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92 results for “tree cover”
CATCD: The First 30m China Annual Tree Cover Dataset from 1985 to 2024 (Part Ⅱ: 1992-1998)
<p><strong>China Annual Tree Cover Dataset (CATCD)</strong> is the first long-term, high spatial resolution annual tree cover dataset for China, generated through the integration of time series of Landsat imagery and ensemble learning techniques based on random forests. The reliability and accuracy of CATCD have been validated using multi-source reference data (correlation: 0.70-0.96, RMSE: 5.6%-25.2%). The current version of CATCD (v 0.0.1) includes 30m resolution annual tree cover datasets for China from 1985 to 2024. Each year's data is stored in a GeoTIFF file with 'TreeCover' and 'Uncertainty' bands. TreeCover data ranges from 0 to 100, representing the percentage of tree cover in each pixel, while Uncertainty represents the uncertainty estimation of tree cover derived through 5-fold cross-validation, expressed as the standard deviation of predictions from five models. In addition to providing annual tree cover information for China, users can extract forest dynamic ranges by setting tree cover thresholds using CATCD. </p> <p><strong>In addition to Zenodo, users can access, download, and reanalyze CATCD on the </strong><strong>Google Earth Engine</strong> <strong>platform via the following link:</strong> <a href="https://code.earthengine.google.com/a28dcf064bba1975f5a6c28400c41edb">https://code.earthengine.google.com/a28dcf064bba1975f5a6c28400c41edb</a>. CATCD is expected to be updated annually at the end of each year on both the Zenodo and GEE platform. Please note that while Zenodo contains annual tree cover products, the uncertainty estimates pertaining to tree cover are not available within its repository. However, these estimates have been furnished within the Google Earth Engine (GEE) platform.</p> <p><a target="_blank"><strong>The dataset has now been updated to include data up to 2024.</strong></a></p> <p><strong>Data citation:</strong> Yaotong Cai, Xiaocong Xu, Sheng Nie, Cheng Wang, Peng Zhu, Yujiu Xiong, and Xiaoping Liu (2024). Unveiling Spatiotemporal Tree Cover Patterns in China: The First 30m Annual Tree Cover Mapping from 1985 to 2023. <em>ISPRS Journal of Photogrammetry and Remote Sensing</em>, 216: 240-258. DOI:10.1016/j.isprsjprs.2024.08.001.</p> <p>For data-related inquiries, please contact Dr. Yaotong Cai (<strong><a target="_new">caiyt33@mail2.sysu.edu.cn</a></strong>).</p>
Canopy cover and ecological restoration increase natural regeneration of rainforest trees in the Western Ghats, India
<p>Restoration of canopy cover through tree planting can assist in overcoming barriers to natural regeneration and catalyze recovery of degraded tropical forests. India has made international pledges to restore millions of hectares of degraded forests by 2030, but lacks empirical research on regeneration under different types of planted and natural overstories to guide this mission. We conducted a field study (65 plots of 25 m<sup>2</sup>) to examine the influence of overstory type and canopy cover on naturally regenerating tree seedlings across degraded rainforests (DR), mixed-native species ecological restoration sites (ER), monoculture eucalypt plantations (MP), and mature "benchmark" rainforests (BR) in the Western Ghats mountains of peninsular India. ER had higher native tree seedling densities and recovered community composition towards BR levels compared to DR, while communities in MP shifted in the opposite direction. Densities of native late-successional species increased with canopy cover (particularly in ER), but greater canopy cover was also associated with increases in alien species, a few of which are shade-tolerant. Further, in a nursery experiment comprising four rainforest species, seed germination and early survival increased with shade, but did not vary across soils originating from DR, ER, and MP. Our findings show that while improving canopy cover is important, doing so by planting diverse native species, and controlling invasive alien species, can benefit rainforest recovery in degraded rainforest fragments. Conversely, planting non-native monocultures in degraded forests, which is a prevalent practice in India, could prove counterproductive for forest recovery in the long term.</p>
Stratification reference points for Luhansk region tree cover change (1996,2000,2013,2020)
<p><strong>Occupation of Environment: Long-Term Consequences of war in Ukraine on conservation of forested areas of Emerald Network in the Luhansk region - </strong>Generated sample points that reflect stratification type and landcover change for Luhansk region for tree cover change area estimation. The division into territories controlled by Ukraine and Russia made based on the demarcation line with consideration of the buffer zone, where Ukrainian institutions were disconnected due to the active warfare in purpose of separation of zones with interruption of Ukrainian environmental policies.</p>
Luhansk Region Tree Cover Change Stratification Map (1996-2020)
<p>Luhansk region tree cover change stratification map created based on the tree cover masks for Luhansk region for 1996, 2000, 2013 and 2020 with 30 m. spatial resolution. Strata classes: 1 - Stable forest, 2 - Forest change, 3 - Stable not forest</p>
Genotype data of 970 Pedunculate oak trees (Quercus robur L.) in Russia and neighbouring countries at 385 gene loci covering the nuclear and organelle genome
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Data from: Spatial transitions in tree cover are associated with soil hydrology, but not with grass biomass, fire frequency, or herbivore biomass in Serengeti savannahs
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Forest cover and fruit crop size differentially influence frugivory of select rainforest tree species in Western Ghats, India (Part I)
