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| 1 | Ecosystem service of green infrastructure for adaptation to urban growth:function and configuration显示文摘Objectives:(1)to explore what kind of green infrastructure(GI)meets the demand for urban ecological security of rapid urbanization areas;(2)to figure out how to determine the specific function and configuration of GI from ecosystem service requirements of urban ecological security.Methods:(1)Through the literature review,this article summarizes the function and structure evolution of GI in order to adapt to urban growth.(2)Standing on the imperfect ecological functions and unreasonable spatial configurations,this article builds up a conceptual model for the optimization of green infrastructure ecosystem services to meet the demand for the green infrastructure pattern needed by urban growth.Results:The optimization framework consists of four central function modules and its regulating and controlling mechanisms,incuding:(1)Balancing supply and demand of GI's ecosystem service;(2)Measuring and evaluating GI's ecosystem services;(3)Elevating and optimizing GI's ecosystem service;(4)Building urban ecological security patterm with high efficiency of GI's ecosystem services.Moreover,this framework provides guidance for the planning and design of GI and the urban ecological security pattern building in rapid urbanization areas based on ba lancing supply and demand of GI's ecosystem services.Conclusion:The conceptual model of Gl's ecosystem service optimization based on balan-cing supply and demand shows a new path to meet the needs of urban growth and build a city's ecological security pattern through upgrading and optimizing GI. | Yun-Cai Wang Jia-Ke Shen Wei-Ning Xiang | 2018 | Ecosystem Health and Sustainability2018，4，5： | 16 |
| 2 | Water quality monitoring and evaluation using remote sensing techniques in China:a systematic review显示文摘Introduction:The application of remote-sensing techniques for water quality assessment has become increasingly popular in China.However,existing reviews are often limited to qualitative description and are quite fragmented.Outcomes:We conducted a quantitative systematic review to display current research status and identify the existing challenges and future directions.Our review revealed that the application of remote-sensing techniques in water quality research has expanded dramatically in China,but the spatial distribution is quite uneven.Second,the ground object spectrometer is the most widely applied data source.Water color indicators such as chlorophyll a and suspended solid are the most widely investigated in China.Third,semiempirical method is the most commonly used inversion method.Existing studies rarely considered the anthropogenic factors,which limited the model robustness and its application in humandominated aquatic ecosystems.Discussion and Conclusion:We concluded that,in the past several decades,China has made notable progresses in monitoring and evaluation of water quality using the remote-sensing techniques(especially in inland lakes).We proposed that further improvements would be needed in terms of temporal and spatial coverage,indicator list,the incorporation of human–nature interactions,inversion accuracy,and model generalization. | Xiaoyan Wang Wu Yang | 2019 | Ecosystem Health and Sustainability2019，5，1： | 14 |
| 3 | Review on carbon storage estimation of forest ecosystem and applications in China显示文摘Background:The accuracy in estimating forest ecosystem carbon storage has drawn extensive attention of researchers in the field of global climate change.However,incomparable data sources and various estimation methods have led to significant differences in the estimation of forest carbon storage at large scales.Methods:In this study,we reviewed fundamental types of forest carbon storage estimation methods and their applications in China.Results:Results showed that the major forest carbon storage estimation methods were classified into 3 major categories and 15 subcategories focusing on vegetation carbon storage estimation,soil carbon storage estimation,and litter carbon storage estimation,respectively.The application in China showed that there have been 3 development stages of research in China since the 1990s.Studies of forest carbon storage estimation in province scales were conducted more frequently in the northeastern,eastern and southwestern provinces such as Zhejiang,Heilongjiang and Sichuan with high forest coverage or large forest area.Inventory-based methods,soil type method,and biomass model were the main forest estimation methods used in China,focusing on vegetation,soil and litter carbon storage estimation respectively.Total forest carbon storage of China was approximate 28.90 Pg C,and the average vegetation carbon