Plant community, geographic distance and abiotic factors play different roles in predicting AMF biogeography at the regional scale in northern China

2016 ◽  
Author(s):  
Tianle Xu ◽  
Stavros D. Veresoglou ◽  
Yongliang Chen ◽  
Matthias C. Rillig ◽  
Dan Xiang ◽  
...  
Keyword(s):  
Plant Community ◽  
Abiotic Factors ◽  
Regional Scale ◽  
Geographic Distance ◽  
Northern China

Plant community, geographic distance and abiotic factors play different roles in predicting AMF biogeography at the regional scale in northern China

2016 ◽  
Vol 8 (6) ◽  
pp. 1048-1057 ◽  
Author(s):  
Tianle Xu ◽  
Stavros D. Veresoglou ◽  
Yongliang Chen ◽  
Matthias C. Rillig ◽  
Dan Xiang ◽  
...  
Keyword(s):  
Plant Community ◽  
Abiotic Factors ◽  
Regional Scale ◽  
Geographic Distance ◽  
Northern China

scholarly journals Climate Dynamics of the Spatiotemporal Changes of Vegetation NDVI in Northern China from 1982 to 2015

2021 ◽  
Vol 13 (2) ◽  
pp. 187
Author(s):  
Rui Sun ◽  
Shaohui Chen ◽  
Hongbo Su
Keyword(s):  
Solar Radiation ◽  
Vegetation Index ◽  
Global Climate ◽  
Regional Scale ◽  
Northern China ◽  
Climate Dynamics ◽  
High Coverage ◽  
Vegetation Growth ◽  
Temperature And Precipitation ◽  
Precipitation And Temperature

As an important part of a terrestrial ecosystem, vegetation plays an important role in the global carbon-water cycle and energy flow. Based on the Global Inventory Monitoring and Modeling System (GIMMS) third generation of Normalized Difference Vegetation Index (NDVI3g), meteorological station data, climate reanalysis data, and land cover data, this study analyzed the climate dynamics of the spatiotemporal variations of vegetation NDVI in northern China from 1982 to 2015. The results showed that growth season NDVI (NDVIgs) increased significantly at 0.006/10a (p < 0.01) in 1982–2015 on the regional scale. The period from 1982 to 2015 was divided into three periods: the NDVIgs increased by 0.026/10a (p < 0.01) in 1982–1990, decreased by −0.002/10a (p > 0.1) in 1990–2006, and then increased by 0.021/10a (p < 0.01) during 2006–2015. On the pixel scale, the increases in NDVIgs during 1982–2015, 1982–1990, 1990–2006, and 2006–2015 accounted for 74.64%, 85.34%, 48.14%, and 68.78% of the total area, respectively. In general, the dominant climate drivers of vegetation growth had gradually switched from solar radiation, temperature, and precipitation (1982–1990) to precipitation and temperature (1990–2015). For woodland, high coverage grassland, medium coverage grassland, low coverage grassland, the dominant climate drivers had changed from temperature and solar radiation, solar radiation and precipitation, precipitation and solar radiation, solar radiation to precipitation and solar radiation, precipitation, precipitation and temperature, temperature and precipitation. The areas controlled by precipitation increased significantly, mainly distributed in arid, sub-arid, and sub-humid areas. The dominant climate drivers for vegetation growth in the plateau climate zone or high-altitude area changed from solar radiation to temperature and precipitation, and then to temperature, while in cold temperate zone, changed from temperature to solar radiation. These results are helpful to understand the climate dynamics of vegetation growth, and have important guiding significance for vegetation protection and restoration in the context of global climate change.

scholarly journals Regional‐Scale Precipitation Anomalies in Northern China During the Holocene and Possible Impact on Prehistoric Demographic Changes

2018 ◽  
Vol 45 (22) ◽  
pp. 12,477-12,486 ◽  
Author(s):  
Jianyong Li ◽  
Hong Yan ◽  
John Dodson ◽  
Qinghai Xu ◽  
Aizhi Sun ◽  
...  
Keyword(s):  
Regional Scale ◽  
Northern China ◽  
Demographic Changes ◽  
The Holocene ◽  
Precipitation Anomalies

scholarly journals Understanding Plant Community Responses to Combinations of Biotic and Abiotic Factors in Different Phases of the Plant Growth Cycle

