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habitat suitability index Modelling for Bluebull (Boselaphus tragocamelus) in Pench Tiger Reserve, M.P. India

Journal of Zoological Research 2021年第3期3卷 44-50页

作者： Abdul Haleem Orus Ilyas Department of Wildlife Sciences AMU AligarhIndia

The habitats for the wild animals are shrinking due to the clearance of forests for agriculture and *** idea of wildlife conservation begins with the identification of their acceptable *** this crucial information helps in the development and maintenance of the protected *** requirement of habitat varies with different *** bluebull(Boselaphus tragocamelus)is Asia’s largest antelope,widespread throughout the northern Indian *** Simon Pallasin(1766)described it as the only member of the genus *** Wildlife(Protection)Act of 1972 lists it as a Schedule III animal,while the IUCN lists it as Least Concern(LC).Our goal was to design a habitat appropriateness model for blue bull so that it could reduce the conflict with farming community due to crop *** will be develop using RS&GIS technique to protect the species inside the Pench Tiger Reserve(77°55’W to 79°35’E and 21°08’S to 22°00’N)the central highlands of *** satellite data from LANDSAT-8 of 4th April 2015,Path-144,Row-45,with a ground resolution of 30 meters,were collected from the USGS *** satellite image was then transferred in image format to ERDAS IMAGINE 2013 for further *** data from satellites were gathered and *** purpose of the field survey was to gather information about the presence of various ungulates.A ground truthing exercise was also carried *** data processing and GIS analysis,ERDAS IMAGINE 13 and Arc GIS 10 were *** Hierarchy Process(AHP)was used Factors were identified who were influencing the spatial distribution of the species for conservation *** linear additive model was used for *** results show that 242 km^(2)(29.48 percent)of Pench Tiger Reserve forest was recognized to be highly suitable for bluebull,while 196 km^(2)(23.87 percent)was moderately suitable,231 km^(2)(28.14 percent)was suitable,109 km^(2)(13.28 percent)was least suitable,and about 43 km^(

关键词： Bluebull Pench tiger reserve habitat suitability index

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habitat suitability of Scapharca subcrenata (Lischke) inthe shallow water of the Xiaoheishan Island

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Acta Oceanologica Sinica 2016年第12期35卷 51-57页

作者： ZHOU Jian SONG Jingjing BM Qianling LIU Chengyue ZHANG Zhipeng TANG Haitian Shandong Marine Forecast and Hazard Mitigation Service Qingdao 266104 China Marine Biology Institute of Shandong Province Qingdao 266104 China Tianjin University of Science and Technology Tianjin 300457 China College of Marine Life Ocean University of China Qingdao 266100 China Yantai Marine Environment Monitoring Central Station of State Oceanic Administration Yantai 264006 China

The habitat suitability index(HSI) model was used to identify potential sites for sustainable restoration of ark shell, Scapharca subcrenata(Lischke), in the shallow water of Xiaoheishan Island, using a geographic information system framework. The seven input variables of the HSI model were sediment composition, water temperature, salinity, dissolved oxygen, water depth, p H, and ammonia. A non-linear suitability function for each variable factor was used to transform the value into a normalized quality index ranging from 0(nonsuitability) to 1(best suitability). In present study, the analysis of habitat suitability was conducted for four seasons respectively. The majority of the study area has a high HSI value(>0.6) year round, which implies a strong suitability for restoration, with the optimal habitat located on the eastern side of the *** analysis indicated that water temperature was the main factor causing seasonal variation,while sediment composition and water depth were the two major reasons for the differences in sites. The results of this work could provide support for restoration decision making through identification of potential sites for sustainable establishment of S. subcrenata.