density(42.04±5.39 Mg·ha?1)was much lower than that of the whole world(71.60 Mg·ha?1).Vegetation carbon density from average biomass method was the highest(57.07 Mg·ha?1)through comparing nine types of vegetation carbon storage estimation methods applied during 1989 to 1993.Conclusions:Many studies on forest carbon storages have been carried out in China at patch scales or regional scales.These efforts enabled the research of forest carbon storage to reach a relatively advanced stage.Meanwhile,the accumulation of massive research data provides the basis for subsequent research work.Some challenges are also existing.This review could provide a reference for more accurate estimation of forest carbon storage in the future. | Wanlong Sun Xuehua Liu | 2020 | Forest Ecosystems2020，7，1： | 12 |
| 4 | The national forest inventory in China:history-results-international context显示文摘Background:National forest resource assessments and monitoring,commonly known as National Forest Inventories(NFI's),constitute an important national information infrastructure in many countries.Methods:This study presents details about developments of the NFI in China,including sampling and plot design,and the uses of alternative data sources,and specifically· reviews the evolution of the national forest inventory in China through the 20 th and 21 st centuries,with some reference to Europe and the US;· highlights the emergence of some common international themes:consistency of measurement; more efficient sampling designs; implementation of improved technology; expansion of the variables monitored; scientific transparency;· presents an example of how China's expanding NFI exemplifies these global trends.Results:Main results and important changes in China's NFI are documented,both to support continued trend analysis and to provide data users with historical perspective.Conclusions:New technologies and data needs ensure that the Chinese NFI,like the national inventories in other countries,will continue to evolve.Within the context of historical change and current conditions,likely directions for this evolution are suggested. | Wei Sheng Zeng Erkki Tomppo Sean P.Healey Klaus V.Gadow | 2015 | Forest Ecosystems2015，2，4： | 8 |
| 5 | Early detection of pine wilt disease in Pinus tabuliformis in North China using a field portable spectrometer and UAV-based hyperspectral imagery显示文摘Background:Pine wilt disease(PWD)is a major ecological concern in China that has caused severe damage to millions of Chinese pines(Pinus tabulaeformis).To control the spread of PWD,it is necessary to develop an effective approach to detect its presence in the early stage of infection.One potential solution is the use of Unmanned Airborne Vehicle(UAV)based hyperspectral images(HIs).UAV-based HIs have high spatial and spectral resolution and can gather data rapidly,potentially enabling the effective monitoring of large forests.Despite this,few studies examine the feasibility of HI data use in assessing the stage and severity of PWD infection in Chinese pine.Method:To fill this gap,we used a Random Forest(RF)algorithm to estimate the stage of PWD infection of trees sampled using UAV-based HI data and ground-based data(data directly collected from trees in the field).We compared relative accuracy of each of these data collection methods.We built our RF model using vegetation indices(VIs),red edge parameters(REPs),moisture indices(MIs),and their combination.Results:We report several key results.For ground data,the model that combined all parameters(OA:80.17%,Kappa:0.73)performed better than VIs(OA:75.21%,Kappa:0.66),REPs(OA:79.34%,Kappa:0.67),and MIs(OA:74.38%,Kappa:0.65)in predicting the PWD stage of individual pine tree infection.REPs had the highest accuracy(OA:80.33%,Kappa:0.58)in distinguishing trees at the early stage of PWD from healthy trees.UAV-based HI data yielded similar results:the model combined VIs,REPs and MIs(OA:74.38%,Kappa:0.66)exhibited the highest accuracy in estimating the PWD stage of sampled trees,and REPs performed best in distinguishing healthy trees from trees at early stage of PWD(OA:71.67%,Kappa:0.40).Conclusion:Overall,our results confirm the validity of using HI data to identify pine trees infected with PWD in its early stage,although its accuracy must be improved before widespread use is practical.We also show UAV-based data PWD classifications are less accurate but comparable to those of ground-based data.We believe that these results can be used to improve preventative measures in the control of PWD. | Run Yu Lili Ren Youqing Luo | 2021 | Forest Ecosystems2021，8，3： | 8 |
