China’s forests cover 208.3 million ha and span a wide range of climates and a large variety of forest types including tropical,temperate,and boreal forests.However the variation patterns of fine root(<2 mm in dia...China’s forests cover 208.3 million ha and span a wide range of climates and a large variety of forest types including tropical,temperate,and boreal forests.However the variation patterns of fine root(<2 mm in diameter biomass,production,and turnover from the south to the north are unclear.This study summarizes fine root biomass(FRB),production(FRP)and turnover rate(FRT)in Chi na’s forests as reported by 140 case studies published from 1983 to 2014.The results showed that the mean values o FRB,FRP and FRT in China’s forests were 278 gm^(-2)366 gm^(-2)a^(-1),and 1.19 a^(-1),respectively.Compared with other studies at the regional or global scales,FRB in China’s forests was lower,FRP was similar to estimates a the global scale,but FRT was much higher.FRB,FRP,and FRT in China’s forests increased with increasing mean annual precipitation(MAP),indicating that fine root vari ables were likely related to MAP,rather than mean annua temperature or latitude.This is possibly due to the smal variation in temperature but greater variation in precipitation during the growing season.These findings suggest that spatiotemporal variation in precipitation has a more profound impact on fine root dynamics in China’s forests,and this will impact carbon and nutrient cycles driven by root turnover in the future.展开更多
Environmental heterogeneity is a constant presence in the natural world that significantly affects plant behavior at a variety of levels of complexity. In order to estimate the spatial pattern of fine root biomass in ...Environmental heterogeneity is a constant presence in the natural world that significantly affects plant behavior at a variety of levels of complexity. In order to estimate the spatial pattern of fine root biomass in the Three Gorges Reservoir Area, the spatial heterogeneity of fine root biomass in the upper layer of soils (0-10 cm) in three Masson pine (Pinus massoniana) stands in the Three Gorges Reservoir Area, China, was studied in 30 m × 30 m plots with geostatistical analysis. The results indicate that 1) both the live and dead fine root biomass of stand 2 were less than those of other stands, 2) the spatial variation of fine roots in the three stands was caused together by structural and random factors with moderate spatial dependence and 3) the magnitude of spatial heterogeneity of live fine roots ranked as: stand 3 > stand 1 > stand 2, while that of dead fine roots was similar in the three stands. These findings suggested that the range of spatial autocorrelation for fine root biomass varied considerably in the Three Gorges Reservoir Area, while soil properties, such as soil bulk density, organic matter and total nitrogen, may exhibit great effect on the spatial distribution of fine roots. Finally, we express our hope to be able to carry out further research on the quantitative relationship between the spatial heterogeneous patterns of plant and soil properties.展开更多
Aims Soil respiration(Rs)is a major process controlling soil carbon loss in forest ecosystems.However,the underlying mechanisms leading to variation in Rs along forest successional gradients are not well understood.In...Aims Soil respiration(Rs)is a major process controlling soil carbon loss in forest ecosystems.However,the underlying mechanisms leading to variation in Rs along forest successional gradients are not well understood.In this study,we investigated the effects of biotic and abiotic factors on Rs along a forest successional gradient in southeast China.Methods We selected 16 plots stratified by forest age,ranging from 20 to 120 years.In each plot,six shallow collars and six deep collars were permanently inserted into the soil.Shallow and deep collars were used to measure Rs and heterotrophic respiration(Rh),respectively.Autotrophic soil respiration(Ra)was estimated as the difference between Rs and Rh.Litter layer respiration(R_(L))was calculated by subtracting soil respiration measured in collars without leaf litter layer(R_(NL))from