Shifting relative importance of climatic constraints on land surface phenology

Garonna, Irene; Jong, Rogier de; Stöckli, Reto; Schmid, Bernhard; Schenkel, David; Schimel, David; Schaepman, Michael E.

doi:10.1088/1748-9326/aaa17b

Cited by 45 publications

(39 citation statements)

References 49 publications

(67 reference statements)

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“…However, cross‐validation experiments are required to compare spatially continuous traits observed from remote sensing to traits simulated by DGVMs using flexible‐individual traits, but approaches are underway (cf. Garonna et al, ; Lausch et al, ). Simulated trait maps for SLA and WD can be validated against interpolated observed trait maps (Butler et al, ; Šímová et al, ), even though observed trait distributions include those from highly managed forests.…”

Section: Discussionmentioning

confidence: 99%

Simulating functional diversity of European natural forests along climatic gradients

Thonicke

Billing

Bloh

et al. 2020

Journal of Biogeography

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Aim We analyse how functional diversity (FD) varies across European natural forests to understand the effects of environmental and competitive filtering on plant trait distribution. Location Forest ecosystems in Europe from 11°W to 36°E and 29.5°N to 62°N. Taxon Pinaceae, Fagaceae and Betulaceae, Oleaceae, Tiliaceae, Aceraceae, Leguminosae (unspecific). Methods We adopted the existing Dynamic Global Vegetation Model Lund‐Potsdam‐Jena managed Land of flexible individual traits (LPJmL‐FIT) for Europe by eliminating both bioclimatic limits of plant functional types (PFTs) and replacing prescribed values of functional traits for PFTs with emergent values under influence of environmental filtering and competition. We quantified functional richness (FR), functional divergence (FDv) and functional evenness (FE) in representative selected sites and at Pan‐European scale resulting from simulated functional and structural trait combinations of individual trees. While FR quantifies the amount of occupied trait space, FDv and FE describe the distribution and abundance of trait combinations, respectively, in a multidimensional trait space. Results Lund‐Potsdam‐Jena managed Land of flexible individual traits reproduces spatial PFTs and local trait distributions and agrees well with observed productivity, biomass and tree height of European natural forests. The observed site‐specific trait distributions and spatial gradients of traits of the leaf‐ and stem‐resource economics spectra coincide with environmental filtering and the competition for light and water in environments with strong abiotic stress. Where deciduous and needle‐leaved trees co‐occur, for example, in boreal and mountainous forests, the potential niche space is wide (high FR), and extreme ends in the niche space are occupied (high FDv). We find high FDv in Mediterranean forests where drought increasingly limits tree growth, thus niche differentiation becomes more important. FDv decreases in temperate forests where a cold climate increasingly limits growth efficiency of broad‐leaved summer green trees, thus reducing the importance of competitive exclusion. Highest FE was simulated in wet Atlantic and southern Europe which indicated relatively even niche occupation and thus high resource‐use efficiency. Main Conclusions We find FD resulting from both environmental and competitive filtering. Pan‐European FR, FDv and FE demonstrate the influence of climate gradients and intra‐ and inter‐PFT competition. The indices underline a generally high FD of natural forests in Europe. Co‐existence of functionally diverse trees across PFTs emerges from alternative (life‐history) strategies, disturbance and tree demography.

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Section: Discussionmentioning

confidence: 99%

Simulating functional diversity of European natural forests along climatic gradients

Thonicke

Billing

Bloh

et al. 2020

Journal of Biogeography

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“…The empirical LAI estimations done as part of this work are based only on surface air temperature. Recent studies have reported increasing effects of moisture on global vegetation (Garonna et al, ; Pan et al, ). Thus, we may have underestimated the water stress on global GPP and the impact of El Niño‐related droughts on tropical GPP.…”

