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68 results for “forest resilience”

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edi56/100

Data from the Forest Resilience Threshold Experiment, University of Michigan Biological Station, 2024

During the 2024 field season, data collection efforts led by the FoRTE crew centered on understanding forest ecosystem dynamics and carbon cycling processes in a temperate forest landscape. Comprehensive datasets were gathered to evaluate structural and functional responses across multiple forest strata. Measurements included diameter at breast height (DBH) for canopy, subcanopy, and seedling layers, alongside a detailed subcanopy census to assess understory composition and diversity. Soil respiration (Rs) was monitored to quantify carbon fluxes, while fern density and distribution were documented to explore their role in forest microclimates and nutrient cycling. Photosynthetically active radiation (PAR) readings provided insights into light availability and its impact on primary production. Advanced remote sensing tools, including LiDAR and normalized difference vegetation index (NDVI), were employed to characterize canopy structure, vegetation health, and spatial heterogeneity. These diverse datasets collectively contribute to a robust framework for analyzing forest resilience, recovery, and carbon sequestration potential following disturbance, advancing our understanding of ecosystem processes in the face of environmental change.

openCC (other)Jan 2025View details →
edi48/100

Tree mortality in Forest and Biodiversity 2: a tree diversity experiment to understand the consequences of multiple dimensions of diversity and composition for long-term ecosystem function and resilience

The Forest and Biodiversity (FAB2) experiment uses native tree species in varying levels of species richness, phylogenetic diversity, and functional diversity planted in 100 m2 and 400 m2 plots at 1 m spacing, appropriate for testing long-term ecosystem consequences. FAB2 was designed and established in conjunction with a prior experiment (FAB1) in which the same set of twelve species was planted in 16 m2 plots at 0.5 m spacing. Both are adjacent to the BioDIV prairie-grassland diversity experiment, enabling comparative investigations of diversity and ecosystem function relationships between experimental grasslands and forests at different planting densities and plot sizes. This data package examines mortality in the first six years of the experiment.

openCC0Sep 2024View details →
edi48/100

FAB2_sapling_volume_2021-2022 in Forest and Biodiversity 2: a tree diversity experiment to understand the consequences of multiple dimensions of diversity and composition for long-term ecosystem function and resilience

The Forest and Biodiversity (FAB2) experiment uses native tree species in varying levels of species richness, phylogenetic diversity, and functional diversity planted in 100 m2 and 400 m2 plots at 1 m spacing, appropriate for testing long-term ecosystem consequences. FAB2 was designed and established in conjunction with a prior experiment (FAB1) in which the same set of twelve species was planted in 16 m2 plots at 0.5 m spacing. Both are adjacent to the BioDIV prairie-grassland diversity experiment, enabling comparative investigations of diversity and ecosystem function relationships between experimental grasslands and forests at different planting densities and plot sizes. This data package examines mortality in the first six years of the experiment.

openCC0Mar 2025View details →
edi48/100

fab2_allometry_2016-2022 in Forest and Biodiversity 2: a tree diversity experiment to understand the consequences of multiple dimensions of diversity and composition for long-term ecosystem function and resilience

The Forest and Biodiversity (FAB2) experiment uses native tree species in varying levels of species richness, phylogenetic diversity, and functional diversity planted in 100 m2 and 400 m2 plots at 1 m spacing, appropriate for testing long-term ecosystem consequences. FAB2 was designed and established in conjunction with a prior experiment (FAB1) in which the same set of twelve species was planted in 16 m2 plots at 0.5 m spacing. Both are adjacent to the BioDIV prairie-grassland diversity experiment, enabling comparative investigations of diversity and ecosystem function relationships between experimental grasslands and forests at different planting densities and plot sizes. This data package examines mortality in the first six years of the experiment.

openCC0Mar 2025View details →
edi44/100

Disturbance legacies and resilience simulation using an individual-based forest landscape model on the Andrews Experimental Forest

Disturbances are key drivers of forest ecosystem dynamics, and forests are well adapted to their natural disturbance regimes. However, as a result of climate change, disturbance frequency is expected to increase in the future in many regions. It is not yet clear how such changes might affect forest ecosystems, and which mechanisms contribute to (current and future) disturbance resilience. We here studied the 6364-ha HJ Andrews Experimental Forest landscape to investigate how patches of remnant old-growth trees (as one important class of biological legacies) affect the resilience of forest ecosystems to disturbance. Using the spatially explicit, individual-based forest landscape model iLand we analyzed the effect of three different levels of remnant patches (0%, 12%, and 24% of the landscape) on 500-year recovery trajectories after a large, high severity wildfire. In addition, we evaluated how three different levels of fire frequency (no fire, a historic fire return interval of 262 years, and a reduced fire return interval of 131 years) modulate the effects of initial legacies. The study investigated effects of legacies on the resilience of forest ecosystem structure (represented by canopy complexity as described by the rumple index), composition (proportion of late-seral species), and functioning (total ecosystem carbon storage). For each scenario of initial legacy and fire return interval 25 replicates were simulated. More information on the simulation methodology as well as the code and executable used for this study can be obtained at http://iLand.boku.ac.at. The dataset is completed and no further analyses are planned at this point. The results are published in Ecological Applications http://dx.doi.org/10.1890/14-0255.1.

openMay 2014View details →
zenodo40/100

Open Data in German Forest Information Systems: Towards an EU Forest Resilience Monitor (Original dataset on Forest Resilience Indicators and their compliance with Open data criteria)

