Displaying 1 - 10 of 14
Operations
Alvarado, Swanni T.; Andela, Niels; Silva, Thiago S. F.; Archibald, Sally. 2020. Thresholds of fire response to moisture and fuel load differ between tropical savannas and grasslands across continents. [Global Ecology and Biogeography] . 29(2): 331-344 DOI: https://doi.org/10.1111/geb.13034
Uses Remote Sensing: yes
SEDAC Data Collection(s):
(Journal Article)
export
Feng, Gang; Zhang, Jian; Girardello, Marco; Pellissier, Vincent; Svenning, Jens-Christian. 2020. Forest canopy height co-determines taxonomic and functional richness, but not functional dispersion of mammals and birds globally. [Global Ecology and Biogeography] . 29(8): 1350-1359 DOI: https://doi.org/10.1111/geb.13110
Uses Remote Sensing: yes
SEDAC Data Collection(s):
(Journal Article)
export
Galván, Luis; Magaña, Víctor. 2020. Forest fires in Mexico: an approach to estimate fire probabilities. [International Journal of Wildland Fire] . 29(9): 753-763 DOI: https://doi.org/10.1071/WF19057
Uses Remote Sensing: yes
SEDAC Data Collection(s):
(Journal Article)
export
Kumar, Amit; Kumar, Anish; Adhikari, Dibyendu; Gudasalamani, Ravikanth; Saikia, Purabi; Khan, Mohammed Latif. 2020. Ecological niche modeling for assessing potential distribution of Pterocarpus marsupium Roxb. In Ranchi, eastern India. [Ecological Research] . 35(6): 1095-1105 DOI: https://doi.org/10.1111/1440-1703.12176
Uses Remote Sensing: yes
SEDAC Data Collection(s):
(Journal Article)
export
Lamb, Clayton T.; Ford, Adam T.; McLellan, Bruce N.; Proctor, Michael F.; Mowat, Garth; Ciarniello, Lana; Nielsen, Scott E.; Boutin, Stan. 2020. The ecology of human–carnivore coexistence. [Proceedings of the National Academy of Sciences] . 117(30): 17876-17883 DOI: https://doi.org/10.1073/pnas.1922097117
Uses Remote Sensing: yes
SEDAC Data Collection(s):
(Journal Article)
export
Pandey, Bikram; Khatiwada, Janak R.; Zhang, Lin; Pan, Kaiwen; Dakhil, Mohammed A.; Xiong, Qinli; Yadav, Ram Kailash P.; Siwakoti, Mohan; Tariq, Akash; Olatunji, Olusanya Abiodun; Justine, Meta Francis; Wu, Xiaogang; Sun, Xiaoming; Liao, Ziyan; Negesse, Zebene Tadesse. 2020. Energy–water and seasonal variations in climate underlie the spatial distribution patterns of gymnosperm species richness in China. [Ecology and Evolution] . 10(17): 9474-9485 DOI: https://doi.org/10.1002/ece3.6639
Uses Remote Sensing: yes
SEDAC Data Collection(s):
(Journal Article)
export
Wen, Zhixin; Cai, Tianlong; Feijó, Anderson; Xia, Lin; Cheng, Jilong; Ge, Deyan; Yang, Qisen. 2020. Using completeness and defaunation indices to understand nature reserve’s key attributes in preserving medium- and large-bodied mammals. [Biological Conservation] . 241: 108273 DOI: https://doi.org/10.1016/j.biocon.2019.108273
Uses Remote Sensing: yes
SEDAC Data Collection(s):
(Journal Article)
export
Xiong, Qinli; Luo, Xiaojin; Liang, Pinghan; Xiao, Yang; Xiao, Qiang; Sun, Hui; Pan, Kaiwen; Wang, Lixia; Li, Lingjuan; Pang, Xueyong. 2020. Fire from policy, human interventions, or biophysical factors? Temporal–spatial patterns of forest fire in southwestern China. [Forest Ecology and Management] . 474: 118381 DOI: https://doi.org/10.1016/j.foreco.2020.118381
Uses Remote Sensing: yes
SEDAC Data Collection(s):
(Journal Article)
export
You, Guangyong; Arain, M. Altaf; Wang, Shusen; McKenzie, Shawn; Xu, Bing; He, Yaqian; Wu, Dan; Lin, Naifeng; Gao, Jixi; Jia, Xiru. 2020. Inter-annual climate variability and vegetation dynamic in the Upper Amur (Heilongjiang) river basin in northeast Asia. [Environmental Research Communications] . 2(6): 061003 DOI: https://doi.org/10.1088/2515-7620/ab9525
Uses Remote Sensing: yes
SEDAC Data Collection(s):
(Journal Article)
export
de Beurs, Kirsten M.; Henebry, Geoffrey M.; Owsley, Braden C.; Sokolik, Irina. 2015. Using multiple remote sensing perspectives to identify and attribute land surface dynamics in Central Asia 2001–2013. [Remote Sensing of Environment] . 170: 48-61 DOI: https://doi.org/10.1016/j.rse.2015.08.018
Uses Remote Sensing: yes
SEDAC Data Collection(s):
(Journal Article)
export

Pages

Export results as CSVXML