| scholarly article | Q13442814 |
| P356 | DOI | 10.1177/0309133309355630 |
| P50 | author | Tim Newbold | Q31043083 |
| P2860 | cites work | Climate change, humans, and the extinction of the woolly mammoth | Q21092745 |
| Systematic conservation planning | Q22122397 | ||
| Habitat selection models for European wildcat conservation | Q57005761 | ||
| Predicting future distributions of mountain plants under climate change: does dispersal capacity matter? | Q57014128 | ||
| The influence of spatial errors in species occurrence data used in distribution models | Q57014154 | ||
| Five (or so) challenges for species distribution modelling | Q57014216 | ||
| Making better biogeographical predictions of species' distributions | Q57014222 | ||
| Novel methods improve prediction of species’ distributions from occurrence data | Q57014231 | ||
| Predicting reptile distributions at the mesoscale: relation to climate and topography | Q57014254 | ||
| Which is the optimal sampling strategy for habitat suitability modelling | Q57014269 | ||
| Avoiding Pitfalls of Using Species Distribution Models in Conservation Planning | Q57016500 | ||
| Predicting range expansion of the map butterfly in Northern Europe using bioclimatic models | Q57021272 | ||
| The importance of biotic interactions for modelling species distributions under climate change | Q57021322 | ||
| Consequences of spatial autocorrelation for niche-based models | Q57021341 | ||
| Reducing uncertainty in projections of extinction risk from climate change | Q57021396 | ||
| Validation of species-climate impact models under climate change | Q57021401 | ||
| Evaluation of statistical models used for predicting plant species distributions: Role of artificial data and theory | Q57025967 | ||
| Dynamic distribution modelling: predicting the present from the past | Q57030611 | ||
| Assessing effects of forecasted climate change on the diversity and distribution of European higher plants for 2050 | Q57041786 | ||
| The impact of global climate change on tropical forest biodiversity in Amazonia | Q57046502 | ||
| Endemic vertebrates are the most effective surrogates for identifying conservation priorities among Brazilian ecoregions | Q57065145 | ||
| Modelling ecological niches from low numbers of occurrences: assessment of the conservation status of poorly known viverrids (Mammalia, Carnivora) across two continents | Q57066543 | ||
| Phylogenetic perspective on ecological niche evolution in american blackbirds (Family Icteridae) | Q57197601 | ||
| Effects of global climate change on geographic distributions of Mexican Cracidae | Q57197614 | ||
| The use of specimen-label databases for conservation purposes: an example using Mexican Papilionid and Pierid butterflies | Q57197615 | ||
| Bioclimate envelope models: what they detect and what they hide - response to Hampe (2004) | Q57198248 | ||
| Predicting the impacts of climate change on the distribution of species: are bioclimate envelope models useful? | Q57198258 | ||
| Historical bias in biodiversity inventories affects the observed environmental niche of the species | Q57205123 | ||
| Using distribution models to test alternative hypotheses about a species’ environmental limits and recovery prospects | Q57251302 | ||
| Accounting for spatial pattern when modeling organism-environment interactions | Q57257763 | ||
| Spatial Autocorrelation: Trouble or New Paradigm? | Q57257766 | ||
| Niche differentiation in Mexican birds: using point occurrences to detect ecological innovation | Q58006394 | ||
| Geographical distributions of spiny pocket mice in South America: insights from predictive models | Q58006421 | ||
| Using niche-based GIS modeling to test geographic predictions of competitive exclusion and competitive release in South American pocket mice | Q58006432 | ||
| The need for continued scientific collecting; a geographic analysis of Mexican bird specimens | Q58006467 | ||
| Modeling potential future individual tree-species distributions in the eastern United States under a climate change scenario: a case study with Pinus virginiana | Q58316735 | ||
| Bias in freshwater biodiversity sampling: the case of Iberian water beetles | Q58476496 | ||
| Botanical richness and endemicity patterns of Borneo derived from species distribution models | Q58510284 | ||
| Biodiversity surrogate groups and conservation priority areas: birds of the Brazilian Cerrado | Q60148013 | ||
| Bias in Butterfly Distribution Maps: The Effects of Sampling Effort | Q60483364 | ||
