Shifts In The Conflict-Coexistence Continuum: Exploring Social-Ecological Determinants Of Human-Elephant Interactions
Malley, G. S.; Gorenflo, L.
Show abstract
In Morogoro Region of south-central Tanzania, loss of crops and safety concerns due to elephants compromises livelihoods in many rural communities relying on subsistence agriculture. Using a social-ecological system framework to examine conflict-coexistence between people and elephants, this paper explores drivers that influence human-elephant interaction and subsistence farmer attitudes towards elephants in 10 villages from three different districts. Surveys and interviews document experiences interacting with elephants along with direct and indirect costs incurred in sharing the landscape, revealing different tolerance levels by residents of subject communities towards elephants that have important implications for elephant conservation. Rather than uniformly negative beliefs about elephants, analyses reveal that over the past decade a shift has occurred from largely favorable to unfavorable. The variables influencing attitudes included amounts of crops lost to elephants, perceived benefits from elephants, amounts of crops lost to other causes, perceived trend of human-elephant conflict (HEC) in the past three decades and level of education. Villager tolerance varied by level of income, perception on how the community coexists with elephants, amounts of crops lost to elephants and compensation. The study contributes to understanding how HEC is affecting the relationship between people and elephants, revealing a shift in the conflict-coexistence continuum from positive to broadly negative and identifying characteristics underlying varying tolerance towards elephants in different communities. Rather than a static condition, HEC emerges under specific conditions at particular times and places through varying, uneven interactions between rural villagers and elephants. In communities vulnerable to food insecurity, such conflict exacerbates existing problems of poverty, social inequality, and feelings of oppression. Addressing the causes of HEC, when possible, will be essential to elephant conservation as well as to improving the wellbeing of rural villagers.
Matching journals
The top 1 journal accounts for 50% of the predicted probability mass.
Similar papers in this journal
- Risk practices for bovine tuberculosis transmission to cattle and livestock farming communities living at wildlife-livestock-human interface in northern KwaZulu Natal, South Africa 96%
- Assessing the knowledge, attitudes, practices, and perspectives of stakeholders of the deworming program in rural Rwanda 95%
- Knowledge and Awareness of Bovine Tuberculosis Associated with Raw Milk and Under-Cooked Meat Contamination Among Cattle Farmers in Selected Parts of Zambia 94%
Similar papers in this journal
- Pastoral (im)mobility and zoonotic disease: a qualitative participatory study in Plateau State, Nigeria 96%
- “We are their eyes and ears here on the ground, yet they do not appreciate us” - Factors influencing the performance of Kenyan community health volunteers working in urban informal settlements 96%
- Caregivers’ perception of risk for malaria, helminth infection and malaria-helminth co-infection among children living in urban and rural settings of Senegal: a qualitative study 95%
Similar papers in this journal
- Climate influences scrub typhus occurrence in Vellore, Tamil Nadu, India: Analysis of a 15 year dataset 93%
- Developing snakebite risk model using venomous snake habitat suitability as an indicating factor: An application of species distribution models in public health research 92%
- Asian elephants (Elephas maximus) recognise human visual attention from body and face orientation 92%
Similar papers in this journal
- Education influences knowledge about environmental issues in Washington, DC, USA 94%
- Urban Vulnerability Assessment for Pandemic surveillance: The COVID-19 case in Bogotá, Colombia 91%
- The effects of biodegradable mulch film on the growth, yield, and water use efficiency of cotton and maize in an arid region 90%
"Similar papers" are the closest papers from that journal in the model's embedding space. They show what the match is built on, but the ranking comes mostly from a classifier over the whole training set, not from these examples alone.