<p>This dataset represents the original analysis on which my Master's Thesis in the pioneer master programme at the Universities of M&uuml;nster, Tallinn (Taltech) and Leuven (KUL), titled "Open Data in German Forest Governance: Towards an EU Forest Resilience Monitor".&nbsp;</p> <ul> <li>The first sheet contains the coding on information systems on <strong>bird species occurrence</strong> and their compliance with Open data criteria, with justifications, links or further information speciefied in comments, where necessary.&nbsp;</li> <li>The second sheet contains the coding on information systems on <strong>tree species distribution</strong> and their compliance with Open data criteria, with justifications, links or further information speciefied in comments, where necessary.&nbsp;</li> <li>The third sheet contains the coding on information systems on <strong>soil water conditions</strong> and their compliance with Open data criteria, with justifications, links or further information speciefied in comments, where necessary.&nbsp;</li> <li>The fourth sheet contains the coding on information systems on <strong>canopy cover</strong> and their compliance with Open data criteria, with justifications, links or further information speciefied in comments, where necessary.&nbsp;</li> <li>The fifth sheet contains the coding on information systems on <strong>carbon sequestration</strong> and their compliance with Open data criteria, with justifications, links or further information speciefied in comments, where necessary.&nbsp;</li> <li>The sixth sheet contains the data on the <strong>individual scores per policy level/state per indicator group and the respective averages</strong>. More information on the operationaliation can be found in the methodology section of the thesis.&nbsp;</li> <li>The seventh sheet contains the data on the <strong>individual scores per policy level/state per indicator group and the respective averages, ranked from highest to lowest compliance</strong>. More information on the operationaliation can be found in the methodology section of the thesis.&nbsp;</li> <li>The last sheet gives <strong>information on the coding</strong>.&nbsp;</li> </ul>

opencc-by-4.0Jun 2024View details →
zenodo40/100

Adaptive forest management improves stand-level resilience of temperate forests under multiple stressors: Dataset

<p>This dataset is linked to the paper &ldquo;Adaptive forest management improves stand-level resilience of temperate forests under multiple stressors" submitted to Science of The Total Environment.</p>

opencc-by-4.0Apr 2024View details →
dryad40/100

Forest resilience to global warming is strongly modulated by local-scale topographic, microclimatic and biotic conditions

<p>Resilience of endangered rear edge populations of cold-adapted forests in the Mediterranean basin is increasingly altered by extreme heatwave and drought pressures. It remains unknown, however, whether microclimatic variation in these isolated forests could ultimately result in large intra-population variability in the demographic responses, allowing the coexistence of contrasting declining and resilient trends across small topographic gradients. Multiple key drivers promoting spatial variability in the resilience of rear edge forests remain largely unassessed, including amplified and buffered thermal exposure induced by heat waves along topographic gradients, and increased herbivory pressure on tree saplings in defaunated areas lacking efficient apex predators. Here we analysed whether indicators of forest resilience to global warming are strongly modulated by local-scale topographic, microclimatic and biotic conditions.</p> <p>We studied a protected rear edge forest of sessile oak (<em>Q. petraea</em>), applying a suite of 20 indicators of resilience of tree secondary growth, including multidecadal and short-term indices. We also analysed sapling recruitment success, recruit/adult ratios and sapling thermal exposure across topographic gradients. We found large within population variation in secondary growth resilience, in recruitment success and in thermal exposure of tree saplings to heatwaves, and this variability was spatially structured along small-scale topographical gradients. Multidecadal resilience indices and curves provide useful descriptors of forest vulnerability to climate warming, complementing assessments based in the analysis of short-term resilience indicators. Species-specific associations of trees with microclimatic variability are reported.</p> <p>Biotic factors are key in determining long-term resilience in climatically-stressed rear edge forests, with strong limitation of sapling recruitment by increased roe deer and wild boar herbivory. Our results also support non-stationary effects of climate determining forest growth responses and resilience, showing increased negative effects of warming and drought over the last decades in declining stands.</p> <p>Our findings do not support scenarios predicting spatially homogeneous distributional shifts and limited resilience in rear-edge populations, and are more supportive of scenarios including spatially heterogeneous responses, characterised with contrasting intra-population trends of forest resilience. We conclude that forest resilience responses to climate warming are strongly modulated by local-scale microclimatic, topographic and biotic factors. Accurate predictions of forest responses to changes in climate would therefore largely benefit from the integration of local-scale abiotic and biotic factors.</p>

opencc-zeroAug 2021View details →
dryad40/100

Data from: Beyond resilience: Responses to changing climate and disturbance regimes in temperate forest landscapes across the Northern Hemisphere

Open the record for dataset details and reuse information.

publicSep 2024View details →
dryad40/100

Forest resilience to global warming is strongly modulated by local-scale topographic, microclimatic and biotic conditions

Open the record for dataset details and reuse information.

