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Numerous studies have reported that treelines are moving to higher elevations and higher latitudes. Most treelines are temperature limited and warmer climate expands the area in which trees are capable of growing. Hence, climate change has been assumed to be the main driver behind this treeline movement. The latest review of treeline studies was published in 2009 by Harsch et al. Since then, a plethora of papers have been published studying local treeline migration. Here we bring together this knowledge through a review of 142 treeline related publications, including 477 study locations. We summarize the information known about factors limiting tree-growth at and near treelines. Treeline migration is not only dependent on favorable growing conditions but also requires seedling establishment and survival above the current treeline. These conditions appear to have become favorable at many locations, particularly so in recent years. The review revealed that at 66% of these treeline sites forest cover had increased in elevational or latitudinal extent. The physical form of treelines influences how likely they are to migrate and can be used as an indicator when predicting future treeline movements. Our analysis also revealed that while a greater percentage of elevational treelines are moving, the latitudinal treelines are capable of moving at greater horizontal speed. This can potentially have substantial impacts on ecosystem carbon storage. To conclude the review, we present the three main hypotheses as to whether ecosystem carbon budgets will be reduced, increased or remain the same due to treeline migration. While the answer still remains under debate, we believe that all three hypotheses are likely to apply depending on the encroached ecosystem. Concerningly, evidence is emerging on how treeline migration may turn tundra landscapes from net sinks to net sources of carbon dioxide in the future.

Plant diversity and plant-consumer/pathogen interactions likely interact to influence ecosystem carbon fluxes but experimental evidence is scarce. We examined how experimental removal of foliar fungi, soil fungi and arthropods from experimental prairies planted with 1, 4 or 16 plant species affected instantaneous rates of carbon uptake (GPP), ecosystem respiration (Re ) and net ecosystem exchange (NEE). Increasing plant diversity increased plant biomass, GPP and Re , but NEE remained unchanged. Removing foliar fungi increased GPP and NEE, with the greatest effects at low plant diversity. After accounting for plant biomass, we found that removing foliar fungi increased mass-specific flux rates in the low-diversity plant communities by altering plant species composition and community-wide foliar nitrogen content. However, this effect disappeared when soil fungi and arthropods were also removed, demonstrating that both plant diversity and interactions among consumer groups determine the ecosystem-scale effects of plant-fungal interactions.

Forest stand age can affect ecosystem carbon (C) cycling and net ecosystem productivity (NEP). In Canada, establishment of short-rotation plantations on previously agricultural lands has been ongoing, but the effect of stand development on soil respiration (Rs) and NEP in such plantations is poorly understood. These types of data are essential for constraining ecosystem models that simulate C dynamics over the rotation of a plantation. We studied Rs (including autotrophic, Ra, and heterotrophic, Rh) and NEP in 2008 and 2009 in a chronosequence of 5-, 8-, 14-, and 16-yr-old (ages in 2009) hybrid poplar (Populus deltoides × Populus × petrowskyana var. Walker) plantations in northern Alberta. The highest Rs and NEP were generally found in the 14-yr-old stand. Seasonal variations in Rs were similar among the plantations, with most of the variation explained by soil temperature at the 10 cm depth in 2008 with far less explained in 2009, a much drier year. In diurnal measurements, hysteresis was found between soil respiration and soil temperature, with the patterns of hysteresis different among stand ages. Soil respiration in the 14-yr-old plantation had the greatest sensitivity to temperature changes. Stand age did not affect the Rh:Rs ratio, whereas the NEP exhibited strong inter-annual variability. We conclude that stand age was a major factor affecting Rs and NEP, and such effects should be considered in empirical models used to simulate ecosystem C dynamics to evaluate potentials for C sequestration and the C source–sink relationship in short-rotation woody crop systems.

AIM: Ecosystem carbon use efficiency (CUEe) is a core parameter of ecosystem process models, but its relationships with climate are still uncertain, especially for ecosystems with harsh environments. Large inconsistencies in climate impacts on the CUEe have been reported among various spatial scales. The goal of this study was to examine whether warming promotes or restricts the CUEe and whether the CUEe responds to a warming gradient in a linear or nonlinear manner. LOCATION: Tibetan Plateau. TIME PERIOD: 2000–2018. MAJOR TAXA STUDIED: Alpine grassland ecosystem. METHODS: We integrated multiple‐source data of carbon fluxes and CUEe, including warming experiments at a site scale, eddy covariance observations at a landscape scale and synthesized warming experiments and ecosystem process models at a regional scale. Next, we deployed a statistical model to examine the warming impacts on the CUEe across scales; the effects of biotic and abiotic factors on the CUEe and its components were summarized based on the results of standardized major axis tests and routines, structural equation modelling and nonlinear models. RESULTS: This study reported a suppressive warming impact on the CUEe, which followed a nonlinear curve with severe inhibition in the high‐level warming treatment. With a warming threshold of 1.5–2.0°C, CUEe response patterns transitioned from no change to a significant decrease. The restriction effects can be ascribed to the joint adverse and asymmetric effects of warming on CUEe components under multiple‐level warming. Warming‐modified relationships among CUEe components and the nonlinear effects of biotic and abiotic factors led to the nonlinear responses of CUEe to warming. MAIN CONCLUSIONS: This study revealed suppressive and nonlinear effects of warming on the CUEe, including especially dramatic CUEe decreases with high‐level warming. These findings are critical for optimizing model parameters and improving predictions of the carbon sequestration capacity of alpine grasslands.

