全球气候变化对中国森林生态系统的影响

人类活动所引起的温室效应及由此造成的全球气候变化和对全球生态环境的影响正引起人们越来越多的重视.作为全球陆地生态系统一个重要组分,中国的森林生态系统对未来全球气候变化的响应更是人们关注的重点.作者系统地总结了全球气候变化对中国森林生态系统分布、生态系统生产力、森林树种以及森林土壤的影响,指出了现阶段该领域研究中存在的一些问题,并对今后需要加强的一些核心问题与研究重点作了展望.     

陆地生态系统与全球变化相互作用的研究进展

全球变化及其对生态系统特别是陆地生态系统的影响已经严重地影响到人类生存环境与社会经济的可持续发展 ,引起了各国政府、科学家及公众的高度关注。文中从CO2 浓度倍增、温度变化、水分变化、水热与CO2 协同作用、辐射变化、臭氧变化以及人为干扰等气候环境变化对植物光合生理、生长发育、物质分配、水分利用、碳氮代谢等的影响方面阐述了全球变化影响生态系统的过程与机理 ;从地理分布范围、物候、结构与功能、生态系统的稳定性等方面分析了中国植被、森林生态系统、草原生态系统与农田生态系统对全球变化的响应 ;从植被变化引起的动力条件与热力条件的变化及植被固碳潜力的变化探讨了植被对于气候的反馈作用。在此基础上 ,基于当前全球变化研究前沿 ,提出了未来关于陆地生态系统与全球变化相互作用研究需要重视的方面 ,尤其是关于生态系统对全球变化响应的阈值研究应引起高度重视。     

全球干旱指数研究进展

干旱是世界最严重的气象灾害, 是自然灾害中经济损失最重、影响范围最广的灾害。我国深受干旱灾害的影响, 近几十年干旱事件频繁发生, 给社会造成的不利影响和对人们生存环境的危害日趋严重。因此, 讨论全球干旱指数研究进展对于我国干旱研究及防旱抗旱工作具有重要意义。该文系统介绍全球特别是欧美等国气象干旱指数、农业干旱指数、水文干旱指数、遥感干旱指数以及综合干旱指数研究进展, 并与我国干旱指数研究情况对比。探讨我国在干旱研究领域存在的主要问题, 包括干旱指数适用性比较不足, 新的机理性干旱监测指数研究不足, 干旱预测预警研究不足。因此加强干旱机理机制研究、开展干旱监测准确性定量评估和加强数值模式在干旱预测预警中的应用是未来研究的重点和难点。     

准全球陆表干旱严重程度的多传感器遥感监测方法研究

在全球气候变暖的背景下,持续的干旱事件将对生态系统和人类社会产生不利影响。尽管存在多源卫星遥感资料及多种干旱指数,然而区域和全球尺度干旱事件的监测仍具有挑战。采用TRMM（Tropical RainfallMeasuring Mission）数据量化降水异常、MODIS（Moderate Resolution Imaging Spectroradiometer）归一化植被指数（Normalized Difference Vegetation Index,NDVI）和陆表温度（Land Surface Temperature,LST）数据表征植被生长异常,构建了一种兼顾降水异常和植被生长状况异常的多传感器陆表干旱严重程度指数（Multi-sensorsDrought Severity Index,MDSI）。结果表明:MDSI 能够准确检测准全球范围（50°S～50°N,0°～180°～0°）的气象干旱事件,如亚马逊流域2005 和2010 年干旱、中国川渝地区2006 年干旱、中国云南2010 年干旱、非洲东部2011 年干旱、2012 年美国中部干旱等;MDSI 与PDSI（Palmer Drought Severity Index）呈现出大致相同的干湿空间格局,并且MDSI 有助于湿润地区干旱程度的检测。     

Evaluation of the individual allocation scheme and its impacts in a dynamic global vegetation model

