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331 results for “plantation”

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dryad32/100

Data from: Tree species diversity alters plant defence investment in an experimental forest plantation in Southern Mexico

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publicNov 2017View details →
dryad32/100

Data from: Contrasting fine-root production, survival and soil CO2 efflux in pine and poplar plantations

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publicJul 2018View details →
dryad32/100

Data from: Expansion of industrial plantations continues to threaten Malayan tiger habitat

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publicJan 2019View details →
dryad32/100

Data from: A comparison of clearfelling and gradual thinning of plantations for the restoration of insect herbivores and woodland plants

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publicJul 2016View details →
dryad32/100

Data from: Soil nitrogen-cycling responses to conversion of lowland forests to oil palm and rubber plantations in Sumatra, Indonesia

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publicAug 2015View details →
dryad32/100

Data from: Degradation of root community traits as indicator for transformation of tropical lowland rain forests into oil palm and rubber plantations

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publicSep 2016View details →
dryad32/100

Genetic diversity and the origin of commercial plantation of Indonesian teak on Java Island

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publicMar 2020View details →
dryad32/100

Dataset: Multi-scale mosaics in top-down pest control by ants from natural coffee forests to plantations

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publicMar 2021View details →
dryad32/100

Effects of long-term nitrogen addition on water use by Cunninghamia lanceolate in a subtropical plantation

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publicFeb 2022View details →
dryad32/100

A global meta-analysis of the impacts of tree plantations on biodiversity

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publicJan 2022View details →
zenodo28/100

Low functional richness and high functional redundancy of Neotropical dung beetle assemblages in forest-replacing sugarcane plantations

<p>Dung beetles collected in forest interior areas, forest edge, small fragments, sugarcane plantations (matrix of primary forest) and sugarcane plantations (matrix of small fragments) of a Brazilian Atlantic forest landscape (Serra Grande, Alagoas).</p>

opencc-byDec 2019View details →
zenodo28/100

Forest structure database for plantation forests over China-CPSDv0

<p>A country-wide synthetic structure database for plantation forests over China was developed by surveying more than 600 peer-reviewed literatures using a meta-analysis protocol. This new database covers tree species, mean tree age, mean tree height, stand density, canopy coverage, diameter at breast height, as well as the associated ancillary <em>in-situ</em> topographical and soil properties. Totally 594 published studies concerning diverse forest structure parameters were compiled for 46 tree species over China.</p> <p>For the convenience of users, the data is stored in the format of EXCEL, and the file name is CPSDv0-final.xlsx. Blanks in the EXCEL file indicate no available records.</p>

opencc-by-4.0Mar 2020View details →
dryad28/100

Data from: An environmental impact assessment of different management regimes in eucalypt plantations in southern China using Landscape Function Analysis

<p>There are global concerns regarding the detrimental environmental impacts of industrial forest plantations developed over the past 30 years. To address this concern, the Landscape Function Analysis methodology was used to rapidly assess indices of soil stability, water infiltration, and nutrient cycling within eucalypt plantations at different growth stages and under different management regimes in Guangxi Province, China. Results showed that these plantations under both regimes were approaching an ecologically functional state by the time of harvest. However, within the plantation management that included the burning of post-harvest biomass residues, indices of water infiltration, and nutrient cycling were significantly lower than within the plantation that retained post-harvest residues. Indicators of rain splash protection, perennial vegetation cover, and litter accumulation were all lower in the plantation that practiced residue burning and pre-planting cultivation. Retention of post-harvest residues improves landscape functionality at the time of re-planting. Our results indicate that burning and extensive cultivation prior to re-planting should be minimized.</p>

opencc-zeroMay 2020View details →
zenodo28/100

Fig 1 from: Masson MV, Tavares WS, Alves JM, Ferreira-Filho PJ, Barbosa LR, Wilcken CF, Zanuncio JC (2020) Bioecological aspects of the common black field cricket, Gryllus assimilis (Orthoptera: Gryllidae) in the laboratory and in Eucalyptus (Myrtaceae) plantations. Journal of Orthoptera Research 29(1): 83-89. https://doi.org/10.3897/jor.29.48966

Fig 1 Minimum, maximum, and mean duration of the pre-oviposition, oviposition, and post-oviposition periods of Gryllus assimilis (Orthoptera: Gryllidae) in the laboratory (N = 50 couples).