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Genotype data of 1970 Pedunculate oak trees (Quercus robur L.) in 13 European countries at 381 gene loci covering the nuclear and organelle genome
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Short-term effects of continuous cover forestry on forest biomass production and biodiversity: Applying single-tree selection in forests dominated by Picea abies
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Forest cover and fruit crop size differentially influence frugivory of select rainforest tree species in Western Ghats, India (Part II)
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Data from: Divergent rates of change between tree cover types in a tropical pastoral region
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Tree cover limits occupancy of a declining game bird
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Canopy cover and ecological restoration increase natural regeneration of rainforest trees in the Western Ghats, India
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Data from: Current inequality and future potential of US urban tree cover for reducing heat-related health impacts
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Sevilleta site, station Deep Well, study of plant cover of Cylindropuntia imbricata var. imbricata (tree cholla) in units of percent on a yearly timescale
The EcoTrends project was established in 2004 by Dr. Debra Peters (Jornada Basin LTER, USDA-ARS Jornada Experimental Range) and Dr. Ariel Lugo (Luquillo LTER, USDA-FS Luquillo Experimental Forest) to support the collection and analysis of long-term ecological datasets. The project is a large synthesis effort focused on improving the accessibility and use of long-term data. At present, there are ~50 state and federally funded research sites that are participating and contributing to the EcoTrends project, including all 26 Long-Term Ecological Research (LTER) sites and sites funded by the USDA Agriculture Research Service (ARS), USDA Forest Service, US Department of Energy, US Geological Survey (USGS) and numerous universities. Data from the EcoTrends project are available through an exploratory web portal (http://www.ecotrends.info). This web portal enables the continuation of data compilation and accessibility by users through an interactive web application. Ongoing data compilation is updated through both manual and automatic processing as part of the LTER Provenance Aware Synthesis Tracking Architecture (PASTA). The web portal is a collaboration between the Jornada LTER and the LTER Network Office. The following dataset from Sevilleta (SEV) contains plant cover of Cylindropuntia imbricata var. imbricata (tree cholla) measurements in percent units and were aggregated to a yearly timescale.
H. J. Andrews Experimental Forest site, station Andrews Watershed 3, study of plant cover of trees in units of percent on a yearly timescale
The EcoTrends project was established in 2004 by Dr. Debra Peters (Jornada Basin LTER, USDA-ARS Jornada Experimental Range) and Dr. Ariel Lugo (Luquillo LTER, USDA-FS Luquillo Experimental Forest) to support the collection and analysis of long-term ecological datasets. The project is a large synthesis effort focused on improving the accessibility and use of long-term data. At present, there are ~50 state and federally funded research sites that are participating and contributing to the EcoTrends project, including all 26 Long-Term Ecological Research (LTER) sites and sites funded by the USDA Agriculture Research Service (ARS), USDA Forest Service, US Department of Energy, US Geological Survey (USGS) and numerous universities. Data from the EcoTrends project are available through an exploratory web portal (http://www.ecotrends.info). This web portal enables the continuation of data compilation and accessibility by users through an interactive web application. Ongoing data compilation is updated through both manual and automatic processing as part of the LTER Provenance Aware Synthesis Tracking Architecture (PASTA). The web portal is a collaboration between the Jornada LTER and the LTER Network Office. The following dataset from H. J. Andrews Experimental Forest (AND) contains plant cover of trees measurements in percent units and were aggregated to a yearly timescale.
H. J. Andrews Experimental Forest site, station Andrews Watershed 1, study of plant cover of trees in units of percent on a yearly timescale
The EcoTrends project was established in 2004 by Dr. Debra Peters (Jornada Basin LTER, USDA-ARS Jornada Experimental Range) and Dr. Ariel Lugo (Luquillo LTER, USDA-FS Luquillo Experimental Forest) to support the collection and analysis of long-term ecological datasets. The project is a large synthesis effort focused on improving the accessibility and use of long-term data. At present, there are ~50 state and federally funded research sites that are participating and contributing to the EcoTrends project, including all 26 Long-Term Ecological Research (LTER) sites and sites funded by the USDA Agriculture Research Service (ARS), USDA Forest Service, US Department of Energy, US Geological Survey (USGS) and numerous universities. Data from the EcoTrends project are available through an exploratory web portal (http://www.ecotrends.info). This web portal enables the continuation of data compilation and accessibility by users through an interactive web application. Ongoing data compilation is updated through both manual and automatic processing as part of the LTER Provenance Aware Synthesis Tracking Architecture (PASTA). The web portal is a collaboration between the Jornada LTER and the LTER Network Office. The following dataset from H. J. Andrews Experimental Forest (AND) contains plant cover of trees measurements in percent units and were aggregated to a yearly timescale.