植物的生长策略不仅影响生态系统结构,而且对全球碳、水循环也起着至关重要的作用。本文以中国科学院大气物理研究所研发的第一代全球植被动力学模式IAP-DGVM1.0为平台,考察森林生态系统中树的个体生长方案及其影响。结果表明,与观测相比,模式高估了个体茎生物量,低估了个体叶生物量,从而进一步高估了中国森林生态系统的总生物量和成熟林受干扰后恢复的时间尺度,低估了生态系统净初级生产力和叶面积指数。     

我国西南干旱研究最新进展综述

随着全球气候变化,重大干旱等极端气候事件有增加趋势。我国历来是受干旱危害最严重的国家之一,近年来干旱强度和受旱区域不断增加,而且开始由干旱半干旱区向湿润区发展。雨水充沛、气候湿润的西南地区,近年来发生持续数年的严重干旱事件,给当地社会经济造成重大损失,并引起了广泛关注。许多学者也对西南干旱进行了分析研究,他们通过分析西南地区降水和温度的时空分布特征,以及影响西南干旱的大气环流和天气系统,寻找造成西南干旱的发生规律、特征和形成机理;还有学者运用干旱指数、卫星遥感等方法研究了西南干旱的监测技术。本文研阅了近10 a来大量相关文献,对西南干旱的最新研究成果进行了总结和评述,力图为西南乃至其它区域干旱的研究提供借鉴,为干旱防灾减灾提供帮助。     

干旱河岸林生态系统对局地地表温度影响的生物物理机制研究

森林在全球碳循环和调节局地温度等方面具有重要的作用。但是,关于干旱区森林生物物理过程如何影响局地温度的研究仍然未得到充分的重视。在本研究中,以西北干旱区内陆河典型河岸林生态系统和荒漠为研究对象,通过综合利用野外观测数据和温度分解方法(Decomposed Temperature Metric,DTM),系统分析了河岸林生态系统对局地温度的影响机制。结果表明：与荒漠相比,河岸林生态系统冠层净辐射量要显著高于周围荒漠(35.4 W·m^-2);河岸林生态系统整体表现为降温作用,年均降温值为-1.28℃。但具有明显的季节变化特征,即从11月到次年2月,河岸林冠层温度略高于荒漠地表温度(ΔT_s=0.5℃);从3-10月,河岸林冠层温度则要低于荒漠,表现为降温效应(ΔT_s为-3.6～-0.6℃)。DTM方法表明：向下长波辐射的增加和地表反照率的下降是导致河岸林冠层温度升高的主要因素,而蒸散发是降低河岸林冠层温度的主要驱动因素。该研究不仅有助于提升我们对干旱生态系统与气候相互作用的认识,也对合理评估干旱生态系统的生态服务功能具有重要的...     

中国干旱事件成因和变化规律的研究进展与展望

干旱是世界上危害最广泛、最严重的自然灾害之一。中国地处典型季风气候区,干旱灾害的影响尤为突出。国际上对干旱问题已经进行了大量研究,逐渐由对干旱的定性和表象的认识发展到对干旱客观特征的定量认识和形成机理的深入揭示。自新中国成立以来,中国从以往仅对一些重大干旱事件的零散认识逐步发展到与国际干旱研究的完全接轨,干旱研究取得了长足进展。但是,目前对干旱研究取得的科学进展缺乏客观全面的整体认识,对干旱研究的发展方向尚未能充分洞察。为此,基于国际干旱研究现状,系统回顾了新中国成立以来中国干旱研究的历程,总结了中国干旱研究的重要进展,划分出了干旱事件的现象特征和时空分布、干旱形成机理及变化规律、干旱灾害风险和骤发性干旱研究兴起等中国干旱研究的4个主要发展过程。并从干旱事件特征、干旱时空分布、干旱变化规律、干旱成因、干旱影响机制、干旱风险形成过程以及干旱对气候变暖的响应、骤发性干旱的特殊性等方面归纳凝练了中国干旱研究的主要成果。同时,结合干旱研究的国际前沿、热点问题和发展趋势,科学分析了中国干旱研究的不足和问题,提出了中国未来干旱研究需要在加强典型干旱频发区综合性干旱科学试验研究的基础上,对干旱形成的多因子协同影响、陆-气作用对干旱形成发展的作用、骤发性干旱的判别及监测预测、各类干旱之间转换规律及其非一致性特征、关键影响期对农业干旱发展的作用、干旱对气候变暖响应的复杂性、干旱灾害风险的科学评估等重点科学问题上取得突破。      

