Long-term dynamics and driving factors of phytoplankton biomass during urbanization, northern China

Kangxu ZHAO; Junping LÜ; Fangru NAN; Xudong LIU; Hui LING; Congjie PANG; Shulian XIE; Jia FENG

doi:10.1007/s00343-024-3245-3

Your Location：

Home >

Browse articles >

Long-term dynamics and driving factors of phytoplankton biomass during urbanization, northern China

Ecology | Updated：2024-12-24

- Long-term dynamics and driving factors of phytoplankton biomass during urbanization, northern China
- Long-term dynamics and driving factors of phytoplankton biomass during urbanization, northern China
- 海洋湖沼学报(英文) 2024年42卷第6期页码：1928-1942
- Affiliations：
  
  1.School of Life Science, Shanxi University, Taiyuan030006, China
  2.Management Committee of Taiyuan Fenhe Scenic Spot, Taiyuan030002, China
- Author bio：
  
  fengj@sxu.edu.cn
- Funds：
  
  the National Natural Science Foundation of China(32270220;U22A20445 to Jia FENG);the Excellent Achievement Cultivation Project of Higher Education in Shanxi(2020KJ029);the Natural Science Foundation of Shanxi Province(202203021211313)
- DOI：10.1007/s00343-024-3245-3
  中图分类号：
- 收稿：2023-11-17，
  
  纸质出版：2024-11-01
- Accepted：
Scan QR Code
Long-term dynamics and driving factors of phytoplankton biomass during urbanization, northern China[J]. 海洋湖沼学报(英文), 2024,42(6):1928-1942.

ZHAO Kangxu,LÜ Junping,NAN Fangru,et al.Research PaperLong-term dynamics and driving factors of phytoplankton biomass during urbanization, northern China[J].Journal of Oceanology and Limnology,2024,42(06):1928-1942.
Long-term dynamics and driving factors of phytoplankton biomass during urbanization, northern China[J]. 海洋湖沼学报(英文), 2024,42(6):1928-1942. DOI： 10.1007/s00343-024-3245-3.

ZHAO Kangxu,LÜ Junping,NAN Fangru,et al.Research PaperLong-term dynamics and driving factors of phytoplankton biomass during urbanization, northern China[J].Journal of Oceanology and Limnology,2024,42(06):1928-1942. DOI： 10.1007/s00343-024-3245-3.

摘要

Abstract

Understanding the relative impact of nutrients and related environmental variables on phytoplankton biomass changes in urban rivers is important for river management. In this study

we explored the long-term dynamic changes and driving factors of phytoplankton biomass in the process of urbanization from the perspective of time and space

and provided a scientific support to water ecological health assessment and management of urban rivers. From 2012 to 2021

the phytoplankton community composition in Taiyuan section of Fenhe River was found to be dominated by Cyanophyta

Chlorophyta

and Bacillariophyta. Among them

cyanobacteria were the main contributors to the total abundance

green algae ranked second

and diatoms were the least. The biomass of phytoplankton in different groups showed different decreasing trends. Based on 10 environmental factors to explain the changes of three main phytoplankton groups (cyanobacteria

green algae

diatoms)

we found that chemical oxygen demand and water temperature had a high explanation rate for the abundance changes of the three main phytoplankton groups

which were important environmental factors affecting their biomass changes. The random forest model was used to analyze the changes in the total biomass of phytoplankton. It was found that the permanganate index had a higher contribution to the total biomass of phytoplankton in time. The contribution of air temperature to the total biomass of phytoplankton was higher in space.

关键词

Keywords

references

Allan J D , Castillo M M , Capps K A . 2021 . Stream Ecology: Structure and Function of Running Waters. 3 rd edn . Springer, Cham . 436 p. https://do 10.1007/978-3-030-61286-3 http://dx.doi.org/10.1007/978-3-030-61286-3

Aronson M F , Lepczyk C A , Evans K L et al . 2017 . Biodiversity in the city: key challenges for urban green space management . Frontiers in Ecology and the Environment , 15 ( 4 ): 189 - 196 , https://doi.org/10.1002/fee.1480 https://doi.org/10.1002/fee.1480 .

Bai X M , McPhearson T , Cleugh H et al . 2017 . Linking urbanization and the environment: conceptual and empirical advances . Annual Review of Environment and Resources , 42 : 215 - 240 , https://doi.org/10.1146/annurev-environ-102016-061128 https://doi.org/10.1146/annurev-environ-102016-061128 .