Rs.Rs was measured every 2 months,and soil temperature(ST)and soil volumetric water content(SVWC)were recorded every hour for 19 months.We calculated daily Rs using an exponential model dependent on ST.Daily Rs was summed to obtain cumulative annual Rs estimates.Structural equation modelling(SEM)was applied to identify the drivers of Rs during forest succession.Important Findings Rs showed significant differences among three successive stages,and it was the highest in the young stage.Ra was higher in the young stage than in the medium stage.Cumulative annual Rs and Ra peaked in the young and old stages,respectively.Cumulative annual Rh and respiration measured from soil organic matter(R_(SOM))decreased,whereas R_(L)increased with forest age.The SEM revealed that cumulative annual Rs was influenced by fine root biomass and SVWC.Our results indicated that the dominant force regulating Rs on a seasonal scale is ST;however,on a successional scale,belowground carbon emerges as the dominant influential factor.展开更多
Fine root turnover is a major pathway for carbon and nutrient cycling in terrestrial ecosystems and is most likely sensitive to many global change factors.Despite the importance of fine root turnover in plant C alloca...Fine root turnover is a major pathway for carbon and nutrient cycling in terrestrial ecosystems and is most likely sensitive to many global change factors.Despite the importance of fine root turnover in plant C allocation and nutrient cycling dynamics and the tremendous research efforts in the past,our understanding of it remains limited.This is because the dynamics processes associated with soil resources availability are still poorly understood.Soil moisture,temperature,and available nitrogen are the most important soil characteristics that impact fine root growth and mortality at both the individual root branch and at the ecosystem level.In temperate forest ecosystems,seasonal changes of soil resource availability will alter the pattern of carbon allocation to belowground.Therefore,fine root biomass,root length density(RLD)and specific root length(SRL)vary during the growing season.Studying seasonal changes of fine root biomass,RLD,and SRL associated with soil resource availability will help us understand the mechanistic controls of carbon to fine root longevity and turnover.The objective of this study was to understand whether seasonal variations of fine root biomass,RLD and SRL were associated with soil resource availability,such as moisture,temperature,and nitrogen,and to understand how these soil components impact fine root dynamics in Larix gmelinii plantation.We used a soil coring method to obtain fine root samples(≤2 mm in diameter)every month from May to October in 2002 from a 17-year-old L.gmelinii plantation in Maoershan Experiment Station,Northeast Forestry University,China.Seventy-two soil cores(inside diameter 60 mm;depth intervals:0-10 cm,10-20 cm,20-30 cm)were sampled randomly from three replicates 25 m×30 m plots to estimate fine root biomass(live and dead),and calculate RLD and SRL.Soil moisture,temperature,and nitrogen(ammonia and nitrates)at three depth intervals were also analyzed in these plots.Results showed that the average standing fine root biomass(live and dead)was 189.1 g·m^(-2)·a^(-1),50%(95.4 g·m^(-2)·a^(-1))in the surface soil layer(0-10 cm),33%(61.5 g·m^(-2)·a^(-1)),17%(32.2 g·m^(-2)·a^(-1))in the middle(10-20 cm)and deep layer(20-30cm),respectively.Live and dead fine root biomass was the highest from May to July and in September,but lower in August and October.The live fine root biomass decreased and dead biomass increased during the growing season.Mean RLD(7,411.56 m·m^(-3)·a^(-1))and SRL(10.83 m·g^(-1)·a^(-1))in the surface layer were higher than RLD(1474.68 m·m^(-3)·a^(-1))and SRL(8.56 m·g^(-1)·a^(-1))in the deep soil layer.RLD and SRL in May were the highest(10621.45 m·m^(-3) and 14.83m·g^(-1))compared with those in the other months,and RLD was the lowest in September(2198.20 m·m^(-3))and SRL in October(3.77 m·g^(-1)).Seasonal dynamics of fine root biomass,RLD,and SRL showed a close relationship with changes in soil moisture,temperature,and nitrogen availability.To a