فهرست مطالب kazem dadkhahipour

Summary
Mosses (a section of bryophytes), are considered as an important group of non-flowering plants which a modern computer-assisted database system is not yet prepared for their determination and description key in Iran. Following a
software package recently designed under a research project for assessment of moss diversity of Iran by the authors, the present paper is prepared to: I) introducing competency/convertible featuring of this package in the form of an electronic atlas for a variety of moss specimens identified for “IRAN” herbarium, and II) mapping based on geographical coordinates capable of extracting different documented reports analysis for other related taxonomical
fields. For structural analysis algorithms to develop a comprehensive model named as “the Iranian moss flora explorer” using VB.NET Database. Based on the reliable and an up-to-date scientific resource, all the moss specimens of “IRAN” herbarium along with their diagnostic features and many kinds of habitats were revised. As a result, 250 identifier (ID), included in 36 families, 85 genera, with 12 varieties were considered as identified taxa for “IRAN” herbarium during 1984–2016. In addition, 250 geographical distribution maps are also drawn and enclosed herewith. In this model, each ID embraces two sections i.e. one general and one technical (Figs 1–6).

The use of algae was known to humans about three thousand years ago. More than 2500 algae species have been reported from Iran. Considering the importance of pharmaceutical use and the extraction of effective substances from algae types that are imported more than other countries, a study of biodiversity and explaining the position of various algal species is inevitable. Using programming in the VB.net environment, a software application named "Medicinal Algae of Iran" was designed. By reviewing scientific reports during the last century, digital IDs were found in four kingdoms including 8 divisions, 13 classes, 26 orders, 34 families, 42 genera and 58 species of medicinal algae in Iran. In this algorithm, which is executable in common operating systems such as Windows, the distribution area and also the various distribution points are calculated and plotted on the map based on the relative density of species diversity at each stage of the process. It is worth noting that so far, this software model has not been found in the field of data mining of medicinal algae in scientific resources. Thus, given the importance of interdisciplinary studies and facilitating access to information management about the diversity and distribution of medicinal algae, such features as updating with data integration, ease of use for everyone, and the promotion and extension of technical knowledge for other medicinal plants can be considered in such a software.

By studying algae reports from different localities of the country during the past 87 years, about 6000 records information including 2567 species and infra-specifics were analyzed and distribution maps were drawn. The algae studies in the Iranian islands of the Persian Gulf, especially around Bushehr and the Khark Island by Borgesen (1930), the oldest available document is used in this study. Many of the scientific names of the references used were synonyms with authorities in the field of algae taxonomy, such as AlgaeBase (Guiry & Guiry 2015) were changed to valid names.
Using the capabilities VB.Net programming (Foxall 2015) under a model of software named as “Explorer for Algae of Iran” was designed and developed. The main targets of this study and making utilities and technical options related to the three essential questions are as follows:1. How can plot distribution maps for selected algae species?
2. How can view the geographic coordinates of the points in DMS by moving the cursor on the map and related list of species and documented information for selected area?
3. How can the taxa levels such as genus, species, subspecies, varieties, and forms in search mode could be computed simultaneously?
This software package designed to provide all these cases where its general view is shown in Fig. 1. In addition, a list references and a search engine are provided in this algorithm. To show more data, a special version of software for information represented by the letters A to C of those scientific names (about 687 taxa) is provided which can be downloaded via: https://drive.google.com/file/d/0Bx_0u3VbcpmOMjBoM19nbmpnUFU/view?usp=sharing On the other hand, exploring and numerical analysis of taxa on the map is also very important. For example, processing of exploring Qeshm Island which is shown in Fig. 2. It seems that, such user friendly digital structure has an effective role for biodiversity studies of algae. Moreover, giving the importance of localization of technical knowledge to investigate the diversity and distribution of these algorithms can also benefit other living organisms in Iran.

Tehran has special geographical conditions¡ different aspects of ecological and pollu-tants¡ is of considerable importance. On the other hand¡ algae¡ specifically the diatoms firsts in ecological indicators¡ including natural and man-made environment are accounted for.
Samples of algae as well as a report documenting of the various localities of Tehran during the last half century were systematically surveyed and basic information was classified. A variety of harmful algae with parameters such as disruption of water supply networks¡ parasitism¡ creating mud¡ wa-ter color change¡ adhesion to walls¡ concrete or metal structures¡ taste and unpleasant odor were evaluat-ed. In addition¡ different types of algae with the ability to monitor for contamination of soil and water resources in urban and industrial wastewater in various parts of Tehran were studied.
in order to analyzing the data including text¡ description and digital¡ by using electronic identi-fication algorithm (EID) a comprehensive software model was designed and developed. By Data pro-cessing about the biodiversity of algae which have been reported from Tehran province¡ 314 IDs were belong to four concatenation of Chromista¡ Eubacteria¡ Plantae and Protozoa were identified.
In a comparative study of algae diversity of Tehran¡ similarity with 21 other provinces is noticeable. Thus¡ according to simple structure but powerful of the proposed model¡ this technology can be used in other localities of the country.

Due to the presence of algae in the air, groundwater, larger areas in comparison with other flora are allocated. According to studies, the biodiversity of algae in Iran is estimated at 7000 species. Given the abundant and diverse habitats in the country, inclusive of the diversity and distribution is inevitable. For this purpose, a research tool broadly with the software was designed to: 1) an interactive list for classification of algae from division to the lowest taxon, 2) count and display each of the records based on the algae identity, 3) search synonyms, 4) various options such as algae habitat types, fossilogy, environmental aspects and so on, 5) specific index distribution of records based on 31 provinces with scientific references, 6) map the distribution of the records with the exact and/or approximate locations, 7) kinds of images retrieved algae with the ability to zoom, 8) data analysis and evaluation of reported positions in limits and orientation, 9) numerical computation of diversity for any taxa and 10) making technical reports. In this algorithm, the possibility of other data layers such as natural geography are provided. Therefore, the value of such transnational research, development and completion of this tool is essential.