1 resultado para collaborative planning
Filtro por publicador
- AMS Tesi di Dottorato - Alm@DL - Università di Bologna (1)
- Andina Digital - Repositorio UASB-Digital - Universidade Andina Simón Bolívar (1)
- Archive of European Integration (4)
- Aston University Research Archive (5)
- Avian Conservation and Ecology - Eletronic Cientific Hournal - Écologie et conservation des oiseaux: (1)
- Biblioteca Digital da Produção Intelectual da Universidade de São Paulo (BDPI/USP) (19)
- Biblioteca Virtual del Sistema Sanitario Público de Andalucía (BV-SSPA), Junta de Andalucía. Consejería de Salud y Bienestar Social, Spain (1)
- Biodiversity Heritage Library, United States (1)
- BORIS: Bern Open Repository and Information System - Berna - Suiça (3)
- Brock University, Canada (13)
- CentAUR: Central Archive University of Reading - UK (256)
- CiencIPCA - Instituto Politécnico do Cávado e do Ave, Portugal (1)
- Cochin University of Science & Technology (CUSAT), India (9)
- Consorci de Serveis Universitaris de Catalunya (CSUC), Spain (49)
- Cor-Ciencia - Acuerdo de Bibliotecas Universitarias de Córdoba (ABUC), Argentina (1)
- CUNY Academic Works (2)
- Dalarna University College Electronic Archive (4)
- Digital Commons - Montana Tech (1)
- Digital Commons at Florida International University (2)
- Digital Peer Publishing (2)
- Doria (National Library of Finland DSpace Services) - National Library of Finland, Finland (99)
- DRUM (Digital Repository at the University of Maryland) (1)
- Ecology and Society (2)
- FUNDAJ - Fundação Joaquim Nabuco (3)
- Galway Mayo Institute of Technology, Ireland (2)
- Illinois Digital Environment for Access to Learning and Scholarship Repository (1)
- Institute of Public Health in Ireland, Ireland (31)
- Institutional Repository of Leibniz University Hannover (1)
- Instituto Politécnico do Porto, Portugal (33)
- Iowa Publications Online (IPO) - State Library, State of Iowa (Iowa), United States (78)
- Lume - Repositório Digital da Universidade Federal do Rio Grande do Sul (1)
- Martin Luther Universitat Halle Wittenberg, Germany (1)
- Massachusetts Institute of Technology (4)
- Ministerio de Cultura, Spain (19)
- QUB Research Portal - Research Directory and Institutional Repository for Queen's University Belfast (4)
- ReCiL - Repositório Científico Lusófona - Grupo Lusófona, Portugal (11)
- Repositório Científico do Instituto Politécnico de Lisboa - Portugal (13)
- Repositório da Escola Nacional de Administração Pública (ENAP) (2)
- Repositório da Produção Científica e Intelectual da Unicamp (2)
- Repositório da Universidade Federal do Espírito Santo (UFES), Brazil (1)
- Repositório digital da Fundação Getúlio Vargas - FGV (1)
- Repositório Institucional UNESP - Universidade Estadual Paulista "Julio de Mesquita Filho" (3)
- RUN (Repositório da Universidade Nova de Lisboa) - FCT (Faculdade de Cienecias e Technologia), Universidade Nova de Lisboa (UNL), Portugal (35)
- School of Medicine, Washington University, United States (1)
- Scielo Saúde Pública - SP (17)
- Universidad Autónoma de Nuevo León, Mexico (2)
- Universidad de Alicante (1)
- Universidad del Rosario, Colombia (9)
- Universidad Politécnica de Madrid (2)
- Universidade do Minho (11)
- Universidade dos Açores - Portugal (3)
- Universitat de Girona, Spain (3)
- Universitätsbibliothek Kassel, Universität Kassel, Germany (6)
- Université de Lausanne, Switzerland (92)
- Université de Montréal, Canada (20)
- University of Queensland eSpace - Australia (76)
- University of Southampton, United Kingdom (20)
Resumo:
Two types of ecological thresholds are now being widely used to develop conservation targets: breakpoint-based thresholds represent tipping points where system properties change dramatically, whereas classification thresholds identify groups of data points with contrasting properties. Both breakpoint-based and classification thresholds are useful tools in evidence-based conservation. However, it is critical that the type of threshold to be estimated corresponds with the question of interest and that appropriate statistical procedures are used to determine its location. On the basis of their statistical properties, we recommend using piecewise regression methods to identify breakpoint-based thresholds and discriminant analysis or classification and regression trees to identify classification thresholds.