| 6 | Variation of net primary productivity and its drivers in China’s forests during 2000-2018显示文摘Background:Net primary productivity(NPP)in forests plays an important role in the global carbon cycle.However,it is not well known about the increase rate of China’s forest NPP,and there are different opinions about the key factors controlling the variability of forest NPP.Methods:This paper established a statistics-based multiple regression model to estimate forest NPP,using the observed NPP,meteorological and remote sensing data in five major forest ecosystems.The fluctuation values of NPP and environment variables were extracted to identify the key variables influencing the variation of forest NPP by correlation analysis.Results:The long-term trends and annual fluctuations of forest NPP between 2000 and 2018 were examined.The results showed a significant increase in forest NPP for all five forest ecosystems,with an average rise of 5.2 gC·m-2·year-1 over China.Over 90%of the forest area had an increasing NPP range of 0-161 gC·m-2·year-1.Forest NPP had an interannual fluctuation of 50-269 gC.m-2·year-1 for the five major forest ecosystems.The evergreen broadleaf forest had the largest fluctuation.The variability in forest NPP was caused mainly by variations in precipitation,then by temperature fluctuations.Conclusions:All five forest ecosystems in China exhibited a significant increasing NPP along with annual fluctuations evidently during 2000-2018.The variations in China’s forest NPP were controlled mainly by changes in precipitation. | Yuhe Ji Guangsheng Zhou Tianxiang Luo Yakir Dan Li Zhou Xiaomin Lv | 2020 | Forest Ecosystems2020，7，2： | 8 |
| 7 | Effects of biochar application on fluxes of three biogenic greenhouse gases: a meta- analysis显示文摘Biochar application to cropland has been recommended as a strategy to reduce increasing at-mospheric CO2 concentrations and mitigate climate change.However,the direction and magnitude of responses of greenhouse gas(GHG)fluxes to biochar application to cropland remain unclear.Our meta-analysis of 296 observations across 61 studies for the first time quantitatively estimated the effects of biochar amendment on fluxes of three GHGsCO2,N2O,and CH4.The results showed that biochar application led to a significant change in soil GHGs emissions:in general,19%for CO2,−16%for N2O(P<0.05),but no pronounced change in CH4 emissions;in paddy,−5%for CO2,−20%for N2O,but+19%for CH4(P<0.05);in upland,−18%for N2O,+12%for CO2,and high uncertainty for CH4.The responses of soil GHG flux-es to biochar application were regulated mainly by experiment length,biochar application rate,biochar properties,providing a new perspective for more comprehensive understanding on biochar.The bio-char derived from husk was recommended to apply to cropland with an application rate of 20-30 t·ha^(−1). | Xinzhang Song Genxing Pan Chao Zhang Lu Zhang Hailong Wang | 2016 | Ecosystem Health and Sustainability2016，2，2： | 8 |
| 8 | Evolution and future of urban ecological science:ecology in,of,and for the city显示文摘The contrast between ecology in cities and ecology of cities has emphasized the increasing scope of urban ecosystem research.Ecology in focuses on terrestrial and aquatic patches within cities,suburbs,and exurbs as analogs of non-urban habitats.Urban fabric outside analog patches is considered to be inhospi-table matrix.Ecology of the city differs from ecology in by treating entire urban mosaics as social-ecolog-ical systems.Ecology of urban ecosystems incorporates biological,social,and built components.Originally posed as a metaphor to visualize disciplinary evolution,this paper suggests that the contrast has conceptual,empirical,and methodological contents.That is,the contrast constitutes a disciplinary or“local”paradigm shift.The paradigm change between ecology in and ecology of represents increased complexity,moving from focus on biotic communities to holistic social-ecological systems.A third paradigm,ecology for the city,has emerged due to concern for urban sustainability.While ecology for includes the knowledge generated by both ecology in and ecology of,it considers researchers as a part of the system,and acknowledges that they may help envision and advance the social goals of urban sustainability.Using urban heterogeneity as a key urban feature,the three paradigms are shown to contrast in five important ways:disciplinary focus,the relevant theory of spatial heterogeneity,the technology for representing spatial structure,the resulting classification of urban mosaics,and the nature of application to sustainability.Ecology for the city encourages ecologists to engage with other specialists and urban dwellers to shape a more sustainable urban future. | Steward T.A.Pickett Mary L.Cadenasso Daniel L.Childers Mark J.McDonnell Weiqi Zhou | 2016 | Ecosystem Health and Sustainability2016，2，7： | 7 |
