Demographic consequences of harvesting: a case study from a small and isolated moose population

IF 1.2 4区 地球科学 Q4 ENVIRONMENTAL SCIENCES Climate Research Pub Date : 2021-07-15 DOI:10.3354/CR01650
I. Herfindal, A. Lee, S. Hamel, E. Solberg, B. Sæther
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引用次数: 1

Abstract

Harvesting can have a substantial impact on population dynamics and individual performance in wild populations. While the direct consequences of harvest on individual survival and population growth rate are often apparent, harvesting can also have indirect and more subtle demographic consequences. Disentangling these consequences, however, requires in-depth knowledge of individual life histories of both females and males in the population. Here, we summarise demographic research on a population where such data exist: the Vega moose population in northern Norway. In this population, vital rates vary considerably among both females and males, and harvesting increases this variation by generating positive covariation between reproductive performance and survival. The skewed age and sex structure, which is typical of many harvested populations, also has demographic consequences: it reduces the ratio of effective to total population size and influences variation in vital rates in males and females. The moose harvest at Vega is structured by age- and sex-specific quotas, but it is not intentionally selective regarding size or other phenotypic characteristics. Still, harvest selection for earlier birth rates and larger calves was apparent, likely due to habitat-performance relationships and habitat-specific harvest mortality. Together, the bulk of research on this population shows that harvesting impacts population demography through many different pathways, with some being more subtle than others. These complex pathways influence the demographic variance and affect stochastic processes such as population growth, genetic drift, and rates of evolutionary change, and they must therefore be acknowledged in management plans to achieve sustainable harvesting.
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收获的人口统计后果:一个小而孤立的驼鹿种群的案例研究
收获对野生种群的种群动态和个体表现有重大影响。虽然收获对个体生存和人口增长率的直接影响往往是显而易见的,但收获也可能产生间接和更微妙的人口影响。然而,要弄清这些结果,需要对种群中男女个体的生活史有深入的了解。在这里,我们总结了一个种群的人口统计研究,这些数据存在:挪威北部的维加驼鹿种群。在这一种群中,雌性和雄性的存活率差异很大,而采伐通过在繁殖性能和存活率之间产生正共变而增加了这种差异。年龄和性别结构的倾斜是许多收获人口的典型特征,它也会产生人口方面的后果:它降低了有效人口与总人口的比例,并影响了男性和女性生命率的变化。维加驼鹿的收获是根据年龄和性别特定的配额进行的,但它并不是故意选择大小或其他表型特征。尽管如此,较早的出生率和较大的小牛的收获选择是明显的,可能是由于栖息地-性能关系和栖息地特定的收获死亡率。总的来说,对这一人口的大量研究表明,采收通过许多不同的途径影响人口统计,其中一些途径比其他途径更微妙。这些复杂的途径影响人口变化和随机过程,如人口增长、遗传漂变和进化变化率,因此必须在管理计划中予以承认,以实现可持续收获。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
Climate Research
Climate Research 地学-环境科学
CiteScore
2.90
自引率
9.10%
发文量
25
审稿时长
3 months
期刊介绍: Basic and applied research devoted to all aspects of climate – past, present and future. Investigation of the reciprocal influences between climate and organisms (including climate effects on individuals, populations, ecological communities and entire ecosystems), as well as between climate and human societies. CR invites high-quality Research Articles, Reviews, Notes and Comments/Reply Comments (see Clim Res 20:187), CR SPECIALS and Opinion Pieces. For details see the Guidelines for Authors. Papers may be concerned with: -Interactions of climate with organisms, populations, ecosystems, and human societies -Short- and long-term changes in climatic elements, such as humidity and precipitation, temperature, wind velocity and storms, radiation, carbon dioxide, trace gases, ozone, UV radiation -Human reactions to climate change; health, morbidity and mortality; clothing and climate; indoor climate management -Climate effects on biotic diversity. Paleoecology, species abundance and extinction, natural resources and water levels -Historical case studies, including paleoecology and paleoclimatology -Analysis of extreme climatic events, their physicochemical properties and their time–space dynamics. Climatic hazards -Land-surface climatology. Soil degradation, deforestation, desertification -Assessment and implementation of adaptations and response options -Applications of climate models and modelled future climate scenarios. Methodology in model development and application
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