Conflict resolution with noisy signaling: fat, color and social status in damselflies.

用噪音信号解决冲突：豆娘的脂肪、颜色和社会地位。

• 批准号: 9982203
• 负责人: Thomas Getty
• 金额: $ 15.01万
• 依托单位: Michigan State University
• 依托单位国家: 美国
• 项目类别: Standard Grant
• 财政年份: 2000
• 资助国家: 美国
• 起止时间: 2000-03-01 至 2005-02-28
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=9982203&HistoricalAwards=false
• 关键词: Conflict; resolution; noisy; signaling; fat

Signaling is important in conflict resolution. When signals are noisy and unreliable, negotiations are more likely to erupt into unnecessary fighting. This study will determine whether male black-winged damselflies (Calopteryx maculata) use unreliable signals to assess each other's fighting ability, and whether inaccurate assessment is an important cause of fighting. Fighting ability in male damselflies depends on fat reserves. Old lean males lose fights and are driven from their territories by young, fat challengers. Recent research discovered a subtle cue to fat reserves: color. Young, fat, males are slightly bluer than old, lean males. Color depends on how sunlight is reflected by the body of the damselfly and this changes with age and fat reserves. This study will use behavioral experiments to test whether the damselflies actually use this cue to assess each other, and determine the extent to which a noisy relationship between fat and color contributes to fighting. We will use reflectance spectrophotometry to measure color, electron microscopy to measure the reflector geometry and chemical assays to measure fat reserves. This data will help us to develop more realistic models of conflict resolution with unreliable signaling.

信号传递对于解决冲突很重要。 当信号嘈杂且不可靠时，谈判更有可能爆发为不必要的战斗。 这项研究将确定雄性黑翅豆娘（Calopteryx maculata）是否使用不可靠的信号来评估彼此的战斗能力，以及不准确的评估是否是战斗的重要原因。 雄性豆娘的战斗能力取决于脂肪储备。年老的瘦雄性会输掉战斗，并被年轻而肥胖的挑战者赶出自己的领地。 最近的研究发现了脂肪储备的一个微妙线索：颜色。 年轻、肥胖的雄性比年老、瘦的雄性颜色略蓝。 颜色取决于豆娘身体如何反射阳光，这会随着年龄和脂肪储备而变化。 这项研究将使用行为实验来测试豆娘是否真的使用这种暗示来相互评估，并确定脂肪和颜色之间的嘈杂关系在多大程度上导致打斗。 我们将使用反射分光光度法来测量颜色，使用电子显微镜来测量反射器的几何形状，并使用化学分析来测量脂肪储备。 这些数据将帮助我们开发更现实的冲突解决模型，以解决不可靠的信号。