| 9 | Use of models in large-area forest surveys: comparing model-assisted, model-based and hybrid estimation显示文摘This paper focuses on the use of models for increasing the precision of estimators in large-area forest surveys.It is motivated by the increasing availability of remotely sensed data,which facilitates the development of models predicting the variables of interest in forest surveys.We present,review and compare three different estimation frameworks where models play a core role:model-assisted,model-based,and hybrid estimation.The first two are well known,whereas the third has only recently been introduced in forest surveys.Hybrid inference mixes designbased and model-based inference,since it relies on a probability sample of auxiliary data and a model predicting the target variable from the auxiliary data.We review studies on large-area forest surveys based on model-assisted,modelbased,and hybrid estimation,and discuss advantages and disadvantages of the approaches.We conclude that no general recommendations can be made about whether model-assisted,model-based,or hybrid estimation should be preferred.The choice depends on the objective of the survey and the possibilities to acquire appropriate field and remotely sensed data.We also conclude that modelling approaches can only be successfully applied for estimating target variables such as growing stock volume or biomass,which are adequately related to commonly available remotely sensed data,and thus purely field based surveys remain important for several important forest parameters. | Goran Stahl Svetlana Saarela Sebastian Schnell Soren Holm Johannes Breidenbach Sean P. Healey Paul L. Patterson Steen Magnussen Erik Naesset Ronald E. McRoberts Timothy G. Gregoire | 2016 | Forest Ecosystems2016，3，2： | 7 |
| 10 | Decomposition dynamics of coarse woody debris of three important central European tree species显示文摘Background:Coarse woody debris(CWD)is an important element of forest structure that needs to be considered when managing forests for biodiversity,carbon storage or bioenergy.To manage it effectively,dynamics of CWD decomposition should be known.Methods:Using a chronosequence approach,we assessed the decomposition rates of downed CWD of Fagus sylvatica,Picea abies and Pinus sylvestris,which was sampled from three different years of tree fall and three different initial diameter classes(>10 –≤ 20 cm,>20 –≤40 cm,>40 cm).Samples originating from wind throws in 1999 were collected along a temperature and precipitation gradient.Based on the decay class and associated wood densities,log volumes were converted into CWD mass and C content.Log fragmentation was assessed over one year for log segments of intermediate diameters(>20 – 40 cm)after 8 and 18 years of decomposition.Results:Significantly higher decomposition constants(k)were found in logs of F.sylvatica(0.054 year^(-1))than in P.abies(0.033 year^(-1))and P.sylvestris(0.032 year^(-1)).However,mass loss of P.sylvestris occurred mainly in sapwood and hence k for the whole wood may be overestimated.Decomposition rates generally decreased with increasing log diameter class except for smaller dimensions in P.abies.About 74 % of the variation in mass remaining could be explained by decomposition time(27 %),tree species(11 %),diameter(17 %),the interactive effects between tree species and diameter(4 %)as well as between decomposition time and tree species(3 %)and a random factor(site and tree; 9.5 %),whereas temperature explained only 2 %.Wood fragmentation may play a more important role than previously thought.Here,between 14 % and 30 % of the decomposition rates(for the first 18 years)were attributable to this process.Carbon(C)density(mg C · cm^(-3)),which was initially highest for F.sylvatica,followed by P.sylvestris and P.abies,decreased with increasing decay stage to similar values for all species.Conclusions:The apparent lack of climate effects on decomposition of logs in the field indicates that regional decomposition models for CWD may be developed on the basis of information on decomposition time,tree species and dimension only.These can then be used to predict C dynamics in CWD as input for C accounting models and for habitat management. | Steffen Herrmann Tiemo Kahl Jürgen Bauhus | 2015 | Forest Ecosystems2015，2，4： | 7 |