This note reports some concerns about the conservation of the boreal forest in Europe. In the Fennoscandia, there has been a significant increase in forest clearcutting in recent years, likely affecting even the remnants of natural forest. In Sweden, due to the long-term application of plantation forestry, a small fraction of the original boreal forest remains: its further fragmentation may jeopardize forest biodiversity and forest’s ability to cope with ongoing climatic changes. Outside protected areas, clearcutting followed by soil scarification, plantation, forest vegetation management, etc. grants financial profitability and large volumes of wood products, but not the conservation of biodiversity. Negative effects might be also expected on the ecosystem carbon balance due to large carbon-dioxide emissions for long years after clearcutting. It is good that these issues are being brought to the forefront of the environmental and scientific debate.

As an S-shaped curve, the logistic curve has both high and low limit, which provides advantages in modelling the influences of environmental factors on biogeological processes. However, although the logistic curve and its transformations have drawn much attention in theoretical modelling, it is often used as a classification method to determine a true or false condition, and is less often applied in simulating the real data set. Starting from the basic theory of the logistic curve, with observed data sets, this paper explored the new application scenarios such as modelling the time series of environmental factors, modelling the influence of environmental factors on biogeological processes and modelling the theoretical curve in ecology area. By comparing the performance of traditional model and the logistic model, the results indicated that logistic modelling worked as well as traditional equations. Under certain conditions, such as modelling the influence of temperature on ecosystem respiration, the logistic model is more realistic than the widely applied Lloyd-Taylor formulation under extreme conditions. These cases confirmed that the logistic curve was capable of simulating nonlinear influences of multiple factors on biogeological processes such as carbon dynamic.

The study was conducted from January to April 2018 to estimate ecosystem carbon stock and tree species diversity at National Botanical Garden, Bangladesh. Transects line method square plots with a size of 20 m × 20 m were used. So altogether there were total eighty-three sample plots in National Botanical Garden. Above ground carbon (AGC) and below ground carbon (BGC) biomass stock was 192.67 and 31.34, respectively and soil organic carbon mean value of 27.52 Mg ha-1, 21.45 Mg ha-1 and 16.23 Mg ha-1, respectively for 0-10 cm depth, 10-20 cm and 20-30 cm depth. The average number of tree species per hectare was 128 with a mean value of each plot 3.00 to 9.00 species. The average number of trees in National Botanical Garden (233 tree ha-1), basal area (21.45 m2 ha-1) and mean DBH (39.86 cm). Tree diversity range from 0.25 to 1.86 and the mean value of (0.93 ± 0.14) in National Botanical Garden. A relationship such as biomass carbon with the basal area, mean DBH, stem density and tree diversity were estimated. Among these, the relationship between basal area and biomass carbon showed positive significant correlation. Therefore, the results of the study confirmed that the selected botanical garden can serve as a valuable ecological tool in terms of carbon sequestration, diverse tree species and storage of soil organic carbon.

We welcome the letter of Song and Wang (1) regarding aquatic carbon (C) export on the Tibetan Plateau (TP) and appreciate the opportunity to clarify our thinking. The net ecosystem C balance (NECB) includes CO2 and CH4 exchange, volatile organic C loss, and particulate and aquatic C transport. By contrast, our work focused on terrestrial CO2 exchange (2), a subset of the NECB. We partly agree with Song and Wang regarding the importance of aquatic C loss, but their conclusion was reached based upon a catchment-scale case study (3). In an attempt to clarify how much the terrestrial CO2 sink has been compromised at a regional scale, we expanded the NECB to incorporate rivers, lakes, thermokarst, wetlands, grasslands, and … [↵][1] 1To whom correspondence may be addressed. Email: wxd{at}imde.ac.cn. [1]: #xref-corresp-1-1

Monitoring net ecosystem carbon dioxide (CO2) exchange (NEE) using eddy covariance (EC) flux towers is quite common, but the measurements are valid at the scale of tower footprints. Alternative way...