关键词： Scapharca subcrenata(Lischke) habitat suitability index restoration shallow water

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Optimization of environmental variables in habitat suitability modeling for mantis shrimp Oratosquilla oratoria in the Haizhou Bay and adjacent waters

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Acta Oceanologica Sinica 2020年第6期39卷 36-47页

作者： Yunlei Zhang Huaming Yu Haiqing Yu Binduo Xu Chongliang Zhang Yiping Ren Ying Xue Lili Xu College of Fisheries Ocean University of ChinaQingdao 266003China Laboratory for Marine Fisheries Science and Food Production Processes Pilot National Laboratory for Marine Science and Technology(Qingdao)Qingdao 266237China College of Oceanic and Atmospheric Sciences Ocean University of ChinaQingdao 266100China Institute of Oceanology Chinese Academy of SciencesQingdao 266071China

habitat suitability index(HSI)models have been widely used to analyze the relationship between species abundance and environmental factors,and ultimately inform management of marine *** response of species abundance to each environmental variable is different and habitat requirements may change over life history stages and ***,it is necessary to determine the optimal combination of environmental variables in HSI *** this study,generalized additive models(GAMs)were used to determine which environmental variables to be included in the HSI *** variables were retained and weighted in the HSI model according to their relative contribution(%)to the total deviation explained by the boosted regression tree(BRT).The HSI models were applied to evaluate the habitat suitability of mantis shrimp Oratosquilla oratoria in the Haizhou Bay and adjacent areas in 2011 and 2013–*** and seasonal variations in HSI models of mantis shrimp were also *** the four models(non-optimized model,BRT informed HSI model,GAM informed HSI model,and both BRT and GAM informed HSI model),both BRT and GAM informed HSI model showed the best *** environmental variables(bottom temperature,depth,distance offshore and sediment type)were selected in the HSI models for four groups(spring-juvenile,spring-adult,falljuvenile and fall-adult)of mantis *** distribution of habitat suitability showed similar patterns between juveniles and adults,but obvious seasonal variations were *** study suggests that the process of optimizing environmental variables in HSI models improves the performance of HSI models,and this optimization strategy could be extended to other marine organisms to enhance the understanding of the habitat suitability of target species.

关键词： habitat suitability index mantis shrimp generalized additive model boosted regression tree Haizhou Bay

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Identification and Mapping of Essential Fish habitats Using Remote Sensing and GIS on Lake Victoria, Kenya

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Journal of Geoscience and Environment Protection 2021年第10期9卷 91-109页

作者： Mark Kipkurwa Boitt Erick Otieno Aete Institute of Geomatics GIS and Remote Sensing (IGGReS) Dedan Kimathi University of Technology Nyeri Kenya Department of Geomatic Engineering and GIS (GEGIS) Jomo Kenyatta University of Agriculture and Technology Nairobi Kenya

Fisheries in Lake Victoria have been threatened by declining fish stocks and diversity, environmental degradation due to increased input of pollutants, industrial and municipal waste, overfishing and use of unapproved fishing methods, infestation by aquatic weeds especially water hyacinth, de-oxygenation and a reduction in the quantity and quality of water. Remote sensing and GIS are essential tools in detection of fishing grounds which is important in providing fish sustainability for human beings and allows fishing grounds detection at minimal cost and optimizes effort. This research tends to identify the most favorable both environmentally and ecologically satisfactory factors which favor fish breeding and growth. The main aim of the study was to identify habitat variables that promote fish breeding and growth to maturity including the extraction of environmental variables from Landsat 8 images for the study period and using suitability index derived from fishery data. The study concentrated on establishing suitability ratings in different parts of Lake Victoria using lake surface temperature and chlorophyll-a levels. The study was conducted for months;January, May and December 2019 on Lake Victoria (limited by the availability of recent data). The factors were analysed and the favorable regions mapped satisfying the conditions for fish breeding. The output obtained illustrated the availability of suitable and habitable zones within the lake using satellite imagery and the suitability index. The fish catch data and satellite derived variables were used to determine habitat suitability indices for fish during January, May and December 2019. More than 90% of the total catch was found to come from the areas with sea surface temperature of 23.0˚C - 28.3˚C and chlorophyll-a concentration between 0.72 -

关键词： Catch Per Unit Effort Potential Fishing Zones Geographic Information Systems High Resolution Satellite Image habitat suitability index

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