南亚热带典型森林演替类型粗死木质残体贮量及其对碳循环的潜在影响

森林生态系统中的粗死木质残体(Coarse woody debris, CWD)不仅能够为其它生物提供生境,维持森林结构,而且对生物地球化学循环起着不可忽视的作用,CWD作为森林生态系统中重要的结构和功能元素,已经引起广泛关注。然而,华南地区典型亚热带森林生态系统中CWD的结构和功能方面的研究很少。该文报道了鼎湖山自然保护区内典型南亚热带森林生态系统中CWD的贮量及其特征,所选择的森林包括马尾松(Pinus massoniana)林、针阔叶混交林和季风常绿阔叶林,它们分别代表该气候区域内处于森林演替早期、中期和后期3个阶段的森林类型。其中马尾松林和针阔叶混交林都起源于20世纪30年代人工种植的马尾松纯林,由于长期受到包括收割松针、CWD和林下层植物等在内的人为活动的干扰,到2003年调查时马尾松林仍属于针叶林;而混交林样地自种植之后就未受到人为活动的干扰,自然过渡为针阔叶混交林类型。人为干扰对马尾松人工林的结构和功能产生了巨大的影响,马尾松林的生物量仅为针阔叶混交林生物量的35%。组成马尾松林、针阔叶混交林和季风常绿阔叶林CWD的树种数量分别为7、18和29;马尾松林中几乎没有CWD存在(贮量仅为0.1 Mg C·hm^-2),针阔叶混交林CWD的贮量为8.7 Mg C·hm^-2,季风常绿阔叶林CWD的贮量为13.2 Mg C·hm^-2,分别占地上部分生物量的9.1%和11.3%;针阔叶混交林和季风常绿阔叶林中只有将近10%的CWD以枯立的方式存在。该区域内CWD的分解速率较快,在区域碳循环中将扮演重要角色,保留林地中的CWD是维持本区域森林生产力和森林可持续管理的重要举措。     

南亚热带森林演替过程中土壤线虫群落结构变化

森林演替会通过改变植物群落组成和土壤环境影响土壤生物群落, 反过来, 土壤生物群落的变化也会对生态系统的演替产生反馈作用, 但迄今南亚热带森林演替过程中土壤生物群落的变化特征尚不清晰。本研究以广东省鼎湖山的南亚热带森林演替序列(马尾松(Pinus massoniana)林-针阔叶混交林-季风常绿阔叶林)为对象, 研究了森林演替过程中土壤线虫多样性和群落结构的动态变化及其影响因素。通过采集不同演替阶段的土壤样品, 分析和比对了不同演替阶段土壤线虫的多度、多样性、群落组成、土壤线虫生态指数以及土壤理化性质的差异。结果表明: (1)在南亚热带森林演替过程中, 针阔叶混交林和季风常绿阔叶林土壤线虫的α多样性显著高于马尾松林, 但土壤线虫总数和各营养类群多度及其相对丰度并无显著变化; (2)针阔叶混交林中土壤线虫富集指数显著高于马尾松林, 表明其土壤养分状况要好于马尾松林, 而季风常绿阔叶林土壤线虫结构指数较高, 表明其受干扰程度较低; (3)针阔叶混交林的土壤含水量和土壤理化性质(除土壤总磷含量)已达到季风常绿阔叶林的水平, 但两者的土壤pH值均显著低于马尾松林, 而土壤pH值和土壤含水量是影响土壤线虫群落动态变化的主要因素。综上所述, 南亚热带森林中土壤线虫多度、多样性和群落结构对森林演替的响应略有不同, 演替过程中土壤环境因素的趋同是导致针阔叶混交林和季风常绿阔叶林中土壤线虫多样性和群落特征相似的主要原因。     

鼎湖山森林生态系统演替过程中的能量生态特征

以时空替代的方法,将灌草丛、针叶林、针阔叶混交林和季风常绿阔叶林等４个处于同一空间下的群落当作同一样落演替进程中的４个阶段,研究了鼎湖山南亚热带森林演替过程中的能量生态特征。结果表明,鼎湖山南亚热带森林群落演替过程中,其垂直层次、叶面积指数、冠层对太阳辐射能的截获量、叶生物量、总生物量、总初级生产力、总呼吸量、净初级生产力、枯树木现存量和年输入量、昆虫啃食量、群落的能量现存量等随演替的进程而增加,     