In the northern hemisphere, terrestrial ecosystems transition from net sources of CO2 to the atmosphere in winter to net ecosystem carbon sinks during spring. The timing (or phase) of this transiti...

As an essential part of terrestrial ecosystems, convenient and accurate reconstruction of the past carbon sequestration capacity of forests is critical to assess future trends of aboveground carbon storage and ecosystem carbon cycles. In addition, the relationship between climate change and carbon sequestration of forests has been vigorously debated. In this study, dynamic change of carbon sequestration capacity in aboveground biomass of Picea schrenkiana (hereinafter abbreviated as P. schrenkiana) in the Tianshan Mountains, northwestern China, from 1850–2017, were reconstructed using dendrochronology. The main climate drivers that affected carbon sequestration capacity in aboveground biomass of P. schrenkiana were then investigated. The results showed that: (1) tree-ring width and diameter at breast height (DBH) of P. schrenkiana obtained from different altitudes and ages were an effective and convenient estimation index for reconstructing the carbon sequestration capacity of P. schrenkiana. The carbon storage of P. schrenkiana forest in 2016 in the Tianshan Mountains was 50.08 Tg C calculated using tree-ring width and DBH, which was very close to the value determined by direct field investigation data. (2) The annual carbon sequestration potential capacity of P. schrenkiana exhibited an increasing trend from 1850–2017. Temperature, especially minimum temperature, constituted the key climatic driver resulting in increased carbon sequestration capacity. The contribution rates of temperature and minimum temperature to the change of P. schrenkiana carbon sequestration capacity was 75% and 44%, respectively. (3) The significant increase of winter temperature and minimum temperature led to warming in the Tianshan Mountains, resulting in a significant increase in carbon sequestration capacity of P. schrenkiana. The results indicate that, with the continuous increase of winter temperature and minimum temperature, carbon sequestration of P. schrenkiana in the Tianshan Mountains is predicted to increase markedly in the future. The findings of this study provide a useful basis to evaluate future aboveground carbon storage and carbon cycles in mountain systems possessed similar characteristics of the Tianshan Mountains.

Ecosystem carbon dioxide (CO2), water vapor, and heat exchanges in alpine wetlands on the Qinghai–Tibetan Plateau are not comprehensively understood. Thus, we studied variability of net ecosystem CO2 exchange (NEE), ecosystem respiration (Re), gross primary production (GPP), evapotranspiration (ET), and heat fluxes over a headwater wetland ecosystem in the Qinghai Lake region. Results showed that the headwater wetland ecosystem was net CO2 absorption on the annual scale, in which monthly NEE, GPP, and Re in two consecutive years varied from −165.16 to 93 g CO2 m−2 mo−1, 6.66 to 384.45 g CO2 m−2 mo−1, and 6.9 to 232.02 g CO2 m−2 mo−1, respectively. The monthly ET from June to September was smaller than precipitation; these results reversed in the remaining months. Annual ET was 362.1 mm in 2015 and 324.96 mm in 2016. The net radiation (Rn), sensible heat (H), latent heat (LE), and ground heat (G) fluxes showed similar monthly patterns. Values of monthly average half-hour Rn, H, LE, and G at the daytime showed Rn > LE > H > G, and the time of the monthly half-hour G peak obviously lagged the Rn, H, and LE. Monthly average Bowen ratios were

Vegetation–soil systems differentially influence the ecosystem processes related to the carbon cycle, particularly when one tree species is dominant over wide geographic regions that are undergoing climate change. The objective of this study was to quantify the stocks of ecosystem carbon in three vegetation–soil systems along a highland elevational gradient in central Mexico. The vegetation–soil systems, from lower to higher elevation, were dominated by Alnus jorullensis Kunth, Abies religiosa (Kunth) Schltdl. & Cham., and Pinus hartwegii Lindl., respectively. Above- and below-ground tree biomass was determined in each system, along with the litter, coarse woody material, roots, and litterfall. The A. religiosa system had the greatest stock of aboveground biomass carbon (216 ± 31 Mg C·ha−1). The A. jorullensis system had the greatest production of litterfall (3.1 ± 0.08 Mg·ha−1·year−1); however, the carbon content of this litter layer (1.2 ± 0.32 Mg C·ha−1) was lower than that of P. hartwegii (10.1 ± 0.28 Mg C·ha−1). Thus, the litter layer in the A. jorullensis system had markedly the shortest residence time (8 years), suggesting high rates of litter decomposition. The soil carbon stock (at soil depth of 1 m) was greater in A. jorullensis (189 Mg C·ha−1) and P. hartwegii (137 Mg C·ha−1) than in A. religiosa (68 Mg C·ha−1). The A. religiosa and A. jorullensis systems had the highest and lowest total ecosystem C content (301 and 228 Mg C·ha−1, respectively). Upward migration of the A. religiosa system in response to global climate change, however, could cause losses by 2030 of 187 Mg C·ha−1 associated with aboveground biomass.

