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Ecological and Environmental Change Research Group

EMERALD

Terrestrial ecosystem-climate interactions of our EMERALD planet

A work plan for the EMERALD project showing how the four work-packages relate
Photo:
Vigdis Vandvik

Main content

Plants have changed the history of our "Emerald Planet". As David Beerling wrote in his 2017 book The Emerald Planet '[plants] regulate the cycling of carbon dioxide and water, influences the rate at which rocks erode, adjust the chemical composition of the atmosphere, and affect how the landscape absorbs or reflects sunlight.' They are 'not silent witnesses to the passage of time but dynamic components that shape and are, in return, shaped by the environment.' Shaping and being shaped,Ìývegetation operates in feedbacks in the climate system, involving also the atmosphere, soils, and the hydrological cycle.

The scientific objective of EMERALD is to improve representation of high-latitude ecosystems and their climate interactions in the Norwegian Earth System model (NorESM) by integrating data and knowledge from empirical ecosystem research in model parameterisation, development, and testing.

Expanding from established collaborations, EMERALD will integrate existing activities among key partners and provide added value through critical mass, joint fieldwork and experiments, co-ordinated modelling efforts, and novel approaches. This requires a rigorous review of existing parameterisations across a range of scales. EMERALD facilitates beter use of relevant data and observations and implementation of key processes in NorESM. We expect to significantly advance the representation of high-latitude terrestrial ecosystems, offering novel parameterisations and structural updates to improve current land surface schemes - with the potential to yield significant improvements in NorESM, including impacts and feedback toÌýterrestrial ecosystems.

EMERALD will "feed" a community land model (CLM) and "challenge" it with observtional data from cold environments to implement improved representations adapted for each specific region. This model development strategy, which includes process-based mechanistic modelling, is the core of Work-Package (WP) 1.ÌýA critical factor for its successful application is the availability of relevant observational data, vital both for formulating underlying processes and relationships, and for feeding and challenging the CLM. A critical resource towards this is the wealth of data from decades of vegetation and ecosystem research from across Norway, including but not limited to work by EMERALD partners, much of which has focused on impacts of climate change, and which not yet has been brought together in a systematic way. EMERALD thus facilitates a broader national collaboration and data synthesis across the community,Ìý while also adding a focus to the reverse relationship:Ìýthe impact of vegetation on climate. Based on this data resource, WP2 supports WP1, but also contributes stand-alone research in the form of process studies, and upscaling by combining observations across methods and parameter space. WP1 outcomes will be used in WP3, which explores the effects of model improvements in NorESM.

Work-Packages

WP1: Land surface model evaluation and improvement

WP1 will validate several recent improvements in land surface models (LSMs) for northern environments using our observation and experimental data (see Table). Elements missing in NorESM/CLM known to be key components of northern ecosystems will be added. If the models fail to predict critical patterns accurately (e.g. snow, C, cycle),Ìýimprovements will be sought in process representation and scale gaps between measurements and models.

ProjectInfrastructureEnvironmentVegetation characterFluxesImages
NameRegion# SitesYears of dataTreatsClimateSnowSoilPFTComm.FTDemog.WaterTemp.CNearRemote
SIOS+ WICLAPHigh Arctic191-14C, TT, P, WSÌýcÌýÌýÌýÌýÌýÌýCc
InterActHigh Arctic17CT, P, WSÌýSSÌýÌýCCCÌýÌý
SatPerm+High Arctic120CT, P, WSM, N, SSSÌýÌýCCCCÌý
CryoMETHigh, Low Arctic26CT, P, WSM, N, SSÌýÌýÌýÌýÌýÌýÌýÌý
FeedbackLow Arctic13C, TT, P, wSM, N, SSSSÌýAAAÌýÌý
PermaNorLow Arctic43CT, P, WSÌýÌýÌýÌýÌýÌýÌýÌýSs
Winter grazingLow Arctic3219C, T, GT, P, WsM, N, ScÌýÌýÌýÌýÌýÌýSc
LATICEAlpine12CT, P, WSM, N, SAAÌýÌýAAAÌýÌý
SeedClim+Boreal, Alpine1210C, T, P, F, DT, P, wsM, N, SAASAÌýCASs
ICOS NorwayBoreal Cont.12CT, P, WSM, N, SSSÌýÌýCCCSs
LandPress+Boreal Oceanic52-24C, T, P, FT, P, wsM, N, SAASÌýÌýCASs
NFINorway200,00028Ct, p, wsÌýAÌýÌýÌýÌýÌýÌýÌýa
TerraBGP+FennoscandiaGridded4-9Ct, p, wsÌýAÌýÌýÌýÌýÌýÌýÌýa

