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

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C. Carvalho-Santos 2010. Fine-scale mapping of High Nature Value farml<strong>and</strong>s<br />

184<br />

3.1. Problems with existing methodologies<br />

Ecological, historical <strong>and</strong> cultural differences in farming l<strong>and</strong>scapes among countries require<br />

region-specific rules to identify HNVf. This paper addresses this problematic <strong>and</strong> presets a new<br />

methodology to map HNVf at a local level, considering the importance of this identification to<br />

the improvement of rural natural <strong>and</strong> economic environment.<br />

The st<strong>and</strong>ard procedures for mapping HNVf in Europe include the use of l<strong>and</strong> use data (CLC -<br />

Corine L<strong>and</strong> Cover), with classes based on an Environmental Stratification (Metzger et al.<br />

2005)When available, the methodology also suggests the use of complementary information on<br />

farming practices, altitude <strong>and</strong> latitude, soil quality, climatic condition, steepness of slope at<br />

national level to improve the cartography (Paracchini et al. 2006). However, the resulting maps<br />

cannot be used to draw conclusions on the presence of HNV farml<strong>and</strong> at the local level, but<br />

only at the regional level (Paracchini et al. 2006). In fact, scale is very important when trying to<br />

map HNVf, because different agro-ecological processes operate at different scales that must be<br />

taken into account.<br />

For HNVf identification at the local scale the application of a downscaling exercise using a<br />

bigger scale l<strong>and</strong> use map seemed to be a good option. In Portugal, local-scale l<strong>and</strong> cover/use<br />

analysis is based on the COS products (Portuguese l<strong>and</strong> cover map, 1:25.000), obtained from<br />

the interpretation of aerial photos. However, there is no satisfactory direct relationship between<br />

the CLC <strong>and</strong> COS classifications (table 1), <strong>and</strong> an HNVf map based on the application of the<br />

regional-scale methodology to a COS map would exhibit more than twice the extent of HNVf<br />

area than a map obtained using the CLC dataset. So, differences in l<strong>and</strong> cover classifications in<br />

maps with different scales may result in very different maps for a same area. Overall, this<br />

implies that the methodology for identifying <strong>and</strong> mapping HNVf should be revised in order to<br />

adapt it to multi-scalar exercises.<br />

3.2. Local scale HNVf mapping – proposal of a new methodology<br />

In order to best consider those areas that could be excluded when applying the CLC<br />

methodology, a new refined methodology has been developed to identify HNVf at local scales.<br />

The national l<strong>and</strong> cover dataset (COS) is the central dataset in this novel methodology.<br />

The first step is to define the “total farml<strong>and</strong> area”, considering not only the pure agricultural<br />

<strong>and</strong> agro-forestry areas, but also small patches of neighbouring forest <strong>and</strong> semi-natural areas<br />

spatially <strong>and</strong> functionally linked with cropl<strong>and</strong>s. We defined the maximum areas of 5ha for<br />

forests <strong>and</strong> 1ha for semi-natural areas. Herewith, we are placing the farml<strong>and</strong> not as fragments<br />

with restricted boundaries, but in its context as a continuous place where biodiversity circulates<br />

among habitats.<br />

Even if the methodology considers two different levels of analysis, the patch level <strong>and</strong> the civil<br />

parish level, the final HNVf map should be presented at the less detailed scale (the parish level),<br />

in order not to lose information in the transition among scales. Moreover, as a l<strong>and</strong>scape<br />

concept, HNVf should not be mapped directly at the individual patch of COS, but using context<br />

attributes such as l<strong>and</strong>scape metrics <strong>and</strong> other features of the farming l<strong>and</strong>scape <strong>and</strong> of the<br />

territory itself (Figure 1). L<strong>and</strong>scape attributes include those related to l<strong>and</strong>scape composition<br />

<strong>and</strong> to l<strong>and</strong>scape structure. Available data on farming (from agrarian censuses) were also added<br />

at the parish level, to identify the importance of primary sector of activity in each parish. Finally,<br />

natural value was taken into account, using available data on regional biodiversity <strong>and</strong><br />

ecosystems from a previous project (FCUP 2009).<br />

Mean values were calculated for all parameters <strong>and</strong> for each parish, based on “total farml<strong>and</strong><br />

area”. To isolate any surrogacy among variables a correlation analysis (e.g. using the Spearman<br />

index) should be carried out. Finally, a global HNV score is obtained for each patch or parish by<br />

reclassifying the selected parameters into five classes using equal breaks, <strong>and</strong> then by averaging<br />

their values. The final scale ranges from 1 (low nature value farml<strong>and</strong>) to 5 (high nature value<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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