Ecosystem carbon (C) transit time is a critical diagnostic parameter to characterize land C sequestration. This parameter has different variants in the literature, including a commonly used turnover time. However, we know little about how different transit time and turnover time are in representing carbon cycling through multiple compartments under a non-steady state. In this study, we estimate both C turnover time as defined by the conventional stock over flux and mean C transit time as defined by the mean age of C mass leaving the system. We incorporate them into the Community Atmosphere Biosphere Land Exchange (CABLE) model to estimate C turnover time and transit time in response to climate warming and rising atmospheric [CO2]. Modelling analysis shows that both C turnover time and transit time increase with climate warming but decrease with rising atmospheric [CO2]. Warming increases C turnover time by 2.4 years and transit time by 11.8 years in 2100 relative to that at steady state in 1901. During the same period, rising atmospheric [CO2] decreases C turnover time by 3.8 years and transit time by 5.5 years. Our analysis shows that 65 % of the increase in global mean C transit time with climate warming results from the depletion of fast-turnover C pool. The remaining 35 % increase results from accompanied changes in compartment C age structures. Similarly, the decrease in mean C transit time with rising atmospheric [CO2] results approximately equally from replenishment of C into fast-turnover C pool and subsequent decrease in compartment C age structure. Greatly different from the transit time, the turnover time, which does not account for changes in either C age structure or composition of respired C, underestimated impacts of warming and rising atmospheric [CO2] on C diagnostic time and potentially led to deviations in estimating land C sequestration in multi-compartmental ecosystems.

In summer 2018, Europe experienced a record drought, but it remains unknown how the drought affected ecosystem carbon dynamics. Using observations from 34 eddy covariance sites in different biomes across Europe, we studied the sensitivity of gross primary productivity (GPP) to environmental drivers during the summer drought of 2018 versus the reference summer of 2016. We found a greater drought-induced decline of summer GPP in grasslands (−38%) than in forests (−10%), which coincided with reduced evapotranspiration and soil water content (SWC). As compared to the ‘normal year’ of 2016, GPP in different ecosystems exhibited more negative sensitivity to summer air temperature (Ta) but stronger positive sensitivity to SWC during summer drought in 2018, that is, a stronger reduction of GPP with soil moisture deficit. We found larger negative effects of Ta and vapour pressure deficit (VPD) but a lower positive effect of photosynthetic photon flux density on GPP in 2018 compared to 2016, which contributed to reduced summer GPP in 2018. Our results demonstrate that high temperature-induced increases in VPD and decreases in SWC aggravated drought impacts on GPP. This article is part of the theme issue ‘Impacts of the 2018 severe drought and heatwave in Europe: from site to continental scale’., Philosophical Transactions of the Royal Society B: Biological Sciences, 375 (1810), ISSN:0962-8436, ISSN:1471-2970, ISSN:0080-4622

The representation of carbon allocation (CA) in ecosystem differs tremendously among models, resulting in diverse responses of carbon cycling and storage to global change. Several studies have highlighted discrepancies between empirical observations and model predictions, attributing these differences to problems of model structure. We analyzed the mathematical representation of CA in models using concepts from dynamical systems theory; we reviewed a representative sample of models of CA in vegetation and developed a model database within the Python package bgc-md. We asked whether these representations can be generalized as a linear system, or whether a more general framework is needed to accommodate nonlinearities. Some of the vegetation systems simulated with the reviewed models have a fixed partitioning of photosynthetic products, independent of environmental forcing. Vegetation is often represented as a linear system without storage compartments. Yet, other structures with nonlinearities have also been proposed, with important consequences on the temporal trajectories of ecosystem carbon compartments. The proposed mathematical framework unifies the representation of alternative CA schemes, facilitating their classification according to mathematical properties as well as their potential temporal behaviour. It can represent complex processes in a compact form, which can potentially facilitate dialog among empiricists, theoreticians, and modellers.

