Network


Latest external collaboration on country level. Dive into details by clicking on the dots.

Hotspot


Dive into the research topics where Zhixiang Wu is active.

Publication


Featured researches published by Zhixiang Wu.


International Journal of Biometeorology | 2017

On the ratio of intercellular to ambient CO 2 ( c i / c a ) derived from ecosystem flux

Zhenghong Tan; Zhixiang Wu; Alice C. Hughes; Douglas Schaefer; Jiye Zeng; Guoyu Lan; Chuang Yang; Zhongliang Tao; Bangqian Chen; Yao-Hua Tian; Liang Song; Muhammad Tahir Jatoi; Junfu Zhao; Lianyan Yang

The ratio of intercellular to ambient CO2 concentrations (ci/ca) plays a key role in ecophysiology, micrometeorology, and global climatic change. However, systematic investigation on ci/ca variation and its determinants are rare. Here, the ci/ca was derived from measuring ecosystem fluxes in an even-aged monoculture of rubber trees (Hevea brasiliensis). We tested whether ci/ca is constant across environmental gradients and if not, which dominant factors control ci/ca variations. Evidence indicates that ci/ca is not a constant. The ci/ca exhibits a clear “V”-shaped diurnal pattern and varies across the environmental gradient. Water vapor pressure deficit (D) is the dominant factor controls over the ci/ca variations. ci/ca consistently decreases with increasing D. ci/ca decreases with square root of D as predicted by the optimal stomatal model. The D-driving single-variable model could simulate ci/ca as well as that of sophisticated model. Many variables function on longer timescales than a daily cycle, such as soil water content, could improve ci/ca model prediction ability. Ecosystem flux can be effectively used to calculate ci/ca and use it to better understand various natural cycles.


Tropical Conservation Science | 2017

Species Diversity in a Naturally Managed Rubber Plantation in Hainan Island, South China:

Guoyu Lan; Zhixiang Wu; Bangqian Chen; Guishui Xie

Due to production activities, species richness in rubber plantations varies considerably. To answer the question of how many species could potentially survive rubber plantation, we established a dynamic plot with an area of 1 hm2 in a rubber plantation in Danzhou, Hainan Island, south China. We surveyed and analyzed plant species diversity and spatial distribution patterns of dominant species in the plot. The results showed that (a) there are a total of 183 species belonging to 155 genera and 69 families in the 1 hm2 plot of the plantation. This level of species richness is slightly lower than a typical tropical rainforest of the same size. (b) Subplots as small as 4,000 m2 already contain at least 90% of species, genus, and family, respectively, which indicates that 1 hm2 plot may be large enough for the dynamic monitoring of species diversity in rubber plantations, in our region at least. (c) All of the 20 dominant species have a clumping distribution at Scale 0 to 5 m, which is similar to the finding in tropical rain forests. In conclusion, many plant species grow back in rubber plantations that are minimally managed or called naturally managed. Such a management approach could be useful in maintaining species diversity in rubber plantations.


international conference on digital manufacturing & automation | 2013

Components of Soil Respiration and Its Monthly Dynamics in Rubber Plantation Ecosystems

Zhixiang Wu; Limin Guan; Bangqian Chen; Chuan Yang; Guoyu Lan; Guishui Xie; Zhaode Zhou

Our objective was to quantify four components and study effect factors of soil respiration in rubber plantation ecosystems. Providing the basic data support for the establishment of the trade of rubber plantation ecosystem carbon source/sink. We used Li-6400 (IRGA, Li-COR) to quantitate four components of soil respiration in rubber plantation ecosystems at different ages. Soil respiration can be separated as four components: heterotrophic respiration (Rh), respiration of roots (Rr), respiration of litter layer (Rl) and respiration of mineral soil (Rm). The soil respiration rate (Rs) showed significant seasonal variation. The maximum soil respiration rate of the whole year appeared in August, and the minimum in November or December. The components of soil respiration rate order showed as: heterotrophic respiration>respiration of roots>respiration of litter layer>respiration of mineral soil. The soil respiration rate was highly significant correlation (p<;0.01, Q10=1.13~2.37) with 0~10 cm soil temperature in dry season, and significant correlation (p<;0.05, Q10=1.10~1.77) with 0~10cm soil temperature in wet season. And soil respiration rate was not significant correlation with soil water content of 5 cm (p≥0.05). The soil respiration components of four kinds forest ages accounted for the percentage contribution to the flux of annual carbon emissions (Rs) as: Rh: 35.28~52.75%, Rr: 21.73~39.97%, Rl: 17.13~19.63%, Rm: 6.605~10.27%%, respectively. The soil respiration rate carbon flux of 5a, 10a, 19a and 33a respectively were 10.03, 10.34, 11.96 and 11.09 t·hm-2·a-1. And the annual carbon flux of soil respiration increased with stand ages increasing in rubber plantation ecosystems.


