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Chunrong Mi
Chunrong Mi
Princeton University
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Why choose Random Forest to predict rare species distribution with few samples in large undersampled areas? Three Asian crane species models provide supporting evidence
C Mi, F Huettmann, Y Guo, X Han, L Wen
PeerJ 5, e2849, 2017
2492017
Australian wheat production expected to decrease by the late 21st century
B Wang, DL Liu, GJ O'Leary, S Asseng, I Macadam, R Lines‐Kelly, ...
Global change biology 24 (6), 2403-2415, 2018
742018
Multi-model ensemble projections of future extreme heat stress on rice across southern China
L He, J Cleverly, B Wang, N Jin, C Mi, DL Liu, Q Yu
Theoretical and Applied Climatology 133, 1107-1118, 2018
572018
Spatio-temporal distribution of sugarcane potential yields and yield gaps in Southern China
Q Zu, C Mi, D Li Liu, L He, Z Kuang, Q Fang, D Ramp, L Li, B Wang, ...
European Journal of Agronomy 92, 72-83, 2018
462018
Classification and regression with random forests as a standard method for presence-only data SDMs: a future conservation example using China tree species
L Zhang, F Huettmann, S Liu, P Sun, Z Yu, X Zhang, C Mi
Ecological Informatics 52, 46-56, 2019
402019
The use of classification and regression algorithms using the random forests method with presence-only data to model species’ distribution
L Zhang, F Huettmann, X Zhang, S Liu, P Sun, Z Yu, C Mi
MethodsX 6, 2281-2292, 2019
402019
The surface-atmosphere exchange of carbon dioxide in tropical rainforests: Sensitivity to environmental drivers and flux measurement methodology
Z Fu, T Gerken, G Bromley, A Araújo, D Bonal, B Burban, D Ficklin, ...
Agricultural and Forest Meteorology 263, 292-307, 2018
392018
Global protected areas as refuges for amphibians and reptiles under climate change
C Mi, L Ma, M Yang, X Li, S Meiri, U Roll, O Oskyrko, D Pincheira-Donoso, ...
Nature Communications 14 (1), 1389, 2023
332023
Ancient demographics determine the effectiveness of genetic purging in endangered lizards
HX Xie, XX Liang, ZQ Chen, WM Li, CR Mi, M Li, ZJ Wu, XM Zhou, WG Du
Molecular biology and evolution 39 (1), msab359, 2022
332022
Possible impact of climate change on apple yield in Northwest China
M Li, J Guo, J He, C Xu, J Li, C Mi, S Tao
Theoretical and applied climatology 139, 191-203, 2020
332020
Climate envelope predictions indicate an enlarged suitable wintering distribution for Great Bustards (Otis tarda dybowskii) in China for the 21st century
C Mi, H Falk, Y Guo
PeerJ 4, e1630, 2016
312016
The effect of NDVI time series density derived from spatiotemporal fusion of multisource remote sensing data on crop classification accuracy
R Sun, S Chen, H Su, C Mi, N Jin
ISPRS International Journal of Geo-Information 8 (11), 502, 2019
302019
Conservation prioritization with machine learning predictions for the black-necked crane Grus nigricollis, a flagship species on the Tibetan Plateau for 2070
X Han, F Huettmann, Y Guo, C Mi, L Wen
Regional Environmental Change 18 (7), 2173-2182, 2018
292018
Combining occurrence and abundance distribution models for the conservation of the Great Bustard
C Mi, F Huettmann, R Sun, Y Guo
PeerJ 5, e4160, 2017
272017
Latitudinal embryonic thermal tolerance and plasticity shape the vulnerability of oviparous species to climate change
B Sun, L Ma, Y Wang, C Mi, LB Buckley, O Levy, H Lu, WG Du
Ecological Monographs 91 (3), e01468, 2021
242021
machine learning model analysis of breeding habitats for the black-necked crane in Central Asian Uplands under anthropogenic pressures
X Han, Y Guo, C Mi, F Huettmann, L Wen
Scientific reports 7 (1), 6114, 2017
242017
Obtaining the best possible predictions of habitat selection for wintering Great Bustards in Cangzhou, Hebei Province with rapid machine learning analysis
C Mi, F Huettmann, Y Guo
Chinese Science Bulletin 59, 4323-4331, 2014
182014
Satellite tracking reveals a new migration route of black-necked cranes (Grus nigricollis) in Qinghai-Tibet Plateau
Y Wang, C Mi, Y Guo
PeerJ 8, e9715, 2020
172020
Annual spatio-temporal migration patterns of Hooded Cranes wintering in Izumi based on satellite tracking and their implications for conservation
C Mi, AP Møller, Y Guo
Avian Research 9, 1-9, 2018
162018
Climate change would enlarge suitable planting areas of sugarcanes in China
CR Mi, Q Zu, L He, F Huettmann, N Jin, J Li
International Journal of Plant Production 11 (1), 151-165, 2017
142017
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Articles 1–20