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Items: 13

1.

Assessing deforestation susceptibility to forest ecosystem in Rudraprayag district, India using fragmentation approach and frequency ratio model.

Sahana M, Hong H, Sajjad H, Liu J, Zhu AX.

Sci Total Environ. 2018 Jun 15;627:1264-1275. doi: 10.1016/j.scitotenv.2018.01.290. Epub 2018 Feb 7.

PMID:
30857091
2.

Long-term variation of phytoplankton biomass and physiology in Taihu lake as observed via MODIS satellite.

Huang C, Zhang Y, Huang T, Yang H, Li Y, Zhang Z, He M, Hu Z, Song T, Zhu AX.

Water Res. 2019 Apr 15;153:187-199. doi: 10.1016/j.watres.2019.01.017. Epub 2019 Jan 25.

PMID:
30711794
3.

Vulnerability of cotton subjected to hail damage.

Yue Y, Zhou L, Zhu AX, Ye X.

PLoS One. 2019 Jan 30;14(1):e0210787. doi: 10.1371/journal.pone.0210787. eCollection 2019.

4.

Global sensitivity analysis of the APSIM-Oryza rice growth model under different environmental conditions.

Liu J, Liu Z, Zhu AX, Shen F, Lei Q, Duan Z.

Sci Total Environ. 2019 Feb 15;651(Pt 1):953-968. doi: 10.1016/j.scitotenv.2018.09.254. Epub 2018 Sep 20.

PMID:
30257234
5.

Landslide susceptibility modelling using GIS-based machine learning techniques for Chongren County, Jiangxi Province, China.

Chen W, Peng J, Hong H, Shahabi H, Pradhan B, Liu J, Zhu AX, Pei X, Duan Z.

Sci Total Environ. 2018 Jun 1;626:1121-1135. doi: 10.1016/j.scitotenv.2018.01.124. Epub 2018 Feb 19.

PMID:
29898519
6.

Applying genetic algorithms to set the optimal combination of forest fire related variables and model forest fire susceptibility based on data mining models. The case of Dayu County, China.

Hong H, Tsangaratos P, Ilia I, Liu J, Zhu AX, Xu C.

Sci Total Environ. 2018 Jul 15;630:1044-1056. doi: 10.1016/j.scitotenv.2018.02.278. Epub 2018 Mar 7.

PMID:
29554726
7.

Application of fuzzy weight of evidence and data mining techniques in construction of flood susceptibility map of Poyang County, China.

Hong H, Tsangaratos P, Ilia I, Liu J, Zhu AX, Chen W.

Sci Total Environ. 2018 Jun 1;625:575-588. doi: 10.1016/j.scitotenv.2017.12.256. Epub 2017 Dec 30.

PMID:
29291572
8.

Snub-nosed monkeys (Rhinopithecus): potential distribution and its implication for conservation.

Nüchel J, Bøcher PK, Xiao W, Zhu AX, Svenning JC.

Biodivers Conserv. 2018;27(6):1517-1538. doi: 10.1007/s10531-018-1507-0. Epub 2018 Jan 23.

9.

Carbon and nitrogen burial in a plateau lake during eutrophication and phytoplankton blooms.

Huang C, Zhang L, Li Y, Lin C, Huang T, Zhang M, Zhu AX, Yang H, Wang X.

Sci Total Environ. 2018 Mar;616-617:296-304. doi: 10.1016/j.scitotenv.2017.10.320. Epub 2017 Nov 6.

PMID:
29121578
10.

Flood susceptibility assessment in Hengfeng area coupling adaptive neuro-fuzzy inference system with genetic algorithm and differential evolution.

Hong H, Panahi M, Shirzadi A, Ma T, Liu J, Zhu AX, Chen W, Kougias I, Kazakis N.

Sci Total Environ. 2018 Apr 15;621:1124-1141. doi: 10.1016/j.scitotenv.2017.10.114. Epub 2017 Nov 1.

PMID:
29074239
11.

Spatial and temporal variation in autochthonous and allochthonous contributors to increased organic carbon and nitrogen burial in a plateau lake.

Huang C, Yao L, Zhang Y, Huang T, Zhang M, Zhu AX, Yang H.

Sci Total Environ. 2017 Dec 15;603-604:390-400. doi: 10.1016/j.scitotenv.2017.06.118. Epub 2017 Jun 23.

PMID:
28633116
12.

Changes in land use, climate and the environment during a period of rapid economic development in Jiangsu Province, China.

Huang C, Zhang M, Zou J, Zhu AX, Chen X, Mi Y, Wang Y, Yang H, Li Y.

Sci Total Environ. 2015 Dec 1;536:173-181. doi: 10.1016/j.scitotenv.2015.07.014. Epub 2015 Jul 21.

PMID:
26204053
13.

[New paradigm for soil and water conservation: a method based on watershed process modeling and scenario analysis].

Zhu AX, Chen LJ, Qin CZ, Wang P, Liu JZ, Li RK, Cai QG.

Ying Yong Sheng Tai Xue Bao. 2012 Jul;23(7):1883-90. Chinese.

PMID:
23173463

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