| Threatened Status, Rarity, and Diversity as Alternative Selection Measures for Protected Areas: A Test Using Afrotropical Antelopes | Q63387596 | ||
| Modelling landscape-scale habitat use using GIS and remote sensing: a case study with great bustards | Q105952653 | ||
| HABITAT DISTRIBUTION MODELS: ARE MUTUALIST DISTRIBUTIONS GOOD PREDICTORS OF THEIR ASSOCIATES? | Q111263103 | ||
| ??? | Q104207017 | ||
| Conservatism of ecological niches in evolutionary time | Q29616176 | ||
| Range shifts and adaptive responses to Quaternary climate change | Q29618611 | ||
| Very high resolution interpolated climate surfaces for global land areas | Q29642135 | ||
| Climate change. Uncertainty and climate change assessments | Q30656775 | ||
| Future projections for Mexican faunas under global climate change scenarios. | Q30687228 | ||
| Data requirements and data sources for biodiversity priority area selection | Q30713139 | ||
| Predicting distributions of known and unknown reptile species in Madagascar | Q31033586 | ||
| Evolutionary responses to climate change | Q31130219 | ||
| Adaptive phenotypic plasticity in response to climate change in a wild bird population | Q31155027 | ||
| Making mistakes when predicting shifts in species range in response to global warming. | Q32106908 | ||
| New developments in museum-based informatics and applications in biodiversity analysis | Q33243456 | ||
| Conserving biodiversity efficiently: what to do, where, and when | Q33294902 | ||
| Assessing the accuracy of species distribution models to predict amphibian species richness patterns | Q33366844 | ||
| Climate change can cause spatial mismatch of trophically interacting species | Q33399213 | ||
| An indicator of the impact of climatic change on European bird populations | Q33414646 | ||
| Sample selection bias and presence-only distribution models: implications for background and pseudo-absence data | Q33422416 | ||
| Projected impacts of climate change on a continent-wide protected area network | Q33432265 | ||
| Performance of climate envelope models in retrodicting recent changes in bird population size from observed climatic change. | Q37028774 | ||
| Separating the influences of environment and species interactions on patterns of distribution and abundance: competition between large herbivores | Q39400149 | ||
| Species response to environmental change: impacts of food web interactions and evolution | Q44591986 | ||
| Species richness, environmental correlates, and spatial scale: a test using South African birds. | Q46784639 | ||
| Climate, niche evolution, and diversification of the "bird-cage" evening primroses (Oenothera, sections Anogra and Kleinia). | Q46792966 | ||
| Disparities between observed and predicted impacts of climate change on winter bird assemblages. | Q51133230 | ||
| Evidence of climatic niche shift during biological invasion. | Q51185506 | ||
| Commentary on Losos (2008): niche conservatism déjà vu. | Q51678597 | ||
| Keeping up with a warming world; assessing the rate of adaptation to climate change. | Q51695548 | ||
| Using niche-based models to improve the sampling of rare species. | Q51722799 | ||
| Ecological niche differentiation in the Aphelocoma jays: a phylogenetic perspective | Q54002533 | ||
| The Niche-Relationships of the California Thrasher | Q55922851 | ||
| The Human Footprint and the Last of the Wild | Q56004408 | ||
| Fauna habitat modelling and mapping: A review and case study in the Lower Hunter Central Coast region of NSW | Q56115208 | ||
| Ecological niche modelling as a technique for assessing threats and setting conservation priorities for Asian slow lorises (Primates:Nycticebus) | Q56484146 | ||
| Predicting Species Invasions Using Ecological Niche Modeling: New Approaches from Bioinformatics Attack a Pressing Problem | Q56594944 | ||
| EVOLUTIONARY RESPONSES TO CHANGING CLIMATE | Q56675867 | ||
| Predicting species distribution: offering more than simple habitat models | Q56785411 | ||
| COMPETITIVE INTERACTIONS BETWEEN TREE SPECIES IN NEW ZEALAND'S OLD-GROWTH INDIGENOUS FORESTS | Q56805323 | ||
| Methods to account for spatial autocorrelation in the analysis of species distributional data: a review | Q56817176 | ||
| The dynamics of climate-induced range shifting; perspectives from simulation modelling | Q56827867 | ||
| Climate-based models of spatial patterns of species richness in Egypt’s butterfly and mammal fauna | Q56886432 | ||
| Identifying declining and threatened species with museum data | Q56929931 | ||
| P433 | issue | 1 | |
| P921 | main subject | attention | Q6501338 |
| species distribution | Q250388 | ||
| museum | Q33506 | ||