气候变化对中国大兴安岭森林演替动态的影响

应用森林生长演替动态模型-FAREAST,在气候变化背景下对大兴安岭漠河林区森林的演替动态进行了模拟。模拟选择了目前气候情景、增暖情景、温度和降水都增加情景3种气候情景,并考虑了气候变化引起的火干扰变化对森林演替的影响。结果表明:维持目前气候不变,兴安落叶松(Larix gmelini)将继续作为绝对优势树种,樟子松(Pinussylvestris var.mongolica)、桦树(Betula)、杨树(Populus)伴生其中;气候发生变化,东北森林带将有北移的趋势,大兴安岭将可能以温带针阔混交林为主,森林群落中出现红松(P.koraiensis)、蒙古栎(Quercus mongolica)、椴树(Tilia)等树种;火干扰影响森林生物量及森林的物种组成和结构。     

鼎湖山演替系列中代表性森林凋落物研究

研究鼎湖山演替毓中代表性森林－－季风常绿阔叶林（简称阔叶林）、针地混交林（简称混交林）和针叶林（或马尾松林）的调落物产量、组成特征和季节动态变化及其分解速率,结果表明：其年均调落物量（ｔ／ｈｍ＾２）分别为８．２８（７．５７～９．１２）、８．５０（７．８５～９．２６）和３．３１（２．４５～３．７４）;叶、枝和花果杂物的比例（％）分别为６１：１７：２２、６７：１６：１７和７８：４：１８;调落物的调落高     

南亚热带森林演替过程生物量和生产力动态特征

以鼎湖山森林演替的空间系列及黑石顶天然次生林为研究对象,探讨了南亚热带森林群落生物量和生产力动态特征。研究结果表明,随着演替进程的发展,群落的生物量不断积累,但生物量的各用份的动态趋向并不一致,其中叶生物量的最高值出现在演替的中后期．在演替过程中生产力的动态与生物量变化相一致,随着演替的进展第一性生产力不断增加,但演替过程生产力的发展速率不是均匀的,生产力在群落的演变前期发展较侠,在中、后期则发展较慢。     

森林演替在南亚热带森林生态系统碳吸存中的作用

研究了鼎湖山南亚热带森林同一演替系列中3个不同演替阶段(马尾松针叶林、马尾松荷木混交林和季风常绿阔叶林)生态系统碳贮量和分配格局特征,并探讨了该地区森林演替过程中生态系统碳吸存潜力和速度。结果表明:(1)针叶林各组分碳素含量高于阔叶林对应组分的碳素含量(后者是前者的72.0%～94.5%)。两个森林植物碳素含量,不同层次比较,均为乔木层>灌木层>草本层,不同器官比较,以根或干最高。(2)乔木层生物量随森林演替进展而增加。针叶林、混交林和阔叶林乔木层生物量分别为:143.5t/hm2、270.1t/hm2和407.8t/hm2,其中大部分由干和皮组成(各器官占乔木层生物量的比例平均为:叶2.8%、枝19.3%、干和皮混合57.0%、根20.9%)。林下层生物量为4.23～14.10t/hm2,是乔木层的1.0%～9.8%,随森林演替进展而减少。(3)土壤容重随深度增加而增加,但随森林演替进展而减少。与土壤容重相反,土壤有机碳含量随深度增加而明显减少,但随森林演替进展而增加。(4)3种类型森林生态系统碳总贮量分别为135.8t/hm2、215.1t/hm2和259.7t/hm2。生态系统碳贮量在各组分的格局十分相似,植被、土壤和凋落物层所占比例均分别约为67.6%、30.2%和2.2%。与其它地带森林比较,鼎湖山保护区森林植被与土壤碳贮量之比和表层(0～20cm)的土壤碳占整个     

南亚热带演替群落的边缘效应及其对森林片断化恢复的意义

通过对鼎湖山两个群落及其边缘群落的长期定位研究,探讨南亚热带演替群落的边缘效应与森林片断化恢复,通过１６ａ的定位研究,从测度群落的物种结构,多样性,生物量与生产力等指标的比较表明,马尾松林群落和混交林群落本身经过１６ａ的演变,虽然有所发展,但变化不大,群落性质没有改变;边缘群落原非常接近马尾松林群落,经过６ａ的演变,已经发展成为混交林群落,说明边缘效应的作用。边缘群落总体的边缘效应强度Ｅ值为１．６     

