scholarly journals Functional diversity drives ecosystem multifunctionality in a Pinus yunnanensis natural secondary forest

2019 ◽  
Vol 9 (1) ◽  
Author(s):  
Xiaobo Huang ◽  
Jianrong Su ◽  
Shuaifeng Li ◽  
Wande Liu ◽  
Xuedong Lang
2020 ◽  
Author(s):  
Xiaobo Huang ◽  
Shuaifeng Li ◽  
Jianrong Su

Abstract Background: The impacts of thinning on ecosystem multifunctionality (EMF) remain largely unexplored. In this study, we analyzed nine variables related to four ecosystem functions (nutrient cycling, soil carbon stocks, decomposition, and wood production) under five thinning intensities. We included a control group to evaluate the shift in EMF of a Pinus yunnanensis natural secondary forest. We also assessed the relationship between above- and belowground biodiversity and EMF under these different thinning intensities. Additionally, we evaluated the effects of biotic and abiotic factors on EMF with the structural equation model (SEM). Results: We found that EMF tended to increase with thinning intensity, and that thinning significantly improved EMF except the low intensity of thinning. Individual ecosystem functions (EFs) all had a significant positive correlation with thinning intensity. Different EFs showed different patterns with the increase of thinning intensity: the nutrient cycling and the soil carbon stock of thinning three times and five times were significantly greater than other thinning intensities and control group; decomposition correlated directly to the increase of thinning intensity; the wood production of the fourth thinning was greatest. Thinning intensity had a significant positive correlation with functional diversity and soil moisture. Both functional diversity and soil moisture had a significant positive correlation with EMF, but soil fungal operational taxonomic units (OTUs) had a significant negative correlation with EMF. Based on SEM, we found that thinning improved EMF mainly by increasing functional diversity. Conclusion: Our study both demonstrates that thinning is a good management technique from an EMF perspective, and provides an input to improve management of a P. yunnanensis natural secondary forest.


Forests ◽  
2019 ◽  
Vol 10 (6) ◽  
pp. 497
Author(s):  
Danbo Pang ◽  
Genzhu Wang ◽  
Yuguo Liu ◽  
Jianhua Cao ◽  
Long Wan ◽  
...  

Microbial functional diversity is significantly associated with both nutrient cycling and organic matter decomposition. However, how different forests as well as the soil parent materials influence the soil microbial carbon metabolism remains poorly understood. In this study, a natural secondary forest and a Pinus yunnanensis plantation, with similar climatic conditions under contrasting parent materials (clasolite in the non-karst areas and limestone in the karst areas) in Yunnan Province, China, were investigated. The soil microbial carbon metabolism diversity was assessed by the Biolog® ECO-plates. During the dry season, the soil microbial communities used carbon substrate in secondary forest and Pinus yunnanensis plantation, showing no significant difference, both in non-karst and karst areas. The microbial communities in the non-karst area were more efficient in utilizing carbon substrates than those in the karst area with the same vegetation types, resulting in the higher accumulation of organic carbon in the karst area. The six categories of most frequently utilized carbon substrates were carbohydrates, carboxylic acids, and amino acids in both the non-karst and the karst areas. The soil basal respiration of the secondary forest was higher than that of the Pinus yunnanensis plantation, both in the non-karst and the karst areas. In addition, the driving factors of the soil microbial community functional diversity in the non-karst and karst areas are different. Our findings suggest that soil microbial functional diversity is governed by vegetation types as well as by soil properties in subtropical forests. Moreover, calcareous soil holds a higher proportion of recalcitrant organic carbon, which is difficult to utilize by microorganisms.


2020 ◽  
Vol 7 (1) ◽  
Author(s):  
Xiaobo Huang ◽  
Shuaifeng Li ◽  
Jianrong Su

Abstract Background The impacts of selective logging on ecosystem multifunctionality (EMF) remain largely unexplored. In this study, we analyzed the response of nine variables related to four ecosystem functions (i.e. nutrient cycling, soil carbon stocks, decomposition, and wood production) to five selective logging intensities in a Pinus yunnanensis-dominated forest. We included a control group with no harvest to evaluate the potential shifts in EMF of the P. yunnanensis forests. We also assessed the relationship between above- and belowground biodiversity and EMF under these different selective logging intensities. Additionally, we evaluated the effects of biotic and abiotic factors on EMF using a structural equation modeling (SEM) approach. Results Individual ecosystem functions (EFs) all had a significant positive correlation with selective logging intensity. Different EFs showed different patterns with the increase of selective logging intensity. We found that EMF tended to increase with logging intensity, and that EMF significantly improved when the stand was harvested at least twice. Both functional diversity and soil moisture had a significant positive correlation with EMF, but soil fungal operational taxonomic units (OTUs) had a significant negative correlation with EMF. Based on SEM, we found that selective logging improved EMF mainly by increasing functional diversity. Conclusion Our study demonstrates that selective logging is a good management technique from an EMF perspective, and thus provide us with potential guidelines to improve forest management in P. yunnanensis forests in this region. The functional diversity is maximized through reasonable selective logging measures, so as to enhance EMF.


2020 ◽  
Author(s):  
Xiaobo Huang ◽  
Shuaifeng Li ◽  
Jianrong Su

Abstract Background: The impacts of selective logging on ecosystem multifunctionality (EMF) remain largely unexplored. In this study, we analyzed the response of nine variables related to four ecosystem functions (i.e. nutrient cycling, soil carbon stocks, decomposition, and wood production) to five selective logging intensities in a Pinus yunnanensis-dominated forest. We included a control group with no harvest to evaluate the potential shifts in EMF of the P. yunnanensis forests. We also assessed the relationship between above- and belowground biodiversity and EMF under these different selective logging intensities. Additionally, we evaluated the effects of biotic and abiotic factors on EMF using a structural equation modeling (SEM) approach. Results: Individual ecosystem functions (EFs) all had a significant positive correlation with selective logging intensity. Different EFs showed different patterns with the increase of selective logging intensity. We found that EMF tended to increase with logging intensity, and that EMF significantly improved when the stand was harvested at least twice. Both functional diversity and soil moisture had a significant positive correlation with EMF, but soil fungal operational taxonomic units (OTUs) had a significant negative correlation with EMF. Based on SEM, we found that selective logging improved EMF mainly by increasing functional diversity. Conclusion: Our study demonstrates that selective logging is a good management technique from an EMF perspective, and thus provide us with potential guidelines to improve forest management in P. yunnanensis forests in this region. The functional diversity is maximized through reasonable selective logging measures, so as to enhance EMF.


2014 ◽  
Vol 34 (3) ◽  
Author(s):  
范春楠 FAN Chunnan ◽  
郭忠玲 GUO Zhongling ◽  
郑金萍 ZHENG Jinping ◽  
李兵 LI Bing ◽  
杨保国 YANG Baoguo ◽  
...  

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