Bao L L , Chen J , Tong H J et al . 2022 . Phytoplankton dynamics and implications for eutrophication management in an urban river with a series of rubber dams . Journal of Environmental Management , 311 : 114865 , https://doi.org/10.1016/j.jenvman.2022.114865 https://doi.org/10.1016/j.jenvman.2022.114865 .

Barrenha P I I , Tanaka M O , Hanai F Y et al . 2018 . Multivariate analyses of the effect of an urban wastewater treatment plant on spatial and temporal variation of water quality and nutrient distribution of a tropical mid-order river . Environmental Monitoring and Assessment , 190 ( 1 ): 43 , https://doi.‍org/10.1007/s10661-017-6386-4 https://doi.‍org/10.1007/s10661-017-6386-4 . https://do 10.1007/s10661-017-6386-4 http://dx.doi.org/10.1007/s10661-017-6386-4

Bowes M J , Loewenthal M , Read D S et al . 2016 . Identifying multiple stressor controls on phytoplankton dynamics in the River Thames (UK) using high-frequency water quality data . Science of the Total Environment , 569 - 570 : 1489 - 1499 , https://doi.org/10.1016/j.scitotenv.2016.06.239 https://doi.org/10.1016/j.scitotenv.2016.06.239 .

Cao J L , Zhang Y H , Zhang J et al . 2022 . Research progress of water ecological health assessment at home and abroad . Journal of Environmental Engineering Technology , 12 ( 5 ): 1402 - 1410 , https://doi.‍org/10.12153/j.issn.1674-991X.20210425. https://doi.‍org/10.12153/j.issn.1674-991X.20210425. (in Chinese with English abstract)

Catherine A , Mouillot D , Escoffier N et al . 2010 . Cost effective prediction of the eutrophication status of lakes and reservoirs . Freshwater Biology , 55 ( 11 ): 2425 - 2435 , https://doi.org/10.1111/j.1365-2427.2010.02452.x https://doi.org/10.1111/j.1365-2427.2010.02452.x .

Chen S N , Liu H Y , Zhang H H et al . 2023 . Temporal patterns of algae in different urban lakes and their correlations with environmental variables in Xi'an, China . Journal of Environmental Sciences , 133 : 138 - 151 , https://doi.org/10.1016/j.jes.2022.07.036 https://doi.org/10.1016/j.jes.2022.07.036 .

De Mello F T , Sierra P , Moi D A et al . 2024 . Effects of urbanization and accessibility to sanitation services on water quality in urban streams in Uruguay . Environmental Monitoring and Assessment , 196 ( 2 ): 185 , https://doi.‍org/10.1007/s10661-024-12365-z https://doi.‍org/10.1007/s10661-024-12365-z . https://do 10.1007/s10661-024-12365-z http://dx.doi.org/10.1007/s10661-024-12365-z

De Oliveira L F V , Margis R . 2015 . The source of the river as a nursery for microbial diversity . PLoS One , 10 ( 3 ): e0120608 , https://doi.org/10.1371/journal.pone.0120608 https://doi.org/10.1371/journal.pone.0120608 .

Dolph C L , Hansen A T , Finlay J C . 2017 . Flow-related dynamics in suspended algal biomass and its contribution to suspended particulate matter in an agricultural river network of the Minnesota River Basin, USA . Hydrobiologia , 785 ( 1 ): 127 - 147 , https://doi.org/10.1007/s10750-016-2911-7 https://doi.org/10.1007/s10750-016-2911-7 .

Eisner L B , Gann J C , Ladd C et al . 2016 . Late summer/early fall phytoplankton biomass (chlorophyll a ) in the eastern Bering Sea: spatial and temporal variations and factors affecting chlorophyll ‍ a concentrations . Deep Sea Research Part II : Topical Studies in Oceanography , 134 : 100 - 114 , https://doi.org/10.1016/j.dsr2.2015.07.012 https://doi.org/10.1016/j.dsr2.2015.07.012 .