The ecosystem carbon (C) balance in permafrost regions, which has a global significance in understanding the terrestrial C-climate feedback, is significantly regulated by nitrogen (N) dynamics. However, our knowledge on temporal changes in vegetation N limitation (i.e., the supply of N relative to plant N demand) in permafrost ecosystems is still limited. Based on the combination of isotopic observations derived from a re-sampling campaign along a ~3000 km transect and simulations obtained from a process-based biogeochemical model, here we detect changes in ecosystem N cycle across the Tibetan alpine permafrost region over the past decade. We find that vegetation N limitation becomes stronger despite the increased available N production. The enhanced N limitation on vegetation growth is driven by the joint effects of elevated plant N demand and gaseous N loss. These findings suggest that N would constrain the future trajectory of ecosystem C cycle in this alpine permafrost region., Massive stores of carbon and nutrients in permafrost could be released by global warming. Here the authors show that though warming across the Tibetan alpine permafrost region accelerates nitrogen liberation, contrary to expectations the elevated nutrients do not alleviate plant nitrogen limitation.

In the Sand County Almanac (Leopold 1949), Aldo Leopold writes of the odyssey of element X and thus of the circulation of all nutrient elements as they cycle through the Earth’s forests, rangelands, lakes, and oceans. In mid-century, G.E. Hutchinson, while always one to praise aesthetic values, commented disparagingly about the quantitative science of element cycling, specifically that ecosystem carbon (C) data were “wretchedly inadequate” (Hutchinson 1954). Hutchinson’s comment was not only a complaint but also a challenge to all ecosystem scientists who followed to quantify the Earth’s biogeochemical cycles, for he understood that the resilience and functioning of ecosystems was entirely dependent on how plants, animals, and decomposers used and reused the chemical elements that we call nutrients.