publicAug 2021View details →
zenodo36/100

The Resilience of Tropical Forest Invertebrates to Microclimate Change

<b>Description: </b><p>This dataset examines the thermal physiology of ants accross the SAFE project, with the goal of understanding how changing microclimates affect communities of invertebrates in disturbed landscapes. Tropical invertebrates are expected to already live close to their upper thermal tolerances, and so the rapid changes to microclimate brought about by logging may be a powerful determinant of the emergent communites in disturbed forests. The worksheet contains the upper critical temperature (CTmax) of individual ants identified to genus level. Ants were collected from the ground or soil layer unless specified as arboreal. CTmax was determined using a ramping procedure whereby temeprature was increased from 32 degrees upwards at a rate of 0.2 degrees per minuted until individuals lost motor control. Ants were found by searching opportunistically throughout entire blocks, therefore for locations we have simply inputted one large fractal order from each sampling block used.</p><p><b>Project: </b>This dataset was collected as part of the following SAFE research project: <a href="https://www.safeproject.net/projects/project_view/135"><b>The Resilience of Tropical Forest Invertebrates to Microclimate Change</b></a></p><p><b>XML metadata: </b>GEMINI compliant metadata for this dataset is available <a href="https://www.safeproject.net/datasets/xml_metadata?id=4297673">here</a></p><p><b>Files: </b>This consists of 1 file: MJWB_SAFE_CTmax_Upload.xlsx</p><p><b>MJWB_SAFE_CTmax_Upload.xlsx</b></p><p>This file contains dataset metadata and 1 data tables:</p><ol><li><p><b>Ant.CTmax</b> (described in worksheet Ant.CTmax)</p><p>Description: The worksheet contains the upper critical temperature (CTmax in degrees centigrade) of individual ants identified to genus level. Ants were collected from the ground or soil layer unless specified as arboreal. CTmax was determined using a ramping procedure whereby temeprature was increased from 32 degrees upwards at a rate of 0.2 degrees per minuted until individuals lost motor control. Ants were found by searching opportunistically throughout entire blocks, therefore for locations we have simply inputted one large fractal order from each sampling block used.</p><p>Number of fields: 4</p><p>Number of data rows: 2359</p><p>Fields: </p><ul><li><b>CTmax</b>: Critical upper thermal tolerance in degrees centigrade (Field type: numeric)</li><li><b>Genus</b>: Genus name of ant (Field type: taxa)</li><li><b>Location</b>: SAFE Project sampling block (Field type: location)</li><li><b>Arboreal</b>: Comment on if the ant was sampled from the ground or arboreal layer (Field type: comments)</li></ul></li></ol><p><b>Date range: </b>2015-10-01 to 2019-10-01</p><p><b>Latitudinal extent: </b>4.6380 to 4.7412</p><p><b>Longitudinal extent: </b>116.9568 to 117.6245</p><p><b>Taxonomic coverage: </b><br> All taxon names are validated against the GBIF backbone taxonomy. If a dataset uses a synonym, the accepted usage is shown followed by the dataset usage in brackets. Taxa that cannot be validated, including new species and other unknown taxa, morphospecies, functional groups and taxonomic levels not used in the GBIF backbone are shown in square brackets.</p><div>&ensp;-&ensp; Animalia <br>&ensp;-&ensp;&ensp;-&ensp; Arthropoda <br>&ensp;-&ensp;&ensp;-&ensp;&ensp;-&ensp; Insecta <br>&ensp;-&ensp;&ensp;-&ensp;&ensp;-&ensp;&ensp;-&ensp; Hymenoptera <br>&ensp;-&ensp;&ensp;-&ensp;&ensp;-&ensp;&ensp;-&ensp;&ensp;-&ensp; Formicidae <br>&ensp;-&ensp;&ensp;-&ensp;&ensp;-&ensp;&ensp;-&ensp;&ensp;-&ensp;&ensp;-&ensp; <i>Acanthomyrmex</i> <br>&ensp;-&ensp;&ensp;-&ensp;&ensp;-&ensp;&ensp;-&ensp;&ensp;-&ensp;&ensp;-&ensp; <i>Aenictus</i> <br>&ensp;-&ensp;&ensp;-&ensp;&ensp;-&ensp;&ensp;-&ensp;&ensp;-&ensp;&ensp;-&ensp; <i>Bothriomyrmex</i> <br>&ensp;-&ensp;&ensp;-&ensp;&ensp;-&ensp;&ensp;-&ensp;&ensp;-&ensp;&ensp;-&ensp; <i>Camponotus</i> <br>&ensp;-&ensp;&ensp;-&ensp;&ensp;-&ensp;&ensp;-&ensp;&ensp;-&ensp;&ensp;-&ensp; <i>Cardiocondyla</i> <br>&ensp;-&ensp;&ensp;-&ensp;&ensp;-&ensp;&ensp;-&ensp;&ensp;-&ensp;&ensp;-&ensp; <i>Carebara</i> <br>&ensp;-&ensp;&ensp;-&ensp;&ensp;-&ensp;&ensp;-&ensp;&ensp;-&ensp;&ensp;-&ensp; <i>Cataulacus</i> <br>&ensp;-&ensp;&ensp;-&ensp;&ensp;-&ensp;&ensp;-&ensp;&ensp;-&ensp;&ensp;-&ensp; <i>Centromyrmex</i> <br>&ensp;-&ensp;&ensp;-&ensp;&ensp;-&ensp;&ensp;-&ensp;&ensp;-&ensp;&ensp;-&ensp; <i>Crematogaster</i> <br>&ensp;-&ensp;&ensp;-&ensp;&ensp;-&ensp;&ensp;-&ensp;&ensp;-&ensp;&ensp;-&ensp; <i>Cryptopone</i> <br>&ensp;-&ensp;&ensp;-&ensp;&ensp;-&ensp;&ensp;-&ensp;&ensp;-&ensp;&ensp;-&ensp; <i>Diacamma</i> <br>&ensp;-&ensp;&ensp;-&ensp;&ensp;-&ensp;&ensp;-&ensp;&ensp;-&ensp;&ensp;-&ensp; <i>Dolichoderus</i> <br>&ensp;-&ensp;&ensp;-&ensp;&ensp;-&ensp;&ensp;-&ensp;&ensp;-&ensp;&ensp;-&ensp; <i>Echinopla</i> <br>&ensp;-&ensp;&ensp;-&ensp;&ensp;-&ensp;&ensp;-&ensp;&ensp;-&ensp;&ensp;-&ensp; <i>Euprenolepis</i> <br>&ensp;-&ensp;&ensp;-&ensp;&ensp;-&ensp;&ensp;-&ensp;&ensp;-&ensp;&ensp;-&ensp; <i>Hypoponera</i> <br>&ensp;-&ensp;&ensp;-&ensp;&ensp;-&ensp;&ensp;-&ensp;&ensp;-&ensp;&ensp;-&ensp; <i>Iridomyrmex</i> <br>&ensp;-&ensp;&ensp;-&ensp;&ensp;-&ensp;&ensp;-&ensp;&ensp;-&ensp;&ensp;-&ensp; <i>Lepisiota</i> <br>&ensp;-&ensp;&ensp;-&ensp;&ensp;-&ensp;&ensp;-&ensp;&ensp;-&ensp;&ensp;-&ensp; <i>Leptogenys</i> <br>&ensp;-&ensp;&ensp;-&ensp;&ensp;-&ensp;&ensp;-&ensp;&ensp;-&ensp;&ensp;-&ensp; <i>Lophomyrmex</i> <br>&ensp;-&ensp;&ensp;-&ensp;&ensp;-&ensp;&ensp;-&ensp;&ensp;-&ensp;&ensp;-&ensp; <i>Lordomyrma</i> <br>&ensp;-&ensp;&ensp;-&ensp;&ensp;-&ensp;&ensp;-&ensp;&ensp;-&ensp;&ensp;-&ensp; <i>Monomorium</i> <br>&ensp;-&ensp;&ensp;-&ensp;&ensp;-&ensp;&ensp;-&ensp;&ensp;-&ensp;&ensp;-&ensp; <i>Myrmecina</i> <br>&ensp;-&ensp;&ensp;-&ensp;&ensp;-&ensp;&ensp;-&ensp;&ensp;-&ensp;&ensp;-&ensp; <i>Myrmicaria</i> <br>&ensp;-&ensp;&ensp;-&ensp;&ensp;-&ensp;&ensp;-&ensp;&ensp;-&ensp;&ensp;-&ensp; <i>Nylanderia</i> <br>&ensp;-&ensp;&ensp;-&ensp;&ensp;-&ensp;&ensp;-&ensp;&ensp;-&ensp;&ensp;-&ensp; <i>Ochetellus</i> <br>&ensp;-&ensp;&ensp;-&ensp;&ensp;-&ensp;&ensp;-&ensp;&ensp;-&ensp;&ensp;-&ensp; <i>Odontomachus</i> <br>&ensp;-&ensp;&ensp;-&ensp;&ensp;-&ensp;&ensp;-&ensp;&ensp;-&ensp;&ensp;-&ensp; <i>Odontoponera</i> <br>&ensp;-&ensp;&ensp;-&ensp;&ensp;-&ensp;&ensp;-&ensp;&ensp;-&ensp;&ensp;-&ensp; <i>Oecophylla</i> <br>&ensp;-&ensp;&ensp;-&ensp;&ensp;-&ensp;&ensp;-&ensp;&ensp;-&ensp;&ensp;-&ensp; <i>Pachycondyla</i> <br>&ensp;-&ensp;&ensp;-&ensp;&ensp;-&ensp;&ensp;-&ensp;&ensp;-&ensp;&ensp;-&ensp; <i>Paraparatrechina</i> <br>&ensp;-&ensp;&ensp;-&ensp;&ensp;-&ensp;&ensp;-&ensp;&ensp;-&ensp;&ensp;-&ensp; <i>Paratopula</i> <br>&ensp;-&ensp;&ensp;-&ensp;&ensp;-&ensp;&ensp;-&ensp;&ensp;-&ensp;&ensp;-&ensp; <i>Paratrechina</i> <br>&ensp;-&ensp;&ensp;-&ensp;&ensp;-&ensp;&ensp;-&ensp;&ensp;-&ensp;&ensp;-&ensp; <i>Pheidole</i> <br>&ensp;-&ensp;&ensp;-&ensp;&ensp;-&ensp;&ensp;-&ensp;&ensp;-&ensp;&ensp;-&ensp; <i>Pheidologeton</i> <br>&ensp;-&ensp;&ensp;-&ensp;&ensp;-&ensp;&ensp;-&ensp;&ensp;-&ensp;&ensp;-&ensp; <i>Philidris</i> <br>&ensp;-&ensp;&ensp;-&ensp;&ensp;-&ensp;&ensp;-&ensp;&ensp;-&ensp;&ensp;-&ensp; <i>Plagiolepis</i> <br>&ensp;-&ensp;&ensp;-&ensp;&ensp;-&ensp;&ensp;-&ensp;&ensp;-&ensp;&ensp;-&ensp; <i>Polyrhachis</i> <br>&ensp;-&ensp;&ensp;-&ensp;&ensp;-&ensp;&ensp;-&ensp;&ensp;-&ensp;&ensp;-&ensp; <i>Ponera</i> <br>&ensp;-&ensp;&ensp;-&ensp;&ensp;-&ensp;&ensp;-&ensp;&ensp;-&ensp;&ensp;-&ensp; <i>Prenolepis</i> <br>&ensp;-&ensp;&ensp;-&ensp;&ensp;-&ensp;&ensp;-&ensp;&ensp;-&ensp;&ensp;-&ensp; <i>Prionopelta</i> <br>&ensp;-&ensp;&ensp;-&ensp;&ensp;-&ensp;&ensp;-&ensp;&ensp;-&ensp;&ensp;-&ensp; <i>Pristomyrmex</i> <br>&ensp;-&ensp;&ensp;-&ensp;&ensp;-&ensp;&ensp;-&ensp;&ensp;-&ensp;&ensp;-&ensp; <i>Pseudolasius</i> <br>&ensp;-&ensp;&ensp;-&ensp;&ensp;-&ensp;&ensp;-&ensp;&ensp;-&ensp;&ensp;-&ensp; <i>Rhoptromyrmex</i> <br>&ensp;-&ensp;&ensp;-&ensp;&ensp;-&ensp;&ensp;-&ensp;&ensp;-&ensp;&ensp;-&ensp; <i>Rhytidoponera</i> <br>&ensp;-&ensp;&ensp;-&ensp;&ensp;-&ensp;&ensp;-&ensp;&ensp;-&ensp;&ensp;-&ensp; <i>Tapinoma</i> <br>&ensp;-&ensp;&ensp;-&ensp;&ensp;-&ensp;&ensp;-&ensp;&ensp;-&ensp;&ensp;-&ensp; <i>Technomyrmex</i> <br>&ensp;-&ensp;&ensp;-&ensp;&ensp;-&ensp;&ensp;-&ensp;&ensp;-&ensp;&ensp;-&ensp; <i>Tetramorium</i> <br>&ensp;-&ensp;&ensp;-&ensp;&ensp;-&ensp;&ensp;-&ensp;&ensp;-&ensp;&ensp;-&ensp; <i>Tetraponera</i> <br>&ensp;-&ensp;&ensp;-&ensp;&ensp;-&ensp;&ensp;-&ensp;&ensp;-&ensp;&ensp;-&ensp; <i>Vollenhovia</i> <br></div><p></p>

