Data for detailed temporal mapping of global human modification from 1990 to 2017
Data on the extent, patterns, and trends of human land use are critically important to support global and national priorities for conservation and sustainable development. To inform these issues, we created a series of detailed global datasets for 1990, 2000, 2010, 2015, and 2017 to evaluate tempora...
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ftzenodo:oai:zenodo.org:5338803 2024-09-15T17:47:46+00:00 Data for detailed temporal mapping of global human modification from 1990 to 2017 Theobald, David M. Kennedy, Christina Chen, Bin Oakleaf, James Baruch-Mordo, Sharon Kiesecker, Joe 2021-09-21 https://doi.org/10.5281/zenodo.5338803 unknown Zenodo https://doi.org/10.5194/essd-2019-252 https://doi.org/10.5281/zenodo.3963012 https://doi.org/10.5281/zenodo.5338803 oai:zenodo.org:5338803 info:eu-repo/semantics/openAccess Creative Commons Attribution 1.0 Generic https://creativecommons.org/licenses/by/1.0/legalcode land use global change human modification land cover change info:eu-repo/semantics/other 2021 ftzenodo https://doi.org/10.5281/zenodo.533880310.5194/essd-2019-25210.5281/zenodo.3963012 2024-07-25T23:22:45Z Data on the extent, patterns, and trends of human land use are critically important to support global and national priorities for conservation and sustainable development. To inform these issues, we created a series of detailed global datasets for 1990, 2000, 2010, 2015, and 2017 to evaluate temporal and spatial trends of land use modification of terrestrial lands (excluding Antarctica). Our novel datasets are detailed (0.09 km2 resolution), temporally consistent (for 1990-2015), comprehensive (11 change stressors, 14 current), robust (using an established framework and incorporating classification errors and parameter uncertainty), and strongly validated. We also provide a dataset for ~2017 with 14 stressors for an even more comprehensive dataset.Also provided is a land/water mask to support subsequent analyses. Please note that the 1990, 2000, 2010, and 2015 change datasets for v1.4 data provide important updates --analyses that used previous change datasets (i.e. v1-1.3) should be re-run using these most recent data.Datasets for v1.4 now rely on a 300 m resolution human intrusion layer, rather than the 1000 m resolution used previously.This is provided because we found a non-linear scaling in the resistance values used to calculate human intrusion, such that more detailed linear features such as roads were averaged out when upscaledfrom 300 m to 1000 m. This more detailed representation of transportation infrastructure (at 300 m) resulted in human accessibility to be greater, resulting in higher estimates of human modification tobe detected in the v1.4 results. Revisedstatistics for v1.4 show that the percent change between 1990 and 2015 was 30.3% or 1.2% annually -- about 359 km2 daily or nearly 25 ha min-1. For more details on the methods, please see:Theobald, D. M., Kennedy, C., Chen, B., Oakleaf, J., Baruch-Mordo, S., and Kiesecker, J.: Earth transformed: detailed mapping of global human modification from 1990 to 2017, Earth Syst. Sci. Data., https://doi.org/10.5194/essd-2019-252, 2020 Detailed global ... Other/Unknown Material Antarc* Antarctica Zenodo |
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land use global change human modification land cover change |
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land use global change human modification land cover change Theobald, David M. Kennedy, Christina Chen, Bin Oakleaf, James Baruch-Mordo, Sharon Kiesecker, Joe Data for detailed temporal mapping of global human modification from 1990 to 2017 |
topic_facet |
land use global change human modification land cover change |
description |
Data on the extent, patterns, and trends of human land use are critically important to support global and national priorities for conservation and sustainable development. To inform these issues, we created a series of detailed global datasets for 1990, 2000, 2010, 2015, and 2017 to evaluate temporal and spatial trends of land use modification of terrestrial lands (excluding Antarctica). Our novel datasets are detailed (0.09 km2 resolution), temporally consistent (for 1990-2015), comprehensive (11 change stressors, 14 current), robust (using an established framework and incorporating classification errors and parameter uncertainty), and strongly validated. We also provide a dataset for ~2017 with 14 stressors for an even more comprehensive dataset.Also provided is a land/water mask to support subsequent analyses. Please note that the 1990, 2000, 2010, and 2015 change datasets for v1.4 data provide important updates --analyses that used previous change datasets (i.e. v1-1.3) should be re-run using these most recent data.Datasets for v1.4 now rely on a 300 m resolution human intrusion layer, rather than the 1000 m resolution used previously.This is provided because we found a non-linear scaling in the resistance values used to calculate human intrusion, such that more detailed linear features such as roads were averaged out when upscaledfrom 300 m to 1000 m. This more detailed representation of transportation infrastructure (at 300 m) resulted in human accessibility to be greater, resulting in higher estimates of human modification tobe detected in the v1.4 results. Revisedstatistics for v1.4 show that the percent change between 1990 and 2015 was 30.3% or 1.2% annually -- about 359 km2 daily or nearly 25 ha min-1. For more details on the methods, please see:Theobald, D. M., Kennedy, C., Chen, B., Oakleaf, J., Baruch-Mordo, S., and Kiesecker, J.: Earth transformed: detailed mapping of global human modification from 1990 to 2017, Earth Syst. Sci. Data., https://doi.org/10.5194/essd-2019-252, 2020 Detailed global ... |
format |
Other/Unknown Material |
author |
Theobald, David M. Kennedy, Christina Chen, Bin Oakleaf, James Baruch-Mordo, Sharon Kiesecker, Joe |
author_facet |
Theobald, David M. Kennedy, Christina Chen, Bin Oakleaf, James Baruch-Mordo, Sharon Kiesecker, Joe |
author_sort |
Theobald, David M. |
title |
Data for detailed temporal mapping of global human modification from 1990 to 2017 |
title_short |
Data for detailed temporal mapping of global human modification from 1990 to 2017 |
title_full |
Data for detailed temporal mapping of global human modification from 1990 to 2017 |
title_fullStr |
Data for detailed temporal mapping of global human modification from 1990 to 2017 |
title_full_unstemmed |
Data for detailed temporal mapping of global human modification from 1990 to 2017 |
title_sort |
data for detailed temporal mapping of global human modification from 1990 to 2017 |
publisher |
Zenodo |
publishDate |
2021 |
url |
https://doi.org/10.5281/zenodo.5338803 |
genre |
Antarc* Antarctica |
genre_facet |
Antarc* Antarctica |
op_relation |
https://doi.org/10.5194/essd-2019-252 https://doi.org/10.5281/zenodo.3963012 https://doi.org/10.5281/zenodo.5338803 oai:zenodo.org:5338803 |
op_rights |
info:eu-repo/semantics/openAccess Creative Commons Attribution 1.0 Generic https://creativecommons.org/licenses/by/1.0/legalcode |
op_doi |
https://doi.org/10.5281/zenodo.533880310.5194/essd-2019-25210.5281/zenodo.3963012 |
_version_ |
1810497308867952640 |