Fan A X , Wang Z P , Wang C et al . 2020 . The characteristics and cause analysis of oxygen consumption substances for the waterbody in the main channel of the Middle Route of South-to-North Water Diversion Project . Acta Scientiae Circumstantiae , 40 ( 3 ): 871 - 879 , https://doi.org/10.13671/j.‍hjkxxb.‍2019.0423. https://doi.org/10.13671/j.‍hjkxxb.‍2019.0423. (in Chinese with English abstract)

Fan S S , Wen G , Liu A . 2023 . Urban stormwater disinfection, quality variability during storage and influence on the freshwater algae: implications for reuse safety . Journal of Environmental Sciences , 124 : 655 - 666 , https://doi.‍org/10.1016/j.jes.2021.11.034 https://doi.‍org/10.1016/j.jes.2021.11.034 . https://do 10.1016/j.jes.2021.11.034 http://dx.doi.org/10.1016/j.jes.2021.11.034

Guo S S , Hu E , Ding Y T et al . 2024 . Response of phytoplankton communities and environmental factors under the influence of land use in the Wuding River Basin . Environmental Science , 45 ( 4 ): 2211 - 2222 , https://doi.org/10.13227/j.hjkx.202304202. https://doi.org/10.13227/j.hjkx.202304202. (in Chinese with English abstract)

Guo W , Yang F , Li Y P et al . 2017 . New insights into the source of decadal increase in chemical oxygen demand associated with dissolved organic carbon in Dianchi Lake . Science of the Total Environment , 603 - 604 : 699 - 708 , https://doi.org/10.1016/j.scitotenv.2017.02.024 https://doi.org/10.1016/j.scitotenv.2017.02.024 .

Haakonsson S , Rodríguez-Gallego L , Somma A et al . 2017 . Temperature and precipitation shape the distribution of harmful cyanobacteria in subtropical lotic and lentic ecosystems . Science of the Total Environment , 609 : 1132 - 1139 , https://doi.org/10.1016/j.scitotenv.2017.07.067 https://doi.org/10.1016/j.scitotenv.2017.07.067 .

He D , Zhang K , Tang J H et al . 2018 . Using fecal sterols to assess dynamics of sewage input in sediments along a human-impacted river-estuary system in eastern China . Science of the Total Environment , 636 : 787 - 797 , https://doi.org/10.1016/j.scitotenv.2018.04.314 https://doi.org/10.1016/j.scitotenv.2018.04.314 .

Heino J , Soininen J , Alahuhta J et al . 2017 . Metacommunity ecology meets biogeography: effects of geographical region, spatial dynamics and environmental filtering on community structure in aquatic organisms . Oecologia , 183 ( 1 ): 121 - 137 , https://doi.org/10.1007/s00442-016-3750-y https://doi.org/10.1007/s00442-016-3750-y .

Hu H J , Wei Y X . 2006 . The Freshwater Algae of China: Systematics, Taxonomy and Ecology . Science Press , Beijing , China. (in Chinese)

Hu X Y , Hu M , Zhu Y et al . 2022 . Phytoplankton community variation and ecological health assessment for impounded lakes along the eastern route of China's South-to-North Water Diversion Project . Journal of Environmental Management , 318 : 115561 , https://doi.‍org/10.1016/j.jenvman.2022.115561 https://doi.‍org/10.1016/j.jenvman.2022.115561 . https://do 10.1016/j.jenvman.2022.115561 http://dx.doi.org/10.1016/j.jenvman.2022.115561

Isabwe A , Yang J R , Wang Y M et al . 2018 . Community assembly processes underlying phytoplankton and bacterioplankton across a hydrologic change in a human-impacted river . Science of the Total Environment , 630 : 658 - 667 , https://doi.org/10.1016/j.scitotenv.2018.02.210 https://doi.org/10.1016/j.scitotenv.2018.02.210 .

Jeppesen E , Søndergaard M , Jensen J P et al . 2005 . Lake responses to reduced nutrient loading—an analysis of contemporary long-term data from 35 case studies . Freshwater Biology , 50 ( 10 ): 1747 - 1771 , https://doi.org/10.1111/j.1365-2427.2005.01415.x https://doi.org/10.1111/j.1365-2427.2005.01415.x .

Kehoe M J , Chun K P , Baulch H M . 2015 . Who smells? Forecasting taste and odor in a drinking water reservoir . Environmental Science & Technology , 49 ( 18 ): 10984 - 10992 , https://doi.‍org/10.1021/acs.‍est.5b00979 https://doi.‍org/10.1021/acs.‍est.5b00979 . https://do 10.1021/acs.est.5b00979 http://dx.doi.org/10.1021/acs.est.5b00979

Kröger B , Selmeczy G B , Casper P et al . 2023 . Long-term phytoplankton community dynamics in Lake Stechlin (north-east Germany) under sudden and heavily accelerating eutrophication . Freshwater Biology , 68 ( 5 ): 737 - 751 , https://doi.org/10.1111/fwb.‍14060 https://doi.org/10.1111/fwb.‍14060 .

