Net Primary Productivity of <i>Pinus massoniana</i> Dependence on Climate, Soil and Forest Characteristics
Understanding the spatial variation of forest productivity and its driving factors on a large regional scale can help reveal the response mechanism of tree growth to climate change, and is an important prerequisite for efficient forest management and studying regional and global carbon cycles. <i...
Main Authors: | , , , , |
---|---|
Format: | Article |
Language: | English |
Published: |
MDPI AG
2020-04-01
|
Series: | Forests |
Subjects: | |
Online Access: | https://www.mdpi.com/1999-4907/11/4/404 |
id |
doaj-6d3e565dea8b4da18ad2f983c07ccf8f |
---|---|
record_format |
Article |
spelling |
doaj-6d3e565dea8b4da18ad2f983c07ccf8f2020-11-25T02:26:27ZengMDPI AGForests1999-49072020-04-011140440410.3390/f11040404Net Primary Productivity of <i>Pinus massoniana</i> Dependence on Climate, Soil and Forest CharacteristicsXin Huang0Chunbo Huang1Mingjun Teng2Zhixiang Zhou3Pengcheng Wang4College of Horticulture and Forestry Sciences/Hubei Engineering Technology Research Center for Forestry Information, Huazhong Agricultural University, Wuhan 430070, ChinaSchool of Geography and Information Engineering, China University of Geosciences, Wuhan 430074, ChinaCollege of Horticulture and Forestry Sciences/Hubei Engineering Technology Research Center for Forestry Information, Huazhong Agricultural University, Wuhan 430070, ChinaCollege of Horticulture and Forestry Sciences/Hubei Engineering Technology Research Center for Forestry Information, Huazhong Agricultural University, Wuhan 430070, ChinaCollege of Horticulture and Forestry Sciences/Hubei Engineering Technology Research Center for Forestry Information, Huazhong Agricultural University, Wuhan 430070, ChinaUnderstanding the spatial variation of forest productivity and its driving factors on a large regional scale can help reveal the response mechanism of tree growth to climate change, and is an important prerequisite for efficient forest management and studying regional and global carbon cycles. <i>Pinus massoniana</i> Lamb. is a major planted tree species in southern China, playing an important role in the development of forestry due to its high economic and ecological benefits. Here, we establish a biomass database for <i>P. massoniana</i>, including stems, branches, leaves, roots, aboveground organs and total tree, by collecting the published literature, to increase our understanding of net primary productivity (NPP) geographical trends for each tree component and their influencing factors across the entire geographical distribution of the species in southern China. <i>P. massoniana</i> NPP ranges from 1.04 to 13.13 Mg·ha<sup>−1</sup>·year<sup>−1</sup>, with a mean value of 5.65 Mg·ha<sup>−1</sup>·year<sup>−1</sup>. The NPP of both tree components (i.e., stem, branch, leaf, root, aboveground organs, and total tree) show no clear relationships with longitude and elevation, but an inverse relationship with latitude (<i>p</i> < 0.01). Linear mixed-effects models (LMMs) are employed to analyze the effect of environmental factors and stand characteristics on <i>P. massoniana</i> NPP. LMM results reveal that the NPP of different tree components have different sensitivities to environmental and stand variables. Appropriate temperature and soil nutrients (particularly soil available phosphorus) are beneficial to biomass accumulation of this species. It is worth noting that the high temperature in July and August (HTWM) is a significant climate stressor across the species geographical distribution and is not restricted to marginal populations in the low latitude area. Temperature was a key environmental factor behind the inverse latitudinal trends of <i>P. massoniana</i> NPP, because it showed a higher sensitivity than other factors. In the context of climate warming and nitrogen (N) deposition, the inhibition effect caused by high temperatures and the lack or imbalance of soil nutrients, particularly soil phosphorus, should be paid more attention in the future. These findings advance our understanding about the factors influencing the productivity of each <i>P. massoniana</i> tree component across the full geographical distribution of the species, and are therefore valuable for forecasting climate-induced variation in forest productivity.https://www.mdpi.com/1999-4907/11/4/404net primary productivity<i>Pinus massoniana</i>geographical gradientenvironmental factorsstand characteristicsregional scale |
collection |
DOAJ |
language |
English |
format |
Article |
sources |
DOAJ |
author |
Xin Huang Chunbo Huang Mingjun Teng Zhixiang Zhou Pengcheng Wang |
