Modelling the known and unknown plant biodiversity of the Amazon Basin
By M. Hopkins. 2007
281 citations recorded by the source corpus.
Subfields: Ecology, Evolution, Behavior and Systematics, Nature and Landscape Conservation
View Paper: https://www.semanticscholar.org/paper/fa87db0f343fbbbc2347c0947a872d1d993a8e6f
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
In Ecology, Evolution, Behavior and Systematics
- Kenneth J. Feeley
- M. Silman
- Yadvinder S. Malhi
- Oliver L. Phillips
- Jorge M. Lobo
- Luis Mauricio Bini
- J. Diniz-Filho
- C. Baraloto
In Nature and Landscape Conservation
- Joaquín Hortal
- Jorge M. Lobo
- Kenneth J. Feeley
- Miguel B. Araújo
- Wilfried Thuiller
- J. Diniz-Filho
- M. Silman
- Paulo De Marco Jr
Citations in the corpus
- Tree species compositional change and conservation implications in the white‐water flooded forests of the Brazilian Amazon (2012, background): “Collections of Amazonian species are incomplete and spatially biased (Nelson et al., 1990; Hopkins, 2007; Schulman et al., 2007a), and consequently their direct utility for conservation planning is limited.”
- Seven Shortfalls that Beset Large-Scale Knowledge of Biodiversity (2015, background): “These include remote regions such as the forests of southwest Amazonia (Bush & Lovejoy 2007, Hopkins 2007) but also poorly studied ecosystems such as the deep sea (Rex & Etter 2010) or the upper canopies of rainforests (Ellwood & Foster 2004).”
- The strong influence of collection bias on biodiversity knowledge shortfalls of Brazilian terrestrial biodiversity (2016, background): “This can be explained by the fact that research centres, around which most biodiversity sampling is concentrated, are usually located in the same urban centres, leading to common patterns of distribution of records among different taxa (Nelson et al., 1990; Moerman & Estabrook, 2006; Hopkins, 2007).”
- Completeness of digital accessible knowledge of the plants of Brazil and priorities for survey and inventory (2014, background): “For instance, EMBRAPA-Amazônia Oriental and Museu Paraense Em ılio Goeldi are two important herbaria that are not as yet part of the network.”
- Analysing botanical collecting effort in Amazonia and correcting for it in species range estimation (2007, background): “Therefore, simple maps presenting, for instance, concentrations of endemism actually only show where most people have collected (Nelson et al., 1990; Kress et al., 1998; Hopkins, 2007).”
- How far can we go in simplifying biomonitoring assessments? An integrated analysis of taxonomic surrogacy, taxonomic sufficiency and numerical resolution in a megadiverse region (2012, background): “The huge diversity found in the Amazon would require an inordinately large number of taxonomists for a basic inventory of this diversity (Hopkins, 2007), and many tropical areas are still practically inaccessible, especially in the Amazon region (Schulman et al., 2007).”
- Hyperdominance in the Amazonian Tree Flora (2013, background): “First, it provides the most precise estimates yet of two numbers that have been debated for decades: how many trees and how many tree species occur in the ~6 million km(2) landscape of Amazonia (1-4).”
- Conservation biogeography – foundations, concepts and challenges (2010, methodology): “…taxonomic and distributional data are becoming available for analysis, we need to develop evermore sophisticated means of determining which components of diversity variation may be artefacts of collecting intensity or inadequacies of method, as opposed to ‘real’ pattern (see, e.g. Hopkins, 2007).”
- Mapping ignorance: 300 years of collecting flowering plants in Africa (2016, background): “However, the magnitude of the errors is rarely quantified (Hopkins, 2007; Boakes et al., 2010).”
- Beyond scarcity: citizen science programmes as useful tools for conservation biogeography (2010, methodology): “Overall, as soon as an adequate quantity of data is available from well-designed protocols, there are many techniques for extracting useful information from imperfect datasets (e.g. Hopkins, 2007; Nakagawa & Cuthill, 2007).”
- Growing knowledge: an overview of Seed Plant diversity in Brazil (2015, background): “Hopkins (2007) and ter Steege et al. (2013), point at the poor state of floristic knowledge of the Amazon basin.”