TY - JOUR
T1 - Increasing the spatial and temporal impact of ecological research
T2 - A roadmap for integrating a novel terrestrial process into an Earth system model
AU - Kyker-Snowman, Emily
AU - Lombardozzi, Danica L.
AU - Bonan, Gordon B.
AU - Cheng, Susan J.
AU - Dukes, Jeffrey S.
AU - Frey, Serita D.
AU - Jacobs, Elin M.
AU - McNellis, Risa
AU - Rady, Joshua M.
AU - Smith, Nicholas G.
AU - Thomas, R. Quinn
AU - Wieder, William R.
AU - Grandy, A. Stuart
N1 - Publisher Copyright:
© 2021 The Authors. Global Change Biology published by John Wiley & Sons Ltd.
PY - 2022/1
Y1 - 2022/1
N2 - 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.
AB - 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.
KW - Earth system models
KW - collaborative bridging
KW - data-model integration
KW - global ecology
KW - history of models
KW - interdisciplinary workflow
KW - modeling across scales
UR - https://www.scopus.com/pages/publications/85117106308
U2 - 10.1111/gcb.15894
DO - 10.1111/gcb.15894
M3 - Article
C2 - 34543495
AN - SCOPUS:85117106308
SN - 1354-1013
VL - 28
SP - 665
EP - 684
JO - Global Change Biology
JF - Global Change Biology
IS - 2
ER -