PLoS ONE ◽  
2012 ◽  
Vol 7 (11) ◽  
pp. e49824 ◽  
Author(s):  
Kevin A. Wood ◽  
Richard A. Stillman ◽  
Ralph T. Clarke ◽  
Francis Daunt ◽  
Matthew T. O’Hare
Keyword(s):  
Plant Growth ◽  
Plant Community ◽  
Abiotic Factors ◽  
Growth Cycle ◽  
Community Responses ◽  
Biotic And Abiotic Factors

Diversity of Gall-Inducing Insects Associated With a Widely Distributed Tropical Tree Species: Testing the Environmental Stress Hypothesis

2020 ◽  
Vol 49 (4) ◽  
pp. 838-847
Author(s):  
Marcílio Fagundes ◽  
Pablo Cuevas-Reyes ◽  
Letícia F Ramos Leite ◽  
Magno Augusto Zazá Borges ◽  
Walter Santos De Araújo ◽  
...  
Keyword(s):  
Environmental Stress ◽  
Abiotic Factors ◽  
Regional Scale ◽  
Soil Nutrient ◽  
Plant Performance ◽  
Insect Diversity ◽  
Ecological Scale ◽  
Copaifera Langsdorffii ◽  
Study Sites ◽  
Plant Herbivore

Abstract Abiotic factors can affect plant performance and cause stress, which in turn affects plant–herbivore interactions. The Environmental Stress Hypothesis (ESH) predicts that gall-inducing insect diversity will be greater on host plants that grow in stressful habitats. We tested this hypothesis, considering both historical and ecological scales, using the plant Copaifera langsdorffii Desf. (Fabaceae) as a model because it has a wide geographic distribution and is a super-host of gall-inducing insects. According to the ESH, we predicted that 1) on a historical scale, the diversity of gall-inducing insects will be higher in habitats with greater environmental stress and 2) on an ecological scale, gall-inducing insect diversity will be greater on plants that possess greater levels of foliar sclerophylly. We sampled gall-inducing insects on plants of C. langsdorffii in five sites with different levels of water and soil nutrient availability and separated from each other by a distance of up to 470 km. The composition, richness, and abundance of gall-inducing insects varied among study sites. Plants located in more stressful habitats had higher levels of foliar sclerophylly; but richness and abundance of gall-inducing insects were not affected by host plant sclerophylly. Habitat stress was a good predictor of gall-inducing insect diversity on a regional scale, thus corroborating the first prediction of the ESH. No relationship was found between plant sclerophylly and gall-inducing insect diversity within habitats. Therefore, on a local scale, we did not find support for our second prediction related to the ESH.

scholarly journals Inter-Individual Nectar Chemistry Changes of Field Scabious, Knautia arvensis

Insects ◽  
2020 ◽  
Vol 11 (2) ◽  
pp. 75
Author(s):  
Christine Venjakob ◽  
Sara Leonhardt ◽  
Alexandra-Maria Klein
Keyword(s):  
Amino Acids ◽  
Plant Species ◽  
Plant Community ◽  
Individual Variation ◽  
Abiotic Factors ◽  
Essential Amino Acids ◽  
Nutritional Composition ◽  
Community Context ◽  
Isoleucine Leucine ◽  
Nectar Chemistry

Nectar is crucial to maintain plant-pollinator mutualism. Nectar quality (nutritional composition) can vary strongly between individuals of the same plant species. The factors driving such inter-individual variation have however not been investigated closer. We investigated nectar quality of field scabious, Knautia arvensis in different grassland plant communities varying in species composition and richness to assess whether nectar quality can be affected by the surrounding plant community. We analyzed (with high performance liquid chromatography) the content of carbohydrates, overall amino acids, and essential amino acids. Amino acid and carbohydrate concentrations and proportions varied among plant individuals and with the surrounding plant community but were not related to the surrounding plant species richness. Total and individual carbohydrate concentrations were lowest, while proportions of the essential amino acids, valine, isoleucine, leucine (all phagostimulatory), and lysine were highest in plant species communities of the highest diversity. Our results show that K. arvensis nectar chemistry varies with the composition of the surrounding plant community, which may alter the taste and nutritional value and thus affect the plant’s visitor spectrum and visitation rate. However, the strong inter-individual variation in nectar quality requires additional studies (e.g., in semi-field studies) to disentangle different biotic and abiotic factors contributing to inter-individual nectar chemistry in a plant-community context.

