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Titlebook: Methods For Monitoring Tiger And Prey Populations; K. Ullas Karanth,James D. Nichols Book 2017 Springer Nature Singapore Pte Ltd. 2017 Ada

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發(fā)表于 2025-3-21 18:05:19 | 只看該作者 |倒序瀏覽 |閱讀模式
書目名稱Methods For Monitoring Tiger And Prey Populations
編輯K. Ullas Karanth,James D. Nichols
視頻videohttp://file.papertrans.cn/633/632189/632189.mp4
概述Targets a wide international audience with a focus on global conservation of tigers -- a priority specie.Provides clear description of state-of-the-art population sampling, modeling and estimation met
圖書封面Titlebook: Methods For Monitoring Tiger And Prey Populations;  K. Ullas Karanth,James D. Nichols Book 2017 Springer Nature Singapore Pte Ltd. 2017 Ada
描述.This book addresses issues of monitoring populations of tigers, ungulate prey species and habitat occupancy, with relevance to similar assessments of large mammal species and general biodiversity. It covers issues of rigorous sampling, modeling, estimation and adaptive management of animal populations using cutting-edge tools, such as camera-traps, genetic identification and Geographic Information Systems (GIS), applied under the modern statistical approach of Bayesian and likelihood-based inference. Of special focus here are animal survey data derived for use under spatial capture-recapture, occupancy, distance sampling, mixture-modeling and connectivity analysees. Because tigers are an icons of global conservation, in last five decades,enormous amounts of commitment and resources have been invested by tiger range countries and the conservation community for saving wild tigers. However, status of the big cat remains precarious. Rigorous monitoring of surviving wild tiger populations continues to be essential for both understanding and recovering wild tigers. However, many tiger monitoring programs lack the necessary rigor to generate the reliable results. While the deployment of
出版日期Book 2017
關鍵詞Adaptive Management; Conservation; Population sampling; Statistical modeling; Tigers
版次1
doihttps://doi.org/10.1007/978-981-10-5436-5
isbn_softcover978-981-13-5397-0
isbn_ebook978-981-10-5436-5
copyrightSpringer Nature Singapore Pte Ltd. 2017
The information of publication is updating

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發(fā)表于 2025-3-21 23:20:13 | 只看該作者
Concepts: Integrating Population Survey Data from Different Spatial Scales, Sampling Methods, and Sust for protected reserves, but also for large spatial scales, including landscapes, regions, states, nations, and even globally. Estimating the abundance of tigers within relatively small areas (e.g., protected reserves) is becoming increasingly tractable (see Chaps.?9 and 10), but doing so for lar
板凳
發(fā)表于 2025-3-22 02:09:34 | 只看該作者
orials cover logical foundations for constructing and queryi.This volume contains lecture notes of the 15th Reasoning Web Summer School (RW 2019), held in Bolzano, Italy, in September 2019. .The research areas of Semantic Web, Linked Data, and Knowledge Graphs have recently received a lot of attenti
地板
發(fā)表于 2025-3-22 07:58:32 | 只看該作者
K. Ullas Karanth,James D. Nichols,John M. Goodrich,G. Viswanatha Reddy,Vinod B. Mathur,Hariyo T. Wibedge base. In this context, two of the main problems that arise are: (i) uncertainty, including both inherent uncertainty (such as events involving the weather) and uncertainty arising from lack of sufficient knowledge; and (ii) inconsistency, which involves dealing with conflicting knowledge. These
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發(fā)表于 2025-3-22 09:53:06 | 只看該作者
K. Ullas Karanth,John M. Goodrich,Dale G. Miquelle,Krishnamurthy Ramesh,Abishek Harihar,Anak Pattanald-start setting which assumes as given an ontology that models classes and properties relevant for the domain of interest, and an empty knowledge base that needs to be populated from unstructured text. More specifically, cold-start knowledge base population consists in predicting semantic structure
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發(fā)表于 2025-3-22 16:12:31 | 只看該作者
James D. Nichols,K. Ullas Karanth,Arjun M. Gopalaswamy,Mohan Delampadyld-start setting which assumes as given an ontology that models classes and properties relevant for the domain of interest, and an empty knowledge base that needs to be populated from unstructured text. More specifically, cold-start knowledge base population consists in predicting semantic structure
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發(fā)表于 2025-3-22 22:34:45 | 只看該作者
N. Samba Kumar,Mahi Puri,Dale G. Miquelle,Anak Pattanavibool,Abishek Harihar,Sunarto Sunarto,Srinivaon rules to process Select-Project-Join (SPJ) queries, which form the basis for a variety of declarative query languages such as Datalog, Relational Algebra, and SQL. They employ logical consistency constraints to resolve data inconsistencies, and they represent query answers via logical lineage for
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