opencc-by-4.0Dec 2019View details →
dryad36/100

Data from: How neighbourhood interactions control the temporal stability and resilience to drought of trees in mountain forests

<p>1. Over the coming decades, the predicted increase in frequency and intensity of extreme events such as droughts is likely to have a strong effect on forest functioning. Recent studies have shown that species mixing may buffer the temporal variability of productivity. However, most studies have focused on temporal stability of productivity, while species mixing may also affect forest resilience to extreme events. Our understanding of mechanisms underlying species mixing effects on forest stability and resilience remains limited because we ignore how changes from intraspecific to interspecific interactions in the neighbourhood of a given tree might affect its stability and resilience to extreme drought (i.e. response during and after this drought). This is crucial to better understand forests' response to climate change and how diversity may help maintain forest functioning.</p> <p>2. Here we analysed how local intra‐ or interspecific interactions may affect the temporal stability and resilience to drought of individual trees in French mountain<br> forests, using basal area increment data over the previous 20 years for Fagus sylvatica, Abies alba and Quercus pubescens. We analysed the effect of interspecific<br> competition on (a) the temporal stability and (b) the resilience to drought (resistance and recovery) of individual tree radial growth.</p> <p>3. We found no significant interspecific competition effect on temporal stability, but species‐specific effects on tree growth resilience to drought. There was a positive<br> effect of heterospecific proportion on the drought resilience of Q. pubescens, a negative effect for A. alba and no effect for F. sylvatica. These differences may be<br> related to interspecific differences in water use or rooting depth.</p> <p>4. Synthesis: In this study, we showed that stand composition influences individual tree growth resilience to drought, but this effect varied depending on the species<br> and its physiological responses. Our study also highlighted that a lack of biodiversity effect on long‐term stability might hide important effects on short‐term<br> resilience to extreme climatic events. This may have important implications in the face of climate change.</p>

opencc-zeroNov 2019View details →
dryad36/100

Data from: Resilience of lake biogeochemistry to boreal-forest wildfires during the late Holocene

Novel fire regimes are expected in many boreal regions, and it is unclear how biogeochemical cycles will respond. We leverage fire and vegetation records from a highly flammable ecoregion in Alaska and present new lake-sediment analyses to examine biogeochemical responses to fire over the past 5300 years. No significant difference exists in δ13C, %C, %N, C:N, or magnetic susceptibility between pre-fire, post-fire, and fire samples. However, δ15N is related to the timing relative to fire (Χ2=19.73, p&lt;0.0001), with higher values for fire-decade samples (3.2±0.3‰) than pre-fire (2.4±0.2‰) and post-fire (2.2±0.1‰) samples. Sediment δ15N increased gradually from 1.8±0.6‰ to 3.2±0.2‰ over the late Holocene, probably as a result of terrestrial-ecosystem development. Elevated δ15N in fire decades likely reflects enhanced terrestrial nitrification and/or deeper permafrost-thaw depths immediately following fire. Similar δ15N values before and after fire decades suggest that N cycling in this lowland-boreal watershed was resilient to fire disturbance. However, this resilience may diminish as boreal ecosystems approach climate-driven thresholds of vegetation structure, permafrost thaw, and fire.