南亚热带森林不同演替阶段土壤种子库的初步研究

本文对鼎湖山不同演替阶段的森林（马尾松林、针阔叶混交林、季风常绿阔叶林）的土壤种子库进行了初步研究．分别从各个阶段的样地内抽取４或８个１×１ｍ的小样地,分三层（共１０ｃｍ厚）采集土样,带回实验室,通过萌发法观察记录其土壤种子库状况．通过统计分析,其结果如下：１．种子数量和物种多样性一般随演替发展而减少,种子数目以３—５ｃｍ厚土层为最多．２．各演替阶段土壤种子库的种类组成均以草本植物为主．３．在光照和湿度基本一致的情况下,萌发种子数与温度成正相关．４．雨季取的种子数目较旱季多,且种类组成有所不同．这是因为南亚热带森林内植物种子的休眠期短,在旱季采集土样时许多种的种子尚未下落．５．种子库组成与地上植物相关性不明显,但演替早期阶段的相关性比演替后期更密切。     

中国南亚热带森林不同演替阶段土壤呼吸的分离量化

量化森林土壤呼吸(R_S)及其组分对准确地评估森林土壤碳吸存极其重要。该文以鼎湖山南亚热带季风常绿阔叶林及其演替系列针阔叶混交林和马尾松(Pinus massoniana)林为研究对象, 采用挖壕沟法结合静态气室CO₂测定法对这3种林分类型的R_S进行分离量化。结果表明: 鼎湖山3种森林演替系列上的森林R_S及其组分(自养呼吸R_A、异养呼吸R_H)均呈现出明显的季节动态, 表现为夏季最高、冬季最低的格局。在呼吸总量上, 季风常绿阔叶林显著高于针阔叶混交林和马尾松林, 但混交林与马尾松林之间差异不显著; R_A除季风常绿阔叶林显著大于针阔叶混交林外, 其余林分之间差异不显著; 对于R_H来说, 3个林分之间均无显著差异。随着森林正向演替的进行, 由马尾松林至针阔叶混交林至季风常绿阔叶林, R_A对土壤总呼吸的年平均贡献率分别为(39.48 ± 15.49)%、(33.29 ± 17.19)%和(44.52 ± 10.67)%, 3个林分之间差异不显著。方差分析结果表明, 土壤温度是影响R_S及其组分的主要环境因子, 温度与R_S及其组分呈显著的指数关系; 土壤含水量对R_S的影响不显著, 甚至表现为轻微的抑制现象, 但未达到显著性水平。对温度敏感性指标Q₁₀值的分析表明, 3个林分均为R_A的温度敏感性最大, R_H的温度敏感性最小。     

森林凋落物分解及其对全球气候变化的响应

凋落物分解是重要的森林生态系统过程之一,受到气候、凋落物质量、土壤生物群落等生物和非生物因素的综合调控．迄今,有关不同森林生态系统和不同树种地上部分的凋落物动态、凋落物分解过程中的养分释放动态、生物和非生物因素对凋落物分解的影响等研究报道较多,但对地下凋落物的分解研究相对较少．近年来,森林凋落物分解对以大气CO2浓度增加和温度升高为主要特征的全球变化的响应逐步受到重视,但其研究结果仍具有很多不确定性．因此,未来凋落物生态研究的重点应是凋落物分解对土壤有机碳固定的贡献、地上／地下凋落物的物理、化学和生物学过程及其对各种生态因子（例如冻融、干湿交替）及交互作用的响应、凋落物特别是地下凋落物分解对全球气候变化的响应机制等方面．     

气候变化情景下天宝岩国家级自然保护区森林景观演替长期动态模拟

气候变化将会对森林树种结构、空间结构以及林龄结构等产生重大影响,准确预测森林景观演替对未来气候变化的响应,不仅能够为科学管理森林生态系统提供理论依据,而且对制定生物多样性保护与珍稀物种保护策略也具有重要意义。本文运用LANDIS Pro 7.0与LINKAGES模型,模拟天宝岩国家级自然保护区8个树种在2种不同气候变化情景(RCP4.5和RCP8.5)下未来300年的森林植被演替动态,分析森林景观格局变化特征及其对气候变化的响应。结果表明：毛竹、马尾松、猴头杜鹃、长苞铁杉以及杉木的潜在面积分布与景观格局指数对气候变化的响应较为显著。在气候变化情景下,各树种的景观分维度均介于1.03—1.08,保护区内各景观斑块相对简单规则。毛竹、猴头杜鹃和杉木聚集度下降趋势明显而斑块密度显著上升,长苞铁杉随演替进行面积逐渐减少而聚集度相对较高且斑块密度剧增,马尾松斑块密度缓慢增加而聚集度先降后升,随气候变化这些树种的景观完整度都遭到了不同程度的破坏,且在RCP8.5气候情景下景观破碎化更严重。而气候变化对阔叶林与柳杉的影响则较小,且阔叶林在演替期间斑块密度下降而聚集度稳中有增,潜在面积分布呈现出良好的...     

