3 datasets found
  1. d

    Year and state-wise number of human deaths due to tiger and elephant attacks...

    • dataful.in
    Updated May 2, 2025
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    Dataful (Factly) (2025). Year and state-wise number of human deaths due to tiger and elephant attacks [Dataset]. https://dataful.in/datasets/19542
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    xlsx, application/x-parquet, csvAvailable download formats
    Dataset updated
    May 2, 2025
    Dataset authored and provided by
    Dataful (Factly)
    License

    https://dataful.in/terms-and-conditionshttps://dataful.in/terms-and-conditions

    Area covered
    States of India
    Variables measured
    Number of human deaths
    Description

    The dataset comprises the yearwise and statewise number of human deaths due to elephant and tiger attacks. The data with respect to tiger attacks is in calendar year while that of elephant attacks is in financial year.

  2. d

    Data from: Elephant damage, not fire or rainfall, explains mortality of...

    • search.dataone.org
    • data.niaid.nih.gov
    • +1more
    Updated Apr 2, 2025
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    Thomas A. Morrison; Ricardo M. Holdo; T. Michael Anderson (2025). Elephant damage, not fire or rainfall, explains mortality of overstorey trees in Serengeti [Dataset]. http://doi.org/10.5061/dryad.sp72p
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    Dataset updated
    Apr 2, 2025
    Dataset provided by
    Dryad Digital Repository
    Authors
    Thomas A. Morrison; Ricardo M. Holdo; T. Michael Anderson
    Time period covered
    Nov 17, 2016
    Area covered
    Serengeti
    Description

    Generalizations about the drivers of tree demography in tropical savannahs continue to prove difficult because of the complex and dynamic interactions involved, and because multi-year datasets spanning meaningful gradients in potential drivers are lacking. Overstorey trees play disproportionate roles in the long-term dynamics and functioning of savannah ecosystems. Understanding demographic patterns in these trees is complicated by their resprouting ability after being top-killed and few studies have attempted to separate top-kill from true mortality events. We examined the interactive effects of fire frequency, mean annual precipitation and elephant herbivory on overstorey (>2m) tree mortality between 2009 and 2014 across 32 permanent vegetation plots in the Serengeti Ecosystem, Tanzania. Mean tree mortality over the study period was 0.28 ± 0.02 (0.07 yr−1). Among trees that were top-killed (19.1% of all individuals), 31.2% resprouted. Mortality was driven largely by elephant herbiv...

  3. n

    Human wildlife conflict in Shuklaphanta National Park

    • data.niaid.nih.gov
    • datadryad.org
    zip
    Updated Mar 24, 2023
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    Bindu Pant (2023). Human wildlife conflict in Shuklaphanta National Park [Dataset]. http://doi.org/10.5061/dryad.1zcrjdfwp
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    zipAvailable download formats
    Dataset updated
    Mar 24, 2023
    Dataset provided by
    Tribhuvan University
    Authors
    Bindu Pant
    License

    https://spdx.org/licenses/CC0-1.0.htmlhttps://spdx.org/licenses/CC0-1.0.html

    Area covered
    Shuklaphanta
    Description

    Human-wildlife interactions occur when humans and wildlife coexist and share common resources including food or shelter. Increasing wildlife populations within protected areas can also increase interactions with humans living adjacent to these areas, resulting in conflicts including human casualty, livestock depredation, crop damage, and property loss. We collected the data between 28 September 2021 to 8 January 2022. We analyzed six years of human-wildlife conflict data from 2016–2021 in the buffer zone of Shuklaphanta National Park and conducted a questionnaire survey to investigate factors influencing human-wildlife conflicts. The analyses were done using descriptive statistics and generalized linear modeling. People were attacked primarily by wild boar (Sus scrofa). Mostly, the livestock were killed by leopard (Panthera pardus), and among these most were sheep or goats killed near ShNP during summer. Crops were most frequently damaged by Asian elephants (Elephas maximus), followed by wild boar. The greatest economic losses were from damage to rice, followed by sugarcane and wheat. Asian elephant was the only reported species to cause structural damage to property (e.g., homes). The majority of respondents considered that the mitigation techniques that are currently in practice are effective to reduce conflicts. However, the effectiveness of the mitigation techniques is species-specific, and we recommend the use of more efficacious deterrents (e.g., electric fencing) for large herbivores and mesh wire fencing partially buried in the ground. Effective collaboration among different tiers of government, non-governmental organizations, civil societies, and affected communities is important to share the best practices and continue to apply innovative methods for impactful mitigation of human-wildlife conflicts in the region. The dataset contains this information for 300 households around Shuklaphanta National Park region. Methods The dataset was collected based on the questionnaire survey. Later, it was verified by the park officials and park datasets on human-wildlife conflict.

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Share
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Click to copy link
Link copied
Close
Cite
Dataful (Factly) (2025). Year and state-wise number of human deaths due to tiger and elephant attacks [Dataset]. https://dataful.in/datasets/19542

Year and state-wise number of human deaths due to tiger and elephant attacks

Explore at:
xlsx, application/x-parquet, csvAvailable download formats
Dataset updated
May 2, 2025
Dataset authored and provided by
Dataful (Factly)
License

https://dataful.in/terms-and-conditionshttps://dataful.in/terms-and-conditions

Area covered
States of India
Variables measured
Number of human deaths
Description

The dataset comprises the yearwise and statewise number of human deaths due to elephant and tiger attacks. The data with respect to tiger attacks is in calendar year while that of elephant attacks is in financial year.

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