The climate plants experience

Körner, Christian

doi:10.1007/978-3-030-59538-8_4

Cited by 4 publications

(3 citation statements)

References 69 publications

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“…The increase in temperatures allows forest boundary to be moved up to higher altitudes on pasturelands. As the altitude increased, the plant life in mountainous regions was limited directly and indirectly due to direct or indirect effects of low temperatures, radiation, wind and storm, or insufficient water availability (Körner & Larcher 1988). The first-order approach in the response of vegetation cover to climate change is that species will move upward in finding climate conditions similar to today's conditions in tomorrow's climate (Peters & Darling 1985).…”

Section: Environment-spatial Variations In Secondary Productive Forestsmentioning

confidence: 99%

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Environmental-spatial variations in secondary forests on mountain pasturelands under climate change in Northeastern Turkey

Usta¹,

Yılmaz

2021

MJEE

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This study explores the effects of environmental-spatial factors (parent material, altitude, slope, topographic solar radiation index, distance from forest edge) on the spatial distribution of secondary forests that naturally grows on pasturelands under climate change in Şebinkarahisar located in the northeastern of Turkey during the period 1987 -2013. The Mann-Kendall and Sen's trend analyses determined significant increases in average temperatures (average temperature annual, average temperature spring and average temperature autumn), variables of precipitation and actual evapotranspiration during vegetation period, and significant decreases in the variable of precipitation outside vegetation period. Our results showed that secondary forests developed on pasturelands under the domination of Pinus sylvestris, Abies nordmanniana, Populus tremula and Quercus macranthera. According to the principal component analysis (PCA), the decrease in topographic solar radiation index showed increase in the spatial distribution of P. tremula, Q. macranthera and A. nordmanniana despite the increase in altitude and slope, while the increase in altitude, slope and topographic solar radiation index increased the spatial distribution of P. sylvestris. During the secondary forest succession, the human population in the villages situated in the study area significantly decreased. Decrease in anthropogenic pressure, the history of land cover change, climate change, and environmental and spatial variations jointly interact to determine the advances in forest regeneration on pasturelands. Improving our understanding of these interactions will provide information about the ecosystem dynamics and facilitate land management and planning. In this context, this study is important since it gives valuable ideas to decision makers for management of open lands such as pastures and grasslands in arid or semi-arid ecosystems similar to the study area.

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Section: Environment-spatial Variations In Secondary Productive Forestsmentioning

confidence: 99%

“…In high mountainous areas, the negative effects of low temperatures, solar radiation, wind and storm, as well as insufficient water availability directly or indirectly limit the life of forest trees (Körner & Larcher 1988). Climate warming may partially change the boundaries of some tree species and ecosystems (Peters & Darling 1985).…”

Section: Introductionmentioning

confidence: 99%

Environmental-spatial variations in secondary forests on mountain pasturelands under climate change in Northeastern Turkey

Usta¹,

Yılmaz

2021

MJEE

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“…Interacting effects of climate, topography and vegetation create a fine‐scaled and temporary dynamic mosaic of microclimates, substantially different from free‐air conditions recorded by standard weather stations and predicted by global climatic models (Geiger et al, 2009; Slavich et al, 2014). Local microclimate, and not regional macroclimate, directly affect organisms and key ecological processes (Körner, 2021; Nadeau et al, 2017). While the microclimate is always local, it also affects biodiversity and ecosystem processes on larger scales (Nadeau et al, 2022; Zellweger et al, 2020).…”

Section: Introductionmentioning

confidence: 99%

myClim: Microclimate data handling and standardised analyses in R

et al. 2023

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Microclimates have been recognised as one of the key drivers in global change biology. Durable microclimate loggers, detailed in‐situ measurements and sophisticated modelling tools are increasingly available, but a lack of standardised workflows for microclimate data handling hinders synthesis across the studies and thus progress in the global change biology. To overcome these limitations, we developed an R package myClim for microclimate data processing, storage and analyses. The myClim package supports complete workflow for microclimate data handling, including reading raw logger data files, their preprocessing and cleaning, time‐series' aggregation, calculation of ecologically relevant microclimatic variables, data export and storage. The myClim package stores data in a size‐efficient, hierarchical structure which respects the hierarchy of field microclimate measurement (locality > loggers > sensors). For imported microclimatic data, myClim provides an informative summary and automatically detects and corrects common issues like duplicated and wrongly ordered measurements. The myClim package also provides advanced functions for microclimate data aggregation to various timescales (e.g. days, months, years or growing seasons) as well as tools for sensor calibration, data conversion and joining of multiple microclimatic time series. The myClim package provides advanced functions for standardised calculation of ecologically relevant microclimatic variables like freezing and growing degree days, snow cover period, soil volumetric water content and atmospheric vapour pressure deficit. Calculated microclimatic variables are stored efficiently in myClim data format and can be easily exported to long or wide tables for further analyses and visualisations. Adopting myClim can facilitate large‐scale syntheses, boost data sharing and increase the comparability and reproducibility of microclimatic studies. The stable version of myClim is available on CRAN (https://cran.r‐project.org/web/packages/myClim) and the development version is available on GitHub (https://github.com/ibot‐geoecology/myClim).

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Air and Surface Temperatures Differently Drive Terrestrial Carbon and Water Cycles in the High Latitudes

Tang,

Chen,

Martín Belda

et al. 2024

Geophysical Research Letters

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High‐latitude vegetation experience different temperatures than the ambient air temperature. While lacking a regional plant temperature product, we drove the dynamic ecosystem model, LPJ‐GUESS, with widely used ERA5‐land surface temperature (Tsurf, at radiative equilibrium) and air temperature to understand ecosystem process responses to these two temperatures. We show that tundra plants' growth is stimulated by warmer Tsurf in the summer, but in the boreal forests, colder Tsurf in the non‐summer months constrains leaf development and enzyme activity the following growing season. Tsurf drives higher productivity of tundra plant individuals but leads to less productive individuals in the boreal forest, although with compensatory changes (almost 68%) in vegetation structure. We demonstrate the importance of forcing temperature in simulating high‐latitude ecosystem processes and call for a community effort to measure plant temperatures across canopy heights and seasons to reduce uncertainties in estimating high‐latitude plant responses and feedback to climate.

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The climate plants experience

Cited by 4 publications

References 69 publications

Environmental-spatial variations in secondary forests on mountain pasturelands under climate change in Northeastern Turkey

Environmental-spatial variations in secondary forests on mountain pasturelands under climate change in Northeastern Turkey

myClim: Microclimate data handling and standardised analyses in R

Air and Surface Temperatures Differently Drive Terrestrial Carbon and Water Cycles in the High Latitudes

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