Liu Y , Jiang X F , Li D P et al . 2023 . Intensive human land uses cause the biotic homogenization of algae and change their assembly process in a major watershed of China . Science of the Total Environment , 871 : 162115 , https://doi.org/10.1016/j.scitotenv.2023.162115 https://doi.org/10.1016/j.scitotenv.2023.162115 .

Liu Y , Xi D G , Li Z L . 2015 . Determination of the optimal training principle and input variables in artificial neural network model for the biweekly chlorophyll- a prediction: a case study of the Yuqiao reservoir, China . PLoS One , 10 ( 3 ): e0119082 , https://doi.org/10.1371/journal.pone.0119082 https://doi.org/10.1371/journal.pone.0119082 .

Lürling M , Mello M M E , van Oosterhout F et al . 2018 . Response of natural cyanobacteria and algae assemblages to a nutrient pulse and elevated temperature . Frontiers in Microbiology , 9 : 1851 , https://doi.org/10.3389/fmicb.‍2018.01851 https://doi.org/10.3389/fmicb.‍2018.01851 .

Mahmood S , Sharif F , Rahman A U et al . 2018 . Analysis and forecasting of municipal solid waste in Nankana City using geo-spatial techniques . Environmental Monitoring and Assessment , 190 ( 5 ): 275 , https://doi.org/10.1007/s10661-018-6631-5 https://doi.org/10.1007/s10661-018-6631-5 .

Mckay R M L , Tuttle T , Reitz L A et al . 2018 . Early onset of a microcystin-producing cyanobacterial bloom in an agriculturally-influenced Great Lakes tributary . Journal of Oceanology and Limnology , 36 ( 4 ): 1112 - 1125 , https://doi.org/10.1007/s00343-018-7164-z https://doi.org/10.1007/s00343-018-7164-z .

Minaudo C , Curie F , Jullian Y et al . 2018 . QUAL-NET, a high temporal-resolution eutrophication model for large hydrographic networks . Biogeosciences , 15 ( 7 ): 2251 - 2269 , https://doi.org/10.5194/bg-15-2251-2018 https://doi.org/10.5194/bg-15-2251-2018 .

Mizusawa N , Reza S , Oikawa C et al . 2021 . Diversity and functions of bacterial communities in water and sediment from the watershed of the Tama River flowing a highly urbanized area . Fisheries Science , 87 ( 5 ): 697 - 715 , https://doi.org/10.1007/s12562-021-01543-4 https://doi.org/10.1007/s12562-021-01543-4 .

Némery J , Gratiot N , Doan P T K et al . 2016 . Carbon, nitrogen, phosphorus, and sediment sources and retention in a small eutrophic tropical reservoir . Aquatic Sciences , 78 ( 1 ): 171 - 189 , https://doi.org/10.1007/s00027-015-0416-5 https://doi.org/10.1007/s00027-015-0416-5 .

Paerl H W , Otten T G , Kudela R . 2018 . Mitigating the expansion of harmful algal blooms across the freshwater-to-marine continuum . Environmental Science & Technology , 52 ( 10 ): 5519 - 5529 , https://doi.‍org/10.1021/acs.est.7b05950 https://doi.‍org/10.1021/acs.est.7b05950 . https://do 10.1021/acs.est.7b05950 http://dx.doi.org/10.1021/acs.est.7b05950

Park Y , Pachepsky Y A , Cho K H et al . 2015 . Stressor-response modeling using the 2D water quality model and regression trees to predict chlorophyll- a in a reservoir system . Journal of Hydrology , 529 : 805 - 815 , https://doi.org/10.1016/j.jhydrol.2015.09.002 https://doi.org/10.1016/j.jhydrol.2015.09.002 .

Rodriguez-Galiano V F , Ghimire B , Rogan J et al . 2012 . An assessment of the effectiveness of a random forest classifier for land-cover classification . ISPRS Journal of Photogrammetry and Remote Sensing , 67 : 93 - 104 , https://doi.org/10.1016/j.isprsjprs.2011.11.002 https://doi.org/10.1016/j.isprsjprs.2011.11.002 .