Tree regeneration after fire: Aspen removal experiment, vegetation cover 2000 - 2002
This research was intended to address the general question of whether asexual stem regeneration of trembling aspen (Populus tremuloides Michx.) reduces rates of establishment and growth of potential invading conifer species during the initial years following fire. Interactions between aspen and conifers were studied under natural conditions in a burned aspen stand with a high potential for aspen re-sprouting. The study contributes to our understanding of whether competitive interactions between tree seedlings are likely to help maintain deciduous stands across disturbance cycles by reducing the potential for successful conifer establishment. Vegetation cover measurements made on July 31, 2000. Data are visual estimates of % cover, made in a 1x1m quadrat centered in each plot. Values are listed by species, with T=trace (<0.5%) and Out=present outside the cover quadrat but inside the plot. A key to the species codes listed in the column headers is found in spcode.txt.
Data from: Congruent phylogeographic patterns of eight tree species in Atlantic Central Africa provide insights on the past dynamics of forest cover
Cycles of Quaternary climate change are assumed to be major drivers of African rainforest dynamics and evolution. However, most hypotheses on past vegetation dynamics relied on palaeobotanical records, an approach lacking spatial resolution, and on current patterns of species diversity and endemism, an approach confounding history and environmental determinism. In this context, a comparative phylogeographic study of rainforest species represents a complementary approach because Pleistocene climate fluctuations may have left interpretable signatures in the patterns of genetic diversity within species. Using 1274 plastid DNA sequences from eight tree species (Afrostyrax kamerunensis, A. lepidophyllus, Erythrophleum suaveolens, Greenwayodendron suaveolens, Milicia excelsa, Santiria trimera, Scorodophloeus zenkeri, Symphonia globulifera) sampled in 50 populations of Atlantic Central Africa (ACA), we averaged divergence across species to produce the first map of the region synthesizing genetic distinctiveness and standardized divergence within and among localities. Significant congruence in divergence was detected mostly among five of the eight species and was stronger in the northern ACA. This pattern is compatible with a scenario of past forest fragmentation and recolonization whereby forests from eastern Cameroon and north-eastern Gabon would have been more affected by past climate change than those of western Cameroon (where one or more refugia would have occurred). By contrast, southern ACA (Gabon) displayed low congruence among species that may reflect less drastic past forest fragmentation or a more complex history of vegetation changes. Finally, we also highlight the potential impact of current environmental barriers on spatial genetic structures.
Data from: Alternative tree-cover states of the boreal ecosystem: a conceptual model
Aim: Previous analyses of remotely-sensed data detected the multimodality of the tree-cover distribution of the boreal forest, and identified areas with potentially alternative tree-cover states. This paper aims at investigating the causes of multimodality and multistability of the boreal forest, their influence on the asymmetric tree-species distribution between Eurasia and North America, and whether multistability could be associated with recent greening trends in LAI/NDVI. Location: Eurasian and North American boreal forests. Time period: 2000--2010. Major taxa studied: Boreal forest plant functional types. Methods: We employ a conceptual model based on tree-species competition to simulate the sensitivity of tree cover to stochastic disturbances and to changes in environmental factors. We include different plant functional types based on survival adaptations, and force the model with remotely-sensed environmental data. We analyse the model as a dynamical system. We use metrics from statistics and information theory to compare the detection of alternative tree-cover states and greening trends in LAI/NDVI. Results: We find that multimodality and multistability can emerge through competition between different plant functional types. Additionally, our model is able to reproduce the asymmetry in tree-species distribution between Eurasia and North America. Moreover, changes in permafrost distribution can be associated with phenomenological bifurcation points of the model. Finally, we find that the detection of multistable areas is not affected by recent vegetation trends, whereas shifts between alternative states could have affected the greening trends. Main conclusions: Tree-cover multistability in the boreal region can emerge through competition between species subject to periodic disturbances. Changes in permafrost thaw and distribution could be responsible for the asymmetry in tree-species distribution between North America and Eurasia. Climate change and permafrost degradation could cause shifts in tree-cover states and dominant species. Recent vegetation greening trends in multistable areas could have been affected by shifts between alternative states.
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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.
Annotated Behaviour and Observability Dataset (ABODe)
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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.
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.
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.