The importance of forests and soil in carbon (C) sequestration and storage is continually increasing with climate change. Disturbances, such as storms and insect outbreaks, are the drivers of forest functioning, composition and structure, and many of them are predicted to become more common in the future. However, environmental factors that predispose forests to disturbance as well as the diverse effects of disturbances on forest C cycling are not fully known. In this dissertation, stand, site and soil characteristics predisposing forest stands to outbreaks of two common insect species that can cause tree damage and mortality—the common pine sawfly (Diprion pini L.) and the European spruce bark beetle (Ips typographus L.)—were examined, and the impacts of storm and I. typographus disturbance on soil respiration, tree and soil C stocks, and microbial community composition and associated C contents were investigated in forests located in eastern and southern Finland. The level of tree damage by D. pini and I. typographus in managed Scots pine (Pinus sylvestris L.) and urban Norway spruce (Picea abies (L.) Karst.) forests, respectively, were associated with various site and soil characteristics. Defoliation of P. sylvestris by D. pini was more severe on sites with soil properties indicating greater fertility (e.g. lower soil C/N ratio and finer textured). Highest cumulative probabilities for severe I. typographus infestation of P. abies were associated with trees growing on sites having an east-facing aspect and the most fertile site types combined with either moderately steep slopes, shallow till soil or high soil C/N ratio. The effects of storm and I. typographus (5–7 years and circa 1–4 years after tree mortality, respectively) disturbance on forest C were studied in P. abies dominated forests that had been left unmanaged after disturbance. Soil surface total and heterotrophic CO2 effluxes, and topsoil C stocks of storm and I. typographus disturbed and undisturbed sites differed little, despite the shift in tree C stocks from living to dead after both disturbances and greater litter detritus C stocks on the I. typographus disturbed sites. Soil surface autotrophic CO2 effluxes were mostly lower at the disturbed sites than at undisturbed ones. The most distinct differences in the humus layer microbiology were the lower abundances of tree-symbiotic ectomycorrhizal fungi, and consequently slightly lower microbial and fungal biomasses in the storm and I. typographus disturbed sites in comparison to the undisturbed sites. The remaining living trees on or in close proximity to the disturbed sites probably mitigated the belowground response to disturbance to some extent. This dissertation shows that certain site and soil characteristics predispose trees and forest stands to D. pini and I. typographus infestations, which could help in identifying sites that are susceptible to insect disturbance. Furthermore, it provides new information about the short-term effects of natural disturbance on boreal forest C cycling and soil microbiology, which is important for improving understanding of the complexity of the possible impacts of climate change on forest C sequestration. Metsien ja maaperän merkitys hiilen sidonnassa ja varastoina korostuu jatkuvasti. Luontaiset häiriötekijät, kuten myrskyt ja hyönteisten joukkoesiintymät, ovat metsän toiminnan oleellisia muokkaajia. Joidenkin puita tappavien häiriöiden on arvioitu yleistyvän ilmastonmuutoksen myötä, millä voi olla merkittäviä paikallisia vaikutuksia metsien hiilinieluun. Metsiä häiriöille altistavista ympäristötekijöistä, sekä häiriöiden monimutkaisista vaikutuksista metsän hiilen kiertoon ei kuitenkaan tiedetä tarpeeksi. Tässä tutkimuksessa tarkasteltiin maaperä-, puusto- ja pinnanmuototekijöitä, jotka altistavat metsiköitä kahden hyönteislajin — pilkkumäntypistiäisen ja kirjanpainajan — joukkoesiintymille ja niistä aiheutuville puustotuhoille Etelä- ja Itä-Suomen metsissä. Lisäksi työssä tarkasteltiin myrsky- ja kirjanpainajahäiriöiden vaikutusta maahengitykseen (maasta vapautuva hiilidioksidivuo), puiden ja maaperän hiilivarastoihin sekä maaperän mikrobiyhteisöjen koostumukseen ja hiilen fraktioihin Etelä-Suomen metsissä. Pilkkumäntypistiäisen aiheuttaman metsämännyn neulaskadon havaittiin olevan talousmetsissä pääosin voimakkaampaa alueilla, joiden maaperätekijät viittasivat korkeampaan ravinteikkuuteen (esim. pienempi hiili/typpi suhde ja suurempi hienojen maapartikkelien osuus). Suurimmat todennäköisyydet kirjanpainajan voimakkaalle esiintymiselle metsäkuusella löydettiin kaupunkimetsissä puille, jotka kasvoivat itään viettävillä, ravinteikkailla kasvupaikoilla (lehto tai lehtomainen kangas) ja joihin liittyi joko kaltevimpia pinnanmuotoja, ohut moreenimaa tai maaperän korkea hiili/typpi suhde. Myrskyn (5–7 vuoden jälkeen) ja kirjanpainajan (noin 1–4 vuotta puustokuoleman jälkeen) vaikutuksia metsän hiileen ja maaperän mikrobeihin tarkasteltiin metsäkuusivaltaisessa myrskyn jälkeen suojellussa metsässä. Kokonaismaahengitys, heterotrofinen maahengitys ja pintamaan hiilivarastot eivät juuri eronneet myrskyn tappamien puiden, kirjanpainajan tappamien puiden ja häiriöttömien (elävät puut) alueiden välillä, vaikka molemmilla häiriöalueilla puuston hiilivarastot koostuivat pääosin kuolleista puista ja kirjanpainajan tappamien puiden alueilla oli suurimmat pintakarikkeen hiilivarastot. Autotrofinen maahengitys oli pääosin vähäisempää häiriöalueilla kuin elävien puiden alueilla. Selkeimmät erot maan humuskerroksen mikrobiologiassa olivat pienempi puiden symbionttisten mykorritsasienten rihmaston kasvu, sienibiomassa ja mikrobibiomassahiili myrskyn sekä kirjanpainajan tappamien puiden alueilla verrattuna elävien puiden alueiseen. Kuolleiden puiden joukossa sekä lähialueilla olevat elävät puut todennäköisesti hieman lievensivät häiriöiden aiheuttamia muutoksia metsämaassa. Tämä tutkimus osoittaa, että tietyt maaperä-, pinnanmuoto- ja kasvupaikkatekijät altistavat puita ja metsiköitä pilkkumäntypistiäis- ja kirjanpainajahäiriöille, mikä voi tarvittaessa auttaa kyseisten hyönteisten joukkoesiintymille alttiiden metsäalueiden tunnistamisessa. Lisäksi tutkimus tarjoaa uutta tietoa luontaisten häiriöiden lyhytaikaisista vaikutuksista boreaalisen metsän hiilen kiertoon ja maaperän mikrobiologiaan, mikä on oleellista, jotta ilmastonmuutoksen mahdollisia monimutkaisia vaikutuksia metsien hiilensidontaan voidaan ymmärtää paremmin.

Ecosystems responded asymmetrically to the 2018 European drought., In summer 2018, central and northern Europe were stricken by extreme drought and heat (DH2018). The DH2018 differed from previous events in being preceded by extreme spring warming and brightening, but moderate rainfall deficits, yet registering the fastest transition between wet winter conditions and extreme summer drought. Using 11 vegetation models, we show that spring conditions promoted increased vegetation growth, which, in turn, contributed to fast soil moisture depletion, amplifying the summer drought. We find regional asymmetries in summer ecosystem carbon fluxes: increased (reduced) sink in the northern (southern) areas affected by drought. These asymmetries can be explained by distinct legacy effects of spring growth and of water-use efficiency dynamics mediated by vegetation composition, rather than by distinct ecosystem responses to summer heat/drought. The asymmetries in carbon and water exchanges during spring and summer 2018 suggest that future land-management strategies could influence patterns of summer heat waves and droughts under long-term warming.