Rosińska J , Kozak A , Dondajewska R et al . 2017 . Cyanobacteria blooms before and during the restoration process of a shallow urban lake . Journal of Environmental Management , 198 : 340 - 347 , https://doi.org/10.1016/j.jenvman.2017.04.091 https://doi.org/10.1016/j.jenvman.2017.04.091 .

Shevchenko T F , Klochenko P D , Bilous O P . 2018 . Response of epiphytic algae to heavy pollution of water bodies . Water Environment Research , 90 ( 8 ): 706 - 718 , https://doi.org/10.2175/106143017X15054988926442 https://doi.org/10.2175/106143017X15054988926442 .

Song X P , Hansen M C , Stehman S V et al . 2018 . Global land change from 1982 to 2016 . Nature , 560 ( 7720 ): 639 - 643 , https://doi.org/10.1038/s41586-018-0411-9 https://doi.org/10.1038/s41586-018-0411-9 .

Tan Q Y , Zhang G Y , Ding A Z et al . 2023 . Anthropogenic land-use activities within watersheds reduce comammox activity and diversity in rivers . Journal of Environmental Management , 338 : 117841 , https://doi.org/10.1016/j.jenvman.2023.117841 https://doi.org/10.1016/j.jenvman.2023.117841 .

Thomalla S J , Nicholson S A , Ryan-Keogh T J et al . 2023 . Widespread changes in Southern Ocean phytoplankton blooms linked to climate drivers . Nature Climate Change , 13 ( 9 ): 975 - 984 , https://doi.org/10.1038/s41558-023-01768-4 https://doi.org/10.1038/s41558-023-01768-4 .

Tolotti M , Thies H , Nickus U et al . 2012 . Temperature modulated effects of nutrients on phytoplankton changes in a mountain lake . Hydrobiologia , 698 ( 1 ): 61 - 75 , https://doi.org/10.1007/s10750-012-1146-5 https://doi.org/10.1007/s10750-012-1146-5 .

Uchida K , Blakey R V , Burger J R et al . 2021 . Urban biodiversity and the importance of scale . Trends in Ecology & Evolution , 36 ( 2 ): 123 - 131 , https://doi.‍org/10.1016/j.tree.2020.10.011 https://doi.‍org/10.1016/j.tree.2020.10.011 . https://do 10.1016/j.tree.2020.10.011 http://dx.doi.org/10.1016/j.tree.2020.10.011

Wang L , Zhang J , Li H L et al . 2018 . Shift in the microbial community composition of surface water and sediment along an urban river . Science of the Total Environment , 627 : 600 - 612 , https://doi.‍‍‍org/10.1016/j.scitotenv.2018.01.203 https://doi.‍‍‍org/10.1016/j.scitotenv.2018.01.203 . https://do 10.1016/j.scitotenv.2018.01.203 http://dx.doi.org/10.1016/j.scitotenv.2018.01.203

Wang R , Wu J J , Yiu K F et al . 2020 . Long-term variation in phytoplankton assemblages during urbanization: a comparative case study of Deep Bay and Mirs Bay, Hong Kong, China . Science of the Total Environment , 745 : 140993 , https://doi.org/10.1016/j.scitotenv.2020.140993 https://doi.org/10.1016/j.scitotenv.2020.140993 .

Wu S Z , Wang D , Ma L K et al . 2015 . An overall reading of action plan for prevention and control of water pollution . Environmental Protection , 43 ( 9 ): 14 - 18 , https://doi.org/10.14026/j.cnki.0253-9705.2015.09.002. https://doi.org/10.14026/j.cnki.0253-9705.2015.09.002. (in Chinese)

Xiao Y N , Cheng J H , Mo X C et al . 2023 . Spatio-temporal variation of phytoplankton community and its relationship with environmental factors in Danjiangkou Reservoir . Journal of Lake Sciences , 35 ( 3 ): 821 - 832 , https://doi.org/10.18307/2023.0306. https://doi.org/10.18307/2023.0306. (in Chinese with English abstract)

Xu M , Zhang T , Wang D et al . 2019 . Review and prospect of water pollution prevention and control of China in the forty years of reform and opening-up . Chinese Journal of Environmental Management , 11 ( 3 ): 65 - 71 , https://doi.org/10.16868/j.‍cnki.‍1674-6252.2019.03.065. https://doi.org/10.16868/j.‍cnki.‍1674-6252.2019.03.065. (in Chinese with English abstract)

Yang J , Wang F , Lv J P et al . 2019 . Interactive effects of temperature and nutrients on the phytoplankton community in an urban river in China . Environmental Monitoring and Assessment , 191 ( 11 ): 688 , https://doi.org/10.1007/s10661-019-7847-8 https://doi.org/10.1007/s10661-019-7847-8 .

