Relevant bibliographies by topics / DIVA-GIS

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  3. Conference papers

Academic literature on the topic 'DIVA-GIS'

Author: Grafiati
Published: 4 June 2021
Last updated: 16 February 2022

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Journal articles on the topic "DIVA-GIS"

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Villordon, A. "GIS ON THE CHEAP: DIVA–GIS AND OTHER FREE DATA VISUALIZATION TOOLS FOR RESEARCH." HortScience 41, no. 3 (2006): 518B—518. http://dx.doi.org/10.21273/hortsci.41.3.518b.

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Geographic information system (GIS) tools allow the visualization of research data that have a strong spatial component. Currently, several proprietary desktop GIS tools are available that enable researchers to generate maps and perform spatial analysis. However, these packages often require licensing agreements and do not provide specific options that enable rapid and uncomplicated analysis of biological diversity data. As an alternative, publicly available GIS applications that perform basic GIS as well as specialized functions are available. For example, DIVA–GIS was developed specifically to allow analysis of genebank and herbarium databases as well as to assess genetic, ecological, and geographic patterns in the distribution of crops and wild species. It is potentially useful for researchers who do not have the time to learn how to use proprietary GIS software, or who cannot justify purchasing a license to perform very basic GIS operations like creating and modifying maps. This presentation describes the basic features as well as some advanced functionality of DIVA–GIS and other publicly available GIS applications.
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Villordon, A., S. Gichuki, H. Kulembeka, S. C. Jeremiah, and D. Labonte. "A WEB-ACCESSIBLE GEO-REFERENCED DATABASE OF SWEETPOTATO ACCESSIONS FOR TANZANIA AND KENYA." HortScience 40, no. 3 (2005): 868d—868. http://dx.doi.org/10.21273/hortsci.40.3.868d.

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One of the secondary centers of genetic diversity for the sweetpotato [Ipomoea batatas (L.) Lam.] is located in Africa. We have developed a geo-referenced database of sweetpotato accessions for Tanzania and Kenya that is accessible by stakeholders and other users. Public domain base maps and other files were used to generate the underlying GIS components. DIVA-GIS was used to convert existing spreadsheet-based accession and passport data into GIS-compliant files. ALOV Map, a public domain Java application for publishing vector and raster maps, was used to provide the framework for a web-accessible GIS database. This demonstrates that the availability of publicly available software requiring minimal or flexible licensing costs provide a cost-effective alternative to institutions that are considering developing GIS databases as well as enabling web accessibility to such resources. DIVA-GIS was also used to predict potential distribution of sweetpotato germplasm in Sub-Saharan Africa using the built-in ecological niche modelling tool. We describe procedures, software, and other applications that we used to develop a publicly accessible web interface to a GIS database of sweetpotato germplasm collections in Kenya and Tanzania.
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Chand, D., N. Dikshit, N. Sivaraj, S. S. Gomashe, and M. M. Nizar. "Diversity assessment in Abelmoschus tuberculatus : A DIVA-GIS study." Journal of Environmental Biology 39, no. 4 (2018): 426–31. http://dx.doi.org/10.22438/jeb/39/4/mrn-546.

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Dar, Z. A., A. A. Lone, N. Sunil, et al. "Diversity analysis of maize inbred lines using DIVA-GIS under temperate ecologies." Journal of Applied and Natural Science 8, no. 3 (2016): 1576–83. http://dx.doi.org/10.31018/jans.v8i3.1003.