opencc-by-4.0Jun 2020View details →
zenodo28/100

Fig 2 from: Masson MV, Tavares WS, Alves JM, Ferreira-Filho PJ, Barbosa LR, Wilcken CF, Zanuncio JC (2020) Bioecological aspects of the common black field cricket, Gryllus assimilis (Orthoptera: Gryllidae) in the laboratory and in Eucalyptus (Myrtaceae) plantations. Journal of Orthoptera Research 29(1): 83-89. https://doi.org/10.3897/jor.29.48966

Fig 2 Gryllus assimilis (Orthoptera: Gryllidae). A. Adult; B, C. Damage to Eucalyptus sp. (Myrtaceae).

opencc-by-4.0Jun 2020View details →
zenodo28/100

Bat activity in riparian reserves in forest and oil palm plantations

<b>Description: </b><p>Number of bat calls recorded by an Echometer-3 recorder during 10-minute point counts. Counts are classified within 5 acoustic call types, and several Rhinolophoid species where possible.</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/12"><b>Investigating the importance of riparian reserves for insectivorous bat species in oil palm and forest estates in Sabah, Malaysia</b></a></p><p><b>Funding: </b>These data were collected as part of research funded by: </p><ul><li>UK Natural Environment Research Council (NERC) (Human Modified Tropical Forests programme &amp; a PhD scholarship jointly funded by University of Kent &amp; NERC &amp; EnvEast DTP scholarship, NE/K016407/1 &amp; NE/L002582/1)</li></ul><p>This dataset is released under the CC-BY 4.0 licence, requiring that you cite the dataset in any outputs, but has the additional condition that you acknowledge the contribution of these funders in any outputs.</p><p></p><p><b>Permits: </b>These data were collected under permit from the following authorities:</p><ul><li>Sabah Biodiversity Council (Research licence JKM/MBS.1000-2/2(374))</li></ul><p></p><p><b>XML metadata: </b>GEMINI compliant metadata for this dataset is available <a href="https://www.safeproject.net/datasets/xml_metadata?id=3971012">here</a></p><p><b>Files: </b>This consists of 1 file: SAFE_data_archive_Bat_Riparian_Acoustic_Struebig_Mullin_Yoh_v2_0308202.xlsx</p><p><b>SAFE_data_archive_Bat_Riparian_Acoustic_Struebig_Mullin_Yoh_v2_0308202.xlsx</b></p><p>This file contains dataset metadata and 1 data tables:</p><ol><li><p><b>All data </b> (described in worksheet MasterData)</p><p>Description: All bat passes and their metadata inc frequencies &amp; species identification for a subset of recordings when possible</p><p>Number of fields: 19</p><p>Number of data rows: 5696</p><p>Fields: </p><ul><li><b>Location</b>: where data was collected (Field type: location)</li><li><b>Type</b>: Habitat type (Field type: categorical)</li><li><b>Visit</b>: Visit number (Field type: numeric)</li><li><b>Date</b>: Date surveyed (Field type: date)</li><li><b>Sunset</b>: Sun set time (Field type: time)</li><li><b>Time</b>: Time data collected (Field type: time)</li><li><b>Mins_after_sunset</b>: Minutes after sunset (Field type: numeric)</li><li><b>Call_type</b>: Taxa (Field type: categorical)</li><li><b>Species_ID</b>: Species ID (Field type: taxa)</li><li><b>Buzz</b>: Presence of feeding buzz (Field type: numeric)</li><li><b>Av_High_freq</b>: Bat frequency (Field type: numeric)</li><li><b>Av_Low_freq</b>: Bat frequency (Field type: numeric)</li><li><b>Average_of_CallDuration</b>: Bat frequency (Field type: numeric)</li><li><b>Rip_res_width</b>: Riparian reserve width (Field type: numeric)</li><li><b>Canopy_gap</b>: Canopy gap within 50m radius buffer (Field type: numeric)</li><li><b>Avg_CH_50mR</b>: Average canopy height within 50m radius buffer (Field type: numeric)</li><li><b>Avg_Biomass_50mR</b>: Average biomass within 50m radius buffer (Field type: numeric)</li><li><b>Prop_Fcover_1km</b>: Proportion forest cover within 1km buffer (Field type: numeric)</li><li><b>Avg_Rug_50mR</b>: Average ruggedness within 50m radius buffer (Field type: numeric)</li></ul></li></ol><p><b>Date range: </b>2014-04-28 to 2018-11-15</p><p><b>Latitudinal extent: </b>4.5000 to 5.0700</p><p><b>Longitudinal extent: </b>116.7500 to 117.8200</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; Chordata <br>&ensp;-&ensp;&ensp;-&ensp;&ensp;-&ensp; Mammalia <br>&ensp;-&ensp;&ensp;-&ensp;&ensp;-&ensp;&ensp;-&ensp; Chiroptera <br>&ensp;-&ensp;&ensp;-&ensp;&ensp;-&ensp;&ensp;-&ensp;&ensp;-&ensp; [BBFM1] <br>&ensp;-&ensp;&ensp;-&ensp;&ensp;-&ensp;&ensp;-&ensp;&ensp;-&ensp; [BBFM2] <br>&ensp;-&ensp;&ensp;-&ensp;&ensp;-&ensp;&ensp;-&ensp;&ensp;-&ensp; [BBFM3] <br>&ensp;-&ensp;&ensp;-&ensp;&ensp;-&ensp;&ensp;-&ensp;&ensp;-&ensp; [BBFM4] <br>&ensp;-&ensp;&ensp;-&ensp;&ensp;-&ensp;&ensp;-&ensp;&ensp;-&ensp; [BBFM5] <br>&ensp;-&ensp;&ensp;-&ensp;&ensp;-&ensp;&ensp;-&ensp;&ensp;-&ensp; [BBFM6] <br>&ensp;-&ensp;&ensp;-&ensp;&ensp;-&ensp;&ensp;-&ensp;&ensp;-&ensp; Hipposideridae <br>&ensp;-&ensp;&ensp;-&ensp;&ensp;-&ensp;&ensp;-&ensp;&ensp;-&ensp;&ensp;-&ensp; <i>Hipposideros</i> <br>&ensp;-&ensp;&ensp;-&ensp;&ensp;-&ensp;&ensp;-&ensp;&ensp;-&ensp;&ensp;-&ensp;&ensp;-&ensp; <i>Hipposideros cervinus</i> <br>&ensp;-&ensp;&ensp;-&ensp;&ensp;-&ensp;&ensp;-&ensp;&ensp;-&ensp;&ensp;-&ensp;&ensp;-&ensp; <i>Hipposideros galeritus</i> <br>&ensp;-&ensp;&ensp;-&ensp;&ensp;-&ensp;&ensp;-&ensp;&ensp;-&ensp;&ensp;-&ensp;&ensp;-&ensp; <i>Hipposideros ridleyi</i> <br>&ensp;-&ensp;&ensp;-&ensp;&ensp;-&ensp;&ensp;-&ensp;&ensp;-&ensp; Rhinolophidae <br>&ensp;-&ensp;&ensp;-&ensp;&ensp;-&ensp;&ensp;-&ensp;&ensp;-&ensp;&ensp;-&ensp; <i>Rhinolophus</i> <br>&ensp;-&ensp;&ensp;-&ensp;&ensp;-&ensp;&ensp;-&ensp;&ensp;-&ensp;&ensp;-&ensp;&ensp;-&ensp; <i>Rhinolophus acuminatus</i> <br>&ensp;-&ensp;&ensp;-&ensp;&ensp;-&ensp;&ensp;-&ensp;&ensp;-&ensp;&ensp;-&ensp;&ensp;-&ensp; <i>Rhinolophus borneensis</i> <br>&ensp;-&ensp;&ensp;-&ensp;&ensp;-&ensp;&ensp;-&ensp;&ensp;-&ensp;&ensp;-&ensp;&ensp;-&ensp; <i>Rhinolophus sedulus</i> <br>&ensp;-&ensp;&ensp;-&ensp;&ensp;-&ensp;&ensp;-&ensp;&ensp;-&ensp;&ensp;-&ensp;&ensp;-&ensp; <i>Rhinolophus trifoliatus</i> <br></div><p></p>

opencc-by-4.0Aug 2020View details →
dryad28/100

Data from: Predation of potential insect pests in oil palm plantations, rubber tree plantations and fruit orchards