Western Hubei is the most concentrated area of forest resources in Hubei Province, and the knowledge of the distribution characteristics of ecosystem carbon density is important to understand the regional characteristics of carbon density and its mechanism of formation. Carbon density and factors influencing different layers in the ecosystem were studied by using field data. The average carbon density of ecosystems in western Hubei was 159.05 t/hm2; the carbon density of different forest types in descending order was Abies fargesii forests (362.25 t/hm2), mixed broadleaf-conifer forests (154.13 t/hm2), broad-leaved forests (146.09 t/hm2), and coniferous forests (135.76 t/hm2), and ecosystem carbon density increased with increasing age. The carbon density of the arborous layer, shrub layer, and soil layer of A. fargesii forests was significant higher than that of the other forests (P 100 mm.

1. Large herbivores can control plant community composition and, under certain conditions, even induce vegetation shifts to alternative ecosystem states. As different plant assemblages maintain con ...

Data from the hyperspectral imager for coastal ocean (HICO), mounted on the International Space Station (ISS), were used to develop and test algorithms for remotely retrieving ecosystem productivity. Twenty-six HICO images were used from four study sites representing different vegetation types: grasslands, shrubland, and forest. Gross ecosystem production (GEP) data from eddy covariance were matched with HICO-derived spectra. Multiple algorithms were successful relating spectral reflectance with GEP, including: spectral vegetation indices (SVI), SVI in a light-use efficiency model framework, spectral shape characteristics through spectral derivatives and absorption feature analysis, and statistical models leading to multiband hyperspectral indices from stepwise regressions and partial least squares regression. Successful algorithms were able to achieve r 2 better than 0.7 for both GEP at the overpass time and daily GEP. These algorithms were successful using a diverse set of observations combining data from multiple years, multiple times during growing season, different times of day, with different view angles, and different vegetation types. The demonstrated robustness of the algorithms presented in this study over these conditions provides some confidence in mapping spatial patterns of GEP, describing variability within fields, as well as the regional patterns. The ISS orbit provides periods with multiple observations collected at different times of the day within a period of a few days. Diurnal GEP patterns were estimated comparing the half-hourly average GEP from the flux tower against HICO estimates of GEP ( r 2 = 0.87) if morning, midday, and afternoon observations were available.

Forest fragmentation threatens the ecosystem carbon (C) storage. The distribution patterns of ecosystem C density are poorly documented for fragmented forests of differing patch size. The objectives of this study were to examine C density in these forest ecosystems and the influence of edge effects on C density. Allometric equations were used to quantify aboveground biomass. Carbon density was estimated by analyzing the C concentration of each component. We found that ecosystem carbon density ranged from 173.9 Mg ha−1 in the small sized forest fragments, to 341.1 Mg ha−1 in the contiguous evergreen sub-tropical forest. Trees (46.5%) and mineral soil (50.2%) were the two largest contributors to the total ecosystem C pool in all fragments. Both C and nitrogen (N) in soil and fine roots were highly heterogeneous among the different fragment sizes and soil depths. We concluded that ecosystem C density of forest fragments were significantly influenced by patch size and edge effects. The fragmented forests in southern China play an important role in the C budget, and need urgent conservation. These results are likely to be further integrated into forest management plans and generalized into other contexts, to evaluate C stocks at the landscape scale.

Urban forests function as lungs in the cities and help in providing a healthy environment to people by reducing warming and improving air & water quality. Information on the carbon storage and capture capacity of the urban forests especially sacred forests in India is limited. We estimated and examined the different carbon pools and sequestration potentials of two urban sacred forests i.e. Deorali Chorten monastery sacred forest (DMS) and Enchey monastery sacred forest (EMS) and tested its performance against a rural natural forest (STF). Carbon in trees was estimated allometrically from five plots of 31.6 × 31.6 m2 in each of the study sites using the Forest Survey of India's volume equations, wood density, and tree height. Thirty soil samples collected from three soil depths (0–15, 15–30, and 30–45 cm) from each of the study sites were colorimetrically estimated for soil carbon. Litter biomass collected from ten quadrats of 1 × 1m2 from each of the study sites was used for the estimation of litter carbon. Ecosystem carbon sequestration was calculated from the carbon stock values of each of the study sites by dividing by the corresponding age of sites. Tree carbon density varies significantly (p