| 11 | Global methane and nitrous oxide emissions from terrestrial ecosystems due to multiple environmental changes显示文摘Greenhouse gas(GHG)-induced climate change is among the most pressing sustainability challenges facing humanity today,posing serious risks for ecosystem health.Methane(CH_(4))and nitrous oxide(N_(2)O)are the two most important GHGs after carbon dioxide(CO_(2)),but their regional and global budgets are not well known.In this study,we applied a process-based coupled biogeochemical model to concurrently estimate the magnitude and spatial and temporal patterns of CH_(4)and N_(2)O fluxes as driven by multiple environmental changes,including climate variability,rising atmospheric CO_(2),increasing nitrogen deposition,tropospheric ozone pollution,land use change,and nitrogen fertilizer use.The estimated CH_(4)and N_(2)O emissions from global land ecosystems during 1981-2010 were 144.39±12.90 Tg C/yr(mean 62 SE;1 Tg=1012 g)and 12.52±0.74 Tg N/yr,respectively.Our simulations indicated a significant(P,0.01)annually increasing trend for CH_(4)(0.43±0.06 Tg C/yr)and N_(2)O(0.14±0.02 Tg N/yr)in the study period.CH_(4)and N_(2)O emissions increased significantly in most climatic zones and continents,especially in the tropical regions and Asia.The most rapid increase in CH_(4)emission was found in natural wetlands and rice fields due to increased rice cultivation area and climate warming.N_(2)O emission increased substantially in all the biome types and the largest increase occurred in upland crops due to increasing air temperature and nitrogen fertilizer use.Clearly,the three major GHGs(CH_(4),N_(2)O,and CO_(2))should be simultaneously considered when evaluating if a policy is effective to mitigate climate change. | Hanqin Tian Guangsheng Chen Chaoqun Lu Xiaofeng Xu Wei Ren Bowen Zhang Kamaljit Banger Bo Tao Shufen Pan Mingliang Liu Chi Zhang Lori Bruhwiler Steven Wofsy | 2015 | Ecosystem Health and Sustainability2015，1，1： | 7 |
| 12 | Optimizing continuous cover management of boreal forest when timber prices and tree growth are stochastic显示文摘Background: Decisions on forest management are made under risk and uncertainty because the stand development cannot be predicted exactly and future timber prices are unknown. Deterministic calculations may lead to biased advice on optimal forest management. The study optimized continuous cover management of boreal forest in a situation where tree growth, regeneration, and timber prices include uncertainty.Methods: Both anticipatory and adaptive optimization approaches were used. The adaptive approach optimized the reservation price function instead of fixed cutting years. The future prices of different timber assortments were described by cross-correlated auto-regressive models. The high variation around ingrowth model was simulated using a model that describes the cross- and autocorrelations of the regeneration results of different species and years. Tree growth was predicted with individual tree models, the predictions of which were adjusted on the basis of a climate-induced growth trend, which was stochastic. Residuals of the deterministic diameter growth model were also simulated. They consisted of random tree factors and cross- and autocorrelated temporal terms.Results: Of the analyzed factors, timber price caused most uncertainty in the calculation of the net present value of a certain management schedule. Ingrowth and climate trend were less significant sources of risk and uncertainty than tree growth. Stochastic anticipatory optimization led to more diverse post-cutting stand structures than obtained in deterministic optimization. Cutting interval was shorter when risk and uncertainty were included in the analyses.Conclusions: Adaptive optimization and management led to 6%–14% higher net present values than obtained in management that was based on anticipatory optimization. Increasing risk aversion of the forest landowner led to earlier cuttings in a mature stand. The effect of risk attitude on optimization results was small. | Timo Pukkala | 2015 | Forest Ecosystems2015，2，2： | 6 |
| 13 | Spatio-temporal characteristics of cultivated land fragmentation in different landform areas with a case study in Northeast China显示文摘Assessing the temporal and spatial characteristics of cultivated land fragmentation is necessary to identify management practices that can reduce negative environmental effects.Thus,the purpose of this study was to use principal component analysis and spatial autocorrelation to analyze the dynamic characteristics of cultivated land fragmentation in different landform areas in Liaoning Province,China,in terms of time and space.An additional objective was to match the changes with the natural and social environment to support the sustainable development of fragmented cultivated land.The results indicated that the evolutionary trends of cultivated land fragmentation in the central plain area showed a weakening trend,contrary to those observed in the western hilly and eastern mountainous areas.Moreover,the spatial distribution characteristics of cultivated land fragmentation in the western hilly area were generally“external low,internal high,”primarily because of the edge density of cultivated land patches.The spatial distribution characteristics of cultivated land fragmentation in the central plain area were generally“external high,internal low,”primarily because of the number and division of cultivated land patches.The spatial distribution characteristics of cultivated land fragmentation in the eastern mountainous area were generally“south low,north high”because of the division of cultivated land patches.These results can provide guidelines for planners,managers,decision-makers and others to formulate regulatory policies,identify land remediation areas,and promote the sustainable development of cultivated land. | Fengkui Qian Yanru Chi Rattan Lal Klaus Lorenz | 2020 | Ecosystem Health and Sustainability2020，6，1： | 6 |