林窗模型及其在全球气候变化研究中的应用

林窗模型是基于个体的广泛应用于森林长期动态变化的模拟与预测的模型,是研究森林生态系统对气候变化响应的有效工具。本文把林窗模型的发展与演变过程概括为3个阶段:萌芽阶段、飞速发展阶段和提高阶段;展望了林窗模型的未来发展趋势;简要阐述了在全球气候变化背景下应用模型研究森林与气候间关系的可行性与必要性;对国际上相关的研究热点和前沿问题进行了探讨;综述了国内的研究现状,指出国内林窗模型的预测研究应以改进现有模型、构建新模型、耦合多模型作为未来的发展方向。     

Topographic and vegetation drivers of thermal heterogeneity along the boreal–grassland transition zone in western Canada: Implications for climate change refugia

Climate change refugia are areas that are relatively buffered from contemporary climate change and may be important safe havens for wildlife and plants under anthropogenic climate change. Topographic variation is an important driver of thermal heterogeneity, but it is limited in relatively flat landscapes, such as the boreal plain and prairie regions of western Canada. Topographic variation within this region is mostly restricted to river valleys and hill systems, and their effects on local climates are not well documented. We sought to quantify thermal heterogeneity as a function of topography and vegetation cover within major valleys and hill systems across the boreal–grassland transition zone.Using iButton data loggers, we monitored local temperature at four hills and 12 river valley systems that comprised a wide range of habitats and ecosystems in Alberta, Canada (N = 240), between 2014 and 2020. We then modeled monthly temperature by season as a function of topography and different vegetation cover types using general linear mixed effect models.Summer maximum temperatures (T _max) varied nearly 6°C across the elevation gradient sampled. Local summer mean (T _mean) and maximum (T _max) temperatures on steep, north‐facing slopes (i.e., low levels of potential solar radiation) were up to 0.70°C and 2.90°C cooler than highly exposed areas, respectively. T _max in incised valleys was between 0.26 and 0.28°C cooler than other landforms, whereas areas with greater terrain roughness experienced maximum temperatures that were up to 1.62°C cooler. We also found that forest cover buffered temperatures locally, with coniferous and mixedwood forests decreasing summer T _mean from 0.23 to 0.72°C and increasing winter T _min by up to 2°C, relative to non‐forested areas.Spatial predictions of temperatures from iButton data loggers were similar to a gridded climate product (ClimateNA), but the difference between them increased with potential solar radiation, vegetation cover, and terrain roughness.Species that can track their climate niche may be able to compensate for regional climate warming through local migrations to cooler microsites. Topographic and vegetation characteristics that are related to cooler local climates should be considered in the evaluation of future climate change impacts and to identify potential refugia from climate change.     

川渝地区NDVI动态特征及其对气候变化的响应

四川、重庆位于我国西南、长江上游地区,地形条件复杂,区内生态环境对气候变化较为敏感,作为我国现代农业发展区和长江中上游重要生态屏障,探究区域植被覆盖与气候变化之间的关系对该地区生态文明建设与农业可持续发展具有重要意义。基于归一化差值植被指数（NDVI）和气象数据（气温、降水）,采用Sen趋势分析、MK检验和偏相关分析法,以农业地貌分区视角分析1999-2018年川渝地区植被覆盖的时空变化特征,以及植被NDVI与气温和降水之间的时空响应。研究结果表明：（1）川渝地区及各农业地貌分区植被NDVI在近20年均呈显著上升趋势,增长速率为盆周山地区（0.0073/a）>四川盆地区（0.0063/a）>川西南山地区（0.0050/a）>川西高山高原区（0.0026/a）,整体年际变化率为0.0047/a。（2）川渝地区91.51%的NDVI像元值变化为正,空间上呈现出东高西低的总体分布格局,其中盆周山地区NDVI值最高为0.60,川西高山高原区NDVI值最低为0.44。（3）川渝地区整体上NDVI与气温和降水呈正相关,且气温（r=0.707,P<0.01）强于降水（r=0.535,P<0.05）,空间上植被NDVI与气温和降水呈显著正相关区域分别占39.31%、18.92%。（4）不同农业地貌区植被生长与气候变化的响应关系呈现出明显差异。在川西高山高原区NDVI与气温呈显著的正相关关系,但与降水的关系不明显,其中阿坝-若尔盖-红原等高平原地区及西北部石渠等丘状高原地区受气温的显著正效应驱动尤为明显;在四川盆地区和盆周山地区NDVI与气温和降水均呈正相关,特别是东北部平行岭谷及低山丘陵区受气温和降水的正效应影响显著。研究有助于进一步理解川渝地区植被与气候变化的响应机制,并为促进川渝地区生态建设及发展提供参考依据。     