| ecological modeling | Q114110264 | ||
| species distribution modelling | Q117051118 | ||
| species distribution model | Q122175981 | ||
| P6104 | maintained by WikiProject | WikiProject Ecology | Q10818384 |
| P304 | page(s) | 3-22 | |
| P577 | publication date | 2010-01-22 | |
| P1433 | published in | Progress in Physical Geography | Q7248589 |
| P1476 | title | Applications and limitations of museum data for conservation and ecology, with particular attention to species distribution models | |
| P478 | volume | 34 |
| Q30840927 | A framework for using niche models to estimate impacts of climate change on species distributions |
| Q56427508 | A functional group analysis of change in the abundance and distribution of 207 plant species across 115 years in north-central North America |
| Q57004125 | A global model of the response of tropical and sub-tropical forest biodiversity to anthropogenic pressures |
| Q57013909 | A new spin on a compositionalist predictive modelling framework for conservation planning: A tropical case study in Ecuador |
| Q91203882 | A specialised pollination system using nectar-seeking thynnine wasps in Caladenia nobilis (Orchidaceae) |
| Q57062660 | A statistical explanation of MaxEnt for ecologists |
| Q37950009 | A warrant for applied palaeozoology |
| Q56332335 | Accounting for sampling patterns reverses the relative importance of trade and climate for the global sharing of exotic plants |
| Q58040308 | Amazonian species within the Cerrado savanna: new records and potential distribution for Aglae caerulea (Apidae: Euglossini) |
| Q91075482 | Anthropocene refugia: integrating history and predictive modelling to assess the space available for biodiversity in a human-dominated world |
| Q60342699 | Applying species distribution models to caves and other subterranean habitats |
| Q30756972 | Archaeobotanical evidence for climate as a driver of ecological community change across the anthropocene boundary |
| Q30000343 | Are we filling the data void? An assessment of the amount and extent of plant collection records and census data available for tropical South America |
| Q60472442 | Assessing the distribution and conservation status of a long-horned beetle with species distribution models |
| Q34844470 | Backcasting the decline of a vulnerable Great Plains reproductive ecotype: identifying threats and conservation priorities |
| Q55514923 | Benthic species of the Kerguelen Plateau show contrasting distribution shifts in response to environmental changes. |
| Q95322477 | Bias in presence-only niche models related to sampling effort and species niches: Lessons for background point selection |
| Q56984239 | Biogeo: an R package for assessing and improving data quality of occurrence record datasets |
| Q56525534 | Biological collections in an ever changing world: Herbaria as tools for biogeographical and environmental studies |
| Q99711097 | Catalogue of herpetological specimens of the Ewha Womans University Natural History Museum (EWNHM), Republic of Korea |
| Q110789435 | Caught in a bottleneck: Habitat loss for woolly mammoths in central North America and the ice‐free corridor during the last deglaciation |
| Q108863700 | Caveat consumptor notitia museo : Let the museum data user beware |
| Q50289349 | Changes in the geographical distribution of plant species and climatic variables on the West Cornwall peninsula (South West UK). |
| Q56675565 | Charismatic species of the past: Biases in reporting of large mammals in historical written sources |
| Q106592891 | Citizen science data for urban planning: Comparing different sampling schemes for modelling urban bird distribution |
| Q57904407 | Climate change may drive cave spiders to extinction |
| Q46267766 | Comparing pseudo-absences generation techniques in Boosted Regression Trees models for conservation purposes: A case study on amphibians in a protected area |
| Q59794388 | Comparing species distribution models constructed with different subsets of environmental predictors |
| Q60303135 | Contemporary niche contraction affects climate change predictions for elephants and giraffes |
| Q56379861 | Contextualized niche shifts upon independent invasions by the dung beetle Onthophagus taurus |
| Q54985495 | Contrasting spatial, temporal and environmental patterns in observation and specimen based species occurrence data. |
| Q92406441 | Current and future potential distributions of three Dracaena Vand. ex L. species under two contrasting climate change scenarios in Africa |
| Q57263872 | Decomposing environmental, spatial, and spatiotemporal components of species distributions |
