Collaborative Research: Processes Determining the Abundance of Terrestrial Wildlife Communities Across Large Scales

合作研究：大规模确定陆地野生动物群落丰度的过程

• 批准号: 1232442
• 负责人: Roland Kays
• 金额: $ 83.69万
• 依托单位: Friends of the North Carolina State Museum of Natural Sciences
• 依托单位国家: 美国
• 项目类别: Standard Grant
• 财政年份: 2011
• 资助国家: 美国
• 起止时间: 2011-12-22 至 2016-07-31
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=1232442&HistoricalAwards=false
• 关键词: Collaborative; Research; Processes; Determining; Abundance

Understanding the processes determining abundance of terrestrial wildlife communities across large scales and estimating the abundance of wildlife across large areas remain a major challenge. For most species, the factors that regulate their distribution and yearly fluctuations in population size are unknown. This project takes advantage of the key innovation of using motion sensitive camera traps as a network of sensors for estimating animal abundance. This new approach can produce abundance data for any terrestrial animal greater than 100g, typically about 60% of the terrestrial animals in the eastern USA. Furthermore, the method is amenable to citizen science programs, without the biases or data quality issues typical of other programs, opening the possibility of a sustainable dense sampling effort across large areas. Software will be developed efficiently enter and to manage camera images and associated data. Using standardize field techniques citizens groups will sample their local wildlife communities with cameras. The resulting data will be analyzed using new multi-scale statistical models to discover the processes regulating wildlife abundance over large areas. Mapping the local abundance of wildlife populations across broad areas will be key to understanding the mechanisms responsible for changes resulting from land-management decisions and regional climate variation. By involving citizens in data collection this project will be helping local wildlife populations. All data and images will be made freely available online, providing a tool not only for scientists, but also to give the public a new window into the animal communities of their region.

了解确定大型陆地野生动植物社区的丰富性的过程，并估计大型地区的野生动植物的丰富度仍然是一个重大挑战。 对于大多数物种而言，调节其分布和人口规模每年波动的因素尚不清楚。 该项目利用了使用运动敏感摄像头陷阱作为传感器网络的关键创新，以估计动物丰度。这种新方法可以为大于100克的任何陆地动物产生丰富的数据，通常约60％的美国陆地动物。此外，该方法适合公民科学计划，而没有其他计划的偏见或数据质量问题，这为在大型地区提供了可持续的密集抽样工作的可能性。软件将有效地输入并管理相机图像和相关数据。使用标准化的现场技术，公民群体将使用摄像机对其当地的野生动植物社区进行品尝。将使用新的多尺度统计模型来分析所得数据，以发现调节大面积野生动植物丰度的过程。绘制跨广泛地区的野生动植物种群的局部丰富性将是理解负责土地管理决策和区域气候变化变化的机制的关键。通过让公民参与数据收集，该项目将帮助当地野生动植物种群。所有数据和图像都将在网上免费提供，不仅为科学家提供工具，还为公众提供了进入其地区动物社区的新窗口。