spellingShingle |
Xin Huang Chunbo Huang Mingjun Teng Zhixiang Zhou Pengcheng Wang Net Primary Productivity of <i>Pinus massoniana</i> Dependence on Climate, Soil and Forest Characteristics Forests net primary productivity <i>Pinus massoniana</i> geographical gradient environmental factors stand characteristics regional scale |
author_facet |
Xin Huang Chunbo Huang Mingjun Teng Zhixiang Zhou Pengcheng Wang |
author_sort |
Xin Huang |
title |
Net Primary Productivity of <i>Pinus massoniana</i> Dependence on Climate, Soil and Forest Characteristics |
title_short |
Net Primary Productivity of <i>Pinus massoniana</i> Dependence on Climate, Soil and Forest Characteristics |
title_full |
Net Primary Productivity of <i>Pinus massoniana</i> Dependence on Climate, Soil and Forest Characteristics |
title_fullStr |
Net Primary Productivity of <i>Pinus massoniana</i> Dependence on Climate, Soil and Forest Characteristics |
title_full_unstemmed |
Net Primary Productivity of <i>Pinus massoniana</i> Dependence on Climate, Soil and Forest Characteristics |
title_sort |
net primary productivity of <i>pinus massoniana</i> dependence on climate, soil and forest characteristics |
publisher |
MDPI AG |
series |
Forests |
issn |
1999-4907 |
publishDate |
2020-04-01 |
description |
Understanding the spatial variation of forest productivity and its driving factors on a large regional scale can help reveal the response mechanism of tree growth to climate change, and is an important prerequisite for efficient forest management and studying regional and global carbon cycles. <i>Pinus massoniana</i> Lamb. is a major planted tree species in southern China, playing an important role in the development of forestry due to its high economic and ecological benefits. Here, we establish a biomass database for <i>P. massoniana</i>, including stems, branches, leaves, roots, aboveground organs and total tree, by collecting the published literature, to increase our understanding of net primary productivity (NPP) geographical trends for each tree component and their influencing factors across the entire geographical distribution of the species in southern China. <i>P. massoniana</i> NPP ranges from 1.04 to 13.13 Mg·ha<sup>−1</sup>·year<sup>−1</sup>, with a mean value of 5.65 Mg·ha<sup>−1</sup>·year<sup>−1</sup>. The NPP of both tree components (i.e., stem, branch, leaf, root, aboveground organs, and total tree) show no clear relationships with longitude and elevation, but an inverse relationship with latitude (<i>p</i> < 0.01). Linear mixed-effects models (LMMs) are employed to analyze the effect of environmental factors and stand characteristics on <i>P. massoniana</i> NPP. LMM results reveal that the NPP of different tree components have different sensitivities to environmental and stand variables. Appropriate temperature and soil nutrients (particularly soil available phosphorus) are beneficial to biomass accumulation of this species. It is worth noting that the high temperature in July and August (HTWM) is a significant climate stressor across the species geographical distribution and is not restricted to marginal populations in the low latitude area. Temperature was a key environmental factor behind the inverse latitudinal trends of <i>P. massoniana</i> NPP, because it showed a higher sensitivity than other factors. In the context of climate warming and nitrogen (N) deposition, the inhibition effect caused by high temperatures and the lack or imbalance of soil nutrients, particularly soil phosphorus, should be paid more attention in the future. These findings advance our understanding about the factors influencing the productivity of each <i>P. massoniana</i> tree component across the full geographical distribution of the species, and are therefore valuable for forecasting climate-induced variation in forest productivity. |
topic |
net primary productivity <i>Pinus massoniana</i> geographical gradient environmental factors stand characteristics regional scale |
url |
https://www.mdpi.com/1999-4907/11/4/404 |
work_keys_str_mv |
AT xinhuang netprimaryproductivityofipinusmassonianaidependenceonclimatesoilandforestcharacteristics AT chunbohuang netprimaryproductivityofipinusmassonianaidependenceonclimatesoilandforestcharacteristics AT mingjunteng netprimaryproductivityofipinusmassonianaidependenceonclimatesoilandforestcharacteristics AT zhixiangzhou netprimaryproductivityofipinusmassonianaidependenceonclimatesoilandforestcharacteristics AT pengchengwang netprimaryproductivityofipinusmassonianaidependenceonclimatesoilandforestcharacteristics |
_version_ |
1724847029021048832 |