利用生态观测网络了解生物体。

IF 2.2 4区 生物学 Q2 BIOLOGY
Integrative Organismal Biology Pub Date : 2023-09-25 eCollection Date: 2023-01-01 DOI:10.1093/iob/obad036
B Dantzer, K E Mabry, J R Bernhardt, R M Cox, C D Francis, C K Ghalambor, K L Hoke, S Jha, E Ketterson, N A Levis, K M McCain, G L Patricelli, S H Paull, N Pinter-Wollman, R J Safran, T S Schwartz, H L Throop, L Zaman, L B Martin
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引用次数: 0

摘要

人类活动正在迅速改变世界各地的生态系统。这些变化对保护生物多样性、农业生产力、人畜共患疾病的流行和社会政治冲突具有广泛影响。为了理解和提高对这些和其他生物现象的预测能力,一些科学家现在依赖于观测网络,这些网络通常由传感器系统、实地研究人员团队以及跨多个时间和空间尺度的非生物和生物测量数据库组成。一个著名的例子是NEON,总部设在美国的国家生态观测网。尽管近地天体和类似的网络多年来一直为人口、社区和生态系统生态学的研究提供信息,但它们很少被生物生物学家使用。近地天体为生物体生物学家,特别是那些对近地天体焦点分类群感兴趣的生物学家,提供了一个前所未有的机会来研究范围扩大、疾病流行、入侵物种定植、宏观生理学和其他从根本上涉及生物体变异的生物过程等现象。在这里,我们使用近地天体作为观测网络的一个例子,以了解单个生物体之间形态、行为、分子和生理变化的原因和后果。
本文章由计算机程序翻译,如有差异,请以英文原文为准。

Understanding Organisms Using Ecological Observatory Networks.

Understanding Organisms Using Ecological Observatory Networks.

Understanding Organisms Using Ecological Observatory Networks.

Understanding Organisms Using Ecological Observatory Networks.

Human activities are rapidly changing ecosystems around the world. These changes have widespread implications for the preservation of biodiversity, agricultural productivity, prevalence of zoonotic diseases, and sociopolitical conflict. To understand and improve the predictive capacity for these and other biological phenomena, some scientists are now relying on observatory networks, which are often composed of systems of sensors, teams of field researchers, and databases of abiotic and biotic measurements across multiple temporal and spatial scales. One well-known example is NEON, the US-based National Ecological Observatory Network. Although NEON and similar networks have informed studies of population, community, and ecosystem ecology for years, they have been minimally used by organismal biologists. NEON provides organismal biologists, in particular those interested in NEON's focal taxa, with an unprecedented opportunity to study phenomena such as range expansions, disease epidemics, invasive species colonization, macrophysiology, and other biological processes that fundamentally involve organismal variation. Here, we use NEON as an exemplar of the promise of observatory networks for understanding the causes and consequences of morphological, behavioral, molecular, and physiological variation among individual organisms.

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来源期刊
CiteScore
3.70
自引率
6.70%
发文量
48
审稿时长
20 weeks
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