Experts and elephants: local ecological knowledge predicts landscape use for a species involved in human-wildlife conflict

Local ecological knowledge (LEK) has been increasingly invoked in biodiversity monitoring and conservation efforts. Although methods involving LEK have become more widespread in ecology, it remains an undervalued source of information in understanding the ecology of wildlife in the context of human-...

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Main Authors: Erin K. Buchholtz, Lee A. Fitzgerald, Anna Songhurst, Graham P. McCulloch, Amanda L. Stronza
Format: Article
Language:English
Published: Resilience Alliance 2020-12-01
Series:Ecology and Society
Subjects:
lek
Online Access:https://www.ecologyandsociety.org/vol25/iss4/art26/
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spelling doaj-9a687c863da54a079b595c7bf2d0aeb02021-04-13T12:27:27ZengResilience AllianceEcology and Society1708-30872020-12-012542610.5751/ES-11979-25042611979Experts and elephants: local ecological knowledge predicts landscape use for a species involved in human-wildlife conflictErin K. Buchholtz0Lee A. Fitzgerald1Anna Songhurst2Graham P. McCulloch3Amanda L. Stronza4Ecology & Evolutionary Biology Program, Texas A&M UniversityEcology & Evolutionary Biology Program, Texas A&M UniversityThe Ecoexist Project, Maun, BotswanaThe Ecoexist Project, Maun, BotswanaApplied Biodiversity Science Program, Texas A&M UniversityLocal ecological knowledge (LEK) has been increasingly invoked in biodiversity monitoring and conservation efforts. Although methods involving LEK have become more widespread in ecology, it remains an undervalued source of information in understanding the ecology of wildlife in the context of human-wildlife conflict. People who regularly interact with wildlife, and often with notable consequences, as is the case with human-wildlife conflict, will likely build up ecological knowledge of that species. We gathered LEK on the landscape use of the African elephant (Loxodonta Africana) in a region where its range overlaps with human land use and results in conflict, the western Okavango Panhandle of Botswana. We interviewed community-defined local experts and used participatory ranking activities to gather information on landscape use of elephants. The scores from the rankings were then incorporated with environmental data following resource selection function methods common in ecology. The resulting LEK-based model had high predictive ability for elephant locations when modeled at a local scale (25 km, Spearman's rho = 0.98, P < 0.0001). We also calculated resource selection models using elephant telemetry data combined with the same environmental data as the LEK models. These models showed a complementary pattern, with better predictive ability at the regional scale (Spearman's rho = 0.98, P < 0.0001) than at the local scale (rho = 0.92, P < 0.0031). In addition to being used for the resource selection functions, each method provided different kinds of information on elephant landscape use. Our results support the use of LEK as a tool for understanding local patterns of wildlife landscape use in the context of human-wildlife conflict, where the knowledge can be used to complement other data across scales and the use of which can itself contribute to better conservation outcomes.https://www.ecologyandsociety.org/vol25/iss4/art26/african elephantbotswanahuman-elephant conflictlekresource selection function
collection DOAJ
language English
format Article
sources DOAJ
author Erin K. Buchholtz
Lee A. Fitzgerald
Anna Songhurst
Graham P. McCulloch
Amanda L. Stronza
spellingShingle Erin K. Buchholtz
Lee A. Fitzgerald
Anna Songhurst
Graham P. McCulloch
Amanda L. Stronza
Experts and elephants: local ecological knowledge predicts landscape use for a species involved in human-wildlife conflict
Ecology and Society
african elephant
botswana
human-elephant conflict
lek
resource selection function
author_facet Erin K. Buchholtz
Lee A. Fitzgerald
Anna Songhurst
Graham P. McCulloch
Amanda L. Stronza
author_sort Erin K. Buchholtz
title Experts and elephants: local ecological knowledge predicts landscape use for a species involved in human-wildlife conflict
title_short Experts and elephants: local ecological knowledge predicts landscape use for a species involved in human-wildlife conflict
title_full Experts and elephants: local ecological knowledge predicts landscape use for a species involved in human-wildlife conflict
title_fullStr Experts and elephants: local ecological knowledge predicts landscape use for a species involved in human-wildlife conflict
title_full_unstemmed Experts and elephants: local ecological knowledge predicts landscape use for a species involved in human-wildlife conflict
title_sort experts and elephants: local ecological knowledge predicts landscape use for a species involved in human-wildlife conflict
publisher Resilience Alliance
series Ecology and Society
issn 1708-3087
publishDate 2020-12-01
description Local ecological knowledge (LEK) has been increasingly invoked in biodiversity monitoring and conservation efforts. Although methods involving LEK have become more widespread in ecology, it remains an undervalued source of information in understanding the ecology of wildlife in the context of human-wildlife conflict. People who regularly interact with wildlife, and often with notable consequences, as is the case with human-wildlife conflict, will likely build up ecological knowledge of that species. We gathered LEK on the landscape use of the African elephant (Loxodonta Africana) in a region where its range overlaps with human land use and results in conflict, the western Okavango Panhandle of Botswana. We interviewed community-defined local experts and used participatory ranking activities to gather information on landscape use of elephants. The scores from the rankings were then incorporated with environmental data following resource selection function methods common in ecology. The resulting LEK-based model had high predictive ability for elephant locations when modeled at a local scale (25 km, Spearman's rho = 0.98, P < 0.0001). We also calculated resource selection models using elephant telemetry data combined with the same environmental data as the LEK models. These models showed a complementary pattern, with better predictive ability at the regional scale (Spearman's rho = 0.98, P < 0.0001) than at the local scale (rho = 0.92, P < 0.0031). In addition to being used for the resource selection functions, each method provided different kinds of information on elephant landscape use. Our results support the use of LEK as a tool for understanding local patterns of wildlife landscape use in the context of human-wildlife conflict, where the knowledge can be used to complement other data across scales and the use of which can itself contribute to better conservation outcomes.
topic african elephant
botswana
human-elephant conflict
lek
resource selection function
url https://www.ecologyandsociety.org/vol25/iss4/art26/
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