草原生态系统对气候变化和CO2浓度升高的响应

近年来,全球变化和区域响应已成为生态学、植物学、地学和农学的研究热点之一。全球变化引起全球温度升高、降水格局发生变化和土地利用方式改变，研究草原生态系统对全球变化的响应与适应是了解发展和预测陆地生态系统与全球变化相互关系的重要方面。文章对近十年来国内外在CO₂浓度升高、温度增加、水分变化等方面对草原生态系统影响的研究进行了评述, 以期加深草原生态系统对全球变化响应的理解，启发研究思路, 激发兴趣。最后提出了应着重加强研究的8个科学问题。     

陆地生态系统模型及其与气候模式耦合的回顾

陆地生态系统和气候系统通过能量通量、水汽通量、物质交换相互影响、作用。作者对陆地生态系统模型及其与气候模式耦合的研究进行综述和讨论,总结了当代5类主要全球陆地生态系统模型,即生物地理模型、生物地球化学模型、森林林窗模型、陆面生物圈模型和动态全球植被模型,以及它们与气候模式耦合的研究进展。阐述了动态全球植被模型及其与气候模式耦合研究在全球变化研究的重要作用。最后,对未来模拟研究的方向进行了分析。     

成熟森林生态系统土壤有机碳积累:实现碳中和目标的一条重要途径

为了应对全球气候变化带来的挑战,2020年9月中国提出努力争取在2060年前实现碳中和。对此,生态系统固碳被寄予厚望;然而,生态学理论认为,成熟生态系统的碳输入输出趋于平衡,没有碳的净积累,也就没有碳汇功能,而未成熟的生态系统虽有碳的净积累并具有碳汇功能,但自然界任何未成熟生态系统从它建立的时候开始都在不断地向成熟生态系统演替,即任一生态系统演替的最终结果必然是碳输入输出达到平衡状态。由于森林生态系统碳库是陆地生态系统中最大的碳库,所以人们对其在碳中和上的贡献充满期待。本文以森林生态系统为例,分别考虑森林生态系统碳库的生物量碳库和土壤有机碳库,并基于全球最新研究成果,论证了森林生态系统土壤碳库积累过程具有长久的固碳功能,且不违背成熟生态系统碳输入输出趋于平衡的生态学理论,它能为实现碳中和目标做出贡献。     

Drought in the Southern United States over the 20th century: variability and its impacts on terrestrial ecosystem productivity and carbon storage

Drought is one of the most devastating natural hazards faced by the Southern United States (SUS). Drought events and their adverse impacts on the economy, society and environment have been extensively reported during 1895?C2007. Our aim is thus to characterize drought conditions in the SUS and explore the impacts on terrestrial ecosystem function (i.e., net primary productivity (NPP) and net carbon exchange (NCE)). Standard precipitation index (SPI) was used to characterize drought intensity and duration, and a process-based ecosystem model was used to explore the relationship between drought and ecosystem function. Combining overall information on growing-season SPI, drought area and duration, we concluded there was no significant change in drought conditions for the SUS during 1895?C2007. However, increased drought intensity was found for many areas in the east, resulting in significant decreases in NPP for these areas, with the largest decrease up to 40% during extreme droughts. Changes in precipitation patterns increased C emissions of 0.16 Pg (1 Pg?=?10¹⁵?g) in the SUS during 1895?C2007. The west (dry region) acted as a C sink due to increased precipitation, while the east (water-rich region) acted as a C source due to increased drought intensity. Both NPP and NCE significantly increased along a gradient of declining drought intensity. Changes in precipitation resulted in C sources in forest, wetland, and cropland ecosystems, while C sinks in shrubland and grassland ecosystems. Changes in air temperature could either enhance or reduce drought impacts on NPP and NCE across different vegetation types.     

