Spatial downscaling of European climate data

Moreno, Adam; Hasenauer, Hubert

doi:10.1002/joc.4436

Cited by 111 publications

(89 citation statements)

References 44 publications

Supporting

Mentioning

Contrasting

Unclassified

Order By: Relevance

“…We next ran the MOD17 algorithm with the downscaled European climate data [25] and obtained an additional MODIS NPP estimate for the period 2000-2012 (hereafter called MODIS EURO), which differ from MODIS GLOB provided by NTSG only in the used daily climate input data. We used the same FPAR, LAI and Land cover input, as used for the global NPP product, MODIS GLOB.…”

Section: Modis Nppmentioning

confidence: 99%

“…MODIS GLOB uses the global climate data set NCEP2 [23] described in the following Section 2.2. In Europe, we have high quality daily climate data, the E-OBS data set [24], which was recently downscaled to a 1-km resolution [25].…”

Section: Modis Nppmentioning

confidence: 99%

“…As outlined, the two MODIS NPP estimates, MODIS GLOB and MODIS EURO, differ only in the daily climate data input: MODIS GLOB employs the global NCEP2 climate data set [23] and MODIS EURO uses European downscaled climate data [25]. We provide here a brief overview of the two climate data sets.…”

Section: Climate Datamentioning

confidence: 99%

“…1ˆ1 km at the equator and approx. 0.6ˆ1 km at 50˝latitude) [25]. This data set was developed out of the E-OBS gridded climate data set (0.25˝resolution, using data from 7852 climate stations) [24] in conjunction with the WorldClim data set [26].…”

Section: Climate Datamentioning

confidence: 99%

“…P is the mean annual precipitation 2000 to 2012 [mm]. For temperature and precipitation we use the European climate data [25] to capture important small-scale regional effects such as elevation or topography in a more realistic way. Equation (4) is applied for all plots where broadleaf species contribute most to total basal area and Equation (5) is used for coniferous-dominated plots (see Table S2 of the Supplementary Material).…”

Section: Terrestrial Nfi Nppmentioning

confidence: 99%

See 4 more Smart Citations

Creating a Regional MODIS Satellite-Driven Net Primary Production Dataset for European Forests

et al. 2016

Self Cite

View full text Add to dashboard Cite

Net primary production (NPP) is an important ecological metric for studying forest ecosystems and their carbon sequestration, for assessing the potential supply of food or timber and quantifying the impacts of climate change on ecosystems. The global MODIS NPP dataset using the MOD17 algorithm provides valuable information for monitoring NPP at 1-km resolution. Since coarse-resolution global climate data are used, the global dataset may contain uncertainties for Europe. We used a 1-km daily gridded European climate data set with the MOD17 algorithm to create the regional NPP dataset MODIS EURO. For evaluation of this new dataset, we compare MODIS EURO with terrestrial driven NPP from analyzing and harmonizing forest inventory data (NFI) from 196,434 plots in 12 European countries as well as the global MODIS NPP dataset for the years 2000 to 2012. Comparing these three NPP datasets, we found that the global MODIS NPP dataset differs from NFI NPP by 26%, while MODIS EURO only differs by 7%. MODIS EURO also agrees with NFI NPP across scales (from continental, regional to country) and gradients (elevation, location, tree age, dominant species, etc.). The agreement is particularly good for elevation, dominant species or tree height. This suggests that using improved climate data allows the MOD17 algorithm to provide realistic NPP estimates for Europe. Local discrepancies between MODIS EURO and NFI NPP can be related to differences in stand density due to forest management and the national carbon estimation methods. With this study, we provide a consistent, temporally continuous and spatially explicit productivity dataset for the years 2000 to 2012 on a 1-km resolution, which can be used to assess climate change impacts on ecosystems or the potential biomass supply of the European forests for an increasing bio-based economy. MODIS EURO data are made freely available at ftp://palantir.boku.ac.at/Public/MODIS_EURO.

