Predicting bushmeat biomass from species composition captured by camera traps: Implications for locally based wildlife monitoring

Predicting bushmeat biomass from species composition captured by camera traps: Implications for locally based wildlife monitoring
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根据相机陷阱捕获的物种组成预测森林猎物生物量:对当地野生动物监测的影响

DOI:
10.1111/1365-2664.14257
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发表时间:
2022
影响因子:
5.7
通讯作者:
Yasuoka Hirokazu
Yasuoka Hirokazu
中科院分区:
环境科学与生态学1区
文献类型:
--
作者:
Hongo Shun;Dzefack Zeun’s C. B.;Vernyuy Latar N.;Minami Sosuke;Mizuno Kaori;Otsuka Ryoma;Hiroshima Yukiko;Dji?to‐Lordon Champlain;Nakashima Yoshihiro;Yasuoka Hirokazu

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面对肉食危机,热带森林需要有效的监测,以实现可持续的野生动物管理。为了获得当地人民和保护官员的信任,监测需要符合当地知识和预测可用的动物资源的指标,本研究探讨了预测指标的食肉动物生物量的五个主要的狩猎哺乳动物的总生物量在一个热带雨林。我们采用相机诱捕和随机相遇和停留时间(REST)模型来估计每个物种的种群密度和肉食生物量在三个地点的空间变异。然后,我们计算了6个指标,从相机陷阱捕获率估计和评估其预测性能的总的野生measurement.Duikers一般增加与距离,从公共道路,但两个红色的小羚羊物种更明显的影响比蓝色小羚羊的距离。刷尾豪猪和艾明袋鼠的空间密度模式在不同地点之间存在差异。在6个指标中,R/B比(红-蓝小羚羊比)和D/R比(小羚羊-啮齿动物比)与所有地点的牦牛肉生物量均呈线性正相关。在R/B比中,各站点之间的相关线中等程度相似,但在D/R比中差异很大,这表明后者不适合相邻社区之间共享信息。在样本量相当大的情况下,基于捕获动物组成的这两个指标可以有效地预测肉食狩猎的主要目标物种的总生物量。建议将R/B比率(红小羚羊/蓝小羚羊)作为首选;当信息共享不必要时,D/R比率(小羚羊/啮齿动物)可能是一个很好的替代方案。由于当地猎人知道捕获动物的物种组成中与耗竭相关的变化,这些指数可以有效地纳入以社区为基础的野生动物监测。
Facing the bushmeat crisis, tropical forests require effective monitoring for sustainable wildlife management. To gain credibility with local people and conservation officials, the monitoring needs indicators that comply with local knowledge and predict the available faunal resources.This study explores predictive indicators for bushmeat biomass—the total biomass of five main hunted mammals—in a Cameroonian rainforest. We employed camera trapping and the Random Encounter and Staying Time (REST) model to estimate the spatial variation in each species' population density and bushmeat biomass at three sites. We then calculated six indicators from camera‐trap capture rate estimates and assessed their predictive performance for the total wild meat amount.Duikers generally increased with distance from the public road, but two red duiker species were more markedly affected by the distance than blue duikers. Spatial density patterns of brush‐tailed porcupines and Emin's pouched rats differed between sites. Consequently, bushmeat biomass displayed exponential growth away from the road with varying degrees among the sites.Of the six indicators, the R/B ratio (red‐to‐blue duiker ratio) and the D/R ratio (duiker‐to‐rodent ratio) exhibited positive linear‐like correlations to bushmeat biomass at all sites. The correlation lines were moderately similar across sites in the R/B ratio but largely different in the D/R ratio, suggesting that the latter is unsuitable for sharing information between neighbouring communities.Synthesis and applications. The two indicators based on captured animal composition may effectively predict the total biomass of the main target species for bushmeat hunting, given a reasonably large sample size. The R/B ratio (red duikers/blue duikers) is recommended as a first choice; the D/R ratio (duikers/rodents) can be a good alternative when information sharing is not essential. Because local hunters are aware of depletion‐related changes in species composition of caught animals, these indices may be effectively incorporated into community‐based wildlife monitoring.
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