...
首页> 外文期刊>Ecological indicators >Citizen science data facilitate monitoring of rare large carnivores in remote montane landscapes
【24h】

Citizen science data facilitate monitoring of rare large carnivores in remote montane landscapes

机译:公民科学数据有助于监视偏远山区的稀有大型食肉动物

获取原文
获取原文并翻译 | 示例
   

获取外文期刊封面封底 >>

       

摘要

Population monitoring of large carnivores, particularly in remote montane landscapes, represents a considerable conservation challenge. Occupancy modeling using repeated detectionon-detection surveys offers a practical and robust tool for assessments of this type. Sign surveys or photographic detections have been the two primary survey methods to inform occupancy models. However, these approaches are expensive to implement and resource-intensive. Thus, their applicability for assessing the distribution of rare large carnivores residing in inaccessible landscapes is limited, particularly when large scale species monitoring is desired. Here, our intent was to predict the occupancy of the endangered Persian leopard (Panthera pardus saxicolor) inhabiting the rugged mountains of northeastern Iran. Using a Bayesian occupancy modeling framework, we compared patterns of leopard occupancy derived from standardized monitoring data implemented using spatially-replicated sign surveys to those informed by citizen scientist observations. We found that leopard occupancy probability was comparable between the two survey methods (sign survey = 0.92, 95% CI 0.85–1 and citizen science = 0.94, 95% CI 0.88–1) though detection probability varied (sign survey = 0.52, 95% CI 0.46–0.58 and citizen science = 0.25, 95% CI 0.18–0.32). The magnitude of effect among the environmental covariates that predicted leopard occupancy probability was also similar for the two methods. Thus, while yielding comparable predictions, the citizen science approaches were half the cost of sign surveys. The implementation of the effective citizen scientist data enabled us to expand by two-fold the monitored area while halving the costs in comparison to the area investigated via sign surveys. Our paper demonstrates that citizen science surveys represent a cost-effective, reliable, and surprisingly overlooked means to efficiently assess occupancy, particularly for rare large carnivores inhabiting mountainous landscapes.
机译:大型食肉动物的种群监测,特别是在偏远的山地景观中,是一项巨大的保护挑战。使用重复检测/非检测调查的居住模型为此类评估提供了实用而强大的工具。标志调查或摄影检测已成为告知居住模式的两种主要调查方法。但是,这些方法实施起来昂贵且资源密集。因此,它们在评估生活在无法接近的景观中的稀有大型食肉动物的分布的适用性有限,特别是在需要大规模物种监测时。在这里,我们的目的是预测居住在伊朗东北崎mountains山脉上的濒临灭绝的波斯豹(Panthera pardus saxicolor)的占有率。使用贝叶斯占用模型框架,我们比较了通过使用空间复制符号调查实施的标准化监测数据得出的豹子占用情况与公民科学家观察到的那些情况。我们发现,尽管检出概率有所不同(符号调查(= 0.52,95%),两种调查方法(符号调查= 0.92,95%CI 0.85-1和公民科学= 0.94,95%CI 0.88-1)之间的豹子占用概率相当。 CI 0.46-0.58和公民科学= 0.25,95%CI 0.18-0.32)。两种方法在预测豹子占用概率的环境协变量之间的影响程度也相似。因此,在得出可比较的预测的同时,公民科学方法仅是符号调查成本的一半。与公民调查数据相比,有效的公民科学家数据的实施使我们能够将受监控区域扩大两倍,同时将成本降低一半。我们的论文表明,公民科学调查代表了一种经济有效,可靠且被意外忽略的手段,可以有效地评估占用率,特别是对于居住在山区的稀有大型食肉动物。

著录项

相似文献

  • 外文文献
  • 中文文献
  • 专利
获取原文

客服邮箱:kefu@zhangqiaokeyan.com

京公网安备:11010802029741号 ICP备案号:京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有
  • 客服微信

  • 服务号