<p class="MsoNoSpacing">In human-modified landscapes, important ecological functions such as predation are negatively affected by anthropogenic activities, including the use of pesticides and habitat degradation. Predation of insect pests is an indicator of healthy ecosystem functioning, which provides important ecosystem services, especially for agricultural systems. In this study, we compare predation attempts from arthropods, mammals, and birds on artificial caterpillars in the understory, between three tropical agricultural land-use types: oil palm plantations, rubber tree plantations, and fruit orchards. We collected a range of local and landscape-scale data including: undergrowth vegetation structure; elevation; proximity to forest; and canopy cover in order to understand how environmental variables can affect predation. In all three land-use types, our results showed that arthropods and mammals were important predators of artificial caterpillars and there was little predation by birds. We did not find any effect of the environmental variables on predation. There was an interactive effect between land-use type and predator type. Predation by mammals was considerably higher in fruit orchards and rubber tree than in oil palm plantations, likely due to their ability to support higher abundances of insectivorous mammals. In order to maintain or enhance natural pest-control in these common tropical agricultural land-use types, management practices that benefit insectivorous animals should be introduced, such as the reduction of pesticides, improvement of understory vegetation and local and landscape heterogeneity.</p>

opencc-zeroNov 2020View details →
dryad28/100

Higher mortality rates for large and medium-sized mammals on plantation roads compared to highways in Peninsular Malaysia

<p>The fragmentation of forests by agricultural expansion, urbanisation and road networks is a global phenomenon. In Southeast Asia, wildlife populations are being isolated into pockets of natural habitat surrounded by road networks and monoculture plantations. Mortality by wildlife-vehicle collisions (WVCs) is causing a decline in many species of conservation priority in human-modified landscapes. This study is the first in Malaysia to investigate factors affecting the occurrence of WVCs. We assessed roadkill data gathered by the Department of Wildlife and National Parks on small, medium and large mammals in Peninsular Malaysia. We examined the relationship between wildlife road accidents and environmental factors. We found a total of 605 roadkills, involving 21 species. Roadkill records included three species classified as endangered. Road type, year, and distance from continuous and fragmented forests were significant for determining mammal mortality. Unexpectedly, the majority of road mortality occurred on oil palm plantation roads compared to highways. Mortality of small and medium mammals was greater at locations further away from continuous forest than those closer to forests. Segmentation of continuous forest by roads should be avoided wherever possible, and wildlife corridors should be put in place to reduce the threat of roads on crossing wildlife.</p>

opencc-zeroDec 2020View details →
dryad28/100

The origin and genetic variability of vegetatively propagated clones identified from old planted trees and plantations of Thujopsis dolabrata var. hondae in Ishikawa Prefecture, Japan

<p class="Keywords"><span><a name="_Hlk10084612">Clonal plantations of <i>Thujopsis dolabrata</i> var. <i>hondae </i>have been established in Ishikawa Prefecture, Japan, since at least the 1800s. Historical planting of the species has led to the development of vegetatively propagated local cultivars, which originated from 'donor' trees that have often been conserved in sacred groves or avenues at shrines and temples. These donor trees must have been selected from natural populations. In this study we estimated the origin and genetic variability of clones identified among old planted trees and clonal plantations of<i> T. dolabrata </i>var. <i>hondae</i>, using 19 microsatellite markers. We discovered 12 clones among old planted trees, including five identical to members of a set of 14 we previously identified in plantations (giving 21 clones in total). Based on analyses combining assignment and exclusion tests, we inferred origins of eight of those 21 clones: six may have originated from a natural population distributed in Ishikawa, one from Hokkaido &amp; Aomori, and the other from Iwate &amp; Yamagata, suggesting the clones constituting cultivars have multiple origins. The clones identified in plantations have significantly lower genetic variability, and higher relatedness, indicating that clones of cultivars have a much narrower genetic base than those of natural populations. We suggest new clones selected from natural populations</a> elsewhere, as well as Ishikawa, are needed for future breeding of <i>T. dolabrata</i> var. <i>hondae</i> to develop clonal forestry for this species.</span></p>

opencc-zeroOct 2019View details →
zenodo28/100

FIGURE 14 in Aleurodicus talamancensis, a new whitefly species damaging plantation bananas in Costa Rica, with discussion of a montane orchid­feeding population (Sternorrhyncha, Aleyrodidae)

FIGURE 14. Mature banana leaf completely covered by immature stages of Aleurodicus talamancensis.

opennotspecifiedDec 2005View 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