Section: Discussionmentioning

confidence: 99%

Effects of Anthropogenic Activity on Global Terrestrial Gross Primary Production

Melnikova

Sasai

2020

JGR Biogeosciences

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Gross primary production (GPP) has been identified as the largest terrestrial carbon flux and the major driver of the growing biosphere uptake of carbon. Factorial simulations using several biosphere models have been used to estimate the effects of long‐term (>50 years) climate change on global terrestrial GPP. However, no study has integrated large‐ensemble climate simulation data into a biosphere model to realistically estimate global terrestrial GPP with associated uncertainty. Here we present a novel approach to estimate the global terrestrial long‐term GPP with associated climate data‐induced uncertainty that combines a diagnostic‐type biosphere model with a large‐ensemble climate simulation data set. We distinguish the effects of recent anthropogenic activity on global GPP (the anthropogenic GPP effect) from the effects of interannual climate variability (the natural GPP effect) by comparing GPP model estimates forced by historical and “nonwarming” climate data. We provide evidence for an increasing anthropogenic effect on global terrestrial GPP. The anthropogenic GPP effect is driven by CO2 fertilization, which is projected to weaken or saturate by 2050–2150, depending on the representative concentration pathway scenario used. Model results suggest that shortwave radiation couples with El Niño–Southern Oscillation conditions and volcanic eruptions to drive the natural GPP effect. Because shortwave radiation at the surface is related to cloud cover, we encourage future studies to focus on cloud‐radiation feedbacks on the carbon cycle.

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“…For example, various large satellite sensors datasets are available to evaluate vital natural systems, environmental scenarios, and extremes affecting the land surface in a continuous spatial and temporal mode [18]. These analyses capture the environmental process that describes the species and biodiversity distribution associated with land use/land cover (LULC) [19], forest cover [20], vegetation structure and productivity [21,22], precipitation [23], and temperature [24]. Remote sensing data associated with continuous time-series data resolves the problem of data sparsity concerning spatial and temporal resolution and improves the transferability of model projections [17].One of the most essential impact factors affecting the habitat quality is the land-use change [25].…”

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confidence: 99%

The InVEST Habitat Quality Model Associated with Land Use/Cover Changes: A Qualitative Case Study of the Winike Watershed in the Omo-Gibe Basin, Southwest Ethiopia

et al. 2020

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The contribution of biodiversity to the global economy, human survival, and welfare has been increasing significantly, but the anthropogenic pressure as a threat to the pristine habitat has followed. This study aims to identify habitat suitability, analyze the change in habitat quality from 1988 to 2018, and to investigate the correlation between impact factors and habitat quality. The InVEST habitat quality model was used to analyze the spatiotemporal change in habitat quality in individual land-use types in the Winike watershed. Remote sensing data were used to analyze the land use/land cover changes. Nine threat sources, their maximum distance of impact, mode of decay, and sensitivity to threats were also estimated for each land-use cover type. The analysis illustrates that habitat degradation in the watershed was continuously increasing over the last three decades (1988 to 2018). Each threat impact factor and habitat sensitivity have increased for the last 30 years. The most contributing factor of habitat degradation was the 25.41% agricultural expansion in 2018. Population density, land-use intensity, elevation, and slope were significantly correlated with the distribution of habitat quality. Habitat quality degradation in the watershed during the past three decades suggested that the conservation strategies applied in the watershed ecosystem were not effective. Therefore, this study helps decision makers, particularly regarding the lack of data on biodiversity. It further looks into the conflict between economic development and conservation of biodiversity.

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Shifting relative importance of climatic constraints on land surface phenology

Cited by 45 publications

References 49 publications

Simulating functional diversity of European natural forests along climatic gradients

Simulating functional diversity of European natural forests along climatic gradients

Effects of Anthropogenic Activity on Global Terrestrial Gross Primary Production

The InVEST Habitat Quality Model Associated with Land Use/Cover Changes: A Qualitative Case Study of the Winike Watershed in the Omo-Gibe Basin, Southwest Ethiopia

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