Coping with uncertainty: breeding adjustments to an unpredictable environment in an opportunistic raptor

生物 孵卵 人口 生态学 季节性繁殖者 人口模型 人口学 社会学
作者
Fabrizio Sergio,Julio Blas,Lidia M. López,Alessandro Tanferna,Ricardo Díaz-Delgado,José A. Donázar,Fernando Hiraldo
出处
期刊:Oecologia [Springer Science+Business Media]
卷期号:166 (1): 79-90 被引量:37
标识
DOI:10.1007/s00442-010-1795-x
摘要

No environment is truly constant in time. As a result, animals have evolved multiple adjustments to cope with such fluctuations. However, the allocation of effort to costly activities that imply long-term commitments, such as breeding, may be extremely challenging when future resources change constantly and unpredictably, a context that has received little investigation. To fill this gap, we studied the breeding response by a wetland-dependent raptor, the black kite Milvus migrans, to within and between-years fluctuations in resource availability (inundation levels). The breeding performance of the population was decomposed into reproductive components expressed in a sequence of successive tasks along the breeding cycle (e.g. timing of laying, clutch size, hatching success, brood reduction). Variation in each component was related to resource levels observed at different key dates of the season in order to test whether and when population-level reproduction was adjusted to available resources. Along a 22-year time-series, inundation levels fluctuated unpredictably within and among years, and mostly affected the later components of kites’ reproduction, such as hatching success and the incidence of brood reduction, which were the main determinants of the population yearly breeding output. Results were consistent with multiple adjustments to cope with uncertainty. As the season progressed and resources became easier to assess, a bet-hedging waiting strategy based on a conservatively small, invariant and asynchronous clutch gave way to real-time resource-tracking mechanisms mediated by progressive adjustments to current prey availability, so that population-level breeding rates were determined and tuned to resources rather late in the season. Such adjustments were the likely outcome of the interaction between parental tactics and environmental constraints. Behavioural flexibility, such as dietary opportunism, probably promoted further resistance to resource oscillations. Given that all ecosystems show some degree of unpredictability, resource-tracking adjustments, such as the ones depicted here, are likely to be commonplace in most communities.

科研通智能强力驱动
Strongly Powered by AbleSci AI
科研通是完全免费的文献互助平台,具备全网最快的应助速度,最高的求助完成率。 对每一个文献求助,科研通都将尽心尽力,给求助人一个满意的交代。
实时播报
ocean完成签到,获得积分10
刚刚
刚刚
qunliao完成签到,获得积分20
刚刚
2秒前
英姑应助Flora采纳,获得10
2秒前
3秒前
孙宏完成签到,获得积分20
4秒前
4秒前
现代秋白发布了新的文献求助30
4秒前
5秒前
qunliao发布了新的文献求助30
6秒前
xuan发布了新的文献求助10
6秒前
6秒前
英姑应助mojomars采纳,获得10
6秒前
安然无恙完成签到,获得积分10
7秒前
眯眯眼的太阳完成签到 ,获得积分10
8秒前
充电宝应助77采纳,获得10
9秒前
11秒前
xuan发布了新的文献求助10
11秒前
现代秋白完成签到,获得积分10
12秒前
13秒前
耍酷的大门完成签到,获得积分10
14秒前
聪慧的寄柔完成签到,获得积分10
14秒前
15秒前
16秒前
xuan发布了新的文献求助10
16秒前
16秒前
18秒前
个性笑白完成签到,获得积分10
19秒前
20秒前
xuan发布了新的文献求助10
21秒前
如意的醉蓝发布了新的文献求助100
22秒前
情怀应助LIKO采纳,获得10
23秒前
Ava应助leasmoss采纳,获得10
23秒前
宜醉宜游宜睡举报QQ求助涉嫌违规
24秒前
24秒前
xuan发布了新的文献求助10
26秒前
27秒前
cdercder应助老流氓采纳,获得30
27秒前
lalatrouble完成签到,获得积分10
29秒前
高分求助中
Markov Chain Monte Carlo 10000
(应助此贴封号)【重要!!请各用户(尤其是新用户)详细阅读】【科研通的精品贴汇总】 10000
Common Foundations of American and East Asian Modernisation: From Alexander Hamilton to Junichero Koizumi 5000
Pediatric Dermoscopy Trichoscopy & Onychoscopy 1000
悉尼大学博士学位论文,题目:Modelling and testing of one-sided stitched laminated composites. 作者:Kristopher P. Plain 700
Matrix Methods in Data Mining and Pattern Recognition Second Edition 610
Clinical effects of budesonide oxygen driving atomization on patients with chronic obstructive pulmonary disease at acute exacerbation phase 500
热门求助领域 (近24小时)
化学 材料科学 医学 生物 纳米技术 工程类 有机化学 化学工程 生物化学 计算机科学 内科学 物理 复合材料 催化作用 细胞生物学 无机化学 光电子学 物理化学 电极 基因
热门帖子
关注 科研通微信公众号,转发送积分 7569803
求助须知:如何正确求助?哪些是违规求助? 9149818
关于积分的说明 19568430
捐赠科研通 7155403
什么是DOI,文献DOI怎么找? 3263654
关于科研通互助平台的介绍 2429221
邀请新用户注册赠送积分活动 2253767