opencc-zeroAug 2019View details →
zenodo36/100

Managing for the unexpected: building resilient forest landscapes to cope with global change: Supporting data

<p><strong>Input files</strong> and <strong>installers </strong>of the versions of LANDIS-II, PnET-Succession and other extensions used in the associated paper. They can be used to to reproduce results of the study.</p> <p>The model documentation is freely available at <a href="https://www.landis-ii.org/">https://www.landis-ii.org/</a></p> <p>The LANDIS-II code is distributed under an open source license at <a href="https://github.com/LANDIS-II-Foundation">https://github.com/LANDIS-II-Foundation</a>.</p> <p>If interested in using this dataset for a research study or project, please contact <a href="https://www.marco-mina.com">Marco Mina</a></p> <p>---------------------</p> <p>Mina, M., Messier, C., Duveneck, M., Fortin, M. J., &amp; Aquilu&eacute;, N. (2022)&nbsp;<strong>Managing for the unexpected: building resilient forest landscapes to cope with global change</strong>.&nbsp;<em>Global Change Biology </em>28, 4323&ndash; 4341 <em> </em><a href="https://doi.org/10.1111/gcb.16197">https://doi.org/10.1111/gcb.16197</a></p> <p>ABSTRACT. Natural disturbances exacerbated by novel climate regimes are increasing worldwide, threatening the ability of forest ecosystems to mitigate global warming through carbon sequestration and to provide other key ecosystem services. One way to cope with unknown disturbance events is to promote the ecological resilience of the forest by increasing both functional trait and structural diversity and by fostering functional connectivity of the landscape to ensure a rapid and efficient self-reorganization of the system. We investigated how expected and unexpected variations in climate and biotic disturbances affect ecological resilience and carbon storage in a forested region in southeastern Canada. Using a process-based forest landscape model (LANDIS-II), we simulated ecosystem responses to climate change and insect outbreaks under different forest policy scenarios &ndash; including a novel approach based on functional diversification and network analysis &ndash; and tested how the potentially most damaging insect pests interact with changes in forest composition and structure due to changing climate and management. We found that climate warming, lengthening the vegetation season, will increase forest productivity and carbon storage, but unexpected impacts of drought and insect outbreaks will drastically reduce such variables. Generalist, non-native insects feeding on hardwood are the most damaging biotic agents for our region, and their monitoring and early detection should be a priority for forest authorities. Higher forest diversity driven by climate-smart management and fostered by climate change that promotes warm-adapted species, might increase disturbance severity. However, alternative forest policy scenarios led to a higher functional and structural diversity as well as functional connectivity &ndash; and thus to higher ecological resilience &ndash; than conventional management. Our results demonstrate that adopting a landscape-scale perspective by planning interventions strategically in space and adopting a functional trait approach to diversify forests is promising for enhancing ecological resilience under unexpected global change stressors.</p>

opencc-by-4.0Apr 2022View details →
dryad36/100

Conifer seedling demography reveals mechanisms of initial forest resilience to wildfires in the northern Rocky Mountains

<p>Climate warming and an increased frequency and severity of wildfires are expected to transform forest ecosystems, in part through altered post-fire vegetation trajectories. Such a loss of forest resilience to wildfires arises due to a failure to pass through one or more critical demographic stages, or "filters," including seed availability, germination, establishment, and survival. Here we quantify the relative influence of microclimate and microsite conditions on key stages of post-fire seedling demography in two large, lightning-ignited wildfires from the regionally extensive fire season of 2017 in the northern Rocky Mountains, U.S.A. We tracked conifer seedling density, survival, and growth in the first three years post-fire in 69 plots spanning gradients in fire severity, topography, and climate; all plots were limited to within 100 m of a seed source to assure seed availability. Microclimate conditions were inferred based on measurements in a subset of 46 plots. We found abundant post-fire conifer regeneration, with a median of 2,633 seedlings per hectare after three years, highlighting early resilience to wildfire. This robust regeneration was due in part to moderate post-fire climate conditions, supporting high survivorship (&gt;50% on average) of all seedlings tracked over the study period (n = 763). A statistical model based on variables describing potential seed availability, microclimate, fire severity, understory vegetation, and soil nitrogen availability explained 75% of the variability in seedling density among plots. This analysis highlights the overarching importance of fine-scale heterogeneity in fire effects, which determine microclimate conditions and create diverse microsites for seedlings, ultimately facilitating post-fire tree regeneration. Our study elucidates mechanisms of forest resilience to wildfires and demonstrates the utility of a demographic perspective for anticipating forest responses to future wildfires under changing environmental conditions.</p>