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The vagaries of Climate Change variability need to be addressed and as climatic conditions change at particular experimental sites and maize producing regions, mega-environment assignments will need to be reassessed to guide breeders to appropriate new germplasm and target environments . The development of improved germplasm to meet the needs of future generations in light of climate change and population growth is of the upmost importance . Evaluation of the inbred lines from diverse ecosystems would be effective for production of lines with resilience towards climate variability. Hence, with this objective diverse set of inbred lines sourced from all over India were characterized and were evaluated with DIVA-GIS for diversity analysis of maize inbred lines. Grid maps generated for these maize inbred lines for eleven quantitative traits indicated that these lines can be sourced from North and South India. High Shannon diversity index with maximum range of 2.17-3.0, 2.25-3.0, 2.36-3.0, 2.4-4.0, 2.0-3.0, and 2.2-3.0 were recorded for the traits viz; plant height, ear height, grain weight, grain yield, kernel row and protein content respectively indicating the high response of these traits to ecosystem. However, inbred lines were found to be diverse for all the traits except for ears plant-1 (EPP) and they have been sourced from Northern and Southern parts of India while for EPP recorded less diversity index range of 0.4-1.0 indicating source from South India. Interestingly, less diverse inbred lines for all the eleven quantitative traits have been sourced from Indogangetic plains as indicated in diversity grid maps. Maximum diversity indices were recorded for anthesis silking interval (ASI), days to silking, days to tasseling, which are in the range of 0.97-2.0, 1.528-2.0, 1.516-2.0 and 1.528-2.0 respectively. Hence, DIVA-GIS enabled identification of diverse sources from varied ecosystems which can be used for developing improved lines/ cultivars with greater resilience towards climate change.
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Villordon, Arthur, Wambui Njuguna, Simon Gichuki, et al. "(357) GIS Tools for Documentation and Analysis of Germplasm Collections from a Secondary Center of Diversity: A Case Study for East African Sweetpotatoes." HortScience 40, no. 4 (2005): 1028A—1028. http://dx.doi.org/10.21273/hortsci.40.4.1028a.

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The East African region in sub-Saharan Africa (SSA) is widely considered as one of the secondary centers of diversity for sweetpotatoes [Ipomoea batatas (L.) Lam.]. Farmers in the region typically grow landraces, but hybridizations occasionally result in new genotypes. Factors such as regional conflicts, natural disasters, disease, and land pressure continually threaten the SSA sweetpotato gene pool. Despite this threat, very little updated information is easily accessible about SSA germplasm collections. Such information is valuable for purposes of management, exploration, and conservation. Using germplasm collection data from Kenya, Tanzania, and Uganda, we demonstrate how publicly available GIS-based tools, e.g., DIVA-GIS, can be used to document current collections as well as make this information easily accessible, searchable, and portable. First, collection data from each country were compiled and known collection sites were georeferenced using available gazetteers. Following data cleaning and verification, georeferenced data were then converted into a GIS-compliant format, primarily as shapefiles. All files were then copied into storage media for exchange among stakeholders. To further demonstrate the portability of the GIS database files, available World Wide Web GIS web viewers enabled real-time access to GIS files uploaded to an experimental web site. This work demonstrates that with very little expense, access to extant SSA germplasm information for sweetpotatoes can be improved using publicly available GIS tools.
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Raina, Archana P., Z. Abraham, and N. Sivaraj. "Diversity analysis of Kaempferia galanga L. germplasm from South India using DIVA-GIS approach." Industrial Crops and Products 69 (July 2015): 433–39. http://dx.doi.org/10.1016/j.indcrop.2015.02.052.

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Villordon*, Arthur, Simon Gichuki, Heneriko Kulembeka, Simon C. Jeremiah, and Don LaBonte. "Development of a Web-Accessible GIS Database as a Tool for Sweetpotato Germplasm Collection Activities in East Africa." HortScience 39, no. 4 (2004): 876A—876. http://dx.doi.org/10.21273/hortsci.39.4.876a.

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Africa represents a unique secondary site of genetic diversity for the sweetpotato [Ipomoea batatas (L.) Lam.]. Despite the genetic resources available for sweetpotato breeding and cultivar selection, regional conflicts and adverse weather in the last two decades have accelerated the risk of germplasm loss, particularly in East and Central Africa. A cooperative research project is currently underway to assess genetic diversity as well as help conserve sweetpotato germplasm in East Africa. One of the tools that are currently being used is a web-accessible GIS database that enables access to spatial and temporal data by project investigators and other stakeholders. Although proprietary methods are available for delivering GIS data through web interfaces, these methods often require expensive licensing agreements. The use of ALOV Map, a freely available Java® application for publishing vector and raster maps, along with basemaps and other thematic maps downloaded from publicly accessible web sites, helped provide the framework for a web-accessible GIS database. DIVA-GIS, a free desktop based GIS software was used to generate shapefiles as well as preview files prior to uploading. This demonstrates that the availability of publicly available software requiring minimal or flexible licensing costs provide a cost-effective alternative to institutions that are considering access to GIS databases via a web-accessible interface. We describe procedures, software, and other applications that we used to develop a publicly accessible web interface to a GIS database of sweetpotato germplasm collections in Kenya and Tanzania.
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Hernández-Herrera, José Antonio, Alejandro Moreno-Reséndez, Luis Manuel Valenzuela-Núñez, Arnoldo Flores-Hérnandez, and Marisela Cristina Zamora Martinez. "Distribución potencial de Euphorbia antisyphilitica Zucc. en México." Revista Chapingo Serie Zonas Áridas 19, no. 2 (2020): 1–14. http://dx.doi.org/10.5154/r.rchsza.2021.19.1.

