Institution
International Union for Conservation of Nature and Natural Resources
Nonprofit•Dhaka, Bangladesh•
About: International Union for Conservation of Nature and Natural Resources is a nonprofit organization based out in Dhaka, Bangladesh. It is known for research contribution in the topics: Biodiversity & Population. The organization has 1317 authors who have published 1870 publications receiving 97588 citations.
Papers published on a yearly basis
Papers
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Leibniz Association1, Technische Universität München2, University of Potsdam3, Colorado State University4, University of Oxford5, Wildlife Conservation Society6, University of California, Davis7, Indonesian Institute of Sciences8, Mulawarman University9, Universiti Malaysia Sabah10, Kyoto University11, International Union for Conservation of Nature and Natural Resources12, Mississippi State University13
TL;DR: It is concluded that a substantial improvement in the quality of model predictions can be achieved if uneven sampling effort is taken into account, thereby improving the efficacy of species conservation planning.
Abstract: Aim
Advancement in ecological methods predicting species distributions is a crucial precondition for deriving sound management actions. Maximum entropy (MaxEnt) models are a popular tool to predict species distributions, as they are considered able to cope well with sparse, irregularly sampled data and minor location errors. Although a fundamental assumption of MaxEnt is that the entire area of interest has been systematically sampled, in practice, MaxEnt models are usually built from occurrence records that are spatially biased towards better-surveyed areas. Two common, yet not compared, strategies to cope with uneven sampling effort are spatial filtering of occurrence data and background manipulation using environmental data with the same spatial bias as occurrence data. We tested these strategies using simulated data and a recently collated dataset on Malay civet Viverra tangalunga in Borneo.
Location
Borneo, Southeast Asia.
Methods
We collated 504 occurrence records of Malay civets from Borneo of which 291 records were from 2001 to 2011 and used them in the MaxEnt analysis (baseline scenario) together with 25 environmental input variables. We simulated datasets for two virtual species (similar to a range-restricted highland and a lowland species) using the same number of records for model building. As occurrence records were biased towards north-eastern Borneo, we investigated the efficacy of spatial filtering versus background manipulation to reduce overprediction or underprediction in specific areas.
Results
Spatial filtering minimized omission errors (false negatives) and commission errors (false positives). We recommend that when sample size is insufficient to allow spatial filtering, manipulation of the background dataset is preferable to not correcting for sampling bias, although predictions were comparatively weak and commission errors increased.
Main Conclusions
We conclude that a substantial improvement in the quality of model predictions can be achieved if uneven sampling effort is taken into account, thereby improving the efficacy of species conservation planning.
822 citations
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International Union for Conservation of Nature and Natural Resources1, Sapienza University of Rome2, University of the Witwatersrand3, Microsoft4, Wildlife Conservation Society5, University of Queensland6, BirdLife International7, Norwegian Polar Institute8, James Cook University9, Conservation International10, Commonwealth Scientific and Industrial Research Organisation11, Stony Brook University12, Chinese Academy of Sciences13, Durham University14, National University of Singapore15, University of Melbourne16, Stellenbosch University17, Zoological Society of London18, University College London19, NatureServe20
TL;DR: In this article, three main approaches used to derive these currencies (correlative, mechanistic and trait-based) and their associated data requirements, spatial and temporal scales of application and modelling methods are described.
Abstract: The effects of climate change on biodiversity are increasingly well documented, and many methods have been developed to assess species' vulnerability to climatic changes, both ongoing and projected in the coming decades. To minimize global biodiversity losses, conservationists need to identify those species that are likely to be most vulnerable to the impacts of climate change. In this Review, we summarize different currencies used for assessing species' climate change vulnerability. We describe three main approaches used to derive these currencies (correlative, mechanistic and trait-based), and their associated data requirements, spatial and temporal scales of application and modelling methods. We identify strengths and weaknesses of the approaches and highlight the sources of uncertainty inherent in each method that limit projection reliability. Finally, we provide guidance for conservation practitioners in selecting the most appropriate approach(es) for their planning needs and highlight priority areas for further assessments.
808 citations
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Michigan State University1, Empresa Brasileira de Pesquisa Agropecuária2, Columbia University3, Massachusetts Institute of Technology4, Purdue University5, University of Maryland, College Park6, Stanford University7, University of São Paulo8, Chinese Academy of Sciences9, University of Copenhagen10, Federal University of Pará11, VU University Amsterdam12, China Agricultural University13, International Union for Conservation of Nature and Natural Resources14
TL;DR: In this article, an integrated framework based on telecoupling, an umbrella concept that refers to socioeconomic and environmental interactions over distances, is proposed to understand and integrate various distant interactions better.
