# | Title | Journal | Year | Citations |
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1 | Novel methods improve prediction of species’ distributions from occurrence data | Ecography | 2006 | 6,691 |
2 | Collinearity: a review of methods to deal with it and a simulation study evaluating their performance | Ecography | 2013 | 6,250 |
3 | Modeling of species distributions with Maxent: new extensions and a comprehensive evaluation | Ecography | 2008 | 4,903 |
4 | Methods to account for spatial autocorrelation in the analysis of species distributional data: a review | Ecography | 2007 | 2,522 |
5 | A practical guide to MaxEnt for modeling species' distributions: what it does, and why inputs and settings matter | Ecography | 2013 | 2,361 |
6 | Selecting thresholds of occurrence in the prediction of species distributions | Ecography | 2005 | 2,057 |
7 | The effect of sample size and species characteristics on performance of different species distribution modeling methods | Ecography | 2006 | 1,850 |
8 | BIOMOD – a platform for ensemble forecasting of species distributions | Ecography | 2009 | 1,796 |
9 | Opening the black box: an open‐source release of Maxent | Ecography | 2017 | 1,547 |
10 | ENMTools: a toolbox for comparative studies of environmental niche models | Ecography | 2010 | 1,309 |
11 | spThin: an R package for spatial thinning of species occurrence records for use in ecological niche models | Ecography | 2015 | 1,177 |
12 | Cross‐validation strategies for data with temporal, spatial, hierarchical, or phylogenetic structure | Ecography | 2017 | 1,092 |
13 | The elevational gradient of species richness: a uniform pattern? | Ecography | 1995 | 1,082 |
14 | Where is positional uncertainty a problem for species distribution modelling? | Ecography | 2014 | 1,055 |
15 | SAM: a comprehensive application for Spatial Analysis in Macroecology | Ecography | 2010 | 1,025 |
16 | Do they? How do they? WHY do they differ? On finding reasons for differing performances of species distribution models | Ecography | 2009 | 844 |
17 | The distance decay of similarity in ecological communities | Ecography | 2007 | 829 |
18 | A diversity of beta diversities: straightening up a concept gone awry. Part 1. Defining beta diversity as a function of alpha and gamma diversity | Ecography | 2010 | 805 |
19 | Climate‐related range shifts – a global multidimensional synthesis and new research directions | Ecography | 2015 | 733 |
20 | Transferability and model evaluation in ecological niche modeling: a comparison of GARP and Maxent | Ecography | 2007 | 722 |
21 | ecospat: an R package to support spatial analyses and modeling of species niches and distributions | Ecography | 2017 | 703 |
22 | Dispersal and the metapopulation paradigm in amphibian ecology and conservation: are all amphibian populations metapopulations? | Ecography | 2005 | 702 |
23 | V.PhyloMaker: an R package that can generate very large phylogenies for vascular plants | Ecography | 2019 | 666 |
24 | Presence-absence versus presence-only modelling methods for predicting bird habitat suitability | Ecography | 2004 | 665 |
25 | The concepts of bias, precision and accuracy, and their use in testing the performance of species richness estimators, with a literature review of estimator performance | Ecography | 2005 | 628 |
26 | U‐CARE: Utilities for performing goodness of fit tests and manipulating CApture–REcapture data | Ecography | 2009 | 624 |
27 | sdm: a reproducible and extensible R platform for species distribution modelling | Ecography | 2016 | 579 |
28 | The consequences of spatial structure for the design and analysis of ecological field surveys | Ecography | 2002 | 575 |
29 | A balanced view of scale in spatial statistical analysis | Ecography | 2002 | 564 |
30 | Habitat fragmentation and large-scale conservation: what do we know for sure? | Ecography | 1999 | 560 |
31 | landscapemetrics: an open‐source R tool to calculate landscape metrics | Ecography | 2019 | 530 |
32 | Equilibrium of species’ distributions with climate | Ecography | 2005 | 524 |
33 | treeclim: an R package for the numerical calibration of proxy‐climate relationships | Ecography | 2015 | 520 |
34 | Minimum required number of specimen records to develop accurate species distribution models | Ecography | 2016 | 498 |
35 | Density-dependent dispersal in birds and mammals | Ecography | 2005 | 497 |
36 | Partitioning and mapping uncertainties in ensembles of forecasts of species turnover under climate change | Ecography | 2009 | 494 |
37 | Modelling species distributions in Britain: a hierarchical integration of climate and land-cover data | Ecography | 2004 | 491 |
38 | The uncertain nature of absences and their importance in species distribution modelling | Ecography | 2010 | 490 |
39 | Effects of restricting environmental range of data to project current and future species distributions | Ecography | 2004 | 479 |
40 | What do we gain from simplicity versus complexity in species distribution models? | Ecography | 2014 | 438 |
41 | Post-fire recovery of ant communities in Submediterranean Pinus nigra forests | Ecography | 2006 | 426 |
42 | A null‐model for significance testing of presence‐only species distribution models | Ecography | 2007 | 403 |
43 | A standard protocol for reporting species distribution models | Ecography | 2020 | 397 |
44 | ENVIREM: an expanded set of bioclimatic and topographic variables increases flexibility and improves performance of ecological niche modeling | Ecography | 2018 | 393 |
45 | The patterns and causes of elevational diversity gradients | Ecography | 2012 | 363 |
46 | Estimating space‐use and habitat preference from wildlife telemetry data | Ecography | 2008 | 357 |
47 | Illustrations and guidelines for selecting statistical methods for quantifying spatial pattern in ecological data | Ecography | 2002 | 355 |
48 | Red‐shifts and red herrings in geographical ecology | Ecography | 2000 | 350 |
49 | Invasions | Ecography | 1999 | 349 |
50 | Quaternary climate changes explain diversity among reptiles and amphibians | Ecography | 2008 | 345 |