skip to main content
US FlagAn official website of the United States government
dot gov icon
Official websites use .gov
A .gov website belongs to an official government organization in the United States.
https lock icon
Secure .gov websites use HTTPS
A lock ( lock ) or https:// means you've safely connected to the .gov website. Share sensitive information only on official, secure websites.

Explore Research Products in the PAR
It may take a few hours for recently added research products to appear in PAR search results.


Title: Identifying datasets for global wildlife trafficking
We describe a novel database on wildlife trafficking that can be used for exploring supply chain coordination via game-theoretic collaboration models, geographic spread of wildlife products trafficked via multi-item knapsack problems, or illicit network interdiction via multi-armed bandit problems.</p> A publicly available visualization of this dataset is available at: https://public.tableau.com/views/IWTDataDirectory-Gore/Sheet2?:language=en-US&:display_count=n&:origin=viz_share_link  more » « less
Award ID(s):
2120065 1935451
PAR ID:
10403308
Author(s) / Creator(s):
; ; ; ; ; ; ;
Publisher / Repository:
Zenodo
Date Published:
Edition / Version:
1.0
Subject(s) / Keyword(s):
wildlife trafficking wildlife crime illicit supply networks
Format(s):
Medium: X
Sponsoring Org:
National Science Foundation
More Like this
  1. (, Environmental Data Initiative)
    This dataset contains population, meteorological, phenological, and chemical data collected from tropical montane stream and forest ecosystems. This synthesis product merges 11 distinct datasets into a single comprehensive resource, facilitating easier comparison and study of diverse ecological data. Try our data explorer [here.](https://luqshiny.lter.network/sigds/) It provides a multi-faceted dataset essential to enhance biodiversity monitoring, ecosystem management, and global change research. Data spans from 1975 to 2024, with some gaps and missing data points. Particularly at the beginning of the time span measurements started with temperature and rainfall before other dataset collections began with the inception of the LUQ LTER in the late 1980s. For phenology 17 species were selected for inclusion, listed below. 11 dominant species as described in Uriarte et al. 2009 (DOI 10.1890/08-0707.1). As well as in decline species PALRIP- Palicourea riparia and CISVER - Cissus verticillata. Species that show a strong response to hurricanes PHYRIV - Phytolacca rivinoides- an understory herb and IPOTL -Ipomoea tiliacea- Morning glory vine. And a species thriving understory shrub SMIDOM - Smilax domingensis. - **From Uriarte et al. 2009 these 11 species represent 75% of the stems >=10 cm dbh in the LFDP plot: ** - **ALCLAT** - Alchornea latifolia - **CASARB** - Casearia arborea - **CECSCH** - Cecropia schreberiana - **DACEXC** - Dacryodes excelsa - **GUAGUI** - Guarea guidonia - **INGLAU** - Inga laurina - **MANBID** - Manilkara bidentata - **PREMON** - Prestoea montana - **SCHMOR** - Schefflera morototoni - **SLOBER** - Sloanea berteriana - **TABHET** - Tabebuia heterophylla - **PALRIP** - Palicourea riparia - For more details on methods and variables see each individual dataset: - Canopy Trimming Experiment (CTE) Litterfall: [https://portal.edirepository.org/nis/mapbrowse?scope=knb-lter-luq&identifier=162](https://portal.edirepository.org/nis/mapbrowse?scope=knb-lter-luq&identifier=162) - Litterfall in tabonuco (subtropical wet) forest in the Luquillo Experimental Forest, Puerto Rico (MRCE Litterfall data): [https://portal.edirepository.org/nis/mapbrowse?scope=knb-lter-luq&identifier=111](https://portal.edirepository.org/nis/mapbrowse?scope=knb-lter-luq&identifier=111) - Rainfall at El Verde Field Station, Rio Grande, Puerto Rico since 1975: [https://portal.edirepository.org/nis/mapbrowse?scope=knb-lter-luq&identifier=14](https://portal.edirepository.org/nis/mapbrowse?scope=knb-lter-luq&identifier=14) - Maximum temperature at El Verde Field Station, Rio Grande, Puerto Rico since October 1992: [https://portal.edirepository.org/nis/mapbrowse?scope=knb-lter-luq&identifier=16](https://portal.edirepository.org/nis/mapbrowse?scope=knb-lter-luq&identifier=16) - Minimum temperature at El Verde Field Station, Rio Grande, Puerto Rico since 1975: [https://portal.edirepository.org/nis/mapbrowse?scope=knb-lter-luq&identifier=17](https://portal.edirepository.org/nis/mapbrowse?scope=knb-lter-luq&identifier=17) - Chemistry of stream water from the Luquillo Mountains, Quebrada Sonadora and Quebrada Prieta: [https://portal.edirepository.org/nis/mapbrowse?scope=knb-lter-luq&identifier=20](https://portal.edirepository.org/nis/mapbrowse?scope=knb-lter-luq&identifier=20) - Shrimp populations in Quebrada Prieta (Pools 0, 8, 9, 15) (El Verde): [https://portal.edirepository.org/nis/mapbrowse?scope=knb-lter-luq&identifier=54](https://portal.edirepository.org/nis/mapbrowse?scope=knb-lter-luq&identifier=54) - Meteorological data from El Verde Field Station: NADP Tower: [https://portal.edirepository.org/nis/mapbrowse?scope=knb-lter-luq&identifier=127](https://portal.edirepository.org/nis/mapbrowse?scope=knb-lter-luq&identifier=127) - Chemistry of rainfall and throughfall from El Verde and Bisley: [https://portal.edirepository.org/nis/mapbrowse?scope=knb-lter-luq&identifier=174](https://portal.edirepository.org/nis/mapbrowse?scope=knb-lter-luq&identifier=174) - Phenologies of the Tabonuco Forest trees and shrubs: [https://portal.edirepository.org/nis/mapbrowse?scope=knb-lter-luq&identifier=88](https://portal.edirepository.org/nis/mapbrowse?scope=knb-lter-luq&identifier=88) - Prieta streams - Discharge and water level: [https://portal.edirepository.org/nis/mapbrowse?scope=knb-lter-luq&identifier=182](https://portal.edirepository.org/nis/mapbrowse?scope=knb-lter-luq&identifier=182) We would like to acknowledge the contributions of all those who have worked in the Luquillo LTER over the course of its 36 year and counting history. The LUQ LTER thanks you for your contribution. Code for generating this signature dataset are available on github here: [https://github.com/miguelcleon/LUQ-LTER-signature-dataset](https://github.com/miguelcleon/LUQ-LTER-signature-dataset) Support for this work was provided by grants BSR-8811902, DEB-9411973, DEB-9705814 , DEB-0080538, DEB-0218039 , DEB-0620910 , DEB-1239764, DEB-1546686, and DEB-1831952 from the National Science Foundation to the University of Puerto Rico as part of the Luquillo Long-Term Ecological Research Program. Additional support was provided by the USDA Forest Service International Institute of Tropical Forestry and the University of Puerto Rico. 
    more » « less
  2. ; ; ; ; ; ; ; (, Big Earth Data)
    Wildlife trafficking is a global phenomenon posing many negative impacts on socio-environmental systems. Scientific exploration of wildlife trafficking trends and the impact of interventions is signifi-cantly encumbered by a suite of data reuse challenges. We describe a novel, open-access data directory on wildlife trafficking and a corresponding visualization tool that can be used to identify data for multiple purposes, such as exploring wildlife trafficking hotspots and convergence points with other crime, discovering key drivers or deterrents of wildlife trafficking, and uncovering structural patterns. Keyword searches, expert elicitation, and peer- reviewed publications were used to search for extant sources used by industry and non-profit organizations, as well as those leveraged to publish academic research articles. The open-access data direc-tory is designed to be a living document and searchable according to multiple measures. The directory can be instrumental in the data- driven analysis of unsustainable illegal wildlife trade, supply chain structure via link prediction models, the value of demand and supply reduction initiatives via multi-item knapsack problems, or trafficking behavior and transportation choices via network inter-diction problems. 
    more » « less
  3. (, Environmental Data Initiative)
    {"Abstract":["Soil element concentrations (Na, Mg, K, Ca, Al, Mn, Fe, Si, Sr, and\n Ba) were measured in salt exchangeable extracts of soil samples taken\n in July 2017 in the MELNHE study, specifically in Bartlett stands\n C1-C9 and Hubbard Brook stands HBM and HBO.\n\n \n Additional detail on the MELNHE project, including a datatable of site\n descriptions and a pdf file with the project description and diagram\n of plot configuration can be found in this data package:\n https://portal.edirepository.org/nis/mapbrowse?scope=knb-lter-hbr&identifier=344.\n\n \n Additional analysis data on these samples can be found in the dataset\n "Soil properties in the MELNHE study at Hubbard Brook\n Experimental Forest, Bartlett Experimental Forest and Jeffers Brook,\n central NH USA, 2009 - present"\n (https://portal.edirepository.org/nis/mapbrowse?scope=knb-lter-hbr&identifier=165).\n\n \n This work is a contribution of the Hubbard Brook Ecosystem Study.\n Hubbard Brook is part of the LTER network, which is supported by the\n US National Science Foundation. The Hubbard Brook Experimental Forest\n is operated and maintained by the US Department of Agriculture, Forest\n Service, Northern Research Station."]} 
    more » « less
  4. ; ; ; (, NSF Arctic Data Center)
    Three natural exposures near Healy, Alaska (Dry Creek, Panguingue Creek, and Healy Spur) and transects of shallow cores from three hillslopes near Eight Mile Lake were analyzed for particle-size distribution, loss-on-ignition for organic matter content, and radiocarbon dating. This study is part of a Master’s thesis research project by Walker at Northern Arizona University (https://www.proquest.com/openview/80b94829f88d5c8e0d0d678581079273/1?pq-origsite=gscholar&amp;amp;amp;amp;cbl=18750&amp;amp;amp;amp;diss=y). It builds on work of Marshall et al. (2023; doi: 10.1029/2022JG007290) who reported data from additional sediment cores taken along one of the hillslopes in this study, namely Hillslope A (https://arcticdata.io/catalog/view/doi:10.18739/A2F76683D). The motivation was to compare datasets of eolian material between different depositional settings, as well as identify trends in eolian thickness and particle size across the Healy landscape to reconstruct Holocene eolian deposition and identify the factors influencing depositon. 
    more » « less
  5. ; ; ; (, Zenodo)
    https://sc23.conference-program.com/presentation/?id=ws_bphpcte113&sess=sess456 
    more » « less
  • Citation Formats
  • MLA
  • APA
  • Chicago
  • BibTeX
  • Save / Share this Record
  • Send to Email