| Q36277069 | Delimiting priority areas for the conservation of endemic and threatened Neotropical birds using a niche-based gap analysis |
| Q105554179 | Dinard Herbarium: A Source of Information to Infer Temporal Changes in Seaweed Communities? |
| Q110789573 | Distribution models combined with standardized surveys reveal widespread habitat loss in a threatened turtle species |
| Q56922858 | Distributional modeling of Mantophasmatodea (Insecta: Notoptera): a preliminary application and the need for future sampling |
| Q61465485 | Does the interpolation accuracy of species distribution models come at the expense of transferability? |
| Q41584925 | Ecological niche differentiation of polyploidization is not supported by environmental differences among species in a cosmopolitan grass genus |
| Q63391026 | Effect of chronological addition of records to species distribution maps: The case ofTonatia saurophila maresi(Chiroptera, Phyllostomidae) in South America |
| Q59270445 | Egypt’s Protected Area network under future climate change |
| Q35155264 | Emergent global patterns of ecosystem structure and function from a mechanistic general ecosystem model. |
| Q57228667 | Endemic grasshopper species distribution in an agro-natural landscape of the Cape Floristic Region, South Africa |
| Q59593947 | Environmental filters reduce the effects of sampling bias and improve predictions of ecological niche models |
| Q106196285 | Evaluation metrics and validation of presence-only species distribution models based on distributional maps with varying coverage |
| Q57179451 | Exposing hidden endemism in a Neotropical forest raptor using citizen science |
| Q93220969 | Facets of phylodiversity: evolutionary diversification, divergence and survival as conservation targets |
| Q56755186 | Finessing atlas data for species distribution models |
| Q53116444 | Four barriers to the global understanding of biodiversity conservation: wealth, language, geographical location and security. |
| Q73170883 | Fungarium specimens: a largely untapped source in global change biology and beyond |
| Q58322041 | Geospatial analysis of species, biodiversity and landscapes: introduction to the second special issue on spatial ecology |
| Q34165418 | Harnessing the world's biodiversity data: promise and peril in ecological niche modeling of species distributions |
| Q35986873 | How to describe species richness patterns for bryophyte conservation? |
| Q60541175 | Implications and alternatives of assigning climate data to geographical centroids |
| Q56886429 | Improved species-occurrence predictions in data-poor regions: using large-scale data and bias correction with down-weighted Poisson regression and Maxent |
| Q112030207 | Informing conservation strategies with museum genomics: Long‐term effects of past anthropogenic persecution on the elusive European wildcat |
| Q28607099 | Inselect: Automating the Digitization of Natural History Collections |
| Q56557583 | Integrating Museum and GIS Data to Identify Changes in Species Distributions Driven by a Disturbance-Induced Invasion |
| Q111837957 | Integrating species distribution and occupancy modeling to study hellbender (Cryptobranchus alleganiensis) occurrence based on eDNA surveys |
| Q111160316 | Invasive plants in Brazil: climate change effects and detection of suitable areas within conservation units |
| Q56929656 | Is my species distribution model fit for purpose? Matching data and models to applications |
| Q111162589 | Island Hopping in a Biodiversity Hotspot Archipelago: Reconstructed Invasion History and Updated Status and Distribution of Alien Frogs in the Philippines1 |
| Q110789437 | Lack of protected areas and future habitat loss threaten the Hyacinth Macaw ( Anodorhynchus hyacinthinus ) and its main food and nesting resources |
| Q57006527 | Land-use effects on local biodiversity in tropical forests vary between continents |
| Q60297042 | Legume diversity as indicator for botanical diversity on Sundaland, South East Asia |
| Q60399753 | Lichen-Forming Fungi of the GenusMontaneliain Poland and Their Potential Distribution in Central Europe |
| Q56744608 | Macroecology meets invasion ecology: linking the native distributions of Australian acacias to invasiveness |
| Q57254453 | Maxent modeling for predicting impacts of climate change on the potential distribution of Thuja sutchuenensis Franch., an extremely endangered conifer from southwestern China |
| Q110951304 | Mistaken identity: challenges with specimen identification for morphologically conservative skinks (Trachylepis) leads to taxonomic error |
