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Landscapes Forest and Global Change - ESA - Escola Superior ...

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M.B. Horta & E. Keizer 2010. Assessment of human <strong>and</strong> physical factors influencing distribution of vegetation degradation<br />

570<br />

The present study examined the vegetation degradation phenomenon in a protected area,<br />

characterized by subtropical moderately humid climate, where degradation affects not only<br />

forest, but also other vegetation types. The main objectives of this study were:<br />

1. assess the variations of vegetation degradation;<br />

2. investigate the association between spatial distribution of vegetation degradation <strong>and</strong><br />

human (roads network, rural settlements/village/city, tourist sites, mining sites,<br />

agricultural areas) <strong>and</strong> physical factors (slope, geology, drainage).<br />

2. Methodology<br />

2.1 Study area <strong>and</strong> map data set<br />

The Environmental Protection Area (EPA) Cachoeira das Andorinhas comprises an area of<br />

18.700 ha. It is located in the north of the Ouro Preto Mountain Range, Minas Gerais state, in<br />

the west extreme of the Brazilian Atlantic <strong>Forest</strong> dominion, setting bounds with the Savannah<br />

dominion (Rizzini 1979). The climate is subtropical moderately humid. The mean annual<br />

temperature varies from 19.5ºC to 21.8ºC.<br />

The data sources utilized for the map data set composition comprehended: L<strong>and</strong>sat TM image<br />

30m resolution; topographic map (for roads, rural settlements, villages, <strong>and</strong> city); contour map;<br />

geology map; <strong>and</strong> drainage map. Data collection in the field was carried out for the ground truth<br />

<strong>and</strong> localization of tourist <strong>and</strong> mining sites. The DEM (Digital Elevation Model) was obtained<br />

from a digitized contour map aiming the creation of the slope map. The classification of the<br />

L<strong>and</strong>sat TM image into l<strong>and</strong> cover classes was carried out through a cluster of steps of<br />

supervised classification. The overall classification accuracy obtained was 82%.<br />

2.2. Data collection <strong>and</strong> analysis<br />

Data collection in the field was carried out in a total of 47 sample plots (25 x 25m) using<br />

stratified r<strong>and</strong>om sampling. For the establishment of vegetation degradation levels in the area 5<br />

ecological indicators (I) were selected according to the literature (De Pietri 1992; De Pietri<br />

1995; Hargyono 1993). The classes of vegetation degradation defined comprehended: not<br />

degraded (0), low degraded (1), moderately degraded (2), highly degraded (3) <strong>and</strong> extremely<br />

degraded (4). The direction of the influence of each indicator in the vegetation degradation<br />

process was defined through the use of multivariate analysis (Principal Component Analysis).<br />

Higher proportion of invasive species cover (%), lower estimation of canopy cover (%) <strong>and</strong><br />

lower proportion of understory cover (%) meant higher level of degradation in the forest areas.<br />

The higher degradation condition in the savannah <strong>and</strong> rocky shrubl<strong>and</strong>s was determined<br />

according to the higher proportion of invasive species cover (%), higher proportion of bare soil<br />

(%) <strong>and</strong> higher percentage of dead shrubs. The invasive species considered were: Arundinaria<br />

effusa, Eupatorium sp., Gleichenia sp., Lantana lilacina, Melinis minutiflora, Panicum sp.,<br />

Pteridium aquilinuum, Rhynchospora exaltata, Solanum sp., Vernonia scorpiodes; Poaceae 1;<br />

Poaceae 2.<br />

Principal Component Analysis (PCA) was implemented for the definition of scores that<br />

represented the vegetation degradation variations <strong>and</strong> for checking redundancy in the data. For<br />

the forest areas the human factors distance to agricultural areas <strong>and</strong> distance to tourist sites<br />

presented clustered to village/city/ rural settlements, <strong>and</strong> were removed from the analysis. For<br />

the savannah <strong>and</strong> rocky shrubl<strong>and</strong>s the variable distance to village/city/ rural settlements was<br />

clustered to mining sites <strong>and</strong> removed from the analysis.<br />

<strong>Forest</strong> <strong>L<strong>and</strong>scapes</strong> <strong>and</strong> <strong>Global</strong> <strong>Change</strong>-New Frontiers in Management, Conservation <strong>and</strong> Restoration. Proceedings of the IUFRO L<strong>and</strong>scape Ecology<br />

Working Group International Conference, September 21-27, 2010, Bragança, Portugal. J.C. Azevedo, M. Feliciano, J. Castro & M.A. Pinto (eds.)<br />

2010, Instituto Politécnico de Bragança, Bragança, Portugal.

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