| 14 | Designing near-natural planting patterns for plantation forests in China显示文摘Background: China has a long tradition of managing planted forests. Different species of Populus, Eucalyptus, Larix, Cunninghamia and Pinus are planted to satisfy the local demand for wood products and provide ecological services at the same time. Evidence of the greater resilience of natural forests provides the motivation to develop asymmetric planting patterns, which is the focus of this study. We present a new method for designing plantation patterns that follow those observed in natural ecosystems and to maintain some regularity for operational convenience. Methods: Based on the uniform angle index, we analyzed the spatial structure of six natural forests in different regions of China. The uniform angle index describes the degree of spatial uniformity of the n nearest neighbors of a given reference tree. Accordingly, we identified all possible patterns of a neighborhood group within a regular planting pattern and developed a method to optimize planting point arrangements that contain some randomness as well as a minimum degree of regularity. Results:(1) There are 13 types of structural units in a regular planting, including seven random units, five even units and one cluster unit;(2) Five near-natural arrangements are presented with a minimum proportion of 50% of random units. These five arrangements represent a combination of regularity for operational convenience and asymmetry. Conclusions: The new planting patterns developed in this study are expected to increase the asymmetric competition and resilience of these important ecosystems. Some experimental plantings, based on our findings, have already been established, e.g., in Pinus tabulaeformis plantations in Tianshui, Gansu Province, and in a Populus deltoides plantation in Fangshan near Beijing. | Gongqiao Zhang Gangying Hui Yanbo Hu Zhonghua Zhao Xiuling Guan Klaus von Gadow Ganggang Zhang | 2019 | Forest Ecosystems2019，6，3： | 6 |
| 15 | Global urbanization as a shifting context for applying ecological science toward the sustainable city显示文摘There is an abundance of conceptual frameworks relevant to sustainability in urban systems.However,to advance urban ecological science and its application to sustainable urban transformations,key existing frameworks must be synthesized.This paper is a conceptual synthesis cast in essay form in order to encompass a broad range of relevant ideas.It starts from the premise that the familiar models of metropolitan and megalopolitan urban structure,of industrially driven urban development,and of the contrasts between urban and non-urban lands are manifestly inadequate representations of evolving global reality.Such inadequacy is illustrated with examples from the United States and from China.Both the form and the interactions involved in contemporary urbanization and urban change suggest the need for a new integrated framework synthesizing two existing yet still evolving concepts:(1)The urban megaregion framework accommodates the spatial extent,interdigitation of contrasting land uses,and the linked spatial relations between nominally urban and nominally rural areas.(2)The new concept of the continuum of urbanity emphasizes the shifts in livelihood and lifestyle driven by regional and global teleconnections and their joint effects on local environments and landscapes.Together these frameworks suggest a common conceptual structure for addressing urban areas of different ages,sizes,forms,and dynamics in both urbanizing and urbanized areas in developing and developed countries and regions.The synthesis of frameworks points to empirical research needs,and has the potential to better match sustainability plans and actions with the diverse urban forms and dynamics now appearing around the world. | Steward T.A.Pickett Weiqi Zhou | 2015 | Ecosystem Health and Sustainability2015，1，1： | 6 |