Science of The Total Environment | 2018

Seasonal changes impact soil bacterial communities in a rubber plantation on Hainan Island, China

Guoyu Lan; Yuwu Li; Didier Lesueurd; Zhixiang Wu; Guishui Xie

Rubber plantations have expanded rapidly over the past 20 years in tropical Asia and their impacts on regional ecosystems have garnered much concern. While much attention has been given to the negative impacts on aboveground diversity and function, the belowground bacterial soil community has received much less attention. Here, we investigated the community composition and diversity of soil bacteria of rubber plantations on Hainan Island in south China. The goals of the study were to describe changes in bacterial compositions and diversity across seasons. We found that seasonality defined by differences in rainfall amount strongly influenced bacterial communities. At both the Phylum and Family levels, we found significant differences in the total number of taxa, as well as the composition of the community as a function of season. Diversity of soil samples in the dry-rainy season was highest of three seasons, suggesting that bacterial structure was more sensitive in alternate periods of season. Diversity in the rainy season was substantial lower than in dry season. Results from a redundancy analysis showed that seasonal changes explained the largest part (31.9%) of the total variance of bacterial community composition. In conclusion, seasonal change had the greatest influence on bacterial communities, which overshadowed the effects of soil nutrient as well as other factors, and controls the bacterial communities in soils of RP in tropical region of Hainan.


Remote Sensing | 2018

Identifying Establishment Year and Pre-Conversion Land Cover of Rubber Plantations on Hainan Island, China Using Landsat Data during 1987–2015

Bangqian Chen; Xiangming Xiao; Zhixiang Wu; Tin Yun; Weili Kou; Huichun Ye; Qinghuo Lin; Russell Doughty; Jinwei Dong; Jun Ma; Wei Luo; Guishui Xie; Jianhua Cao

Knowing the stand age of rubber tree (Hevea brasiliensis) plantations is vitally important for best management practices, estimations of rubber latex yields, and carbon cycle studies (e.g., biomass, carbon pools, and fluxes). However, the stand age (as estimated from the establishment year of rubber plantation) is not available across large regions. In this study, we analyzed Landsat time series images from 1987–2015 and developed algorithms to identify (1) the establishment year of rubber plantations; and (2) the pre-conversion land cover types, such as old rubber plantations, evergreen forests, and cropland. Exposed soil during plantation establishment and linear increases in canopy closure during non-production periods (rubber seedling to mature plantation) were used to identify the establishment year of rubber plantations. Based on the rubber plantation map for 2015 (overall accuracy = 97%), and 1981 Landsat images since 1987, we mapped the establishment year of rubber plantations on Hainan Island (R2 = 0.85/0.99, and RMSE = 2.34/0.54 years at pixel/plantation scale). The results show that: (1) significant conversion of croplands and old rubber plantations to new rubber plantations has occurred substantially in the northwest and northern regions of Hainan Island since 2000, while old rubber plantations were mainly distributed in the southeastern inland strip; (2) the pattern of rubber plantation expansion since 1987 consisted of fragmented plantations from smallholders, and there was no tendency to expand towards a higher altitude and steep slope regions; (3) the largest land source for new rubber plantations since 1988 was old rubber plantations (1.26 × 105 ha), followed by cropland (0.95 × 105 ha), and evergreen forests (0.68 × 105 ha). The resultant algorithms and maps of establishment year and pre-conversion land cover types are likely to be useful in plantation management, and ecological assessments of rubber plantation expansion in China. Remote Sens. 2018, 10, 1240; doi:10.3390/rs10081240 www.mdpi.com/journal/remotesensing Remote Sens. 2018, 10, 1240 2 of 23


Tropical Conservation Science | 2017

Change in Soil Microbial Community Compositions and Diversity Following the Conversion of Tropical Forest to Rubber Plantations in Xishuangbanan, Southwest China:

Guoyu Lan; Yuwu Li; Muhammad Tahir Jatoi; Zhenghong Tan; Zhixiang Wu; Guishui Xie