Net ecosystem carbon exchange (NEE) measures the carbon interchanges between the Earth’s biosphere and atmosphere. NEE datasets for two northern European sites (730 and 413 data records) incorporating twenty-two meteorological and environmental data influencing variables, collected on a daily basis for years spread across the period 1997 to 2013, are evaluated by an optimized data matching machine learning algorithm to predict NEE and data mine the datasets. The model’s transparency and avoidance of regressions/hidden correlations facilitates detailed data mining of the dataset exploiting two distinct objective functions. This reveals useful insights concerning similarities and influences between specific data records. Cumulative absolute error and squared error trends of predictions enable areas of the NEE distribution, predicted to different degrees of accuracy, to be identified. Such trends also facilitate detailed comparisons of the prediction calculation of each data record. The prediction accuracy achieved by the algorithm for the UK-Gri dataset (MAE = 0.6898 gC m−2 d−1; RMSE = 0.9558; R2 = 0.8903) and the hybrid UK-Gri plus NL-Loo dataset (MAE = 0.5072 gC m−2 d−1; RMSE = 0.7746; R2 = 0.9149) substantially outperform the NEE prediction accuracies achieved by four regression-based machine learning algorithms applied to the exact set of data records.

Vegetation composition shifts, and in particular, shrub expansion across the Arctic tundra aresome of the most important and widely observed responses of high-latitude ecosystems to rapidclimate warming. These changes in vegetation potentially alter ecosystem carbon balances byaffecting a complex set of soil–plant–atmosphere interactions. In this review, we synthesize theliterature on (a) observed shrub expansion, (b) key climatic and environmental controls andmechanisms that affect shrub expansion, (c) impacts of shrub expansion on ecosystem carbonbalance, and (d) research gaps and future directions to improve process representations in landmodels. A broad range of evidence, including in-situ observations, warming experiments, andremotely sensed vegetation indices have shown increases in growth and abundance of woodyplants, particularly tall deciduous shrubs, and advancing shrublines across the circumpolar Arctic.This recent shrub expansion is affected by several interacting factors including climate warming,accelerated nutrient cycling, changing disturbance regimes, and local variation in topography andhydrology. Under warmer conditions, tall deciduous shrubs can be more competitive than otherplant functional types in tundra ecosystems because of their taller maximum canopy heights andoften dense canopy structure. Competitive abilities of tall deciduous shrubs vs herbaceous plantsare also controlled by variation in traits that affect carbon and nutrient investments and retentionstrategies in leaves, stems, and roots. Overall, shrub expansion may affect tundra carbon balancesby enhancing ecosystem carbon uptake and altering ecosystem respiration, and through complexfeedback mechanisms that affect snowpack dynamics, permafrost degradation, surface energybalance, and litter inputs. Observed and projected tall deciduous shrub expansion and thesubsequent effects on surface energy and carbon balances may alter feedbacks to the climatesystem. Land models, including those integrated in Earth System Models, need to account fordifferences in plant traits that control competitive interactions to accurately predict decadal- tocentennial-scale tundra vegetation and carbon dynamics.

© 2017 John Wiley & Sons Ltd Aim: Terrestrial ecosystems have sequestered, on average, the equivalent of 30% of anthropogenic carbon (C) emissions during the past decades, but annual sequestration varies from year to year. For effective C management, it is imperative to develop a predictive understanding of the interannual variability (IAV) of terrestrial net ecosystem C exchange (NEE). Location: Global terrestrial ecosystems. Methods: We conducted a comprehensive review to examine the IAV of NEE at global, regional and ecosystem scales. Then we outlined a conceptual framework for understanding how anomalies in climate factors impact ecological processes of C cycling and thus influence the IAV of NEE through biogeochemical regulation. Results: The phenomenon of IAV in land NEE has been ubiquitously observed at global, regional and ecosystem scales. Global IAV is often attributable to either tropical or semi-arid regions, or to some combination thereof, which is still under debate. Previous studies focus on identifying climate factors as driving forces of IAV, whereas biological mechanisms underlying the IAV of ecosystem NEE are less clear. We found that climate anomalies affect the IAV of NEE primarily through their differential impacts on ecosystem C uptake and respiration. Moreover, recent studies suggest that the carbon uptake period makes less contribution than the carbon uptake amplitude to IAV in NEE. Although land models incorporate most processes underlying IAV, their efficacy to predict the IAV in NEE remains low. Main conclusions: To improve our ability to predict future IAV of the terrestrial C cycle, we have to understand biological mechanisms through which anomalies in climate factors cause the IAV of NEE. Future research needs to pay more attention not only to the differential effects of climate anomalies on photosynthesis and respiration but also to the relative importance of the C uptake period and amplitude in causing the IAV of NEE. Ultimately, we need multiple independent approaches, such as benchmark analysis, data assimilation and time-series statistics, to integrate data, modelling frameworks and theory to improve our ability to predict future IAV in the terrestrial C cycle.