Displaying 1 - 10 of 19
Operations
Ryeland, Julia; Derham, Tristan T.; Spencer, Ricky J. 2021. Past and future potential range changes in one of the last large vertebrates of the Australian continent, the emu Dromaius novaehollandiae. [Scientific Reports] . 11(1): 851 DOI: https://doi.org/10.1038/s41598-020-79551-0
SEDAC Data Collection(s):
(Journal Article)
export
Lindersson, Sara; Brandimarte, Luigia; Mård, Johanna; Di Baldassarre, Giuliano. 2020. A review of freely accessible global datasets for the study of floods, droughts and their interactions with human societies. [WIREs Water] . 7(3): e1424 DOI: https://doi.org/10.1002/wat2.1424
Uses Remote Sensing: yes
SEDAC Data Collection(s):
(Journal Article)
export
Macdonald, David W.; Chiaverini, Luca; Bothwell, Helen M.; Kaszta, Żaneta; Ash, Eric; Bolongon, Gilmoore; Can, Özgün Emre; Campos-Arceiz, Ahimsa; Channa, Phan; Clements, Gopalasamy Reuben; Hearn, Andrew J.; Hedges, Laurie; Htun, Saw; Kamler, Jan F.; Macdonald, Ewan A.; Moore, Jonathan; Naing, Hla; Onuma, Manabu; Rasphone, Akchousanh; Rayan, D. Mark; Ross, Joanna; Singh, Priya; Tan, Cedric Kai Wei; Wadey, Jamie; Yadav, Bhupendra P.; Cushman, Samuel A. 2020. Predicting biodiversity richness in rapidly changing landscapes: climate, low human pressure or protection as salvation?. [Biodiversity and Conservation] . 29: 4035-4057 DOI: https://doi.org/10.1007/s10531-020-02062-x
SEDAC Data Collection(s):
(Journal Article)
export
Noy, Ilan; Doan, Nguyen; Ferrarini, Benno; Park, Donghyun. 2020. The Economic Risk of COVID-19 in Developing Countries: Where is it Highest?. [LSE Financial Markets Group Paper Series] pp: 13
Related URL(s): http://www.lse.ac.uk/fmg/assets/documents/papers/special-papers/SP257.pdf
SEDAC Data Collection(s):
(Report)
export
Noy, Ilan; Doan, Nguyen; Ferrarini, Benno; Park, Donghyun. 2020. Measuring the economic risk of COVID-19. [Global Policy] . 11(4): 413-423 DOI: https://doi.org/10.1111/1758-5899.12851
SEDAC Data Collection(s):
(Journal Article)
export
Suwal, Madan Krishna; Huettmann, Falk. 2020. A rather short story of shared GIS data layers in the Hindu Kush-Himalayas: State of the art, justifications and urgent suggestions for a sustainable global data governance with open access and open source coming to the rescue. [Hindu Kush-Himalaya Watersheds Downhill: Landscape Ecology and Conservation Perspectives] Ed(s): Regmi, Ganga Ram; Huettmann, Falk. pp: 521-563 DOI: https://doi.org/10.1007/978-3-030-36275-1_26
SEDAC Data Collection(s):
gpw-v4
groads
ndh
(Book Section)
export
Turschwell, Mischa P.; Tulloch, Vivitskaia J. D.; Sievers, Michael; Pearson, Ryan M.; Andradi-Brown, Dominic A.; Ahmadia, Gabby N.; Connolly, Rod M.; Bryan-Brown, Dale; Lopez-Marcano, Sebastian; Adame, Maria Fernanda; Brown, Christopher J. 2020. Multi-scale estimation of the effects of pressures and drivers on mangrove forest loss globally. [Biological Conservation] . 247: 108637 DOI: https://doi.org/10.1016/j.biocon.2020.108637
SEDAC Data Collection(s):
(Journal Article)
export
Ye, Bin; Saito, Takumi; Hirano, Takahiro; Dong, Zhengzhong; Do, Van Tu; Chiba, Satoshi. 2020. Human-geographic effects on variations in the population genetics of Sinotaia quadrata (Gastropoda: Viviparidae) that historically migrated from continental East Asia to Japan. [Ecology and Evolution] . 10(15): 8055-8072 DOI: https://doi.org/10.1002/ece3.6456
SEDAC Data Collection(s):
(Journal Article)
export
Bajaj, Shaurya; Geraldine Bessie Amali, D. 2019. Species environmental niche distribution modeling for Panthera Tigris Tigris ‘Royal Bengal Tiger’ using machine learning. [Emerging Research in Computing, Information, Communication and Applications] Ed(s): Shetty, N. R.; Patnaik, L. M.; Nagaraj, H. C.; Hamsavath, Prasad Naik; Nalini, N. pp: 251-263 DOI: https://doi.org/10.1007/978-981-13-5953-8_22
Uses Remote Sensing: yes
SEDAC Data Collection(s):
(Conference Proceedings)
export
Breckner, Miriam. 2019. Climatic and Geographic Determinants of Economic Development. [Economics] Sunde, Uwe. Ph.D.(ediss:23734): 155
Related URL(s): https://edoc.ub.uni-muenchen.de/23734/
Uses Remote Sensing: yes
SEDAC Data Collection(s):
gpw-v3
gpw-v4
(Thesis)
export

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