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331 results for “plantation”
Annual oil palm plantation maps in Malaysia and Indonesia from 2001 to 2018
<p>This package supplements the following paper submitted to ESSD: <strong>Annual oil palm plantation maps in Malaysia and Indonesia from 2001 to 2016</strong>.<br> This dataset contains the updated version (v4) of the annual oil palm plantation maps for Malaysia and Indonesia from 2001 to 2018 at 100 resolution. </p>
Health assessment of plantations based on LiDAR canopy spatial structure parameters
<p>The Yellow River Delta (YRD) has China's largest artificial <em>Robinia pseudoacacia</em> forest, which was planted in the late 1970s and suffered extensive dieback in the 1990s. The health grade of the <em>R.pseudoacacia</em> forest (named canopy vigor grade, CVG) could be achieved by using high-resolution images and canopy vigor indicators (CVIs). However, a previous study showed that there was no significant correlation between CVG and the field-estimated aboveground biomass (AGB) of <em>R.pseudoacacia</em> forest. Therefore, this study aims to construct forest health indicators (FHIs) based on canopy spatial structure parameters extracted from LiDAR. The FHIs included Weibull_α (the scale parameter of the Weibull density function that reflects the shape of the tree canopy), VCI (vertical complexity index), sdCC (the standard deviation of canopy cover), H<sub>99</sub> (the 99th percentile height) and cvLAD (the coefficient of variation of leaf area density), and could significantly distinguish three forest health grades (FHG) (<em>p</em> < 0.05). The FHG was positively correlated with forest AGB (<em>r<sub>s</sub></em> = 0.51, <em>p</em> = 0.004), and the similarity value with CVG was 63.33%. The results of this study confirmed that the FHIs can reflect both canopy vigor and tree productivity, and distinguish forest health status without prior classification information.</p>
Fig. 3 in Effects Of Leaf-Litter Addition On Carabid Beetles In A Non-Native Norway Spruce Plantation
Fig. 3. Seasonal dynamics of the average number of individuals per trap for the two species (± S. E.)
Fig. 1 in Effects Of Leaf-Litter Addition On Carabid Beetles In A Non-Native Norway Spruce Plantation
Fig. 1. Ordination (NMDS) of the pitfall catches based on the Bray-Curtis similarity index. ¡: Traps of the control plots and l: Traps of the leaf-litter plots
Fig. 1 in Taxonomic Structure Of Nematode Communities Of Epiphytic Mosses In Green Plantations Of Chernihiv, Ukraine
Fig. 1. Taxonomic diversity of nematodes belonging to different orders that inhabit epiphytic mosses in green plantations of Chernihiv: 1 — Enoplida; 2 — Triplonchida; 3 — Dorylaimida; 4 — Mononchida; 5 — Monhysterida; 6 — Plectida; 7 — Rhabditida; 8 — Tylenchida.
Fig. 2 in Taxonomic Structure Of Nematode Communities Of Epiphytic Mosses In Green Plantations Of Chernihiv, Ukraine
Fig. 2. Structure of nematode fauna of epiphytic mosses in green plantations of Chernihiv according to the frequency of occurrence.
Fig. 2 in Species Complexes Of Predatory Phytoseiid Mites (Parasitiformes, Phytoseiidae) In Green Urban Plantations Of Uman' (Ukraine)
Fig. 2. Phytoseiid mites occurrence on plants in green urban plantations of Uman': 1 — E. finlandicus, 2 — T. aceri, 3 — T. tiliarum, 4 — D. echinus, 5 — K. aberrans, 6 — P. incognitus, 7 — A. andersoni, 8 — P. soleiger, 9 — T. laurae, 10 — A. herbarius, 11 — G. longipilus, 12 — A. rademacheri.