show abstract

Section: Modis Nppmentioning

confidence: 99%

Section: Modis Nppmentioning

confidence: 99%

Section: Climate Datamentioning

confidence: 99%

Section: Climate Datamentioning

confidence: 99%

Section: Terrestrial Nfi Nppmentioning

confidence: 99%

See 3 more Smart Citations

Creating a Regional MODIS Satellite-Driven Net Primary Production Dataset for European Forests

et al. 2016

Self Cite

View full text Add to dashboard Cite

show abstract

Winners and losers: How the elevational range of breeding birds on Alps has varied over the past four decades due to climate and habitat changes

Bani

Luppi

Rocchia

et al. 2019

Ecology and Evolution

View full text Add to dashboard Cite

Climate warming and habitat transformation are widely recognized as worrying threatening factors. Understanding the individual contribution of these two factors to the change of species distribution could be very important in order to effectively counteract the species range contraction, especially in mountains, where alpine species are strongly limited in finding new areas to be colonized at higher elevations. We proposed a method to disentangle the effects of the two drivers of range change for breeding birds in Italian Alps, in the case of co‐occurring climate warming and shrub and forest encroachment. For each species, from 1982 to 2017, we related the estimated yearly elevational distribution of birds to the correspondent overall average of the daily minimum temperatures during the breeding season and the estimated amount of shrubs and forest cover. Using a hierarchical partitioning approach, we assessed the net contribution (i.e., without the shared effect) of each driver. Both temperature and shrub and forest cover showed a positive trend along the time series and resulted the most likely causes of the significant elevational displacement for 21 of the 29 investigated birds. While shrub and forest cover was found to be an important driver of the expansion of forest bird range toward higher elevations, the effect of temperature on favouring the colonization of previously climatically unsuitable forests at higher elevations was not negligible. Shrub and forest expansion resulted the main driver of the range contraction for edge and open habitat species, which suffered a distribution shrinkage at their lower elevational boundary. In light of climate warming, these results highlighted how the net range loss for edge and open habitat species, caused by shrub and forest encroachment consequent to land abandonment, should be counteracted by implementing proper conservation management strategies and promoting sustainable economic activities in rangeland areas.

show abstract

Tree recruitment is determined by stand structure and shade tolerance with uncertain role of climate and water relations

Käber

Meyer

Stillhard

et al. 2021

Ecology and Evolution

View full text Add to dashboard Cite

Tree regeneration is a key process for long‐term forest dynamics, determining changes in species composition and shaping successional trajectories. While tree regeneration is a highly stochastic process, tree regeneration studies often cover narrow environmental gradients only, focusing on specific forest types or species in distinct regions. Thus, the larger‐scale effects of temperature, water availability, and stand structure on tree regeneration are poorly understood. We investigated these effects in respect of tree recruitment (in‐growth) along wide environmental gradients using forest inventory data from Flanders (Belgium), northwestern Germany, and Switzerland covering more than 40 tree species. We employed generalized linear mixed models to capture the abundance of tree recruitment in response to basal area, stem density, shade casting ability of a forest stand as well as site‐specific degree‐day sum (temperature), water balance, and plant‐available water holding capacity. We grouped tree species to facilitate comparisons between species with different levels of tolerance to shade and drought. Basal area and shade casting ability of the overstory had generally a negative impact on tree recruitment, but the effects differed between levels of shade tolerance of tree recruitment in all study regions. Recruitment rates of very shade‐tolerant species were positively affected by shade casting ability. Stem density and summer warmth (degree‐day sum) had similar effects on all tree species and successional strategies. Water‐related variables revealed a high degree of uncertainty and did not allow for general conclusions. All variables had similar effects independent of the varying diameter thresholds for tree recruitment in the different data sets. Synthesis: Shade tolerance and stand structure are the main drivers of tree recruitment along wide environmental gradients in temperate forests. Higher temperature generally increases tree recruitment rates, but the role of water relations and drought tolerance remains uncertain for tree recruitment on cross‐regional scales.

show abstract

Spatial downscaling of European climate data

Cited by 111 publications

References 44 publications

Creating a Regional MODIS Satellite-Driven Net Primary Production Dataset for European Forests

Creating a Regional MODIS Satellite-Driven Net Primary Production Dataset for European Forests

Winners and losers: How the elevational range of breeding birds on Alps has varied over the past four decades due to climate and habitat changes

Tree recruitment is determined by stand structure and shade tolerance with uncertain role of climate and water relations

Contact Info

Product

Resources

About