| 16 | Diversity and production in an Afromontane Forest显示文摘Background:This contribution evaluates the effect of forest structure and tree species diversity on plot productivity and individual tree growth in the unique Knysna forests in Southern Africa using mapped tree data from an observational study that has been re-measured over a period of 40 years.Methods:The effects of tree species diversity and forest structure on tree growth and forest production are evaluated on three levels of resolution:a) the forest community(canopy,sub-canopy species),b) the subplots(number of trees per ha,skewness of the diameter distribution,diameter coefficient of variation) and c) the immediate neighborhood of selected reference trees('Mingling','Dominance',Aggregation' and 'Size Variation').Results:An analysis of the community level identified two distinct clusters,one including dominant/canopy species with the highest growth rates and a greater variation of growth,and another cluster which includes the remaining subcanopy species which have a smaller maximum size and lower rates of growth.The area-based structure variables on plot level have a highly significant effect on total basal area growth.However,the effects of forest density and species richness on productivity were not straight forward.Maximum basal area production of about 0.75 m^2/ha/year is achieved at medium levels of richness(around 20 species per ha) and medium levels of density(around 30 m^2/ha basal area) using percentile regression estimates.The relative 'Dominance' of a selected reference tree had a highly significant effect on individual tree growth on all investigated species.Other neighbourhood structure variables were only occasionally significant or not significant at all.Conclusion:This contribution presents a new theoretical framework for analysing natural forests that includes community,plot and neighborhood variables of forest structure and diversity,and a first specific analysis of the structure and dynamics of the Knysna Afromontane Forest,based on a unique set of longterm observations.The species-area(SAR) model developed in this study,represents a new general approach that can be used to derive a common standard of tree species diversity for different plot sizes,the species richness per hectare. | Klaus v.Gadow GongQiao Zhang Graham Durrheim David Drew Armin Seydack | 2016 | Forest Ecosystems2016，3，4： | 5 |
| 17 | Analysis of intrinsic value and estimating losses of “blue carbon”in coastal wetlands:a case study of Yancheng, China显示文摘Introduction:Large stocks of“blue carbon”exist in the ecosystems of coastal wetlands.This paper presents a case study of the Chinese city of Yancheng.First,through field surveys and laboratory analysis,changes in the organic carbon(OC)content in typical plant communities throughout the study area are described in detail.Second,an OC burial rate and economic value model is constructed to analyze the composition of the carbon sink values.Outcomes/other:The results are as follows:Of the typical plant communities,Spartina alterniflora has the highest OC content(5.80 g·kg-1),followed by Suaeda glauca(4.78 g·kg-1)and Phragmites australis(3.76 g·kg-1);the contemporary OC sedimentation rates are 2.01,1.48,and 1.22 cm·yr-1,respectively.Spartina alterniflora communities have the highest annual average carbon sink value($418.74/ha)in the study area,followed by Phragmites australis($176.29/ha)and Suaeda glauca($101.54/ha).Discussion:As a result of both the expansion of the Spartina alterniflora area and coastal erosion,the total OC value since 1987 has displayed two-stage characteristics:it first increased and then decreased.Conclusion:In recent years,the annual average decline in OC value has ranged from approximately$82,100 to$123,100(reference:the Sweden carbon tax provided by the World Bank,130$/ton) | Zheng Zang | 2019 | Ecosystem Health and Sustainability2019，5，1： | 5 |
| 18 | Estimating the productive potential of five natural forest types in northeastern China显示文摘Background: There is a serious lack of experience regarding the productive potential of the natural forests in northeastern China, which severely limits the development of sustainable forest management strategies for this most important forest region in China. Accordingly, the objective of this study is to develop a first comprehensive system for estimating the wood production for the five dominant forest types.Methods: Based on a network of 384 field plots and using the state-space approach, we develop a system of dynamic stand models, for each of the five main forest types. Four models were developed and evaluated, including a base model and three extended models which include the effects of dominant height and climate variables. The four models were fitted, and their predictive strengths were tested, using the 'seemingly unrelated regression'(SUR) technique.Results: All three of the extended models increased the accuracy of the predictions at varying degrees for the five major natural forest types of northeastern China. The inclusion of dominant height and two climate factors(precipitation and temperature) in the base model resulted in the best performance for all the forest types. On average, the root mean square values were reduced by 13.0% when compared with the base model.Conclusion: Both dominant height and climate factors were important variables in estimating forest production. This study not only presents a new method for estimating forest production for a large region, but also explains regional differences in the effect of site productivity and climate. | Zhaofei Wu Zhonghui Zhang Juan Wang | 2019 | Forest Ecosystems2019，6，4： | 5 |
