23.01.2015 Views

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

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

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

SHOW MORE
SHOW LESS
  • No tags were found...

Create successful ePaper yourself

Turn your PDF publications into a flip-book with our unique Google optimized e-Paper software.

D. Geni et al. 2010. A framework for characterizing convergence <strong>and</strong> discrepancy in rural forest management<br />

720<br />

In each forest case, an interdisciplinary attempt was made in order to provide a detailed<br />

description of the rural forest, taking into account stakeholders, resources, practices involved,<br />

<strong>and</strong> ecological aspects <strong>and</strong> dynamics. A common analysis grid was previously built in order to<br />

produce a corpus of comparable data. The general aim was to characterize the socio-ecological<br />

systems by putting emphasis on interactions between ecological structures <strong>and</strong> functioning, use<br />

rules <strong>and</strong> intensity of uses of natural resources both in time <strong>and</strong> space. We encompassed five<br />

main themes: 1) physical <strong>and</strong> ecological characterization; 2) Actors <strong>and</strong> use rules; 3) Uses <strong>and</strong><br />

functions of forests <strong>and</strong> forest resources; 4) Naturalist, technical, organisational, spiritual <strong>and</strong><br />

political knowledge linked with the uses of trees <strong>and</strong> forests; 5) Main dynamics <strong>and</strong> challenges<br />

related to forested areas.<br />

In a first step, monographs were analyzed <strong>and</strong> similarities or differences were pointed out by a<br />

qualitative analysis of the results within themes above mentioned. On the basis of this material<br />

<strong>and</strong> team researchers’ expertise, a comparative data base was built, composed of 58 variables.<br />

We rated the outcomes for each variable on a five-point scale: inexistent or very low (1), low or<br />

poorly important (2), neutral or average (3), high or important (4), very high or very important<br />

(5). Assessments were done by a reduced researchers’ group, <strong>and</strong> codification result discussed<br />

with the all team members of the POPULAR project. This process was effective for stimulating<br />

discussions, facilitating consistent <strong>and</strong> comparable information, <strong>and</strong> scoring of the variables. All<br />

variables were treated as having uniform weight, <strong>and</strong> were analysed together through Multiple<br />

Correspondence Analysis (MCA, see Benzecri, 1973). MCA was performed in two stages: first<br />

by fitting a cloud of points in a multidimensional vector subspace, <strong>and</strong> second, by setting a<br />

metric structure on this space. This analysis provided a non-parametric description of the<br />

relationships between modalities of variables <strong>and</strong> an indication of their importance rather than a<br />

measure of significance. It allowed the possibility of treating together both qualitative <strong>and</strong><br />

quantitative data. We performed a Hierarchical Cluster Analysis of both variables <strong>and</strong> case<br />

studies using their scores along the main MCA axes, Euclidian distance <strong>and</strong> Ward linkage<br />

function. The Pearson correlation test was used in order to evaluate similarities between sites,<br />

<strong>and</strong> between variables. Data treatments were carried out using the STATBOX software.<br />

3. Results <strong>and</strong> discussion<br />

The main difficulty in studying rural forests is to deal with the complexity <strong>and</strong> interrelationships<br />

of uses, practices, functions <strong>and</strong> representations associated with forest resources <strong>and</strong> wooded<br />

l<strong>and</strong>scapes. In this sense, a global descriptive approach of this complexity can constitute a first<br />

step in order to filter the main aspects governing the functioning of these systems. The set of<br />

case studies we undertook here, though far from being exhaustive, gives an interesting overview<br />

of this diversity in terms of ecosystem types <strong>and</strong> forest resources, forms of organization <strong>and</strong><br />

operation of local communities, role of public authorities in forest management, <strong>and</strong> functions<br />

devoted to forest areas.<br />

MCA reduction of the initial table in a few number of dimensions led to a synthetic<br />

representation of both forest case <strong>and</strong> influential variables that made possible a comparison of<br />

the similarities <strong>and</strong> dissimilarities between the forest cases. The first four MCA axes covered<br />

more than 50% of the overall observed variance, which is a relatively high score for a<br />

qualitative data set.<br />

The first axis made it possible to discriminate the tropical forests (Cameroon, Indian reserved<br />

forests <strong>and</strong> to a lesser extent Indonesia significantly correlated to little to average domestication<br />

of trees, very strong rate of tree cover associated with a very strong tree species diversity, uses<br />

related to timbering <strong>and</strong> the non timber forest products (NTFP), <strong>and</strong> a strong control of the rules<br />

at the collective level) from the Corsican <strong>and</strong> Cevennes chestnut groves <strong>and</strong> truffle growing<br />

significantly correlated to highly transformed ecosystem, little fragmentation of the l<strong>and</strong>scape,<br />

private l<strong>and</strong>ownership associated with little influence of collective institutions, strong use for<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.

Hooray! Your file is uploaded and ready to be published.

Saved successfully!

Ooh no, something went wrong!