lesser extent,the temperature could be determined by regression analysis.Fine roots in the upper soil layer have a function of absorbing moisture and nutrients,while the main function of deeper soil may be moisture uptake rather than nutrient acquisition.Therefore,carbon allocation to roots in the upper soil layer and deeper soil layer was different.Multiple regression analysis showed that variation in soil resource availability could explain 71-73%of the seasonal variation of RLD and SRL and 58%of the variation in fine root biomass.These results suggested a greater metabolic activity of fine roots living in soil with higher resource availability,which resulted in an increased allocation of carbohydrate to these roots,but a lower allocation of carbohydrate to those in soil with lower resource availability.展开更多
The belowground biomass is represented by coarse and fine roots. Concentrated in the superficial horizons of the soil, the fine roots play a crucial role in the functioning of a forest ecosystem. However, studies on t...The belowground biomass is represented by coarse and fine roots. Concentrated in the superficial horizons of the soil, the fine roots play a crucial role in the functioning of a forest ecosystem. However, studies on their dynamics in natural forests are almost non-existent in the Republic of Congo. Here, we estimated the biomass, production, turnover and fine root lifespan of two forest strata of a semi-deciduous forest: the <i><span style="font-family:Verdana;">Gilbertiodendron dewevrei</span></i><span style="font-family:Verdana;"> (De Wild.) J. Léonard forest (GF) and the mixed forest (MF) of land. The ingrowth cores method was used to estimate the biomass, production, turnover and lifespan of fine roots. The results of this study revealed that the biomass, production and fine root turnover of the two forest strata studied significantly decreased with increasing soil depth, with an increase in lifespan. The annual fine root biomass of GF (2284.50 ± 37.62 <img src="Edit_990c94b6-013e-4e21-90df-d1388dc0e65f.png" alt="" /></span><span style="font-family:Verdana;"> and 1034.61 ± 14.52 <img src="Edit_dff42540-5a2f-413b-8620-cb500e9961e2.png" alt="" /></span><span style="font-family:Verdana;">) was slightly lower than that of MF (2430.07 ± 40.68 <img src="Edit_66800589-8460-4c37-83b2-2df0f335d75d.png" alt="" /></span><span style="font-family:Verdana;"> and 1043.10 ± 11.75 <img src="Edit_c22f255e-d910-4b49-a6a4-033516044362.png" alt="" /></span><span style="font-family:Verdana;">) in the 0-15 cm and 15-30 cm horizons, respectively. The annual production of fine roots from these latter horizons was respectively 1300.19 ± 32.17 <img src="Edit_5482204b-8e9e-476a-907d-0865bf3a1c99.png" alt="" /></span><span style="font-family:Verdana;"> and 539.18 ± 11.55 <img src="Edit_65a2856e-5322-4fc9-b42a-3ba1176fa992.png" alt="" /></span><span style="font-family:Verdana;"> in GF and 1362.24 ± 39.59 <img src="Edit_9802e464-658d-48eb-9b57-8e746c3e8ef4.png" alt="" /></span><span style="font-family:Verdana;"> and 492.95 ± 14.38 <img src="Edit_51413fca-930c-45b9-a385-2b55d4d2bac8.png" alt="" /></span><span style="font-family:Verdana;"> in the MF. Root turnover was higher in the GF (1.68 ± 0.05 <img src="Edit_ce9d780c-6a46-46c4-aad2-653309318e29.png" alt="" /></span><span style="font-family:Verdana;"> and 1.35 ± 0.03 <img src="Edit_d66d8b7b-c608-4398-9441-e85547f03dea.png" alt="" /></span><span style="font-family:Verdana;">) than in the MF (1.57 ± 0.05 <img src="Edit_cb79094f-88a0-401c-a3e7-06eedb2cef9a.png" alt="" /></span><span style="font-family:Verdana;"> and 1.13 ± 0.02 <img src="Edit_e4f9b6d7-2e2e-44d5-8662-862b8f8ff80e.png" alt="" /></span><span style="font-family:Verdana;">). The lifespan of fine roots increased with the depth of the soil. The difference in fine root dynamics observed between the forest strata studied was influenced by the Evenness index and the above-ground biomass.</span>展开更多
