Journal ArticleDOI
Tradeoffs of different types of species occurrence data for use in systematic conservation planning.
Reads0
Chats0
TLDR
Conservation plans should include an estimation of commission and omission errors in underlying species data and explicitly use this information to influence conservation planning outcomes.Abstract:
Data on the occurrence of species are widely used to inform the design of reserve networks. These data contain commission errors (when a species is mistakenly thought to be present) and omission errors (when a species is mistakenly thought to be absent), and the rates of the two types of error are inversely related. Point locality data can minimize commission errors, but those obtained from museum collections are generally sparse, suffer from substantial spatial bias and contain large omission errors. Geographic ranges generate large commission errors because they assume homogenous species distributions. Predicted distribution data make explicit inferences on species occurrence and their commission and omission errors depend on model structure, on the omission of variables that determine species distribution and on data resolution. Omission errors lead to identifying networks of areas for conservation action that are smaller than required and centred on known species occurrences, thus affecting the comprehensiveness, representativeness and efficiency of selected areas. Commission errors lead to selecting areas not relevant to conservation, thus affecting the representativeness and adequacy of reserve networks. Conservation plans should include an estimation of commission and omission errors in underlying species data and explicitly use this information to influence conservation planning outcomes.read more
Citations
More filters
Journal ArticleDOI
The biodiversity of species and their rates of extinction, distribution, and protection
Stuart L. Pimm,Clinton N. Jenkins,Robin Abell,Thomas M. Brooks,John L. Gittleman,Lucas Joppa,Peter H. Raven,Callum M. Roberts,Joseph O. Sexton +8 more
TL;DR: The biodiversity of eukaryote species and their extinction rates, distributions, and protection is reviewed, and what the future rates of species extinction will be, how well protected areas will slow extinction Rates, and how the remaining gaps in knowledge might be filled are reviewed.
Journal ArticleDOI
Predicting species distributions for conservation decisions
Antoine Guisan,Reid Tingley,John B. Baumgartner,Ilona Naujokaitis-Lewis,Patricia Sutcliffe,Ayesha I. T. Tulloch,Tracey J. Regan,Lluís Brotons,Eve McDonald-Madden,Eve McDonald-Madden,Chrystal Mantyka-Pringle,Chrystal Mantyka-Pringle,Tara G. Martin,Tara G. Martin,Jonathan R. Rhodes,Ramona Maggini,Samantha A. Setterfield,Jane Elith,Mark W. Schwartz,Brendan A. Wintle,Olivier Broennimann,Mike P. Austin,Simon Ferrier,Michael R. Kearney,Hugh P. Possingham,Hugh P. Possingham,Yvonne M. Buckley,Yvonne M. Buckley +27 more
TL;DR: It is proposed that species distribution modellers should get involved in real decision-making processes that will benefit from their technical input and have the potential to better bridge theory and practice, and contribute to improve both scientific knowledge and conservation outcomes.
Journal ArticleDOI
The importance of correcting for sampling bias in MaxEnt species distribution models
Stephanie Kramer-Schadt,Jürgen Niedballa,John D. Pilgrim,Boris Schröder,Boris Schröder,Jana Lindenborn,Vanessa Reinfelder,Milena Stillfried,Ilja Heckmann,Anne K. Scharf,Dave M. Augeri,Susan M. Cheyne,Andrew J. Hearn,Joanna Ross,David W. Macdonald,John Mathai,James A. Eaton,Andrew J. Marshall,Gono Semiadi,Rustam Rustam,Henry Bernard,Raymond Alfred,Hiromitsu Samejima,J. W. Duckworth,Christine Breitenmoser-Wuersten,Jerrold L. Belant,Heribert Hofer,Andreas Wilting +27 more
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.
Journal ArticleDOI
Threshold criteria for conversion of probability of species presence to either–or presence–absence
TL;DR: Four threshold criteria are compared for a wide range of sample sizes and prevalences, modeling a virtual species in order to avoid the omnipresent error sources that the use of real species data implies.
Journal ArticleDOI
Global patterns of terrestrial vertebrate diversity and conservation.
TL;DR: A snapshot of how well the planet’s protected area system encompasses vertebrate biodiversity is provided, with substantial differences between the identified vertebrate priorities and the leading map of global conservation priorities, the biodiversity hotspots.
References
More filters
Journal ArticleDOI
Novel methods improve prediction of species' distributions from occurrence data
Jane Elith,Catherine H. Graham,Robert P. Anderson,Miroslav Dudík,Simon Ferrier,Antoine Guisan,Robert J. Hijmans,Falk Huettmann,John R. Leathwick,Anthony Lehmann,Jin Li,Lúcia G. Lohmann,Bette A. Loiselle,Glenn Manion,Craig Moritz,Miguel Nakamura,Yoshinori Nakazawa,Jacob C. M. Mc Overton,A. Townsend Peterson,Steven J. Phillips,Karen Richardson,Ricardo Scachetti-Pereira,Robert E. Schapire,Jorge Soberón,Stephen E. Williams,Mary S. Wisz,Niklaus E. Zimmermann +26 more
TL;DR: This work compared 16 modelling methods over 226 species from 6 regions of the world, creating the most comprehensive set of model comparisons to date and found that presence-only data were effective for modelling species' distributions for many species and regions.
Journal ArticleDOI
Predictive habitat distribution models in ecology
TL;DR: A review of predictive habitat distribution modeling is presented, which shows that a wide array of models has been developed to cover aspects as diverse as biogeography, conservation biology, climate change research, and habitat or species management.
Journal ArticleDOI
A review of methods for the assessment of prediction errors in conservation presence/absence models
Alan H. Fielding,John Bell +1 more
TL;DR: Thirteen recommendations are made to enable the objective selection of an error assessment technique for ecological presence/absence models and a new approach to estimating prediction error, which is based on the spatial characteristics of the errors, is proposed.
Book
Systematic Conservation Planning
C. R. Margules,Robert L. Pressey +1 more
TL;DR: A more systematic approach to locating and designing reserves has been evolving and this approach will need to be implemented if a large proportion of today's biodiversity is to exist in a future of increasing numbers of people and their demands on natural resources.
Journal ArticleDOI
Estimating site occupancy rates when detection probabilities are less than one
Darryl I. MacKenzie,James D. Nichols,Gideon B. Lachman,Sam Droege,J. Andrew Royle,Catherine A. Langtimm +5 more
TL;DR: In this paper, a model and likelihood-based method for estimating site occupancy rates when detection probabilities are 0.3 was proposed for American toads (Bufo americanus) and spring peepers (Pseudacris crucifer).
Related Papers (5)
Novel methods improve prediction of species' distributions from occurrence data
Jane Elith,Catherine H. Graham,Robert P. Anderson,Miroslav Dudík,Simon Ferrier,Antoine Guisan,Robert J. Hijmans,Falk Huettmann,John R. Leathwick,Anthony Lehmann,Jin Li,Lúcia G. Lohmann,Bette A. Loiselle,Glenn Manion,Craig Moritz,Miguel Nakamura,Yoshinori Nakazawa,Jacob C. M. Mc Overton,A. Townsend Peterson,Steven J. Phillips,Karen Richardson,Ricardo Scachetti-Pereira,Robert E. Schapire,Jorge Soberón,Stephen E. Williams,Mary S. Wisz,Niklaus E. Zimmermann +26 more