THE ENVIRONMENTAL CRIMES IN THE MUNICIPALITY OF SERRA - ES: ACTIONS AND CONTRADICTIONS OF THE INVOLVED AGENTS
Name: LUIZ CLAUDIO DE LIMA
Type: MSc dissertation
Publication date: 31/08/2017
Advisor:
Name |
Role |
|---|---|
| ENEIDA MARIA SOUZA MENDONÇA | Advisor * |
Examining board:
| Name |
Role |
|---|---|
| ANDRE LUIZ NASCENTES COELHO | Internal Examiner * |
| ENEIDA MARIA SOUZA MENDONÇA | Advisor * |
Summary: The environmental issue has assumed an increasingly important role, both for the constant advance of urbanization on the natural resources and transformation of the landscapes, as well as for the need of its preservation and conservation to guarantee an environmentally balanced environment. Being the municipality of Serra, part of this context, this paper proposes to analyze the issue of environmental crimes and their relations with municipal public spaces, identifying the spaces of occurrences and their main socio-environmental consequences, as a way to contribute to a redefinition public policies and the valorisation of resources and municipal public spaces. The methodology used, in addition to the bibliographical research, was the data collection with the Criminal Courts of the Forum of the municipality of Serra, through consultation of the books of registry of criminal actions referring to the period from 2005 to 2015. Through them were located the (Criminal Actions), which allowed the identification of the particular characteristics of the investigated occurrences, thus providing an analysis of the registered environmental crimes. Of the universe of 166 criminal actions identified and investigated during the period studied, the most important types of crimes against the environment were those against the fauna, with 65 criminal actions, followed by pollution crimes with 49 actions, and then , the crimes committed against the flora, with 46 criminal actions. Public spaces, highlighting free spaces and vegetated spaces, were identified as the ones most affected by actions to damage the environment, recording the highest number of occurrences