| 19 | Soil-plant co-stimulation during forest vegetation restoration in a subtropical area of southern China显示文摘Background: Soil and vegetation have a direct impact on the process and direction of plant community succession, and determine the structure, function, and productivity of ecosystems. However, little is known about the synergistic influence of soil physicochemical properties and vegetation features on vegetation restoration. The aim of this study was to investigate the co-evolution of soil physicochemical properties and vegetation features in the process of vegetation restoration, and to distinguish the primary and secondary relationships between soil and vegetation in their collaborative effects on promoting vegetation restoration in a subtropical area of China.Methods: Soil samples were collected to 40 cm in four distinct plant communities along a restoration gradient from herb(4–5 years), to shrub(11–12 years), to Pinus massoniana coniferous and broadleaved mixed forest(45–46 years), and to evergreen broadleaved forest(old growth forest). Measurements were taken of the soil physicochemical properties and Shannon–Wiener index(SD), diameter at breast height(DBH), height(H), and biomass. Principal component analysis, linear function analysis, and variation partitioning analysis were then performed to prioritize the relative importance of the leading factors affecting vegetation restoration.Results: Soil physicochemical properties and vegetation features showed a significant trend of improvement across the vegetation restoration gradient, reflected mainly in the high response rates of soil organic carbon(SOC)(140.76%), total nitrogen(TN)(222.48%), total phosphorus(TP)(59.54%), alkaline hydrolysis nitrogen(AN)(544.65%),available phosphorus(AP)(53.28%), species diversity(86.3%), biomass(2906.52%), DBH(128.11%), and H(596.97%).The soil properties(pH, SOC, TN, AN, and TP) and vegetation features(biomass, DBH, and H) had a clear coevolutionary relationship over the course of restoration. The synergistic interaction between soil properties and vegetation features had the greatest effect on biomass(55.55%–72.37%), and the soil properties contributed secondarily(3.30%–31.44%). The main impact factors of biomass varied with the restoration periods.Conclusions: In the process of vegetation restoration, soil and vegetation promoted each other. Vegetation restoration was the cumulative result of changes in soil fertility and vegetation features. | Chan Chen Xi Fang Wenhua Xiang Pifeng Lei Shuai Ouyang and Yakov Kuzyakov | 2020 | Forest Ecosystems2020，7，3： | 5 |
| 20 | Integrated evaluation of payments for ecosystem services programs in China:a systematic review显示文摘Introduction:During the past two decades,payments for ecosystem services(PES)program has become a popular conservation paradigm for realigning socioeconomic costs and benefits among different stakeholders.As billions of investment flows into the natural capital pool,there is growing interest to understand the ecological,economic,and social outcomes of PES programs.China is one of the countries that extensively implements PES programs.Although there is a growing interest to perform impact evaluation of China’s massive PES programs,it is unclear that what existing literature has done,has not done,and should do in the future.Therefore,to guide further research and practices,we conduct a systematic review of studies on China’s PES programs.Results:Our review shows that there are growing impact evaluation studies of PES programs in China.However,the spatial and ecosystem distributions of existing studies are quite uneven.Most case studies were poorly designed,rarely quantified,and evaluated without sophisticated methods.Among the three dimensions of ecological effectiveness,economic efficiency,and social equity,economic efficiency is the least studied.Discussion and Conclusion:We further discuss the challenges and opportunities and provide insights for future research.To improve the understanding and management of natural capital,we call for mainstreaming impact evaluation of ecosystem service policies in China and beyond following the state-of-art procedures. | Wu Yang Qiaoling Lu | 2018 | Ecosystem Health and Sustainability2018，4，3： | 5 |
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