scholarly journals Influence of Spatial Resolution and Retrieval Frequency on Applicability of Satellite-Predicted PM2.5 in Northern China

2020 ◽  
Vol 12 (4) ◽  
pp. 736 ◽  
Author(s):  
Rong Li ◽  
Xin Mei ◽  
Liangfu Chen ◽  
Zifeng Wang ◽  
Yingying Jing ◽  
...  
Keyword(s):  
Spatial Resolution ◽  
Fine Particulate Matter ◽  
Regional Scale ◽  
Atmospheric Correction ◽  
Northern China ◽  
Screening Methods ◽  
Deep Blue ◽  
Modis Aod ◽  
Cloud Screening ◽  
Pollution Events

Satellite aerosol optical depth (AOD) products have been widely used in estimating fine particulate matter (PM2.5) concentrations near the surface at a regional scale, and perform well compared with ground measurements. However, the influence of limitations such as retrieval frequency and the spatial resolution of satellite AODs on the applicability of predicted PM2.5 values has been rarely considered. With three widely used MODIS AOD products, including Multi-Angle Implementation of Atmospheric Correction (MAIAC), Deep Blue (DB) and Dark Target (DT), here we evaluate the influence of their spatial resolution and sampling frequency by estimating daily PM2.5 concentrations in the Beijing-Tianjin-Hebei (BTH) region of northern China during 2017 utilizing a mixed effects model. The daily concentrations of PM2.5 derived from MAIAC, DB and DT AOD all have high correlations (R2: 0.78, 0.8, and 0.78) with the observed values, but the predicted annual PM2.5 exhibits a distinct spatial distribution. DT estimation obviously underestimates annual PM2.5 in polluted areas due to lower sampling of heavy pollution events. By contrast, the retrieval frequency (~40-60%) of MAIAC and DB AOD can represent well annual PM2.5 in nearly all 83 sites tested. However, MAIAC and DB-derived PM2.5 have a larger bias compared with observed values than DT, indicating that the large spatial variation of aerosol properties can exert an influence on the reliability of the statistical AOD-PM2.5 relationship. Also, there is notable difference between MAIAC and DB PM2.5 due to their different cloud screening methods. The MAIAC PM2.5 with high spatial resolution at 1 km can capture much finer hotpots than DB and DT at 10 km. Our results suggest that it is crucial to consider the applicability of satellite-predicted PM2.5 values derived from different aerosol products according to the specific requirements besides modeling the AOD-PM2.5 relationship.

Response of the annual biomass production of a typical steppe plant community to precipitation fluctuations

2014 ◽  
Vol 36 (6) ◽  
pp. 527 ◽  
Author(s):  
Zhen Wang ◽  
Qing Zhang ◽  
Xiaoping Xin ◽  
Yong Ding ◽  
Xiangyang Hou ◽  
...  
Keyword(s):  
Plant Community ◽  
Coefficient Of Variation ◽  
Positive Relationship ◽  
Net Primary Production ◽  
Northern China ◽  
Perennial Grasses ◽  
Annual Precipitation ◽  
Typical Steppe ◽  
Grassland Ecosystems ◽  
Annual Biomass

Understanding the relationship between the aboveground net primary production (ANPP) and annual precipitation in arid and semiarid grasslands is crucial for assessing the effects of climate change on grassland ecosystems. The temporal pattern of ANPP, based on long-term data on a semiarid ecosystem in Inner Mongolia, was investigated. The biomass of perennial grasses, perennial forbs and Stipa grandis P. Smirn., showed a positive relationship with annual precipitation. The amount of annual precipitation also changed the annual biomass of 13 other dominant species and consequently the ANPP. The coefficient of variation of the ANPP of the plant community was lower than the coefficient of variation of annual precipitation. Irrespective of the strong inter-annual variation in annual precipitation, the positive relationship found between ANPP and annual precipitation suggests the dependence of ANPP upon hydrological variations in typical steppe. Our findings highlight the importance of dominant perennial species and functional groups in mediating the responses of ANPP to annual precipitation in the typical steppe in northern China.

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