Comparing interview methods with camera trap data to inform occupancy models of hunted mammals in forest habitats

Comparing interview methods with camera trap data to inform occupancy models of hunted mammals in forest habitats
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将访谈方法与相机陷阱数据进行比较,以了解森林栖息地中被猎杀的哺乳动物的占用模型

DOI:
10.1111/csp2.12637
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发表时间:
2022
影响因子:
3.1
通讯作者:
Brittain S
Brittain S
中科院分区:
环境科学与生态学3区
文献类型:
--
作者:
Brittain S

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与传统监测方法在不同背景下的估计相比,很少有研究明确评估由当地居民提供信息的入住率分析的稳健性和实用性。这项研究基于相机陷阱数据和两种本地信息方法:季节性访谈和猎人日记,评估了用于监测喀麦隆东南部13种被猎杀的哺乳动物物种的占有率模型的有效性和稳健性。我们对可探测性和占有率的估计进行三角测量,以评估它们对不同物种的估计的精确度和可比性,以及它们的成本。在11个现有病例中,有7个的相机陷阱估计值与当地知情方法的估计值相当,但对两个村庄的所有物种的检测概率都是最低的。虽然相机陷阱为高探测概率的丰富物种提供了稳健的估计,但本地通知的方法可以提供与相机陷阱估计相当的占有率估计,但成本要低得多。它们在相机陷阱检测率(P)太低而无法产生稳健的占有率模型估计时特别有用,特别是对于稀有或神秘的物种。可以监测的方法、调查工作和动物在不同的村庄有所不同。因此,在监测开始之前应加以考虑,以确保采用最有效和最有见地的办法。
Few studies explicitly assess the robustness and practicality of occupancy analysis informed by local inhabitants, compared to estimates from conventional monitoring methods within different contexts. This study evaluates the efficacy and robustness of occupancy models based on camera trap data, and two locally informed methods: seasonal interviews and hunter diaries, for monitoring 13 hunted mammal species in south‐eastern Cameroon. We triangulate estimates of detectability and occupancy to assess the precision and comparability of their estimates for different species, and their cost. Camera trap estimates are comparable with estimates from locally informed methods in 7 of 11 available cases, but produced the lowest detection probabilities for all species in both villages. While camera traps provide robust estimates for abundant species with a high detection probability, locally informed methods can provide estimates of occupancy comparable to camera trap estimates, but at significantly less cost. They are particularly useful where camera trap detection rates (p) are too low to produce robust occupancy model estimates, notably for rare or cryptic species. The methods, survey effort and animals that can be monitored robustly vary between villages. As such, consideration should be given before monitoring commences to ensure that the most effective and informative approach is used.
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