A novel method combining species distribution models, remote sensing, and field surveys for detecting and mapping subtidal seagrass meadows

2020 ◽  
Vol 30 (6) ◽  
pp. 1098-1110 ◽  
Author(s):  
Pedro Beca‐Carretero ◽  
Sara Varela ◽  
Dagmar B. Stengel
Keyword(s):  
Remote Sensing ◽  
Species Distribution ◽  
Species Distribution Models ◽  
Distribution Models ◽  
Field Surveys ◽  
Seagrass Meadows ◽  
Novel Method

Predicting the range of a regionally threatened, benthic fish using species distribution models and field surveys

2018 ◽  
Vol 93 (5) ◽  
pp. 972-977 ◽  
Author(s):  
Joshua L. Sherwood ◽  
Andrew J. Stites ◽  
Michael J. Dreslik ◽  
Jeremy S. Tiemann
Keyword(s):  
Species Distribution ◽  
Species Distribution Models ◽  
Benthic Fish ◽  
Distribution Models ◽  
Field Surveys

scholarly journals Monitoring biodiversity in the Anthropocene using remote sensing in species distribution models

2020 ◽  
Vol 239 ◽  
pp. 111626 ◽  
Author(s):  
Christophe F. Randin ◽  
Michael B. Ashcroft ◽  
Janine Bolliger ◽  
Jeannine Cavender-Bares ◽  
Nicholas C. Coops ◽  
...  
Keyword(s):  
Remote Sensing ◽  
Species Distribution ◽  
Species Distribution Models ◽  
Distribution Models

scholarly journals Comparing temperature data sources for use in species distribution models: From in‐situ logging to remote sensing

2019 ◽  
Vol 28 (11) ◽  
pp. 1578-1596 ◽  
Author(s):  
Jonas J. Lembrechts ◽  
Jonathan Lenoir ◽  
Nina Roth ◽  
Tarek Hattab ◽  
Ann Milbau ◽  
...  
Keyword(s):  
Remote Sensing ◽  
Species Distribution ◽  
Species Distribution Models ◽  
Temperature Data ◽  
Data Sources ◽  
Distribution Models

Remote sensing data can improve predictions of species richness by stacked species distribution models: a case study for Mexican pines

2013 ◽  
Vol 41 (4) ◽  
pp. 736-748 ◽  
Author(s):  
Anna F. Cord ◽  
Doris Klein ◽  
David S. Gernandt ◽  
Jorge A. Pérez de la Rosa ◽  
Stefan Dech
Keyword(s):  
Remote Sensing ◽  
Species Richness ◽  
Species Distribution ◽  
Species Distribution Models ◽  
Remote Sensing Data ◽  
Distribution Models ◽  
Sensing Data

scholarly journals Will remote sensing shape the next generation of species distribution models?

2015 ◽  
Vol 1 (1) ◽  
pp. 4-18 ◽  
Author(s):  
Kate S. He ◽  
Bethany A. Bradley ◽  
Anna F. Cord ◽  
Duccio Rocchini ◽  
Mao‐Ning Tuanmu ◽  
...  
Keyword(s):  
Remote Sensing ◽  
Species Distribution ◽  
Species Distribution Models ◽  
Next Generation ◽  
Distribution Models

Testing climate-based species distribution models with recent field surveys of pond-breeding amphibians in eastern Missouri

2011 ◽  
Vol 89 (11) ◽  
pp. 1074-1083 ◽  
Author(s):  
D.R. Trumbo ◽  
A.A. Burgett ◽  
J.H. Knouft
Keyword(s):  
Species Distribution ◽  
Species Distribution Models ◽  
Species Range ◽  
Environmental Data ◽  
Limited Attention ◽  
Distribution Models ◽  
Field Surveys ◽  
Geographic Ranges ◽  
Using Data ◽  
Study Species

Species distribution models (SDMs) have become an important tool for ecologists by providing the ability to predict the distributions of organisms based on species niche parameters and available habitat across broad geographic areas. However, investigation of the appropriate extent of environmental data needed to make accurate predictions has received limited attention. We investigate whether SDMs developed with regional climate and species locality data (i.e., within Missouri, USA) produce more accurate predictions of species occurrences than models developed with data from across an entire species range. To test the accuracy of the model predictions, field surveys were performed in 2007 and 2008 at 103 study ponds for eight amphibian study species. Models developed using data from across the entire species range did not accurately predict the occurrences of any study species. However, models developed using data only from Missouri produced accurate predictions for four study species, all of which are near the edge of their geographic ranges within the study area. These results suggest that species distribution modeling with regionally focused data may be preferable for local ecological and conservation purposes, and that climate factors may be more important for determining species distributions at the edge of their geographic ranges.

Sign in / Sign up

Export Citation Format

Share Document