This study quantifies biomass, aboveground and belowground net productivity, along with additional environmental factors over a 2-3 year period in Barnawapara Sanctuary of Chhattisgarh, India through satellite remotes...This study quantifies biomass, aboveground and belowground net productivity, along with additional environmental factors over a 2-3 year period in Barnawapara Sanctuary of Chhattisgarh, India through satellite remotesensing and GIS techniques. Ten sampling quadrates20×20, 5×5 and 1×1 m were randomly laid for overstorey (OS), understorey (US) and ground vegetation(GS), respectively. Girth of trees was measured at breast height and collar diameters of shrubs and herbs at 0.1 m height. Biomass was estimated using allometric regression equations and herb biomass by harvesting. Net primary productivity (NPP) was determined by Ssumming biomass increment and litter crop values. Aspect and slope influenced the vegetation types, biomass and NPP in different forests. Standing biomass and NPP varied from 18.6 to101.5 Mg ha^(-1) and 5.3 to 12.7 Mg ha^(-1) a^(-1), respectively,in different forest types. The highest biomass was found in dense mixed forest, while net production recoded in Teak forests. Both were lowest in degraded mixed forests of different forest types. OS, US and GS contributed 90.4, 8.7and 0.7%, respectively, for the total mean standing biomass in different forests. This study developed spectral models for the estimation of biomass and NPP using Normalized Difference Vegetation Index and other vegetation indices.The study demonstrated the potential of geospatial tools for estimation of biomass and net productivity of dry tropical forest ecosystem.展开更多
Under conditions of a warmer climate,the advance of the alpine treeline into alpine tundra has implications for carbon dynamics in mountain ecosystems.However,the above- and below-ground live biomass allocations among...Under conditions of a warmer climate,the advance of the alpine treeline into alpine tundra has implications for carbon dynamics in mountain ecosystems.However,the above- and below-ground live biomass allocations among different vegetation types within the treeline ecotones are not well investigated.To determine the altitudinal patterns of above-/below-ground carbon allocation,we measured the root biomass and estimated the above-ground biomass(AGB) in a subalpine forest,treeline forest,alpine shrub,and alpine grassland along two elevational transects towards the alpine tundra in southeast Tibet.The AGB strongly declined with increasing elevation,which was associated with a decrease in the leaf area index and a consequent reduction in carbon gain.The fine root biomass(FRB) increased significantly more in the alpine shrub and grassland than in the treeline forest,whereas the coarse root biomass changed little with increasing altitudes,which led to a stable below-ground biomass(BGB) value across altitudes.Warm and infertile soil conditions might explain the large amount of FRB in alpine shrub and grassland.Consequently,the root toshoot biomass ratio increased sharply with altitude,which suggested a remarkable shift of biomass allocation to root systems near the alpine tundra.Our findings demonstrate contrasting changes in AGB and BGB allocations across treeline ecotones,which should be considered when estimating carbon dynamics with shifting treelines.展开更多
Gangetic alluvial plain in north India constitutes significant proportions of barren sodic lands. A representative site, where afforestation was carried out during 1960s to rehabilitate the site under forest ecosystem...Gangetic alluvial plain in north India constitutes significant proportions of barren sodic lands. A representative site, where afforestation was carried out during 1960s to rehabilitate the site under forest ecosystem, was selected to assess the restoration success. Three stands (S1, S2, and S3) were selected in a semi-natural subtropical forest at Banthra, Lucknow (26°45’ N, 80°53’ E) on the basis of different vegetation morphology and basal area gradient. Species composition and their growth forms were studied in overstory, understory and ground layer vegetation, in which dominants were assorted. Among the dominants few species were common in the three stands as also in different strata, which perhaps indicate their natural regeneration. Classification of individuals among the different size classes indicated ‘L’ shape distribution in which most of the individuals remained confined in younger groups. Biomass increased from the stand S1 to S3 stand in overstory, and vise versa for understory. Stand S2 consisted of predominance of ground layer biomass over the other stands. Biomass allocation in different plant components differed significantly between the overstory and understory for aerial woody components (stem and branch). Annual litter fall did not differ significantly among the stands, where as fine root biomass (up to 45 cm soil depth) decreased from S1 to S3 stands. Rainy and summer seasons contributed to two-third proportion of total annual fine root production. The state of this rehabilitated forest when compared with the degraded and reference forest of the region indicated that structural complexity, biomass and production levels have been achieved to 70% of the reference forest site even after having a different species composition.展开更多
基金supported by Grants from the National Key Research and Development Program of China(2016YFD06004040604)the Natural Science Foundation of Heilongjiang Province(No.C2016004)
文摘China’s forests cover 208.3 million ha and span a wide range of climates and a large variety of forest types including tropical,temperate,and boreal forests.However the variation patterns of fine root(<2 mm in diameter biomass,production,and turnover from the south to the north are unclear.This study summarizes fine root biomass(FRB),production(FRP)and turnover rate(FRT)in Chi na’s forests as reported by 140 case studies published from 1983 to 2014.The results showed that the mean values o FRB,FRP and FRT in China’s forests were 278 gm^(-2)366 gm^(-2)a^(-1),and 1.19 a^(-1),respectively.Compared with other studies at the regional or global scales,FRB in China’s forests was lower,FRP was similar to estimates a the global scale,but FRT was much higher.FRB,FRP,and FRT in China’s forests increased with increasing mean annual precipitation(MAP),indicating that fine root vari ables were likely related to MAP,rather than mean annua temperature or latitude.This is possibly due to the smal variation in temperature but greater variation in precipitation during the growing season.These findings suggest that spatiotemporal variation in precipitation has a more profound impact on fine root dynamics in China’s forests,and this will impact carbon and nutrient cycles driven by root turnover in the future.
基金supported by the Special Fund of National Forestry Public Welfare of the State Forestry Administration (No.201104008)a Special Fund of the Research Institute of Forest Ecology, Environment and Protection of the Chinese Academy of Forestry, China (No. CAFRIFEEP201006)
文摘Environmental heterogeneity is a constant presence in the natural world that significantly affects plant behavior at a variety of levels of complexity. In order to estimate the spatial pattern of fine root biomass in the Three Gorges Reservoir Area, the spatial heterogeneity of fine root biomass in the upper layer of soils (0-10 cm) in three Masson pine (Pinus massoniana) stands in the Three Gorges Reservoir Area, China, was studied in 30 m × 30 m plots with geostatistical analysis. The results indicate that 1) both the live and dead fine root biomass of stand 2 were less than those of other stands, 2) the spatial variation of fine roots in the three stands was caused together by structural and random factors with moderate spatial dependence and 3) the magnitude of spatial heterogeneity of live fine roots ranked as: stand 3 > stand 1 > stand 2, while that of dead fine roots was similar in the three stands. These findings suggested that the range of spatial autocorrelation for fine root biomass varied considerably in the Three Gorges Reservoir Area, while soil properties, such as soil bulk density, organic matter and total nitrogen, may exhibit great effect on the spatial distribution of fine roots. Finally, we express our hope to be able to carry out further research on the quantitative relationship between the spatial heterogeneous patterns of plant and soil properties.
基金EU 7th FP Project BACCARA(226299)and the National Basic Research Program of China(2014CB954004).