Assessment of an Evapotranspiration Deficit Drought Index in Relation to Impacts on Ecosystems

Ecosystems have increasingly been subject to the challenge of heavy drought under global warming. To quantitatively evaluate the impacts of drought on ecosystems, it is necessary to develop a drought index that can sensitively depict the response of vegetation to drought evolution at a biological time scale. For the ability of direct connection between climate and ecosystem by deficit of evapotranspiration, in the present study, a drought index was defined based on standardized evapotranspiration deficit (SEDI), according to the difference between actual and potential evapotranspiration, to meet the need for highlighting drought impacts on ecological processes. Comparisons with traditional indices show that SEDI can reasonably detect droughts and climatic dry and wet transitions, especially at a monthly time scale, and can also regenerate long-term trends. Moreover, SEDI can more sensitively capture the biological changes of ecosystems in response to the dynamics of drought intensity, compared with the indices of precipitation and temperature. SEDI is more practical than the precipitation and temperature indices to highlight signals of biological effects in climate droughts. Hence, it has potential for use in assessments of climate change and its impact on ecosystems.     

Modeling soil thermal and hydrological dynamics and changes of growing season in Alaskan terrestrial ecosystems

Abundant evidence indicates the growing season has been changed in the Alaskan terrestrial ecosystems in the last century as climate warms. Reasonable simulations of growing season length, onset, and ending are critical to a better understanding of carbon dynamics in these ecosystems. Recent ecosystem modeling studies have been slow to consider the interactive effects of soil thermal and hydrological dynamics on growing season changes in northern high latitudes. Here, we develop a coupled framework to model these dynamics and their effects on plant growing season at a daily time step. In this framework, we (1) incorporate a daily time step snow model into our existing hydrological and soil thermal models and (2) explicitly model the moisture effects on soil thermal conductivity and heat capacity and the effects of active layer depth and soil temperature on hydrological dynamics. The new framework is able to well simulate snow depth and soil temperature profiles for both boreal forest and tundra ecosystems at the site level. The framework is then applied to Alaskan boreal forest and tundra ecosystems for the period 1923–2099. Regional simulations show that (1) for the historical period, the growing season length, onset, and ending, estimated based on the mean soil temperature of the top 20 cm soils, and the annual cycle of snow dynamics, agree well with estimates based on satellite data and other approaches and (2) for the projected period, the plant growing season length shows an increasing trend in both tundra and boreal forest ecosystems. In response to the projected warming, by year 2099, (1) the snow-free days will be increased by 41.0 and 27.5 days, respectively, in boreal forest and tundra ecosystems and (2) the growing season lengths will be more than 28 and 13 days longer in boreal forest and tundra ecosystems, respectively, compared to 2010. Comparing two sets of simulations with and without considering feedbacks between soil thermal and hydrological dynamics, our analyses suggest coupling hydrological and soil thermal dynamics in Alaskan terrestrial ecosystems is important to model ecosystem dynamics, including growing season changes.     

Taking the Pulse of Mountains: Ecosystem Responses to Climatic Variability

An integrated program of ecosystem modeling and field studies in the mountains of the Pacific Northwest (U.S.A.) has quantified many of the ecological processes affected by climatic variability. Paleoecological and contemporary ecological data in forest ecosystems provided model parameterization and validation at broad spatial and temporal scales for tree growth, tree regeneration and treeline movement. For subalpine tree species, winter precipitation has a strong negative correlation with growth; this relationship is stronger at higher elevations and west-side sites (which have more precipitation). Temperature affects tree growth at some locations with respect to length of growing season (spring) and severity of drought at drier sites (summer). Furthermore, variable but predictable climate-growth relationships across elevation gradients suggest that tree species respond differently to climate at different locations, making a uniform response of these species to future climatic change unlikely. Multi-decadal variability in climate also affects ecosystem processes. Mountain hemlock growth at high-elevation sites is negatively correlated with winter snow depth and positively correlated with the winter Pacific Decadal Oscillation (PDO) index. At low elevations, the reverse is true. Glacier mass balance and fire severity are also linked to PDO. Rapid establishment of trees in subalpine ecosystems during this century is increasing forest cover and reducing meadow cover at many subalpine locations in the western U.S.A. and precipitation (snow depth) is a critical variable regulating conifer expansion. Lastly, modeling potential future ecosystem conditions suggests that increased climatic variability will result in increasing forest fire size and frequency, and reduced net primary productivity in drier, east-side forest ecosystems. As additional empirical data and modeling output become available, we will improve our ability to predict the effects of climatic change across a broad range of climates and mountain ecosystems in the northwestern U.S.A.     