The ecological consequences of converting tropical forests to rubber plantations on the soil microbial compositions and diversity remain unknown. By using an Illumina MiSeq sequencing analysis, we assessed the compositions and diversity of bacterial and fungal community in soils of rubber plantation (or rubber forest, RF), secondary tropical forest (STF), and tropical seasonal rainforest (TSR) in Xishuangbanna, southwest China. Our findings revealed that (a) for bacterial composition, Bacillaceae was the most dominant family (13.60%) in RF soil, while it only accounted for 4.13% in STF and 6.92% in TSR. For fungal composition, the largest family in soils of RF was Basidiomycota_unclassified. However, the largest family in STF and TSR was Russulaceae. (b) Number of operational taxonomic units, Chao index, and Shannon index of bacterial community in soil of RF were significantly higher than those of TSR and STF. However, these diversity indices of fungal community in RF were significantly lower than those of TSR and STF. (c) Soil pH and total phosphorus were very important drivers for bacterial community, whereas soil organic matter and total nitrogen were the most important factors for fungal community. (d) The microbial biomass carbon in RF was relative lower than those in STF and TSR, which suggested that the total microbial biomass decreased after forest conversion. To protect the total diversity of this region, the individual farmers should use herbicides as little as possible to reserve ground vegetation. And the government could outline a land-use policy that prohibits the cultivation in areas of natural vegetation.


Forest Ecology and Management | 2012

Estimation of rubber stand age in typhoon and chilling injury afflicted area with Landsat TM data: A case study in Hainan Island, China

Bangqian Chen; Jianhua Cao; Jikun Wang; Zhixiang Wu; Zhongliang Tao; Junmin Chen; Chuan Yang; Guishui Xie


International Journal of Applied Earth Observation and Geoinformation | 2016

Mapping tropical forests and deciduous rubber plantations in Hainan Island, China by integrating PALSAR 25-m and multi-temporal Landsat images

Bangqian Chen; Xiangping Li; Xiangming Xiao; Bin Zhao; Jinwei Dong; Weili Kou; Yuanwei Qin; Chuan Yang; Zhixiang Wu; Rui Sun; Guoyu Lan; Guishui Xie


Isprs Journal of Photogrammetry and Remote Sensing | 2017

A mangrove forest map of China in 2015: Analysis of time series Landsat 7/8 and Sentinel-1A imagery in Google Earth Engine cloud computing platform

Bangqian Chen; Xiangming Xiao; Xiangping Li; Lianghao Pan; Russell Doughty; Jun Ma; Jinwei Dong; Yuanwei Qin; Bin Zhao; Zhixiang Wu; Rui Sun; Guoyu Lan; Guishui Xie; Nicholas Clinton; Chandra Giri


Isprs Journal of Photogrammetry and Remote Sensing | 2015

Spatio-temporal prediction of leaf area index of rubber plantation using HJ-1A/1B CCD images and recurrent neural network

Bangqian Chen; Zhixiang Wu; Jikun Wang; Jinwei Dong; Liming Guan; Junming Chen; Kai Yang; Guishui Xie

Collaboration


Dive into the Zhixiang Wu's collaboration.

Top Co-Authors

Avatar

Guishui Xie

Chinese Academy of Tropical Agricultural Sciences

View shared research outputs
Top Co-Authors

Avatar

Bangqian Chen

Chinese Academy of Tropical Agricultural Sciences

View shared research outputs
Top Co-Authors

Avatar

Guoyu Lan

Chinese Academy of Tropical Agricultural Sciences

View shared research outputs
Top Co-Authors

Avatar

Chuan Yang

Chinese Academy of Tropical Agricultural Sciences

View shared research outputs
Top Co-Authors

Avatar

Jikun Wang

Chinese Academy of Tropical Agricultural Sciences

View shared research outputs
Top Co-Authors

Avatar

Zhongliang Tao

Chinese Academy of Tropical Agricultural Sciences

View shared research outputs
Top Co-Authors

Avatar

Junming Chen

Chinese Academy of Tropical Agricultural Sciences

View shared research outputs
Top Co-Authors

Avatar

Jinwei Dong

University of Oklahoma

View shared research outputs
Top Co-Authors

Avatar

Rui Sun

Chinese Academy of Tropical Agricultural Sciences

View shared research outputs
Top Co-Authors

Avatar

Yuwu Li

Xishuangbanna Tropical Botanical Garden

View shared research outputs
Researchain Logo
Decentralizing Knowledge