文摘Aims Soil respiration(Rs)is a major process controlling soil carbon loss in forest ecosystems.However,the underlying mechanisms leading to variation in Rs along forest successional gradients are not well understood.In this study,we investigated the effects of biotic and abiotic factors on Rs along a forest successional gradient in southeast China.Methods We selected 16 plots stratified by forest age,ranging from 20 to 120 years.In each plot,six shallow collars and six deep collars were permanently inserted into the soil.Shallow and deep collars were used to measure Rs and heterotrophic respiration(Rh),respectively.Autotrophic soil respiration(Ra)was estimated as the difference between Rs and Rh.Litter layer respiration(R_(L))was calculated by subtracting soil respiration measured in collars without leaf litter layer(R_(NL))from Rs.Rs was measured every 2 months,and soil temperature(ST)and soil volumetric water content(SVWC)were recorded every hour for 19 months.We calculated daily Rs using an exponential model dependent on ST.Daily Rs was summed to obtain cumulative annual Rs estimates.Structural equation modelling(SEM)was applied to identify the drivers of Rs during forest succession.Important Findings Rs showed significant differences among three successive stages,and it was the highest in the young stage.Ra was higher in the young stage than in the medium stage.Cumulative annual Rs and Ra peaked in the young and old stages,respectively.Cumulative annual Rh and respiration measured from soil organic matter(R_(SOM))decreased,whereas R_(L)increased with forest age.The SEM revealed that cumulative annual Rs was influenced by fine root biomass and SVWC.Our results indicated that the dominant force regulating Rs on a seasonal scale is ST;however,on a successional scale,belowground carbon emerges as the dominant influential factor.
基金supported by the National Natural Science Foundation of China (No.30130160).
文摘Fine root turnover is a major pathway for carbon and nutrient cycling in terrestrial ecosystems and is most likely sensitive to many global change factors.Despite the importance of fine root turnover in plant C allocation and nutrient cycling dynamics and the tremendous research efforts in the past,our understanding of it remains limited.This is because the dynamics processes associated with soil resources availability are still poorly understood.Soil moisture,temperature,and available nitrogen are the most important soil characteristics that impact fine root growth and mortality at both the individual root branch and at the ecosystem level.In temperate forest ecosystems,seasonal changes of soil resource availability will alter the pattern of carbon allocation to belowground.Therefore,fine root biomass,root length density(RLD)and specific root length(SRL)vary during the growing season.Studying seasonal changes of fine root biomass,RLD,and SRL associated with soil resource availability will help us understand the mechanistic controls of carbon to fine root longevity and turnover.The objective of this study was to understand whether seasonal variations of fine root biomass,RLD and SRL were associated with soil resource availability,such as moisture,temperature,and nitrogen,and to understand how these soil components impact fine root dynamics in Larix gmelinii plantation.We used a soil coring method to obtain fine root samples(≤2 mm in diameter)every month from May to October in 2002 from a 17-year-old L.gmelinii plantation in Maoershan Experiment Station,Northeast Forestry University,China.Seventy-two soil cores(inside diameter 60 mm;depth intervals:0-10 cm,10-20 cm,20-30 cm)were sampled randomly from three replicates 25 m×30 m plots to estimate fine root biomass(live and dead),and calculate RLD and SRL.Soil moisture,temperature,and nitrogen(ammonia and nitrates)at three depth intervals were also analyzed in these plots.Results showed that the average standing fine root biomass(live and dead)was 189.1 g·m^(-2)·a^(-1),50%(95.4 g·m^(-2)·a^(-1))in the surface soil layer(0-10 cm),33%(61.5 g·m^(-2)·a^(-1)),17%(32.2 g·m^(-2)·a^(-1))in the middle(10-20 cm)and deep layer(20-30cm),respectively.Live and dead fine root biomass was the highest from May to July and in September,but lower in August and October.The live fine root biomass decreased and dead biomass increased during the growing season.Mean RLD(7,411.56 m·m^(-3)·a^(-1))and SRL(10.83 m·g^(-1)·a^(-1))in the surface layer were higher than RLD(1474.68 m·m^(-3)·a^(-1))and SRL(8.56 m·g^(-1)·a^(-1))in the deep soil layer.RLD and SRL in May were the highest(10621.45 m·m^(-3) and 14.83m·g^(-1))compared with those in the other months,and RLD was the lowest in September(2198.20 m·m^(-3))and SRL in October(3.77 m·g^(-1)).Seasonal dynamics of fine root biomass,RLD,and SRL showed a close relationship with changes in soil moisture,temperature,and nitrogen availability.To a lesser extent,the temperature could be determined by regression analysis.Fine roots in the upper soil layer have a function of absorbing moisture and nutrients,while the main function of deeper soil may be moisture uptake rather than nutrient acquisition.Therefore,carbon allocation to roots in the upper soil layer and deeper soil layer was different.Multiple regression analysis showed that variation in soil resource availability could explain 71-73%of the seasonal variation of RLD and SRL and 58%of the variation in fine root biomass.These results suggested a greater metabolic activity of fine roots living in soil with higher resource availability,which resulted in an increased allocation of carbohydrate to these roots,but a lower allocation of carbohydrate to those in soil with lower resource availability.