| Q59514485 | Modeling of potential habitat suitability of Hippocamelus bisulcus: effectiveness of a protected areas network in Southern Patagonia |
| Q111824996 | Modelling invasive alien plant distribution: A literature review of concepts and bibliometric analysis |
| Q56530832 | Modelling invasive alien species distributions from digital biodiversity atlases. Model upscaling as a means of reconciling data at different scales |
| Q61807540 | Modelling potential habitat for snow leopards (Panthera uncia) in Ladakh, India |
| Q101630838 | Modelling terrestrial reptile species richness, distributions and habitat suitability in Saudi Arabia |
| Q54521860 | Muscidae (Diptera) diversity in Churchill, Canada, between two time periods: evidence for limited changes since the Canadian Northern Insect Survey |
| Q36359446 | Museum specimen data reveal emergence of a plant disease may be linked to increases in the insect vector population |
| Q60472450 | Nesting biology and potential distribution of an oil-collecting Centridine Bee from South America |
| Q89882235 | New perspectives on analysing data from biological collections based on social network analytics |
| Q56435602 | Niche dynamics in the European ranges of two African carnivores reflect their dispersal and demographic histories |
| Q59807726 | Not to Put Too Fine a Point on It — Does Increasing Precision of Geographic Referencing Improve Species Distribution Models for a Wide-Ranging Migratory Bat? |
| Q33658074 | Oak forest exploitation and black-locust invasion caused severe shifts in epiphytic lichen communities in Northern Italy |
| Q111161040 | Observations of extended lag phase of nonnative invasive Frangula alnus (Rhamnaceae) may be spatial-scale dependent1 |
| Q108863685 | On open access, data mining and plant conservation in the Circumpolar North with an online data example of the Herbarium, University of Alaska Museum of the North |
| Q30660918 | Pathogen-host associations and predicted range shifts of human monkeypox in response to climate change in central Africa |
| Q57209697 | Performance tradeoffs in target-group bias correction for species distribution models |
| Q60558509 | Physiology-based modelling approaches to characterize fish habitat suitability: Their usefulness and limitations |
| Q33809860 | Population viability analysis with species occurrence data from museum collections |
| Q57174012 | Potential Effects of Future Climate Changes on Brazilian Cool-Adapted Stoneflies (Insecta: Plecoptera) |
| Q101402436 | Potential biodiversity map of lizard species in Southern Patagonia: environmental characterization, desertification influence and analyses of protection areas |
| Q73172218 | Predicting distributions, habitat preferences and associated conservation implications for a genus of rare fishes, seahorses (Hippocampusspp.) |
| Q110789599 | Predicting loss and fragmentation of habitat of the vulnerable subtropical rainforest tree Macadamia integrifolia with models developed from compiled ecological data |
| Q54725763 | Predicting the Geographic Distribution ofLucilia sericataandLucilia cuprina(Diptera: Calliphoridae) in South Africa |
| Q58796273 | Predicting the distribution of poorly-documented species, Northern black widow (Latrodectus variolus) and Black purse-web spider (Sphodros niger), using museum specimens and citizen science data |
| Q110790306 | Predicting the distribution range of a recently described, habitat specialist bee |
| Q56552808 | Predicting the impact of climate change on the invasive decapods of the Iberian inland waters: an assessment of reliability |
| Q36335717 | Prioritising surveillance for alien organisms transported as stowaways on ships travelling to South Africa |
| Q28595568 | Projected changes in climatic suitability for Kinosternon turtles by 2050 and 2070 |
| Q59198809 | Protecting bias: Across time and ecology, open-source bat locality data are heavily biased by distance to protected area |
| Q57030876 | Pushing the limits in marine species distribution modelling: lessons from the land present challenges and opportunities |
| Q110531716 | Quantifying regional biodiversity in the tropics: A case study of freshwater fish in Trinidad and Tobago |
| Q58040268 | Range increase of a Neotropical orchid bee under future scenarios of climate change |
| Q58490979 | Rapid poleward distributional shifts in the European cave-dwelling Meta spiders under the influence of competition dynamics |
