secondary topographic attributestopographic attributes

Eigenvalues and percentages of A. alba abundance and topographic variance explained by the first four axes were calculated. The pattern obtained from the classification was transferred onto a graph with sample groups marked in the PCA. The first two axes were shown on the graph.

Lepš J, Šmilauer P. 2003. Multivariate analysis of ecological data using Canoco. Cambridge Univ. Press, Cambridge.

Ter Braak CJF, Šmilauer P. 2002. CANOCO reference manual and CanoDraw for Windows. User’s guide: software for canonical community ordination, Version 4.5. Ithaca, Microcomputer Power.

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Community

River valleys

RNP(6,800

ha)Szum

(43.6 ha)Sopot

(80.5 ha)Jeleń

(37.7 ha)

Potok Łosiniecki(24.8 ha)

Upland mixed fir forest 17.4% 46.1% 40.4% - 8.3%

Secondary pine community with A. albaCl. Vaccinio-Piceetea

2.6% 1.5% 6.5% - 7. 1%

Szum river Sopot river Roztocze NP

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Tree layer Understorey layer

Topography SlopePlain/

PlateauP R Slope

Plain/Plateau

P R

All data 2.86N=64

1.95N=143

NS 0.13NS

1.03N=64

1.01N=143

NS 0.07NS

Relationships between mean cover of Abies alba and topography Differences analyzed with the U Mann-Whitney test

R – Spearman rank correlation index; N – no. of relevés

N=64 N=143 NS N=64 N=143 NS

River valleys 3.3N=51

1.4N=43

<0.01 0.33<0.01

1.13N=51

0.52N=43

<0.0001 0.43<0.0001

RNP 1.08N=13

2.18N=100

NS -0.18NS

0.65N=13

1.23N=13

NS -0.18NS

In river valleys A. alba prefers the slope sites.

In the RNP A. alba prefers the plain/plateau sites, but there is no statistical significance.

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RNP River valleys

1.2

Plain/Plateau

pH

Ca

Fe

1.5

Slope

pH

C org.

Ca Fe

(PCA analysis)

Fir forest + secondary pine com. with A. albaPine forests Mixed coniferous forests

Beech forest Linden-hornbeam forest Oak forestAsh-alder forestBog alder forest

-0.6 1.2-0.6

Slope

C org.

-0.6 1.2-1.0

Plain/Plateau

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PCA analysis: 315 area sections

Page 16: Ecology of the European silver fir Abies alba Mill. in ... · Multivariate analysis of ecological data using Canoco. Cambridge Univ. Press, Cambridge. ... • In the light of the

PCA analysis: all study objects (mean values of each variable)

SL – slopeCV – vertical curvatureCP – planar curvatureCT – total curvatureTWI – topographic wetness indexSRAD – solar radiation indexHLI – heat load indexTRA – topographic radiation aspect index

Eigenvalues: Axis 1 – 4.81, Axis – 2.49, Axis 3 – 1.55, Axis 4 – 0.89Cummulative percentage: Axis 1 – 48.07, Axis 2 – 73.00, Axis 3 – 88.52, Axis 4 – 97.40

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PCA analysis: river valleys (mean values of each variable)

Eigenvalues: Axis 1 – 7.33, Axis 2 – 1.69, Axis 3 – 0.98, Axis 4 – 0.00 Cummulative percentage: Axis 1 – 73.28, Axis 2 – 90.15, Axis 3 – 100.00, Axis 4 –100.00

SL – slopeCV – vertical curvatureCP – planar curvatureCT – total curvatureTWI – topographic wetness indexSRAD – solar radiation indexHLI – heat load indexTRA – topographic radiation aspect index

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PCA analysis: Cretaceous hills (mean values of each variable)

SL – slopeCV – vertical curvatureCP – planar curvatureCT – total curvatureTWI – topographic wetness indexSRAD – solar radiation indexHLI – heat load indexTRA – topographic radiation aspect index

Eigenvalues: Axis 1 – 5.41, Axis – 2.22, Axis 3 – 2.06, Axis 4 – 0.31Cummulative percentage: Axis 1 – 54.01, Axis 2 – 76.26, Axis 3 – 96.88, Axis 4 –100.00

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Abies alba in two landscapes of the Roztocze Highlands – final remarks

• In the Roztocze Highlands, especially in the landscape of river valleys, Abies alba occupies habitats that are too leachy for leaf species and even spruce. In the river valleys, it overgrows middle and upper parts of steep slopes, whereas on the Cretaceous hills it most often occurs at foothills and lower parts of hills.

• In the landscape of river valleys, A. alba seems to have much • In the landscape of river valleys, A. alba seems to have much broader ecological amplitude than in the landscape of the Cretaceous hills (RNP), inhabitating semihydrogenic or even hydrogenic soils on the bottoms of valleys overgrowed with ash-alder and bog alder forests.

• While leaf species building beech and linden-hornbeam forests encroach into the habitats of mixed fir forests in the landscape of the Cretaceous hills (RNP), there is no competition for A. alba from deciduous species on the steep slopes of the river valleys.

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Abies alba in two landscapes of the Roztocze Highlands – final remarks

• Mean slope (SL) is the most important topographic attribute for Abies alba abundance in both landscape studied: positive for the river valley and negative for the Cretaceous hills.

• The present study confirmed that the TWI on the one hand and indices connected with light intensity, slope aspect and slope configuration (i.e. SRAD, HLI, TRA) on the other hand have an configuration (i.e. SRAD, HLI, TRA) on the other hand have an adverse influence on Abies alba abundance.

• In the light of the present study, the DEM and multivariate canonical analyses seem to be useful in determination of correlations between topographic and ecological attributes of both vegetation landscape types.

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Abies alba in two landscapes of the Roztocze Highlands – conclusions

• The present studies are rather of preliminary character. Other important factors should be taken into account in future analysis, e.g. geological formations, precise soil characters (granulometric composition, soil moisture, acidity, humus content, fertility etc.), topoclimate.

• Using the DEM generated from more accurate LIDAR data for the study area (available only in the recent months) instead of the Topo to Raster tools, may bring the results of much greater quality in the future analyses.

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Terrain modelling: the past and the future

Sopot river valley

Hillshade from the DEM generated from the Topo to Raster tools

Hillshade from the DEM generated fromLIDAR data