opencc-zeroSep 2022View details →
dryad36/100

Resilience of a tropical montane pine forest to fire and severe droughts

<p><span>1. Higher temperatures, declining precipitation, changing cloud cover, and increased wildfires threaten tropical montane pine forests by overriding the environmental heterogeneity that typically buffers these systems from catastrophic fires. Severe fires threaten to overwhelm forest resilience and tip this biome into alternate vegetation states.</span></p> <p><span>2. This study focused on long-term dynamics of montane <em>Pinus</em> <em>occidentalis</em> forests in the Cordillera Central, Dominican Republic, after a ~1000 km<sup>2</sup> fire in 2005, the largest since 1965</span>. <span>We used long-term records to investigate climate before and after the fire and a 19-year dataset of pre- and post-fire vegetation change from a network of 55 permanent plots (20 small </span>0.05 ha<span> plots and 35 large 0.1 ha plots) established in 1999 to model overstorey and understorey vegetation dynamics. </span></p> <p><span>3. The 2005 fire was synchronized with the most extreme drought in the region in over 60 years. The fire burned from &lt; 1600 to &gt; 3000 m a.s.l. in elevation across windward and leeward slopes, creating a mosaic of low-, moderate-, and high-severity patches. L</span><span>ower elevations</span><span>, </span><span>leeward slopes, and stands </span><span>with a higher proportion of smaller pine trees</span><span> all burned at higher severities. </span></p> <p><span>4. Growth rates of trees that survived the fire remained lower than pre-fire rates 13 years after the fire. The </span><span>highest mortality rates were soon after the fire and in the census immediately after the post-fire droughts</span><span>. Post-fire pine seedling abundance was significantly greater in stands with higher basal area of live canopy trees and significantly reduced by increased shrub abundance in the understorey. Understorey composition recovered rapidly to pre-fire states in sites affected by low- and moderate-severity fires, but sites affected by high-severity fires remained dissimilar to pre-fire composition</span> 13 years after the fire<span>. Even though high-severity patches had persistently low pine regeneration, 100% of </span>small <span>plots and 96% of large plots had at least one pine sapling or canopy tree recruit by 2018. Shrub taxa survived the fire in higher numbers and recovered to pre-fire densities much faster than the pine, especially in high-severity burns.</span></p> <p><span>5. Synthesis</span><span>. Climate change has increased the likelihood of wildfires in tropical montane pine forests, with long-lasting effects on vegetation dynamics. However, this</span> biome may prove resilient to increasingly severe fires in the near future<span>, given the ongoing recovery of <em>Pinus occidentalis</em> forests</span> in Hispaniola <span>despite repeated severe droughts. Nevertheless, highly drought- and fire-resistant taxa (e.g. shrubs) may form alternate stable states in drier portions of tropical montane landscapes in the future as droughts and high-severity fires become more common.</span></p>

opencc-zeroOct 2022View details →
dryad36/100

Data from: Ocean warming undermines the recovery resilience of New England kelp forests following a fishery-induced trophic cascade

<p>Ecological theory predicts that kelp forests structured by trophic cascades should experience a recovery and persistence of their foundation species when herbivores become rare. Yet, climate change may be altering the outcomes of top-down forcing in kelp forests, especially those located in regions that have rapidly warmed in recent decades, such as the Gulf of Maine. Here, using data collected annually from 30+ sites spanning &gt;350 km of coastline, we explored the dynamics of Maine's kelp forests in the ~20 years after a fishery-induced elimination of sea urchin herbivores. Although forests (dominated by <em>Saccharina latissima</em> and <em>Laminaria digitata</em>) had broadly returned to Maine in the late 20th century, we found that forests in northeast Maine have since experienced slow but significant declines in kelp, and forest persistence in the northeast was juxtaposed by a rapid, widespread collapse in the southwest. Forests collapsed in the southwest apparently because ocean warming has – directly and indirectly – made this area inhospitable to kelp. Indeed, when modeling drivers of change using causal techniques from econometrics, we discovered that unusually high summer water temperatures the year prior, unusually high spring water temperatures, and high sea urchin densities each negatively impacted kelp abundance. Furthermore, the relative power and absolute impact of these drivers varied geographically. Our findings reveal that ocean warming is redefining the outcomes of top-down forcing in this system, whereby herbivore removal no longer predictably leads to a sustained dominance of kelp – the ecosystem's foundation – but instead has led to a waning dominance (northeast) or the rise of a novel phase state defined by "turf" algae (southwest). Such findings indicate that limiting climate change and managing for low herbivore abundances will be essential for preventing further loss of the vast forests that still exist in northeastern Maine. They also more broadly highlight that climate change is "rewriting the rules" of nature, and thus that ecological theory and practice must be revised to account for shifting species and processes.</p>

opencc-zeroApr 2024View details →
zenodo36/100

Open Data in German Forest Information Systems: Towards an EU Forest Resilience Monitor (Collection of Forest Resilience Indicators)