文摘The belowground biomass is represented by coarse and fine roots. Concentrated in the superficial horizons of the soil, the fine roots play a crucial role in the functioning of a forest ecosystem. However, studies on their dynamics in natural forests are almost non-existent in the Republic of Congo. Here, we estimated the biomass, production, turnover and fine root lifespan of two forest strata of a semi-deciduous forest: the <i><span style="font-family:Verdana;">Gilbertiodendron dewevrei</span></i><span style="font-family:Verdana;"> (De Wild.) J. Léonard forest (GF) and the mixed forest (MF) of land. The ingrowth cores method was used to estimate the biomass, production, turnover and lifespan of fine roots. The results of this study revealed that the biomass, production and fine root turnover of the two forest strata studied significantly decreased with increasing soil depth, with an increase in lifespan. The annual fine root biomass of GF (2284.50 ± 37.62 <img src="Edit_990c94b6-013e-4e21-90df-d1388dc0e65f.png" alt="" /></span><span style="font-family:Verdana;"> and 1034.61 ± 14.52 <img src="Edit_dff42540-5a2f-413b-8620-cb500e9961e2.png" alt="" /></span><span style="font-family:Verdana;">) was slightly lower than that of MF (2430.07 ± 40.68 <img src="Edit_66800589-8460-4c37-83b2-2df0f335d75d.png" alt="" /></span><span style="font-family:Verdana;"> and 1043.10 ± 11.75 <img src="Edit_c22f255e-d910-4b49-a6a4-033516044362.png" alt="" /></span><span style="font-family:Verdana;">) in the 0-15 cm and 15-30 cm horizons, respectively. The annual production of fine roots from these latter horizons was respectively 1300.19 ± 32.17 <img src="Edit_5482204b-8e9e-476a-907d-0865bf3a1c99.png" alt="" /></span><span style="font-family:Verdana;"> and 539.18 ± 11.55 <img src="Edit_65a2856e-5322-4fc9-b42a-3ba1176fa992.png" alt="" /></span><span style="font-family:Verdana;"> in GF and 1362.24 ± 39.59 <img src="Edit_9802e464-658d-48eb-9b57-8e746c3e8ef4.png" alt="" /></span><span style="font-family:Verdana;"> and 492.95 ± 14.38 <img src="Edit_51413fca-930c-45b9-a385-2b55d4d2bac8.png" alt="" /></span><span style="font-family:Verdana;"> in the MF. Root turnover was higher in the GF (1.68 ± 0.05 <img src="Edit_ce9d780c-6a46-46c4-aad2-653309318e29.png" alt="" /></span><span style="font-family:Verdana;"> and 1.35 ± 0.03 <img src="Edit_d66d8b7b-c608-4398-9441-e85547f03dea.png" alt="" /></span><span style="font-family:Verdana;">) than in the MF (1.57 ± 0.05 <img src="Edit_cb79094f-88a0-401c-a3e7-06eedb2cef9a.png" alt="" /></span><span style="font-family:Verdana;"> and 1.13 ± 0.02 <img src="Edit_e4f9b6d7-2e2e-44d5-8662-862b8f8ff80e.png" alt="" /></span><span style="font-family:Verdana;">). The lifespan of fine roots increased with the depth of the soil. The difference in fine root dynamics observed between the forest strata studied was influenced by the Evenness index and the above-ground biomass.</span>
文摘This study quantifies biomass, aboveground and belowground net productivity, along with additional environmental factors over a 2-3 year period in Barnawapara Sanctuary of Chhattisgarh, India through satellite remotesensing and GIS techniques. Ten sampling quadrates20×20, 5×5 and 1×1 m were randomly laid for overstorey (OS), understorey (US) and ground vegetation(GS), respectively. Girth of trees was measured at breast height and collar diameters of shrubs and herbs at 0.1 m height. Biomass was estimated using allometric regression equations and herb biomass by harvesting. Net primary productivity (NPP) was determined by Ssumming biomass increment and litter crop values. Aspect and slope influenced the vegetation types, biomass and NPP in different forests. Standing biomass and NPP varied from 18.6 to101.5 Mg ha^(-1) and 5.3 to 12.7 Mg ha^(-1) a^(-1), respectively,in different forest types. The highest biomass was found in dense mixed forest, while net production recoded in Teak forests. Both were lowest in degraded mixed forests of different forest types. OS, US and GS contributed 90.4, 8.7and 0.7%, respectively, for the total mean standing biomass in different forests. This study developed spectral models for the estimation of biomass and NPP using Normalized Difference Vegetation Index and other vegetation indices.The study demonstrated the potential of geospatial tools for estimation of biomass and net productivity of dry tropical forest ecosystem.