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El conocimiento de la distribución de las especies en relación con las condiciones bióticas y abióticas permite conocer las posibles respuestas de las especies a los cambios, ubicar la presencia geográfica de especies de importancia comercial. Los objetivos fueron Identificar las variables bioclimáticas que determinan la distribución de poblaciones de E. antisyphilitica y estimar la distribución potencial de la especie en las zonas áridas usando dos métodos Maxent y Bioclim. Los datos de presencia fueron del inventario nacional de E. antisyphilitica y se usaron 19 capas climáticas de Worldclim con una resolución espacial de l km2 . Se procesaron con el método de máxima entropía además los requerimientos de temperatura y precipitación se analizaron con la comparación de variables bioclimáticas, la predicción de la modelación de la distribución y la salida geográfica u Las variables de precipitación influyen más que las de temperatura sobre la distribución de E. antisyphilitica, en un intervalo de precipitación de 200 a 500 mm. La modelación y salida geográfica usando BIoclim de Diva-Gis 7.5® y Maxent® -3.4.1. Las variables de precipitación contribuyeron con el 67.7 % y las variables de temperatura aportaron 32.4%, por lo tanto, en la distribución de E. antisyphilitica, donde la precipitación es el principal factor que inflluye en la presencia de la especie seguida de las variables de temperatura. Maxent es mejor modelo que Bioclim de Diva-Gis para determinar la superficie potencial que ocupa E. antisyphilitica y permite obtener imágenes de calidad con resolución mayor, esto representa una ventaja para estimar las áreas de distribución de poblaciones de candelilla.
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Gurung, Subhankar, Arun Chettri, Meera Tamang, and Mamta Chettri. "Identifying morphological diversity and superior germplasm of Citrus reticulata Blanco (Mandarin) in Sikkim and Darjeeling Himalayas, India: an application of DIVA-GIS and cluster analysis." OCTOBER 2020, no. 14(10):2020 (October 20, 2020): 1575–82. http://dx.doi.org/10.21475/ajcs.20.14.10.p2351.

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Citrus reticulata is an important cash crop for the farmers in the Sikkim and Darjeeling Himalayas, India. The lack of knowledge of its diversity has only resulted in the lack of uniformity in the fruit quality. It has become imperative to identify superior varieties that meet the demands of the market to improve the citrus industry. Hence, a total of 105 accessions of mandarin were collected randomly from different locations to assess the morphological diversity using cluster analysis and DIVA-GIS. The orchards were randomly visited in each district of the state of Sikkim and two hilly districts of the state of West Bengal (WB). A sample tree was selected from each orchard and the quantitative and qualitative characters of its leaves, flowers, and fruits were measured. A significant variation was observed in the quantitative characters with a positive correlation between fruit weight and length, fruit diameter and weight, total soluble solids (TSS) /acidity and fruit diameter. The first 6 components of Principal component analysis (PCA) exhibited 69.34% of the total variation. DIVA-GIS showed the highest diversity index for fruit weight, fruit diameter and TSS/acidity in East district, Sikkim. The highest coefficient variation for fruit diameter was observed in the East district and Darjeeling district, WB and TSS/acidity and fruit weight in East district. The dendrogram generated divided the accessions into two major clusters. The grid maps generated identified diverse accessions in the East district and Darjeeling district, which can be a source of superior germplasm
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Xie, Chunping, Xiaoya Yu, Dawei Liu, and Yan Fang. "Modelling Suitable Habitat and Ecological Characteristics of Old Trees Using DIVA-GIS in Anhui Province, China." Polish Journal of Environmental Studies 29, no. 2 (2020): 1931–43. http://dx.doi.org/10.15244/pjoes/110346.