Abstract: Interactions between distant places are increasingly widespread and influential, often leading to unexpected outcomes with profound implications for sustainability. Numerous sustainability studies have been conducted within a particular place with little attention to the impacts of distant interactions on sustainability in multiple places. Although distant forces have been studied, they are usually treated as exogenous variables and feedbacks have rarely been considered. To understand and integrate various distant interactions better, we propose an integrated framework based on telecoupling, an umbrella concept that refers to socioeconomic and environmental interactions over distances. The concept of telecoupling is a logical extension of research on coupled human and natural systems, in which interactions occur within particular geographic locations. The telecoupling framework contains five major interrelated components, i.e., coupled human and natural systems, flows, agents, causes, and effects. We illustrate the framework using two examples of distant interactions associated with trade of agricultural commodities and invasive species, highlight the implications of the framework, and discuss research needs and approaches to move research on telecouplings forward. The framework can help to analyze system components and their interrelationships, identify research gaps, detect hidden costs and untapped benefits, provide a useful means to incorporate feedbacks as well as trade-offs and synergies across multiple systems (sending, receiving, and spillover systems), and improve the understanding of distant interactions and the effectiveness of policies for socioeconomic and environmental sustainability from local to global levels.
785 citations
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TL;DR: In this paper, the authors review what is known about the pathogens that emerge, the hosts that they originate in, and the factors that drive their emergence and discuss challenges to their control and new efforts to predict pandemics.
751 citations
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George Washington University1, University of Oklahoma2, University of Kansas3, International Union for Conservation of Nature and Natural Resources4, University of Alaska Fairbanks5, Shanghai Ocean University6, Johnson County Community College7, Old Dominion University8, University of Nebraska–Lincoln9, Loyola University Chicago10, University of Nebraska Omaha11, Florida A&M University12
TL;DR: A comprehensive molecular phylogeny for bony fishes that includes representatives of all major lineages and the order Perciformes, considered by many a polyphyletic taxonomic waste basket, is defined for the first time as a monophyletic group in the global phylogeny.
Abstract: The tree of life of fishes is in a state of flux because we still lack a comprehensive phylogeny that includes all major groups. The situation is most critical for a large clade of spiny-finned fishes, traditionally referred to as percomorphs, whose uncertain relationships have plagued ichthyologists for over a century. Most of what we know about the higher-level relationships among fish lineages has been based on morphology, but rapid influx of molecular studies is changing many established systematic concepts. We report a comprehensive molecular phylogeny for bony fishes that includes representatives of all major lineages. DNA sequence data for 21 molecular markers (one mitochondrial and 20 nuclear genes) were collected for 1410 bony fish taxa, plus four tetrapod species and two chondrichthyan outgroups (total 1416 terminals). Bony fish diversity is represented by 1093 genera, 369 families, and all traditionally recognized orders. The maximum likelihood tree provides unprecedented resolution and high bootstrap support for most backbone nodes, defining for the first time a global phylogeny of fishes. The general structure of the tree is in agreement with expectations from previous morphological and molecular studies, but significant new clades arise. Most interestingly, the high degree of uncertainty among percomorphs is now resolved into nine well-supported supraordinal groups. The order Perciformes, considered by many a polyphyletic taxonomic waste basket, is defined for the first time as a monophyletic group in the global phylogeny. A new classification that reflects our phylogenetic hypothesis is proposed to facilitate communication about the newly found structure of the tree of life of fishes. Finally, the molecular phylogeny is calibrated using 60 fossil constraints to produce a comprehensive time tree. The new time-calibrated phylogeny will provide the basis for and stimulate new comparative studies to better understand the evolution of the amazing diversity of fishes.
740 citations
Authors
Showing all 1320 results
Name | H-index | Papers | Citations |
---|---|---|---|
Kevin M. Smith | 114 | 1711 | 78470 |
Ary A. Hoffmann | 113 | 907 | 55354 |
David W. Macdonald | 111 | 1109 | 51334 |
Michael R. Hoffmann | 109 | 500 | 63474 |
Fred W. Allendorf | 86 | 230 | 34738 |
Edward B. Barbier | 84 | 450 | 36753 |
James J. Yoo | 81 | 491 | 27738 |
Michael William Bruford | 80 | 369 | 23635 |
James E. M. Watson | 74 | 461 | 23362 |
Brian Huntley | 74 | 225 | 28875 |
Brian W. Bowen | 74 | 181 | 17451 |
Gordon Luikart | 72 | 193 | 37564 |
Stuart H. M. Butchart | 72 | 245 | 26585 |
Thomas M. Brooks | 71 | 215 | 33724 |
Joshua E. Cinner | 68 | 177 | 14384 |