Abstract
Scaling is a naturally iterative and bi-directional component of problem solving in ecology and in climate science. Ecosystems and climate systems are unquestionably the sum of all their parts, to the smallest imaginable scale, in genomic processes or in the laws of fluid dynamics. However, in the process of scaling-up, for practical purposes the whole usually has to be construed as a good deal less than this. This essay demonstrates how controlled large-scale experiments can be used to deduce key mechanisms and thereby reduce much of the detail needed for the process of scaling-up. Collection of the relevant experimental evidence depends on controlling the environment and complexity of experiments, and on applications of technologies that report on, and integrate, small-scale processes. As the role of biological feedbacks in the behavior of climate systems is better appreciated, so the need grows for experimentally based understanding of ecosystem processes. We argue that we cannot continue as we are doing, simply observing the progress of the greenhouse gas-driven experiment in global change, and modeling its future outcomes. We have to change the way we think about climate system and ecosystem science, and in the process move to experimental modes at larger scales than previously thought achievable.
| Original language | English (US) |
|---|---|
| Pages (from-to) | 393-407 |
| Number of pages | 15 |
| Journal | Global Change Biology |
| Volume | 10 |
| Issue number | 4 |
| DOIs | |
| State | Published - Apr 2004 |
| Externally published | Yes |
Fingerprint
Keywords
- Biosphere 2 laboratory
- Chlorophyll flourescence
- Coral reefs
- Experimental ecosystem science
- Global change
- Stable isotopes
ASJC Scopus subject areas
- Environmental Science(all)
- Ecology
- Environmental Chemistry
- Global and Planetary Change
Cite this
Changing the way we think about global change research : Scaling up in experimental ecosystem science. / Osmond, Barry; Ananyev, Gennady; Berry, Joseph; Langdon, Chris; Kolber, Zbigniew; Lin, Gunghui; Monson, Russell; Nichol, Caroline; Rascher, Uwe; Schurr, Uli; Smith, Stan; Yakir, Dan.
In: Global Change Biology, Vol. 10, No. 4, 04.2004, p. 393-407.Research output: Contribution to journal › Article
}
TY - JOUR
T1 - Changing the way we think about global change research
T2 - Scaling up in experimental ecosystem science
AU - Osmond, Barry
AU - Ananyev, Gennady
AU - Berry, Joseph
AU - Langdon, Chris
AU - Kolber, Zbigniew
AU - Lin, Gunghui
AU - Monson, Russell
AU - Nichol, Caroline
AU - Rascher, Uwe
AU - Schurr, Uli
AU - Smith, Stan
AU - Yakir, Dan
PY - 2004/4
Y1 - 2004/4
N2 - Scaling is a naturally iterative and bi-directional component of problem solving in ecology and in climate science. Ecosystems and climate systems are unquestionably the sum of all their parts, to the smallest imaginable scale, in genomic processes or in the laws of fluid dynamics. However, in the process of scaling-up, for practical purposes the whole usually has to be construed as a good deal less than this. This essay demonstrates how controlled large-scale experiments can be used to deduce key mechanisms and thereby reduce much of the detail needed for the process of scaling-up. Collection of the relevant experimental evidence depends on controlling the environment and complexity of experiments, and on applications of technologies that report on, and integrate, small-scale processes. As the role of biological feedbacks in the behavior of climate systems is better appreciated, so the need grows for experimentally based understanding of ecosystem processes. We argue that we cannot continue as we are doing, simply observing the progress of the greenhouse gas-driven experiment in global change, and modeling its future outcomes. We have to change the way we think about climate system and ecosystem science, and in the process move to experimental modes at larger scales than previously thought achievable.
AB - Scaling is a naturally iterative and bi-directional component of problem solving in ecology and in climate science. Ecosystems and climate systems are unquestionably the sum of all their parts, to the smallest imaginable scale, in genomic processes or in the laws of fluid dynamics. However, in the process of scaling-up, for practical purposes the whole usually has to be construed as a good deal less than this. This essay demonstrates how controlled large-scale experiments can be used to deduce key mechanisms and thereby reduce much of the detail needed for the process of scaling-up. Collection of the relevant experimental evidence depends on controlling the environment and complexity of experiments, and on applications of technologies that report on, and integrate, small-scale processes. As the role of biological feedbacks in the behavior of climate systems is better appreciated, so the need grows for experimentally based understanding of ecosystem processes. We argue that we cannot continue as we are doing, simply observing the progress of the greenhouse gas-driven experiment in global change, and modeling its future outcomes. We have to change the way we think about climate system and ecosystem science, and in the process move to experimental modes at larger scales than previously thought achievable.
KW - Biosphere 2 laboratory
KW - Chlorophyll flourescence
KW - Coral reefs
KW - Experimental ecosystem science
KW - Global change
KW - Stable isotopes
UR - http://www.scopus.com/inward/record.url?scp=7044222164&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=7044222164&partnerID=8YFLogxK
U2 - 10.1111/j.1529-8817.2003.00747.x
DO - 10.1111/j.1529-8817.2003.00747.x
M3 - Article
AN - SCOPUS:7044222164
VL - 10
SP - 393
EP - 407
JO - Global Change Biology
JF - Global Change Biology
SN - 1354-1013
IS - 4
ER -