Increasing the spatial and temporal impact of ecological research: A roadmap for integrating a novel terrestrial process into an Earth system model.
Increasing the spatial and temporal impact of ecological research: A roadmap for integrating a novel terrestrial process into an Earth system model.
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增加生态研究的空间和时间影响：将新型陆地过程整合到地球系统模型中的路线图。
DOI：
10.1111/gcb.15894
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发表时间：
2022-01
影响因子：
11.6
通讯作者：
中科院分区：
文献类型：
--
作者：
陆地生态系统通过水、能量和生物地球化学变化来调节地球气候。尽管陆地生态在调节地球系统方面发挥了关键作用，但在用于理解和预测全球环境变化的地球系统模型(ESM)中，陆地生态历来没有得到充分的代表。必须将生态学和地球系统模型结合起来，使科学家能够充分理解生态系统在推动和应对全球变化方面的作用。生态洞察可以改善ESM的现实主义，减少过程的不确定性，而ESM为生态学家提供了一个广泛测试生态理论的机会，并通过在时间和空间中扩展概念来增加他们工作的影响。尽管存在这种互惠关系，但将两者有意义地结合起来仍然是一个长期的挑战，部分原因是在将过程转化为数学公式以及确定将新理论和代码整合到大型、复杂的模型结构中的方法方面存在后勤障碍。为了帮助克服这种跨学科的挑战，我们提出了一个框架，由一系列相互关联的阶段组成，用于将新的生态过程或洞察力整合到ESM中。首先，我们强调了生态观察和建模迭代地相互加强的多种方式，消除了生态学家的角色随着最初提供的数据而结束的错觉。其次，我们表明，许多有价值的见解、产品和理论发展都是通过经验主义者和建模者之间持续的跨学科合作产生的，无论过程最终是否包含在ESM中。最后，我们提供了具体的行动和资源，以促进数据模型集成的每个阶段的学习和协作。这一框架将产生协同效应，将改变我们对地球系统内生态的理解，最终提高我们对全球环境变化的理解，并扩大生态研究的影响。在用于理解和预测全球环境变化的地球系统模型(ESM)中，陆地生态历来没有得到充分的代表。生态-ESM整合中流行的现有范式将任务沿着学科线分开。我们建议一套新的生态-ESM整合步骤，从这种历史范式转向更具协作性的范式，在这种范式中，经验学家和模型师在数据收集、理论发展和模型集成的每个阶段都参与共同生产知识。
Terrestrial ecosystems regulate Earth's climate through water, energy, and biogeochemical transformations. Despite a key role in regulating the Earth system, terrestrial ecology has historically been underrepresented in the Earth system models (ESMs) that are used to understand and project global environmental change. Ecology and Earth system modeling must be integrated for scientists to fully comprehend the role of ecological systems in driving and responding to global change. Ecological insights can improve ESM realism and reduce process uncertainty, while ESMs offer ecologists an opportunity to broadly test ecological theory and increase the impact of their work by scaling concepts through time and space. Despite this mutualism, meaningfully integrating the two remains a persistent challenge, in part because of logistical obstacles in translating processes into mathematical formulas and identifying ways to integrate new theories and code into large, complex model structures. To help overcome this interdisciplinary challenge, we present a framework consisting of a series of interconnected stages for integrating a new ecological process or insight into an ESM. First, we highlight the multiple ways that ecological observations and modeling iteratively strengthen one another, dispelling the illusion that the ecologist's role ends with initial provision of data. Second, we show that many valuable insights, products, and theoretical developments are produced through sustained interdisciplinary collaborations between empiricists and modelers, regardless of eventual inclusion of a process in an ESM. Finally, we provide concrete actions and resources to facilitate learning and collaboration at every stage of data‐model integration. This framework will create synergies that will transform our understanding of ecology within the Earth system, ultimately improving our understanding of global environmental change, and broadening the impact of ecological research. Terrestrial ecology has historically been underrepresented in the Earth system models (ESMs) that are used to understand and project global environmental change. The prevalent existing paradigm in ecology–ESM integration separates tasks along disciplinary lines. We recommend a new set of steps for ecology–ESM integration that shifts away from this historical paradigm toward a more collaborative one in which empiricists and modelers are involved in coproducing knowledge at every stage of data collection, theory development, and model integration.
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