Yang S , Bertuzzo E , Büttner O et al . 2021 . Emergent spatial patterns of competing benthic and pelagic algae in a river network: a parsimonious basin-scale modeling analysis . Water Research , 193 : 116887 , https://doi.org/10.1016/j.watres.2021.‍116887 https://doi.org/10.1016/j.watres.2021.‍116887 .

Yang Y G , Chen H H , Al Abdullah M et al . 2022 . Urbanization reduces resource use efficiency of phytoplankton community by altering the environment and decreasing biodiversity . Journal of Environmental Sciences , 112 : 140 - 151 , https://doi.org/10.1016/j.jes.‍2021.05.001 https://doi.org/10.1016/j.jes.‍2021.05.001 .

Zeng Q H , Liu Y , Zhao H T et al . 2017 . Comparison of models for predicting the changes in phytoplankton community composition in the receiving water system of an inter-basin water transfer project . Environmental Pollution , 223 : 676 - 684 , https://doi.org/10.1016/j.envpol.2017.02.001 https://doi.org/10.1016/j.envpol.2017.02.001 .

Zhang H H , Zong R R , He H Y et al . 2021 . Biogeographic distribution patterns of algal community in different urban lakes in China: insights into the dynamics and co-existence . Journal of Environmental Sciences , 100 : 216 - 227 , https://doi.org/10.1016/j.jes.2020.07.024 https://doi.org/10.1016/j.jes.2020.07.024 .

Zhang J Y , Zhang N , Liu Y X et al . 2018a . Root microbiota shift in rice correlates with resident time in the field and developmental stage . Science China Life Sciences , 61 ( 6 ): 613 - 621 , https://doi.org/10.1007/s11427-018-9284-4 https://doi.org/10.1007/s11427-018-9284-4 .

Zhang M , Shi X L , Yang Z et al . 2018b . Long-term dynamics and drivers of phytoplankton biomass in eutrophic Lake Taihu . Science of the Total Environment , 645 : 876 - 886 , https://doi.org/10.1016/j.scitotenv.2018.07.220 https://doi.org/10.1016/j.scitotenv.2018.07.220 .

Zhang M , Yu Y , Yang Z et al . 2012 . The distribution of phytoplankton along trophic gradients and its mediation by available light in the pelagic zone of large eutrophic lakes . Canadian Journal of Fisheries and Aquatic Sciences , 69 ( 12 ): 1935 - 1946 , https://doi.org/10.1139/f2012-113 https://doi.org/10.1139/f2012-113 .

Zhang P , Peng C H , Zhang J B et al . 2022 . Long-term harmful algal blooms and nutrients patterns affected by climate change and anthropogenic pressures in the Zhanjiang Bay, China . Frontiers in Marine Science , 9 : 849819 , https://doi.org/10.3389/fmars.2022.849819 https://doi.org/10.3389/fmars.2022.849819 .

Zhao K X , Yang J , Lv J P et al . 2022 . Structural characteristics of periphytic algal community and its relationship with environmental factors in the Taiyuan region of the Fenhe river . Water , 14 ( 14 ): 2151 , https://doi.org/10.3390/w14142151 https://doi.org/10.3390/w14142151 .

Zhu W , Wan L , Zhao L F . 2010 . Effect of nutrient level on phytoplankton community structure in different water bodies . Journal of Environmental Sciences , 22 ( 1 ): 32 - 39 , https://doi.org/10.1016/s1001-0742(09)60071-1 https://doi.org/10.1016/s1001-0742(09)60071-1 .

浏览量

Downloads

CSCD

文章被引用时，请邮件提醒。

Submit

工具集

关联资源

Long-term dynamics of net-phytoplankton community under environmental drivers in Jiaozhou Bay, China

Distribution and influencing factors of microeukaryote in different water layers of the southwestern Indian Ocean Ridge

Effects of inorganic nutrients and environmental factors on the removal of n-propylbenzene and isopropylbenzene in seawater by cryptophytes Rhinomonas reticulata S6A

Analysis on the causes of massive stranding of Yellow Sea green tide on Lianyungang and Rizhao coasts in 2022

液体火箭发动机背压振荡环境下的雾化特性研究进展