Sharing land via keystone structure: retaining naturally regenerated trees may efficiently benefit birds in plantations
<p class="MsoListParagraph"><span>Meeting food/wood demands with increasing human population and per-capita consumption is a pressing conservation issue, and is often framed as a choice between land sparing and land sharing. Although most empirical studies comparing the efficacy of land sparing and sharing supported land sparing, land sharing may be more efficient if its performance is tested by rigorous experimental design and habitat structures providing crucial resources for various species––keystone structures––are clearly involved. We launched a manipulative experiment to retain naturally regenerated broad-leaved trees when harvesting conifer plantations in central Hokkaido, northern Japan. We surveyed birds in harvested treatments, unharvested plantation controls and natural forest references one-year before the harvest and for three consecutive post-harvest years. We developed a hierarchical community model separating abundance and space-use (territorial proportion overlapping treatment plots) subject to imperfect detection to assess population consequences of retention harvesting. Application of the model to our data showed that retaining some broad-leaved trees increased total abundance of forest birds over the harvest rotation cycle. Specifically, pre-harvest survey showed that the amount of broad-leaved trees increased forest bird abundance in a concave manner (i.e., in a form of diminishing-return). After harvesting, a small amount of retained broad-leaved trees mitigated negative harvesting impacts on abundance though retention harvesting reduced the space-use. Nevertheless, positive retention effects on the post-harvest bird density as the product of abundance and space-use exhibited a concave form. Thus, small profit reductions were shown to yield large increases in forest bird abundance. The difference in bird abundance between clear-cutting and low amounts of broad-leaved tree retention increased slightly from the first to second post-harvesting years. We conclude that retaining a small amount of broad-leaved trees may be a cost-effective on-site conservation approach for the management of conifer plantations. Retention of 20-30 broad-leaved trees per ha may be sufficient to maintain higher forest bird abundance than clear-cutting over the rotation cycle. Retention approaches can be incorporated into management systems using certification schemes and best management practices. Developing an awareness of the roles and values of naturally regenerated trees is needed to diversify plantations.</span></p>
Plant management but not fertilization mediates soil carbon emission and microbial community composition in subtropical Eucalyptus plantations
<p><span>The diversity of </span><span>plant functional group</span><span>s</span><span> in plantations affects soil carbon, but we have limited understanding of the underlying mechanisms for how plant management affects soil carbon dynamics. Here, we conducted a 3-year manipulation experiment of plant functional groups that included understory removal, tree root trenching, and fertilization treatments in 2-year-old and 6-year-old <em>Eucalyptus</em> plantations in the subtropical region. The results showed that soil respiration was significantly suppressed by understory removal (-38%), tree root trenching (-41%), and their interactions (-54%), but that fertilization alone and in interactions had no significant effect. The Chao1 indices for soil bacterial and fungal diversity significantly decreased with understory removal in the 2-year-old plantation and with tree root trenching in the 6-year-old plantation. Soil bacterial and fungal communities were also affected by understory removal and tree root trenching. Soil respiration, physicochemical characteristics, microbial diversity, and community composition were significantly affected by plantation age. Reductions in soil carbon emissions were associated with reductions in plant functional groups and soil microbial groups, while increases in soil respiration were associated with soil physicochemical factors, soil temperature, and plantation age. Our findings highlight that plant managements are of great significance to the soil carbon emission processes in afforested plantations.</span></p>
Unpublished data on leaf rust infection and herbivory in willow plantations
<p>The data were collected during 2015 and 2018 within ~20 willow plantations in the Uppsala area, Sweden. I neither found the time nor research funding to use the data in a scientific publication or otherwise.</p> <p>The data from 2015 also offer canopy openness and vegetation cover within the willow short rotation plantations. The data from 2018 also included the establishment of plots for measuring stem diameter that were intended to be measures again.</p> <p>An associated data set (10.5281/zenodo.6995718) consist of similar estimation on willow bushes in Europe.</p>
Supporting data sets for "Estimating Carbon Fixation of Plant Organs for Afforestation Monitoring using a Process-based Ecosystem Model and Ecophysiological Parameter Optimization". (the survey of tree breast diameter and tree height in 11-year old Eucommia ulmoides plantation, values of simulation results used in figures and tables.)
<p>Supporting data sets for Miyauchi et al., Ecology and Evolution, 2019 (accepted).</p> <p>The files store: </p> <p>(1) The survey of tree breast diameter and tree height in <em>Eucommia ulmoides</em> plantation<em>.</em> The ring and stem analysis and dry weight of seven harvested sample trees in the plantation.</p> <p>(2) Values of optimization result used fig.7.</p> <p>(3) Values of prediction result used fig.8. and table 4.</p> <p>(4) Values of optimized parameters by optimization methods, parameter range and constrain.</p>
Fig. 6 in E Va L U At I O N O F A L L E L I C C O N T E N T I N A N Experimental Alder (Alnus Spp.) Plantation
Fig. 6. Mean frequency of A. incana, A. glutinosa and hybrid loci in groups of different height in 2014. Height groups:1: 3.55-4.88 m; 2: 2.50-3.49 m, 3: 1.52-2.43 m, 4: 0.65-1.44 m.
Fig. 4 in E Va L U At I O N O F A L L E L I C C O N T E N T I N A N Experimental Alder (Alnus Spp.) Plantation
Fig. 4. Allele frequency of SSR marker L3.1 alleles in the mother tree seed plantation (30 individuals).
Fig. 3 in E Va L U At I O N O F A L L E L I C C O N T E N T I N A N Experimental Alder (Alnus Spp.) Plantation
Fig. 3. Allele frequency of SSR marker L3.1 alleles in the experimental plantation (187 individuals).