基金supported by the National Natural Science Foundation of China (41561011)the Natural Science Foundation of Jiangxi Province, China (20151BAB213029)
文摘Under conditions of a warmer climate,the advance of the alpine treeline into alpine tundra has implications for carbon dynamics in mountain ecosystems.However,the above- and below-ground live biomass allocations among different vegetation types within the treeline ecotones are not well investigated.To determine the altitudinal patterns of above-/below-ground carbon allocation,we measured the root biomass and estimated the above-ground biomass(AGB) in a subalpine forest,treeline forest,alpine shrub,and alpine grassland along two elevational transects towards the alpine tundra in southeast Tibet.The AGB strongly declined with increasing elevation,which was associated with a decrease in the leaf area index and a consequent reduction in carbon gain.The fine root biomass(FRB) increased significantly more in the alpine shrub and grassland than in the treeline forest,whereas the coarse root biomass changed little with increasing altitudes,which led to a stable below-ground biomass(BGB) value across altitudes.Warm and infertile soil conditions might explain the large amount of FRB in alpine shrub and grassland.Consequently,the root toshoot biomass ratio increased sharply with altitude,which suggested a remarkable shift of biomass allocation to root systems near the alpine tundra.Our findings demonstrate contrasting changes in AGB and BGB allocations across treeline ecotones,which should be considered when estimating carbon dynamics with shifting treelines.
文摘Gangetic alluvial plain in north India constitutes significant proportions of barren sodic lands. A representative site, where afforestation was carried out during 1960s to rehabilitate the site under forest ecosystem, was selected to assess the restoration success. Three stands (S1, S2, and S3) were selected in a semi-natural subtropical forest at Banthra, Lucknow (26°45’ N, 80°53’ E) on the basis of different vegetation morphology and basal area gradient. Species composition and their growth forms were studied in overstory, understory and ground layer vegetation, in which dominants were assorted. Among the dominants few species were common in the three stands as also in different strata, which perhaps indicate their natural regeneration. Classification of individuals among the different size classes indicated ‘L’ shape distribution in which most of the individuals remained confined in younger groups. Biomass increased from the stand S1 to S3 stand in overstory, and vise versa for understory. Stand S2 consisted of predominance of ground layer biomass over the other stands. Biomass allocation in different plant components differed significantly between the overstory and understory for aerial woody components (stem and branch). Annual litter fall did not differ significantly among the stands, where as fine root biomass (up to 45 cm soil depth) decreased from S1 to S3 stands. Rainy and summer seasons contributed to two-third proportion of total annual fine root production. The state of this rehabilitated forest when compared with the degraded and reference forest of the region indicated that structural complexity, biomass and production levels have been achieved to 70% of the reference forest site even after having a different species composition.
