Using Local Ecological Knowledge to Document Distribution and Temporal Patterns of Macrochelys temminckii in Texas

Pub Date : 2023-06-14 DOI:10.1656/058.022.0sp1211
Mandi Gordon, David R. Bontrager, Jason E. Watson, Terry Corbett, Carla Crawford, Carlyle Franklin, Bill Kirby, Eric C. Munscher, Viviana Ricardez, Arron Tuggle
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Abstract

Abstract - Long-term studies on long-lived species are rare, as is the case for the Alligator Snapping Turtle (Macrochelys temminckii). Here, we developed a database of historical accounts drawing spatial and temporal data from local ecological knowledge (LEK) and non-LEK sources. Across all sources, we compiled 215 spatial and 263 temporal records. To test applicability of LEK, we conducted field surveys at sites selected based on LEK accounts, non-LEK accounts, and habitat. Our surveys yielded occupancy rates of 66.7%, 68.8%, and 40%, respectively, while detectability models estimated proportion of occupied sites to be 58–77%. Catch per unit effort did not vary when compared to previous assessments in Texas. Turtles were most active from February to September. Incorporation of LEK when developing study designs will ultimately enhance communication between researchers and local experts.
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利用当地生态知识记录美国德克萨斯州大螯虾的分布和时间格局
摘要-对长寿物种的长期研究是罕见的,就像鳄鱼鳄龟(Macrochelys temminckii)的情况一样。在这里,我们开发了一个从当地生态知识(LEK)和非LEK来源提取时空数据的历史记录数据库。在所有来源中,我们编译了215条空间记录和263条时间记录。为了测试LEK的适用性,我们根据LEK帐户、非LEK帐户和生境选择了现场调查。我们的调查得出的入住率分别为66.7%、68.8%和40%,而可探测性模型估计的入住率为58-77%。与德克萨斯州以前的评估相比,单位努力的渔获量没有变化。海龟在2月至9月期间最为活跃。在制定研究设计时纳入LEK将最终加强研究人员与当地专家之间的沟通。
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