Estimating daily meteorological data and downscaling climate models over landscapes

Cáceres, Miquel De; Martin‐StPaul, Nicolas; Turco, Marco; Cabon, Antoine; Granda, Víctor

doi:10.1016/j.envsoft.2018.08.003

Cited by 93 publications

(50 citation statements)

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“…The total number of daily observations (Catalonia and surrounding Spanish regions) was on average 298 for temperature, 406 for precipitation, and 51 for wind speed. Interpolation of meteorology by taking into account topography as well as the calculation of daily potential evapotranspiration (Penman, ) for each study plot (i.e., SFI3 and experimental plots) was done using the R package “meteoland” (De Cáceres, Martin‐StPaul, Turco, Cabon, & Granda, ; Figure S4A,B).…”

Section: Methodsmentioning

confidence: 99%

Applying the eco‐hydrological equilibrium hypothesis to model root distribution in water‐limited forests

et al. 2018

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Drought is a key driver of vegetation dynamics, but plant water‐uptake patterns and consequent plant responses to drought are poorly understood at large spatial scales. The capacity of vegetation to use soil water depends on its root distribution (RD). However, RD is extremely variable in space and difficult to measure in the field, which hinders accurate predictions of water fluxes and vegetation dynamics. We propose a new method to estimate RD within water balance models, assuming that vegetation is at eco‐hydrological equilibrium (EHE). EHE conditions imply that vegetation optimizes RD such that transpiration is maximized within the limits of bearable drought stress, characterized here by species‐specific hydraulic thresholds. Optimized RD estimates were validated against RD estimates obtained by model calibration from sap flow or soil moisture from 38 forest plots in Catalonia (NE Spain). In water‐limited plots, optimized RD was similar to calibrated RD, but estimates diverged with higher water availability, suggesting that the EHE may not be assumed when water is not limiting. Thereafter, we applied the optimization procedure at the regional scale, to estimate RD for the water‐limited forests of Catalonia. Regional variations of optimum RD reproduced many expected patterns in response to climate, soil physical properties, forest structure, and species hydraulic traits. We conclude that RD optimization, based on the EHE hypothesis and a simple description of plant hydraulics, produces realistic estimates of RD that can be used for model parameterization and shows promise to improve our ability to forecast vegetation dynamics under increased drought.

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Section: Methodsmentioning

confidence: 99%

Applying the eco‐hydrological equilibrium hypothesis to model root distribution in water‐limited forests

et al. 2018

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“…We assumed abiotic factors, such as climate and soil, were homogeneous in one land type but heterogeneous among land types. The principal soil in one land type was used to represent this land type [50]. We needed daily precipitation, maximum and minimum temperature, mean surface wind speed, and incident solar radiation on each land type under current and future climate scenarios.…”

Section: Study Areamentioning

confidence: 99%

“…We obtained future daily climate data (2070-2099) from the Coupled Model Inter-Comparison Project phase 5. We interpolated current climate data and downscaled future climate data to each land type using the R package 'meteoland' [50]. Compared with the current climate, the four GCMs projected that the multiple-year seasonal mean precipitation dramatically increased in summer ranging from 60 to 180 mm and less than a 50 mm increase in the other seasons (Figure 2a).…”

Section: Study Areamentioning

confidence: 99%

Responses of Korean Pine to Proactive Managements under Climate Change

Liu

et al. 2020

Forests

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Proactive managements, such as the resistant and the adaptive treatments, have been proposed to cope with the uncertainties of future climates. However, quantifying the uncertainties of forest response to proactive managements is challenging. Korean pine is an ecologically and economically important tree species in the temperate forests of Northeast China. Its dominance has evidently decreased due to excessive harvesting in the past decades. Understanding the responses of Korean pine to proactive managements under the future climates is important. In this study, we evaluated the range of responses of Korean pine to proactive managements under Representative Concentration Pathway (RCP) 8.5 scenarios from four General Circulation Models (GCMs). We coupled an ecosystem process-based model, LINKAGES, and a forest landscape model, LANDIS PRO, to simulate scenarios of management and climate change combinations. Our results showed that the resistant and the adaptive treatment scenarios increased Korean pine importance (by 14.2% and 42.9% in importance value), dominance (biomass increased by 9.2% and 25.5%), and regeneration (abundance <10 years old increased by 286.6% and 841.2%) throughout the simulation. Results indicated that proactive managements promoted the adaptability of Korean pine to climate change. Our results showed that the variations of Korean pine response to climate change increased (ranging from 0% to 5.8% for importance value, 0% to 4.3% for biomass, and 0% to 85.4% for abundance) throughout the simulation across management scenarios. Our result showed that regeneration dictated the uncertainties of Korean pine response to climate change with a lag effect. We found that the effects of proactive managements were site-specific, which was probably influenced by the competition between Korean pine and the rare and protected broadleaf tree species. We also found that the adaptive treatment was more likely to prompt Korean pine to migrate into its suitable habitats and promoted it to better cope with climate change. Thus, the adaptive treatment is proposed for Korean pine restoration under future climates.

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“…The climate change scenario for the given stand was obtained from the EU-CORDEX project, available at the Earth System Grid Federation (ESGF; http://esgf.llnl.gov), using the CCLM4-8-17 regional dynamic model and the RCP4.5 emissions scenario. We obtained a monthly meteorological series for the study plot by downscaling regional predictions using the R package "meteoland" [66]. The resulting meteorological data were uploaded in two separate files, one containing the mean monthly temperature, and another with the total monthly rainfall from 2001 to 2120 ( Figure 7).…”

Section: Data Inputmentioning

confidence: 99%

A Decision Support Tool for Assessing the Impact of Climate Change on Multiple Ecosystem Services

Cristal

Améztegui

García-Gonzalo

2019

Forests

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In the climate change era, forest managers are challenged to use innovative tools to encourage a sustained provision of goods and services. Many decision support tools (DSTs), developed to address global changes in forest management practices, reflect the complexity of the scientific knowledge produced, a fact that could make it difficult for practitioners to understand and adopt them. Acknowledging the importance of knowledge transfer to forestry practitioners, this study describes a user-centric decision support software tool, aiming to assess forest management and climate change impacts on multiple ecosystem services (ESs) at a stand level. SORTIE-ND, a spatially explicit tree-level simulator for projecting stand dynamics that is sensitive to climate change, is encapsulated into the decision support tool and used as the simulation engine for stand development. Linking functions are implemented to evaluate ecosystem services and potential risks, and decision support is provided in form of interactive 2D and 3D visualizations. Five main components were identified to delineate the workflow and to shape the decision support tool: the information base, the alternative generator, the forest simulator, the ecosystem services calculator, and the visualization component. In order to improve the interaction design and general user satisfaction, the usability of the system was tested at an early stage of the development. While we have specifically focused on a management-oriented approach through user-centric interface design, the utilization of the product is likely to be of importance in facilitating education in the field of forest management.

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Estimating daily meteorological data and downscaling climate models over landscapes

Cited by 93 publications

References 50 publications

Applying the eco‐hydrological equilibrium hypothesis to model root distribution in water‐limited forests

Applying the eco‐hydrological equilibrium hypothesis to model root distribution in water‐limited forests

Responses of Korean Pine to Proactive Managements under Climate Change

A Decision Support Tool for Assessing the Impact of Climate Change on Multiple Ecosystem Services

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