IPCC AR6报告解读：陆地和淡水生态系统及其服务变化

IPCC第六次评估报告（AR6）第二工作组（WGII）报告的第二章表明,气候变化对陆地和淡水生态系统影响的范围和程度较前期评估结果更为严峻。人为气候变化导致生态系统结构、功能和恢复力恶化,生物群落转移,疾病的传播范围和发病率增加,野火燃烧面积增加和持续时间延长,局部地区物种灭绝,极端天气的频率和强度增加。未来气温升高2~4℃情景下,陆地和淡水生态系统中高灭绝风险物种占比为10%~13%,野火燃烧面积增加35%~40%,森林地区50%以上树木面临死亡风险,15%~35%的生态系统结构发生转变,碳损失持续增加,气温的升高将进一步加剧这些风险造成的严重且不可逆的影响。通过生态系统保护和恢复等人为适应和减缓措施,可以在一定程度的气候变化范围内保护生态系统的生物多样性并增强生态系统服务在气候变化下的恢复力。加剧的气候变化将阻碍适应措施的制定和实施,为保证措施的有效性需要考虑气候变化的长期影响并加快适应措施的部署。     

Detecting a Terrestrial Biosphere Sink for Carbon Dioxide: Interannual Ecosystem Modeling for the Mid-1980s

There is considerable uncertainty as to whether interannual variability in climate and terrestrial ecosystem production is sufficient to explain observed variation in atmospheric carbon content over the past 20–30 years. In this paper, we investigated the response of net CO₂ exchange in terrestrial ecosystems to interannual climate variability (1983 to 1988) using global satellite observations as drivers for the NASA-CASA (Carnegie-Ames-Stanford Approach) simulation model. This computer model of net ecosystem production (NEP) is calibrated for interannual simulations driven by monthly satellite vegetation index data (NDVI) from the NOAA Advanced Very High Resolution Radiometer (AVHRR) at 1 degree spatial resolution. Major results from NASA-CASA simulations suggest that from 1985 to 1988, the northern middle-latitude zone (between 30 and 60°N) was the principal region driving progressive annual increases in global net primary production (NPP; i.e., the terrestrial biosphere sink for carbon). The average annual increase in NPP over this predominantly northern forest zone was on the order of +0.4 Pg (10¹⁵ g) C per year. This increase resulted mainly from notable expansion of the growing season for plant carbon fixation toward the zonal latitude extremes, a pattern uniquely demonstrated in our regional visualization results. A net biosphere source flux of CO₂ in 1983–1984, coinciding with an El Niño event, was followed by a major recovery of global NEP in 1985 which lasted through 1987 as a net carbon sink of between 0.4 and 2.6 Pg C per year. Analysis of model controls on NPP and soil heterotrophic CO₂ fluxes (R_h) suggests that regional warming in northern forests can enhance ecosystem production significantly. In seasonally dry tropical zones, periodic drought and temperature drying effects may carry over with at least a two-year lag time to adversely impact ecosystem production. These yearly patterns in our model-predicted NEP are consistent in magnitude with the estimated exchange of CO₂ by the terrestrial biosphere with the atmosphere, as determined by previous isotopic (¹³C) deconvolution analysis. Ecosystem simulation results can help further target locations where net carbon sink fluxes have occurred in the past or may be verified in subsequent field studies.