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Dissertations / Theses on the topic "DIVA-GIS"

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Bereng, Mosiuoa Walter. "Understanding environmental factors influencing invasion of Lilium formosanum in Mpumalanga Province and models of its potential distribution in South Africa." Diss., University of Pretoria, 2014. http://hdl.handle.net/2263/79711.

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Alien invasive plants are of concern in the world because of their potential to spread into the natural environment. Invasion patterns observed in plant species can be attributed among other things to favourable environmental conditions. Understanding invasion dynamics of alien invasive plants can help in timely intervention initiatives. In Mpumalanga, Lilium formosanum (Liliaceae) appears to be an emerging plant invader and is spreading in the natural environment. The study investigated the invasion extent and predictor variables which could explain abundance patterns of L. formosanum in the invasive range in Mpumalanga province in South Africa and further predict regions of the world that could be climatically suitable. Lilium formosanum was surveyed along 11 major routes leading into the towns of Sabie and Graskop in Mpumalanga from a slow moving vehicle. A total of 241 kilometres was surveyed. Lilium formosanum was found to be invasive from the towns of Sabie and Graskop. Climatically suitable areas were predicted using DIVA-GIS and climate data was obtained from WORLDCLIM database while occurrence records were obtained from the Southern African Plant Invaders Atlas, Australia’s virtual herbarium and the Global Biodiversity Information Facility. In conclusion, distance, altitude and route were found to have an influence on the abundance of L. formosanum in Mpumalanga Province. Climatically suitable areas included the eastern coastal belt, northern provinces and the interior parts of South Africa including major parts of Limpopo and Mpumalanga.<br>Dissertation (MSc)--University of Pretoria, 2014.<br>Plant Production and Soil Science<br>MSc<br>Unrestricted
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Conference papers on the topic "DIVA-GIS"

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De Almeida, Daniel Goes, Daniel Da Paixão Menezes Fabricante, and Juliano Ricardo. "MODELAGEM DE NICHO CLIMÁTICO DE ANADENANTHERA COLUBRINA VAR. CEBIL: SELEÇÃO DE ÁREAS PARA A CONSERVAÇÃO DA ESPÉCIE." In I Congresso Brasileiro de Biodiversidade Virtual. Revista Multidisciplinar de Educação e Meio Ambiente, 2021. http://dx.doi.org/10.51189/rema/1067.

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Introdução: A espécie Anadenanthera colubrina var. cebil (Griseb.) Altschul é uma Fabaceae arbórea nativa do Brasil conhecida popularmente como angico-vermelho. É uma espécie de múltiplos usos (madeireira, medicinal, ornamental, para a recuperação de áreas degradadas, etc) com distribuição natural na Caatinga, Cerrado e Mata Atlântica. Como consequência da intensa degradação e da forte pressão antrópica que sofrem os locais de ocorrência naturais do táxon, as suas populações estão cada vez mais reduzidas e ameaçadas. Objetivo: Nosso estudo teve como objetivo realizar uma análise de modelagem de nicho climático para a A. colubrina var. cebil visando a seleção de sítios adequados para a conservação da espécie. Material e métodos: Para a realização desse estudo, foram coletados pontos de ocorrência georreferenciados do táxon na base de dados Gbif. Pontos repetidos e com erros foram removidos. Para a análise de modelagem utilizou-se o algoritmo bioclim e o software utilizado para a confecção dos mapas foi o Diva-Gis. Resultados: A espécie apresentou susceptibilidade de ocorrência extremamente alta em boa parte dos domínios da Caatinga, Cerrado e Pantanal. Na Mata Atlântica e Floresta Amazônica variou de baixa a extremamente alta. Nos Pampas foi predominantemente baixa. As regiões Nordeste, Centro-Oeste e Sudeste foram as que apresentaram maior susceptibilidade de ocorrência da espécie. Nas regiões Norte e Sul, boa parte de seus territórios apresentaram baixa susceptibilidade. Conclusão: Nossos resultados sugerem haver uma área bastante extensa para implantação de projetos que visem a conservação da espécie A. colubrina var. cebil, destacando-se sítios que ficam entre as latitudes de 5°S a 25°S.
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