Overcoming the Data Crisis in Biodiversity Conservation. 2018

Holly K Kindsvater, and Nicholas K Dulvy, and Cat Horswill, and Maria-José Juan-Jordá, and Marc Mangel, and Jason Matthiopoulos
Department of Ecology, Evolution, and Natural Resources, Rutgers University, 14 College Farm Road, New Brunswick, NJ 08901, USA. Electronic address: holly.kindsvater@rutgers.edu.

How can we track population trends when monitoring data are sparse? Population declines can go undetected, despite ongoing threats. For example, only one of every 200 harvested species are monitored. This gap leads to uncertainty about the seriousness of declines and hampers effective conservation. Collecting more data is important, but we can also make better use of existing information. Prior knowledge of physiology, life history, and community ecology can be used to inform population models. Additionally, in multispecies models, information can be shared among taxa based on phylogenetic, spatial, or temporal proximity. By exploiting generalities across species that share evolutionary or ecological characteristics within Bayesian hierarchical models, we can fill crucial gaps in the assessment of species' status with unparalleled quantitative rigor.

UI MeSH Term Description Entries
D008954 Models, Biological Theoretical representations that simulate the behavior or activity of biological processes or diseases. For disease models in living animals, DISEASE MODELS, ANIMAL is available. Biological models include the use of mathematical equations, computers, and other electronic equipment. Biological Model,Biological Models,Model, Biological,Models, Biologic,Biologic Model,Biologic Models,Model, Biologic
D011157 Population Dynamics The pattern of any process, or the interrelationship of phenomena, which affects growth or change within a population. Malthusianism,Neomalthusianism,Demographic Aging,Demographic Transition,Optimum Population,Population Decrease,Population Pressure,Population Replacement,Population Theory,Residential Mobility,Rural-Urban Migration,Stable Population,Stationary Population,Aging, Demographic,Decrease, Population,Decreases, Population,Demographic Transitions,Dynamics, Population,Migration, Rural-Urban,Migrations, Rural-Urban,Mobilities, Residential,Mobility, Residential,Optimum Populations,Population Decreases,Population Pressures,Population Replacements,Population Theories,Population, Optimum,Population, Stable,Population, Stationary,Populations, Optimum,Populations, Stable,Populations, Stationary,Pressure, Population,Pressures, Population,Replacement, Population,Replacements, Population,Residential Mobilities,Rural Urban Migration,Rural-Urban Migrations,Stable Populations,Stationary Populations,Theories, Population,Theory, Population,Transition, Demographic,Transitions, Demographic
D003247 Conservation of Natural Resources The protection, preservation, restoration, and rational use of all resources in the total environment. Carrying Capacity,Deforestation,Desertification,Environmental Protection,Natural Resources Conservation,Protection, Environmental,Capacities, Carrying,Capacity, Carrying,Carrying Capacities,Conservation, Natural Resources
D000071421 Life History Traits Morphological or behavioral traits influenced by various living conditions that a population encounters especially as it pertains to REPRODUCTION and survival of the population (see POPULATION DYNAMICS) such as age at first reproductive event, number and size of offspring, and lifespan. Life History Characteristics,Life History Strategies,Life History Strategy,Life History Theory,Life History Variation,Life History Characteristic,Life History Trait,Life History Variations,Strategies, Life History,Strategy, Life History
D000078332 Data Analysis Process of systematically applying statistical and/or logical techniques to describe and illustrate, condense and recap, and evaluate data (https://ori.hhs.gov/education). Analyses, Data,Analysis, Data,Data Analyses
D001499 Bayes Theorem A theorem in probability theory named for Thomas Bayes (1702-1761). In epidemiology, it is used to obtain the probability of disease in a group of people with some characteristic on the basis of the overall rate of that disease and of the likelihood of that characteristic in healthy and diseased individuals. The most familiar application is in clinical decision analysis where it is used for estimating the probability of a particular diagnosis given the appearance of some symptoms or test result. Bayesian Analysis,Bayesian Estimation,Bayesian Forecast,Bayesian Method,Bayesian Prediction,Analysis, Bayesian,Bayesian Approach,Approach, Bayesian,Approachs, Bayesian,Bayesian Approachs,Estimation, Bayesian,Forecast, Bayesian,Method, Bayesian,Prediction, Bayesian,Theorem, Bayes
D044822 Biodiversity The variety of all native living organisms and their various forms and interrelationships. Biological Diversity,Diversity, Biological

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