A ciência que estãoajudando pesquisadores a encontrar os 'desaparecidos' na Amanãrica Latina
Na maioria dospaíses latino-americanos onde houve um altonívelde conflito civil nas últimas décadas, ainda háum grande número de pessoas desaparecidas devido a desaparecimentos forçados. Sa³ na Cola´mbia esse número é...
![](data:image/jpeg;base64,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)
Os autores caminham a cavalo (com equipamento) pela floresta tropical atéum local de sepultamento em massa dos anos 1980 no terreno de uma escola de montanha abandonada. Autor fornecido
Na maioria dospaíses latino-americanos onde houve um altonívelde conflito civil nas últimas décadas, ainda háum grande número de pessoas desaparecidas devido a desaparecimentos forçados. Somente na Cola´mbia, esse número éestimado em mais de 120.000 pessoas após cinco décadas de insurgência amarga. Muitos milhares de outros desapareceram no Manãxico, Argentina, Chile, El Salvador e Guatemala.
A busca por restos humanos na Amanãrica do Sul éum grande desafio, que muitas vezes éconsequaªncia dos locais remotos utilizados, do terreno de busca inóspito e do tempo decorrido desde o desaparecimento da pessoa, que pode ser superior a 40 anos.
Tentar localizar vitimas éum processo muito especafico para cada caso osdepende muito de como, quando, onde e por que cada vatima foi morta e quem as matou. Como os governos muitas vezes não estãodispostos a procurar corpos, muitas vezes coube a pesquisadores como nosfazaª-lo.
A estratanãgia geralmente aceita para procurar restos mortais em terra ou debaixo d' águaéuma investigação em fases de uma área suspeita de ter sido usada para enterros. Geralmente, esses são lugares onde não épossível simplesmente entrar e comea§ar a cavar osprimeiro énecessa¡rio reunir as evidaªncias que dariam um forte argumento legal para obter permissão oficial.
A investigação comea§a a partir de informações ba¡sicas disponíveis e informações de satanãlite para procurar pistas sobre onde os corpos podem estar enterrados. As equipes de solo fazem estudos controlados que geralmente envolvem enterrar cada¡veres de porcos como representantes de humanos, o que por longos períodos de tempo permite que eles obtenham informações sobre como o solo naquela área pode ter respondido aos enterros humanos. Isso permite que eles identifiquem locais na área de sepultamento suspeito que tenham caracteristicas de solo semelhantes, ponto em que podem fazer levantamentos completos do solo seguidos de investigações mais intrusivas.
A pesquisa dos coautores de Keele, com colegas espanha³is da Universidade de Oviedo, usou essas técnicas para localizar com sucesso em 2016 os restos mortais de 26 vitimas que foram enterradas na década de 1930 em uma regia£o montanhosa da provancia de Astaºrias, no norte da Espanha, durante a guerra civil espanhola . guerra . Mais recentemente, uma organização chamada Equipe Argentina de Antropologia Forense , originalmente criada para procurar vitimas desaparecidas naquelepaís, investigou outros conflitos sul-americanos e recuperou os restos de vitimas de um assassinato em massa em 1981 em El Salvador usando técnicas semelhantes.
Reunindo evidencias
Â
Em um estudo controlado, os pesquisadores identificam locais de teste que podem ser semelhantes aos encontrados por investigadores forenses durante a busca por vitimas de assassinato. Eles então replicam o que pode ser encontrado pelas equipes de busca, por exemplo, simulam vitimas de assassinato em vários cenários de enterro.
Embora a maioria dos pesquisadores use porcos como representantes de cada¡veres humanos, alguns usam corpos doados onde as leis permitem (não no Reino Unido no momento). Os porcos são geralmente usados ​​porque são de tamanho semelhante aos humanos e tem proporções de tecido corporal, gordura, tamanhos de órgãos e tipos de pele compara¡veis.
Esses locais de teste são então pesquisados ​​para descobrir o melhor manãtodo para detectar corpos nesse tipo de ambiente. Isso estãorelacionado ao fato de que, com o tempo, os corpos se decompõem e liberam fluidos. Eles se tornam esqueletos e o solo sobrejacente se compacta.
O diagrama abaixo mostra diferentes esta¡gios de uma sepultura clandestina de uma vatima de assassinato, com a) mostrando um enterro recente que simplesmente caminhar sobre o local poderia identificar, b) decomposição em esta¡gio inicial que libera gases detecta¡veis ​​por ca£es de busca, c) esta¡gio final decomposição que libera fluidos condutores detecta¡veis ​​por um levantamento de resistividade elanãtrica e, d) esta¡gio esqueletizado, melhor detectado por radar de penetração no solo (GPR).
Nossa equipe de pesquisa montou locais de teste controlados no campus das universidades Los Llanos e Antonio Nariňo na Cola´mbia, que possuem diferentes ambientes tropicais, rurais e de campo. Simulamos enterros usando carcaças de porcos em vários tipos diferentes de enterros. Alguns foram desmembrados, alguns vestidos, outros despidos. Estes, infelizmente, são todos cenários comuns de enterro na Cola´mbia.
Uma vez criadas, as covas simuladas contendo as carcaças dos porcos foram reabastecidas e monitoradas por mais de dois anos. O monitoramento incluiu levantamentos aanãreos usando ca¢meras e equipamentos detectores especializados em drones não tripulados. Tambanãm realizamos levantamentos geofasicos do solo usando resistividade elanãtrica , que mede as resistências de corrente no solo com fluidos de decomposição sendo um excelente alvo geofasico osmostrado abaixo ose GPR que detecta objetos enterrados.
A partir dos resultados dos drones , encontramosmudanças na vegetação que indicavam posições de sepulturas recentes se não estivessem sob as copas densas da floresta. Diferentes plantas também cresceram sobre os sepultamentos quando comparadas a s plantas tipicas da floresta, então elas poderiam indicar onde os corpos estãolocalizados se as equipes de busca soubessem o que estavam procurando.
Os resultados geofasicos para o local de teste mostraram que os levantamentos de resistividade elanãtrica poderiam detectar melhor as posições de sepultamento. Mas com o passar do tempo desde o enterro, essa técnica ficou progressivamente menos eficaz como técnica de detecção de taºmulos (isso foi demonstrado em vários estudos controlados europeus publicados ). Curiosamente, um padrãode grade de pesquisa relativamente pequeno foi considerado o melhor, devido aos tamanhos menores de sepultamento de vitimas desmembradas.
Pesquisas de montanha
Um estudo de caso recentemente publicado pelos coautores sobre encontrar pessoas desaparecidas na Cola´mbia a partir da década de 1980 ilustra as dificuldades em encontrar e pesquisar locais de sepultamento em terrenos difaceis de busca.
O local de estudo montanhoso, em uma escola de treinamento abandonada na provancia de Casanare, no centro da Cola´mbia, foi identificado como um local de sepultamento em potencial. Os pesquisadores usaram uma combinação de locais conhecidos de treinamento criminoso e paramilitar, locais de bases militares, relatórios policiais anteriores e informações de busca, bem como testemunhos contempora¢neos e atividades de madia social do indivaduo desaparecido com locais marcados.
As pesquisas geofasicas de resistividade elanãtrica e GPR, com subsequentes investigações intrusivas das anomalias geofasicas visadas, localizaram com sucesso enterros contendo restos mortais, mas estes foram encontrados como animais e não humanos.
Essa pesquisa colaborativa contanua de locais de testes controlados e pesquisas forenses serácrucial, não apenas para ospaíses da Amanãrica Latina, mas também para os investigadores forenses que buscam restos de vitimas em todo o mundo.