<p>This dataset represents the collection of forest indicators for my Master's Thesis in the pioneer master programme at the Universities of M&uuml;nster, Tallinn (Taltech) and Leuven (KUL), titled "Open Data in German Forest Governance: Towards an EU Forest Resilience Monitor".&nbsp;</p> <p>It contains a classification of inicators sourced from:</p> <ul> <li> <p><span>Nikinmaa, L., Lindner, M., Cantarello, E., Jump, A. S., Seidl, R., Winkel, G., &amp; Muys, B. (2020). Reviewing the use of resilience concepts in forest sciences. <em>Current Forestry Reports, 6</em>, 61-80.</span></p> </li> <li> <p><span>European Commission. (2023a). Proposal for a REGULATION OF THE EUROPEAN PARLIAMENT AND OF THE COUNCIL on a monitoring framework for resilient European forests. <em>Directorate-General for Environment</em>. Lastly retrieved on December 17, 2023 from </span><span><a href="https://ec.europa.eu/transparency/documents-register/detail?ref=COM(2023)728&amp;amp;lang=en&amp;lang=en"><span>https://ec.europa.eu/transparency/documents-register/detail?ref=COM(2023)728&amp;amp;lang=en&amp;lang=en</span></a></span><span>. </span></p> </li> <li> <p><span>European Parliament. (2024, February 27). European Parliament legislative resolution of 27 February 2024 on the proposal for a regulation of the European Parliament and of the Council on nature restoration (COM(2022)0304 &ndash; C9-0208/2022 &ndash; 2022/0195(COD)). Lastly retrieved on April 26, 2024 from </span><span><a href="https://www.europarl.europa.eu/doceo/document/TA-9-2024-0089_EN.html"><span>https://www.europarl.europa.eu/doceo/document/TA-9-2024-0089_EN.html</span></a></span><span>. </span></p> </li> </ul>

opencc-by-4.0Jun 2024View details →
zenodo36/100

Data from the article "Short-interval wildfire and drought overwhelm boreal forest resilience" Whitman et al., Scientific Reports, 2019

<p>Field data collected in the Northwest Territories and Wood Buffalo National Park, as well as plot locations, for the study &quot;Short-interval wildfire and drought overwhelm boreal forest resilience&quot; by Whitman et al. in Scientific Reports, 2019.</p> <p>For metadata or assistance please contact the authors. If you intend to publish research using these data, please contact and inform the authors, and cite the source article.</p>

opencc-by-4.0Nov 2019View details →
dryad36/100

Autogenic regulation and resilience in tropical dry forest

<p>1. Engineering resilience, a forest's ability to maintain its properties in the event of disturbance, comprises two components: resistance and recovery. In human-dominated landscapes, forest resilience depends mostly on recovery. Forest recovery largely depends on autogenic regulation, which entails a negative feedback loop between rates of change of forest state variables and state variables themselves. Hence community dynamics changes in response to deviations from forest equilibrium state. Based on the premise that autogenic regulation is a key aspect of the recovery process, here we tested the hypothesis that combined old-growth forest (OGF) and secondary forest (SF) dynamics should show autogenic regulation in state variables, and thus convergence towards OGF-based reference points, indicating forest resilience.</p> <p>2. We integrated dynamic data for OGF (11-year monitoring) and SF (16-year monitoring) to analyse three key state variables (basal area, tree density, species richness), their annual rates of change, and their underlying demographic processes (recruitment, growth, mortality). We examined autogenic regulation through generalized linear mixed-effects models (GLMMs) to quantify functional relationships between rates of change of state variables (and underlying demographic processes), and their respective state variables.</p> <p>3. State variables in OGF decreased moderately over time, against our prediction of OGF constancy. In turn, the three state variables analysed showed negative relationships with their respective rates of change, which allows the return of SF to OGF values after disturbance. In all cases, recruitment decreased with increasing values in state variables, while mortality increased.</p> <p>4. The observed negative relationships between state variables, their rates of change and their underlying demographic processes support our hypothesis of integrated OGF and SF dynamics showing autogenic regulation for state variables. Competition seems to be a major driver of autogenic regulation given its dependence on a resource availability that declines as forest structure develops.</p> <p>5. Synthesis. Based on a straightforward and comprehensive approach to quantify the extent to which tropical forest dynamics is self-regulated, this study highlights the role of autogenic regulation in tropical dry forest as a basic component of its resilience. This approach is potentially valuable for a generalised assessment of engineering resilience of forests worldwide.</p>

opencc-zeroDec 2020View details →

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Allen Brain Atlas

Allen Brain Atlas is an Allen Institute collection of brain map atlases, datasets, APIs, and analysis tools covering mouse, human, and non-human primate brain resources.

allen-brain-atlas
neuroscienceopenDocumentation, web resources, and API references are available online.
Last verified 2026-04-30Open record

Annotated Behaviour and Observability Dataset (ABODe)

ABODe is a University of Edinburgh DataShare dataset for behavior classification in group-housed mice using home-cage video, identities, bounding boxes, ground-plate positions, and annotator labels.

abode-home-cage
behavioral-neuroscienceopenThe DataShare record exposes download links for annotations, documentation, license text, and the zipped per-snippet data directory.
Last verified 2026-04-30Open record

DANDI Archive for NWB datasets

DANDI is a BRAIN Initiative archive for publishing and sharing neurophysiology data, including electrophysiology, optophysiology, and behavioral data packaged as NWB and related standards.

dandi-nwb
electrophysiologyopenPublished Dandiset metadata and archive endpoints are available through the production DANDI API.
Last verified 2026-04-30Open record

International Brain Laboratory public data

The International Brain Laboratory public data releases expose standardized mouse decision-making experiments, including Neuropixels recordings, widefield calcium imaging, behavior, and session metadata accessed through the ONE API.

ibl
behavioral-neuroscienceopenPublic sessions can be searched and loaded from the IBL public data server through ONE.
Last verified 2026-04-29Open record

OpenNeuro

OpenNeuro is a free, open platform for sharing neuroimaging datasets, with public search, dataset pages, and download paths for web, S3, DataLad, and the OpenNeuro CLI.

openneuro
neuroscienceopenPublished datasets are available on demand over the internet.
Last verified 2026-04-29Open record