| Q34511048 | Reconsidering the specialist-generalist paradigm in niche breadth dynamics: resource gradient selection by Canada lynx and bobcat |
| Q111155034 | Reconstruction of the historical distribution ranges of imperilled stream fishes from a global endemic hotspot based on molecular data: Implications for conservation of threatened taxa |
| Q54520939 | Red List assessments of East African chameleons: a case study of why we need experts |
| Q67213247 | Remote Sensing of Kelp (Laminariales, Ochrophyta): Monitoring Tools and Implications for Wild Harvesting |
| Q116855867 | Sampling bias in reptile occurrence data for the Kruger National Park |
| Q91075496 | Shifted distribution baselines: neglecting long-term biodiversity records risks overlooking potentially suitable habitat for conservation management |
| Q92647049 | Spatial and taxonomic biases in bat records: Drivers and conservation implications in a megadiverse country |
| Q60507561 | Species Distribution Modeling: Comparison of Fixed and Mixed Effects Models Using INLA |
| Q112669802 | Species data for understanding biodiversity dynamics: The what, where and when of species occurrence data collection |
| Q57912999 | Species distribution models backing taxa delimitation: the case of the lichen Squamarina cartilaginea in Italy |
| Q99938021 | Species distribution models for a migratory bird based on citizen science and satellite tracking data |
| Q114569510 | State of biodiversity documentation in the Philippines: Metadata gaps, taxonomic biases, and spatial biases in the DNA barcode data of animal and plant taxa in the context of species occurrence data |
| Q56514761 | Taxonomic identification errors generate misleading ecological niche model predictions of an invasive hawkweed |
| Q52585982 | The Distribution and Habitat Affinities of the Invasive Ant Myrmica rubra (Hymenoptera: Formicidae) in Southern New England. |
| Q108863637 | The badger (Meles sp.) in museum collections of Ukraine: analysis of label data using GIS |
| Q35358793 | The distributional ecology of the maned sloth: environmental influences on its distribution and gaps in knowledge |
| Q34606307 | The effects of sampling bias and model complexity on the predictive performance of MaxEnt species distribution models |
| Q91215014 | The rapid climate change-caused dichotomy on subtropical evergreen broad-leaved forest in Yunnan: Reduction in habitat diversity and increase in species diversity |
| Q57026618 | The relevance of Italian museum collections for research and conservation: the case of mammals |
| Q111155341 | The unrealized potential of herbaria for global change biology |
| Q58117067 | Trailing edges projected to move faster than leading edges for large pelagic fish habitats under climate change |
| Q111320305 | Trends and gaps in the use of citizen science derived data as input for species distribution models: A quantitative review |
| Q110531708 | Use of maximum entropy (Maxent) niche modelling to predict the occurrence of threatened freshwater species in a biodiversity hotspot of Zimbabwe |
| Q111159770 | Using biased sampling data to model the distribution of invasive shot-hole borers in California |
| Q93221034 | Using insect natural history collections to study global change impacts: challenges and opportunities |
| Q57193787 | Using measurement error models to account for georeferencing error in species distribution models |
| Q57133570 | Using species distribution modelling to disentangle realised versus potential distributions for rare species conservation |
| Q58830033 | Using species distribution models at local scale to guide the search of poorly known species: Review, methodological issues and future directions |
| Q57060277 | Using unclassified continuous remote sensing data to improve distribution models of red-listed plant species |
| Q46280430 | Using worldwide edaphic data to model plant species niches: An assessment at a continental extent. |
| Q33993614 | What spatial data do we need to develop global mammal conservation strategies? |
| Q60345888 | When the method for mapping species matters: defining priority areas for conservation of African freshwater turtles |
| Q47739464 | Why georeferencing matters: Introducing a practical protocol to prepare species occurrence records for spatial analysis. |
| Q46272453 | Widespread sampling biases in herbaria revealed from large-scale digitization |
| Q60528939 | Widespread sampling biases in herbaria revealed from large-scale digitization |
| Q50178329 | Wrong, but useful: regional species distribution models may not be improved by range‐wide data under biased sampling |
Search more.