Fig. 1 in E Va L U At I O N O F A L L E L I C C O N T E N T I N A N Experimental Alder (Alnus Spp.) Plantation
Fig. 1. Morphological characterisation of experimental hybrid plantation. 1- A. glutinosa leaf shape; 2 to 4 intermediate leaf shape; 5 – A. incana leaf shape; S- Shrublike crown shape, O- outspread crown shape, C- compact crown shape; DC-Dark coarse bark, LC-Light coarse bark, LS- Light smooth bark.
Fig. 2 in E Va L U At I O N O F A L L E L I C C O N T E N T I N A N Experimental Alder (Alnus Spp.) Plantation
Fig. 2. Polymorphism detection using electrophoretic separation of restriction enzyme digested PCR products and species-specific primers. A) Ptr1 (12F/R), CaiI; B) 5S rRNA gene, AdeI; C) Aln g 4 gene (2F/R), XapI; D) thiazole biosynthetic enzyme (s16 F/R), MspI; E) thiazole biosynthetic enzyme (s16 F/R), BshNI; F) pr10A gene (10 sB, 10sM, 10 F/R).
Fig. 2 in Evaluation Of Winter Hardiness In Different Cultivated Tilia Taxa - Experience Of Some Most Valuable Dendrological Plantations In Central Latvia (Vidzeme) After Extremely Hard Winter In Year 2009/2010
Fig. 2. Long-term average temperatures of January in Latvia (by Turlajs 2007) with inventoried objects in central part of Latvia.
Gahagan Bifaces from the Gahagan Mound, George C. Davis, and Mounds Plantation Sites
<p>This figure includes images of the intact or reconstructed Gahagan bifaces from the Gahagan Mound, George C. Davis, and Mounds Plantation sites. All but three of these bifaces were recovered from Caddo burials, and fall under the purview of the Native American Graves Protection and Repatriation Act (NAGPRA). Permission to collect these data was provided by the Caddo Nation of Oklahoma.</p> <p>Figure caption:</p> <p>Gahagan bifaces from the Gahagan Mound, George C. Davis, and Mounds Plantation sites organized by context and length; a1, 569; b1, 543; c1, 551; d1, 541; e1, 546; f1, 544; g1, 545; h1, 489; i1, 532; j1, 548; k1, 550; l1, 533; m1, 549; n1, 547; o1, 490; p1, 542; q1, 593; r1, 666; s1, 605; t1, 622; u1, 606; v1, 609; w1, 623; x1, 608; y1, 607; z1, 662; aa1, 611; bb1, 610; cc1, 612; dd1, 613; ee1, 614; a2, ET221-993; b2, ET221-1260A; c2, ET221-1016; d2, 463-1; e2, 424-39; f2, 424-53; g2, 424-50; h2, 424-41; i2, 424-221; j2, 424-218; k2, 463-16; l2, 424-230; m2, 463-23; n2, 424-169; o2, 424-33; p2, 4078-8; q2, 4078-9; r2, 4078-11; s2, 4078-72; t2, 4078-45; u2, 4078-12; v2, 4078-13; w2, 4078-72; x2, 4078-14; y2, 4078-32; z2, 4078-22; aa2, 4078-14; a3, 3Ba90; b3, 3Bb6; c3, 3Bb1; d3, ThnBlk; e3, 3Bb7; f3, 3Bb3; g3, 3Bb4; h3, 3Bb8; i3, 3Bb5; j3, Case2LG; k3, Case2SM; l3, LGGray. Bifaces w1, z1, and aa2 were not used in the analysis due to basal fractures, but are included here for visual comparative purposes. Specimens from 6L3, 21R4, and F3 at the George C. Davis site, and from Burial Pit 1 and Burial Pit 8 at the Mounds Plantation site, are also included in the figure for visual comparative purposes, but are excluded from the analysis.</p>
Figure 2 in Comparison of dung beetle communities (Coleoptera: Scarabaeidae: Scarabaeinae) in oil palm plantations and native forest in the eastern Amazon, Brazil
Figure 2 Extrapolation and rarefaction of species richness in forest and oil palm plantation dung beetle communities. Shaded area represents 95% confidence limits. This figure is in color in the electronic version.
Figure 1 in Comparison of dung beetle communities (Coleoptera: Scarabaeidae: Scarabaeinae) in oil palm plantations and native forest in the eastern Amazon, Brazil
Figure 1 Location of the study area in the Brazilian Amazon, in the state of Pará. The right map represents the study area and the spatial distribution of 10 transects (red lines) in forest and oil palm habitats. Green and orange areas indicate primary forest and oil palm plantations, respectively (modified from Mendes-Oliveira et al., 2017). This figure is in color in the electronic version.
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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.