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6 results for “treeline ecotone”

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zenodo40/100

Genetic basis of growth reaction to drought stress differs in contrasting high-latitude treeline ecotones of a widespread conifer

<p>Raw and filtered SNP data and&nbsp;raw tree ring data of the analysed trees.&nbsp;R scripts for SNP filtering, phenotypic data and genotype-phenotype association&nbsp;analysis.&nbsp;</p>

opencc-by-4.0Feb 2022View details →
dryad32/100

Data from: Spatial dynamics of alpine treelines under global warming: what explains the mismatch between tree densification and elevational upward shifts at the treeline ecotone?

<p><b>Aim</b></p> <p>Most studies focusing on the alpine treeline responses to climate warming have used either the tree densification within the ecotone or its elevational upshift as indicators. However, it is acknowledged that the relation between densification and upshift is spatially heterogeneous, making inferences and comparability among studies tricky. The lack of consistent empirical evidence on this potential mismatch and its drivers leads us to focus on this issue in this study. The aim was twofold: (i) to quantify the mismatch between the two processes at a regional scale, and (ii) to identify its site-specific determinants.</p> <p><b>Location</b></p> <p>French eastern Pyrenees</p> <p><b>Time period</b></p> <p>1953-2015</p> <p><b>Major taxa studied </b></p> <p><i>Pinus</i><i> uncinata </i>(Ramond ex DC)</p> <p><b>Methods</b></p> <p>An object-oriented supervised classification procedure was performed on historical (1953) and current (2015) air-photos. Based on the resulting rasters, densification of the treeline ecotone and upward shift of the treeline were estimated at the two dates in 191 sites, then standardized, before finally being compared. Three site clusters were derived (no mismatch, densification prevalence, upshift prevalence). After having characterized their spatial patterns through join count statistics, a multinomial logistic regression model was computed to identify the correlates of these clusters among a list of site variables.</p> <p><b>Results</b></p> <p>No spatial pattern among the categories of responses emerges at a local scale, but buffers with no mismatch tend to aggregate at a larger scale. Changes in minimum air temperatures, site elevation, mean slope, slope morphometry and lithology appear as significant drivers of the observed mismatch, implying that the relation between densification and elevational upshift is context-specific.</p> <p><b>Main conclusions</b></p> <p><a name="_Hlk17817327">Our findings suggest that both </a><a name="_Hlk17816517">densification and upshift </a>should be considered in quantitative analyses of treeline spatial dynamics, since these two ecological processes are not controlled by the same drivers.</p>

opencc-zeroNov 2020View details →
dryad32/100

Data from: Reproduction as a bottleneck to treeline advance across the circumarctic forest tundra ecotone

The fundamental niche of many species is shifting with climate change, especially in sub-arctic ecosystems with pronounced recent warming. Ongoing warming in sub-arctic regions should lessen environmental constraints on tree growth and reproduction, leading to increased success of trees colonising tundra. Nevertheless, variable responses of treeline ecotones have been documented in association with warming temperatures. One explanation for time lags between increasingly favourable environmental conditions and treeline ecotone movement is reproductive limitations caused by low seed availability. Our objective was to assess the reproductive constraints of the dominant tree species at the treeline ecotone in the circumpolar north. We sampled reproductive structures of trees (cones and catkins) and stand attributes across circumarctic treeline ecotones. We used generalized linear mixed models to estimate the sensitivity of seed production and the availability of viable seed to regional climate, stand structure, and species-specific characteristics. Both seed production and viability of available seed were strongly driven by specific, sequential seasonal climatic conditions, but in different ways. Seed production was greatest when growing seasons with more growing degree days coincided with years with high precipitation. Two consecutive years with more growing degree days and low precipitation resulted in low seed production. Seasonal climate effects on the viability of available seed depended on the physical characteristics of the reproductive structures. Large-coned and -seeded species take more time to develop mature embryos and were therefore more sensitive to increases in growing degree days in the year of flowering and embryo development. Our findings suggest that both moisture stress and abbreviated growing seasons can have a notable negative influence on the production and viability of available seed at treeline. Our synthesis revealed that constraints on predispersal reproduction within the treeline ecotone might create a considerable time lag for range expansion of tree populations into tundra ecosystems.

opencc-zeroDec 2017View details →
zenodo32/100

Mapping forest in the Swiss Alps treeline ecotone with explainable deep learning: label data

<p>Label data used in the paper &quot;Nguyen T.-A., Kellenberger B., Tuia D. (2022), <em>Mapping forest in the Swiss Alps treeline ecotone with explainable deep learning</em>&quot; (<a href="https://doi.org/10.1016/j.rse.2022.113217">https://doi.org/10.1016/j.rse.2022.113217</a>).</p> <p>Code available at <a href="https://github.com/thienanhng/ExplainableForestMapping">github.com/thienanhng/ExplainableForestMapping</a>.</p>

opencc-by-4.0Sep 2022View details →
dryad32/100

Data from: Spatial dynamics of alpine treelines under global warming: what explains the mismatch between tree densification and elevational upward shifts at the treeline ecotone?

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publicNov 2020View details →
dryad32/100

Data from: Reproduction as a bottleneck to treeline advance across the circumarctic forest tundra ecotone

Open the record for dataset details and reuse information.

publicJul 2018View details →

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