Table giving anÌýoverview over a subset of the existing field infrastructure, experiments, and observational systems that will beÌýharnessed and extended for key empirical data in EMERALD (constituting an Arctic ecosystems testbed). The table summarises key Infrastructure (C=untreated/control conditions, T=Temperature, G=Grazing, P=Precipitation F=Plant Functional Types, D=Dispersal/distribution) and EnvironmentÌý(T=Temperature, P=Precipitation, W=Wind, S=Snow, M=soil moisture, N=soil nutrients, S=soil structure). The key ecosystem responses are summarised under Vegetation characteristics (plant functional typeÌýPFT; community Comm.; funtional traits FT;Ìýdemography Demog.), Fluxes and Images. For each of these responses, C=continuously logged data, A=annual resolutionÌýdata, and S=Single-point measurements. Lower-case letters signify remote or modelled data, otherwise measurements.

WP2: Improved process understanding from observations and experiments

WP2 harnesses research investments that already existÌýin the form of relevant data from past and currentÌýresearch and monitoring projects from across Norway and beyond (see Table). The EMERALD team is uniquelyÌýpositioned to do this, as we collectively have access to a wealth of such projects. We will add keyÌýmeasurements and covariates to some of these sites or experiments to facilitate the integration and usage ofÌýthe data, covering major drivers and response variables across key nature types and climatic gradients. The WP is broken down into a number of tasks.

Task 2.a Refining and mapping new Arctic alpine plant functional types (PFTs)
Task 2.b Vegetation dynamics
Task 2.c Plant hydrological processes
Task 2.d Albedo
Task 2.e Carbon cycle
Task 2.f Energy balance
Task 2.g Dataset compilation and coordination

WP3: Implementation in NorESM and quantification of feedbacks

In the fully coupled climate system, feedbackÌýprocesses cannot be seen in isolation.ÌýTo gain understanding of the feedback potential of processesÌýand new parameterisations in the terrestrial system, WP3 starts with off-line simulations (fixed atmosphericÌýforcing). A high resolution (1x1 km) forcing dataset for Norway is established by downscaling ERA5 data with the weather research & forecasting (WRF) model for the period 1950-present. Running revised versions of the models CLM5BGC and CLM5FATES with this inputÌýallows testing against observed surface properties (from WP2). Tasks to be undertaken are:

Task 3.a Upscaling
Task 3.b Quantify biophysical and biogeochemical feedback strengths
Task 3.c Cloud-vegetation feedbacks
Task 3.d Carbon-Cycle feedbacks
Task 3.e Global climate sensitivity implications

WP4: Dissemination and communication

To inform the general public about the little-known interactions between ecosystems and the climate system, and improve the basis for climate change adaptationÌýand further studies on the impacts of climate change on nature and society.

Key project participants

, UiO
, UiO
, NORCE
, NINA
, NCAR
, UiO
Vigdis Vandvik, UiB
, UiO
, UiO
, UiO
, NiBIO
, UiO
Hege Hisdal,
, UiO
, UiO
, NILU
, UNIS
Kolbjørn Engeland,
, NINA
, UiO