Birding trip reports as a data source for monitoring rare species

2016 ◽  
Vol 19 (5) ◽  
pp. 430-435 ◽  
Author(s):  
C. Camacho
Keyword(s):  
Rare Species ◽  
Data Source

scholarly journals Mission: Implausible — Revealing rogue marine species in records across biodiversity data platforms

2019 ◽  
Vol 3 ◽  
Author(s):  
Claude Nozères ◽  
Mary Kennedy
Keyword(s):  
Rare Species ◽  
Marine Species ◽  
Original Data ◽  
Data Systems ◽  
Global Biodiversity Information Facility ◽  
Software Packages ◽  
Ongoing Work ◽  
Data Source ◽  
Types Of Information ◽  
Specimen Record

Online biodiversity platforms publish datasets with graphic tools to help with quality control of submitted records, but more could be done to make the data robust for ecological analyses. Attention has focused mostly on automating tools for obvious errors, including misspelled names and synonyms, dates, or coordinates. However, a manual review of species identifications and distributions may uncover improbable records, such as a species reported in an area far from its usual range, or a rare species found in an area that has many more records of a related species. Examples are shown by constructing checklists in the Northwest Atlantic, using information from the World Register of Marine Species (WoRMS, http://www.marinespecies.org) and the Ocean Biogeographic Information System (OBIS, https://obis.org). Reviewing rare species records revealed some misidentifications, but in other instances, the rare species was valid while it was the commonly reported species that needed correction. Confirmations were obtained by comparing records from different regions, but also across platforms, including photos from observers on iNaturalist Canada (https://inaturalist.ca), genetic analyses on Barcode of Life Data systems (BOLD, http://www.boldsystems.org), and literature in the Biodiversity Heritage Library (BHL, https://www.biodiversitylibrary.org). While this exercise succeeded in validating the marine taxa of a region, it is an obvious candidate for automation in three areas: 1) flagging records of improbable taxa in a region, 2) comparing records with different types of information (e.g., specimen photos, genetic groupings, or literature records), and 3) updating users and providers when records get flagged as unusual or are modified. The first approach could be explored using online graphics tools or R software packages (rOpenSci, https://ropensci.org). The second toolset, comparing records across platforms, is partially realized with some linkages already operating between WoRMS, OBIS, BOLD, BHL, iNaturalist, and the Global Biodiversity Information Facility (GBIF, https://www.gbif.org). The third target will be the most difficult to implement, requiring reliable platform cross-linkages and specimen record identifiers to send notifications of changed status of records to both users and the original data source. Ongoing work is discussed on communicating the need to review records across platforms, with the hope that toolsets will be developed to make this task easier.

When rare species become endangered: cryptic speciation in myrmecophilous hoverflies

2002 ◽  
Vol 76 (2) ◽  
pp. 315-315
Author(s):  
KARSTEN SCHONROGGE ◽  
BOYD BARR ◽  
JUDITH C. WARDLAW ◽  
EMMA NAPPER ◽  
MICHAEL G. GARDNER ◽  
...  
Keyword(s):  
Rare Species ◽  
Cryptic Speciation

Nilai-Nilai Pendidikan Akhlak dalam Al-Qur’an

2018 ◽  
Vol 10 (2) ◽  
pp. 269-295
Author(s):  
Sri Waluyo
Keyword(s):  
Moral Education ◽  
Primary Source ◽  
Secondary Data ◽  
Primary Data ◽  
The Core ◽  
Primary Data Source ◽  
Before And After ◽  
Data Source

This paper discusses the content of Q.S. al-Baqarah ([2]: 67-73). The data used in the preparation of this paper is the data that is primary and secondary. The primary source is data obtained from the core source. In conducting a study of a verse, it is clear that the primary data source is derived from the Qur'an,precisely on Q.S. al-Baqarah ([2]: 67-73). Secondary data is dataobtained from other sources that are still related to the problemand provide interpretation of the primary source. The method usedin analyzing this paper is the tahlili method. This method describesthe meaning contained by the Qur'an, verse by verse, and letterafter letter according to the order in the Mushaf. The descriptionincludes the various aspects which the interpreted verses contain,such as the meaning of the vocabulary, the connotation of thesentence, the background of the verse down, its relation to otherverses, both before and after. And do not miss the opinion that hasbeen given regarding the interpretation of these verses, whetherdelivered by the Prophet, companions, the tabi'in, as well as othercommentators. This study shows that in Q.S. (2): 67-73) there arevalues of moral education which include: 1) morals in asking, (2)morals to parents, (3) patience of educators, (4) educator honesty,and (5) obedience of learners.

SISTEM SOSIAL ALA NIKLASH LUHMAN DALAM NOVEL SEPERTIGA MALAM DI MANHATTAN KARYA ARUMI E

2019 ◽  
Vol 7 (2) ◽  
pp. 49
Author(s):  
Anton Wahyudi
Keyword(s):  
Social System ◽  
System Approach ◽  
Research Method ◽  
Qualitative Method ◽  
The Novel ◽  
Original Culture ◽  
The Family ◽  
Data Source ◽  
Social System Approach ◽  
Fictional Story

The novel Sepertiga Malam di Manhattan by Arumi E is very interesting to study. This novel is a novel about the struggle of a family to get happiness. This novel is the Arumi E's 27th newest novel. The struggle in this novel is to make the family happy, expecting for the baby. Before writing the novel, Arumi E did a research in the places written in the novel to achieve a very interesting fictional story and most of this story was taken from the traveling results so it was so interesting. The objective of this research is to describe (1) the Autopoetic System in the novel Sepertiga MalamdiManhattan by Arumi E. (2) The differentiation system in the Novel Sepertiga Malamdi Manhattan by Arumi E.The research method used is in the form of a descriptive qualitative method that uses a social system approach. The method used by the researcher is the dialectical method. The data source used in this research is the novel Sepertiga Malamdi Manhattan by Arumi E, published by Gramedia publisher in 2018. The data collection in this study uses the steps of reading the novel. To collect data, the researcher use any instrument.There are two results of the study: (1) The autopoetic system in the novel Sepertiga MalamdiManhattan by Arumi E. is concerning to some characters who have their own beliefs or rules in their lives who do not want to follow the rules of others, they are more confident in their own way to success and purpose of life. (2) The system of differentiation in the novel Sepertiga Malamdi Manhattan by Arumi E. is covering the handling of changes in the environment, the characters are able to adapt to the new environment, which has a different culture from the original culture. This shows evidence of the system autopoetic and differentiation in the novel Sepertiga MalamdiManhattan by Arumi E.

Syntactic and Semantic Analysis on Slogans of Aviation Companies in Asean Countries

2019 ◽  
Vol 3 (2) ◽  
pp. 123-131
Author(s):  
Ervina CM Simatupang
Keyword(s):  
Semantic Analysis ◽  
Data Source ◽  
Asean Countries ◽  
Descriptive Method

The title of this study is Syntactic and Sematic Analysis on Slogans of Aviation in Asean Countries. The aim of this study is to analyze and describe the slogans of aviation companies in Asean companies syntactically and semantically. The method used in this study is descriptive method. Data source are taken from official websites of various aviation companies in Asean countries, and there are taken from Wikipedia as the website has listed in chart. The chart has covered the profile of the aviation companies in Asean countries. The theories used to analyze the data syntactically are from O

Sign in / Sign up

Export Citation Format

Share Document