Figure 2 - uploaded by Daphne Fautin
Content may be subject to copyright.
Published occurrences of the sea anemone Heteractis aurora (Quoy and Gaimard, 1833) as shown in Fautin (2008).

Published occurrences of the sea anemone Heteractis aurora (Quoy and Gaimard, 1833) as shown in Fautin (2008).

Source publication
Article
Full-text available
Data on occurrences of a particular organism from publications and museum specimens can be used to infer occurrence of members of that species in places where sampling has not been done and at times in the past and future. Programs to make such inferences are based on knowledge of the habitat correlates of the species and determining where else in...

Context in source publication

Context 1
... indicating actual occurrences are typical in technical publications, such as Wallace (1999), and in the growing number of biodiversity websites such as that to sea anemones and relatives (Fautin 2008: eg Fig. 2). With few exceptions, it is likely that members of a species occur in more than the places indicated on the maps, which are where they have been observed or from which they have been collected. These concrete depictions under-represent the range of a ...

Similar publications

Preprint
Full-text available
Joint species distribution models have become ubiquitous for studying species-habitat relationships and dependence among species. Accounting for community structure often improves predictive power, but can also alter inference on species-habitat relationships. Modulated species-habitat relationships are indicative of community confounding: The situ...

Citations

... In addition, this platform could be utilized to monitor Open Access status and trend of environmental changes and it has ability to display and share information from map data so that its application could be easy and open access to wider community and scientists (Schmidt et al., 2010;Quynh et al., 2016). The application of WebGIS to assist the environment and ecosystem management has been documented in marine protected area management (Quynh et al., 2016;Agurto et al., 2018); fisheries management (Suhelmi et al., 2013); sea anemone biodiversity (Fautin, 2008); and biodiversity management (Geri, La Porta, Zottele, & Ciolli, 2016). As far as this, no data integration has been carried out in Lampung Province related to environmental management, especially in coral reefs ecosystem. ...
Article
Full-text available
Data integration of structured ecosystem monitoring is crucial to support decision making for better marine ecosystem management. Coral reef monitoring data had been carried out in several separated studies in Lampung Province. However, lacks data integration among scientists and institutions making them inefficient as a basis of science for ecosystem management and decision making. This study was aimed to integrate available coral reef data in the last 15 years in Lampung Province and inform the spatial status of coral reef cover through WebGIS. Secondary data of coral reef study in the last 15 years were acquired from published articles and online-available-institutional reports. Data were then converted to digital mode prior to publishing them in the form of a website database through WebGIS. Results suggested that there were four main areas of coral reef studies in Lampung Province, namely Lampung bay, Krakatau, Bakauheni, and Lampung west coast. One-way ANOVA analysis of the last 5-year coral data shown there were no spatial differences on coral cover the four areas. Coral cover in Lampung west coast was generally in good shape at 56.13±1.74% and was higher compared to those in Lampung bay, Bakauheni, dan Krakatau regions, at 46.57±2.23%, 36.48±1.58%, and 35.6±3.69%, respectively. All coral data was published through WebGIS at https://sll.itera.ac.id/research/webgis . It is recommended this WebGIS could serve as a reference to conduct long-term coral reef monitoring in Lampung since it provides coordinates and coral reef status as baseline data for further analysis of coral reefs ecosystem.
... Each occurrence record in the database is entered with the scientific name of the species given in the publication from which it came. However, if that is not the name currently considered valid for the species, or if a subsequent publication showed that the identification had been in error, that record is also associated in the database with the name currently considered to be valid (Fautin, 2009). Our analysis is limited to records for which a current valid name could be assigned, and so it is by species rather than by name to avoid the confounding effect of synonyms pointed out by, for example, May (1998). ...
... Another potentially confounding factor is the use of names (e.g., Kerswell, 2006;Fautin, 2009). In the publication entitled "Global patterns and predictors of marine biodiversity across taxa," Tittensor et al. (2010) analyzed only 13 higher "taxa" for which appropriate taxonomic checking was possible; Costello et al. (2011), analyzing all marine taxa, considered synonyms and effort; and Vanden offered no explanation of how their diversity analysis was done. ...
Article
Full-text available
We sought to determine if the global distribution of sea anemones (cnidarian order Actiniaria) conforms to the classic pattern of biogeography-taxon richness at the equator with attenuation toward the poles-a pattern that is derived almost entirely from data on terrestrial plants and animals. We plotted the empirical distribution of species occurrences in 10° bands of latitude based on published information, then, using the Chao2 statistic, inferred the completeness of that inventory. We found the greatest species richness of sea anemones at 30-40° N and S, with lower numbers at tropical latitudes and the fewest species in polar areas. The Chao2 statistic allowed us to infer that the richness pattern we found is not due to particularly poor knowledge of tropical sea anemones. No 10° band of latitude has less than 60% of the theoretical number of species known, but for only about half of them could we reject the null hypothesis (P = 0.05) that information is complete; anemone diversity is best documented at high latitudes. We infer that the 1089 valid species currently known constitute about 70% of the theoretical total of about 1500 species of Actiniaria. The distribution pattern of sea anemone species resembles that of planktonic foraminiferans and benthic marine algae, although planktonic bacteria, marine bivalves, and shallow and deep scleractinian corals show the terrestrial pattern of equatorial richness attenuating with latitude. Sea anemone species richness is complementary to that of scleractinian corals at many scales; our findings affirm it at the global scale.
Article
Full-text available
Multiple names that refer to a single species (synonyms) and more than one species being referred to by the same name (homonyms) bedevil taxonomy. They produce ambiguity about the entity under discussion. Syngraph is a computer application that organizes information about synonyms and homonyms. It can track different names that potentially have been applied to the same species, or identical names that have been applied to different species. It can create a list of synonyms in conventional format for use in publication, as for a taxonomic monograph. It can also display and print names so they are linked, thereby providing information on the conceptual basis of a name and the action taken in a publication. In the display, each name is imposed on a color-coded rectangle; all names on rectangles of the same color refer to records that stem from a single description. This allows quick visualization of the taxonomic history. When linked to a geographical information system application, the color can be used for points plotted on a map that displays the geographical locality of specimens referred to in each record. This visualization of the geographic distribution of the nominal species can provide tests of the hypothesis that the names are, indeed, synonyms. Syngraph is available for download; help files accompany the executable files.