Declining water yield from forested mountain watersheds in response to climate change and forest mesophication

Climate change and forest disturbances are threatening the ability of forested mountain watersheds to provide the clean, reliable, and abundant fresh water necessary to support aquatic ecosystems and a growing human population. Here, we used 76 years of water yield, climate, and field plot vegetation measurements in six unmanaged, reference watersheds in the southern Appalachian Mountains of North Carolina, USA to determine whether water yield has changed over time, and to examine and attribute the causal mechanisms of change. We found that annual water yield increased in some watersheds from 1938 to the mid‐1970s by as much as 55%, but this was followed by decreases up to 22% by 2013. Changes in forest evapotranspiration were consistent with, but opposite in direction to the changes in water yield, with decreases in evapotranspiration up to 31% by the mid‐1970s followed by increases up to 29% until 2013. Vegetation survey data showed commensurate reductions in forest basal area until the mid‐1970s and increases since that time accompanied by a shift in dominance from xerophytic oak and hickory species to several mesophytic species (i.e., mesophication) that use relatively more water. These changes in forest structure and species composition may have decreased water yield by as much as 18% in a given year since the mid‐1970s after accounting for climate. Our results suggest that changes in climate and forest structure and species composition in unmanaged forests brought about by disturbance and natural community dynamics over time can result in large changes in water supply.     

鼎湖山不同演替阶段森林土壤水分时空变异研究

土壤水分作为森林生态系统水分蓄库的主体,森林土壤水分储量及其时空动态与变异对揭示区域植被恢复与气候变化背景下的森林生态系统水文过程响应与服务功能变化机制具有重要意义。本研究以南亚热带地区典型森林植被演替序列马尾松人工林（Pinus massoniana coniferous forest,PF）-马尾松针阔叶混交林（mixed Pinus massoniana/broad-leaved forest,MF）-季风常绿阔叶林（monsoon evergreen broad-leaved forest,MEBF）为研究对象,依托中国生态系统研究网络森林样地建设与监测统一规范对鼎湖山森林生态系统定位站站区内分布的上述森林类型土壤水分的长期定位观测（2005-2015年）,通过分析各演替阶段森林土壤不同土层（0-15、15-30、30-45、45-60、60-75和75-90 cm）土壤体积含水量观测数据,探究该区域森林植被恢复过程中的土壤水分变化及其时空变异。结果表明：在雨热同期且干湿季明显的南亚热带地区,鼎湖山森林土壤储水量及其时间动态受降雨量的影响显著,森林土壤层对降雨具有强烈的调蓄和稳定作用,伴随PF→MF→MEBF自然演替进程,调蓄水分能力逐步增强。林型间,由初期阶段PF到顶级群落MEBF,森林土壤水分储量逐渐提高,且演替后期林型相对于早期林型,土壤储水量均呈现为较小的年际与年内变幅。干、湿季而言,干季时林型间的土壤储水量差异大于湿季,干季时MEBF和MF土壤含水量分别是PF的1.33倍和1.11倍。从土壤含水量的干、湿季期间变异来看,不同林型各土层土壤含水量的变异系数大小均表现为干季大于湿季;垂直剖面方向上,突出表现为无论干湿季MEBF各层土壤含水量变异均比其他两种林型较为缓和,充分体现了MEBF优越的土壤水分时空调配能力。整体上,伴随PF→MF→MEBF自然演替进程,土壤水分储量及其稳定性逐步提升。     

Modeling the interannual variation and response to climate change scenarios in gross and net primary productivity of Pinus elliottii forest in subtropical China

In this study, the BIOME-BGC model, a biogeochemical model, was used and validated to estimate GPP (Gross Primary Productivity) and NPP (Net Primary Productivity) of Pinus elliottii forest in red soil hilly region and their responses to inter-annual climate variability during the period of 1993–2004 and climate change scenarios in the future. Results showed that the average total GPP and NPP were 1941 g C m^?2a^?1 and 695 g C m^?2a^?1, and GPP and NPP showed an increasing trend during the study period. The precipitation was the key factor controlling the GPP and NPP variation. Scenario analysis showed that doubled CO₂ concentration would not benefit for GPP and NPP with less than 1.5% decrease. When CO₂ concentration fixed, GPP responded positively to precipitation change only, and temperature increase by 1.5°C with precipitation increase, while NPP responded positively to precipitation change only. When CO₂ concentration was doubled and climate was changed, GPP and NPP responded positively to precipitation change, and GPP also responded positively to temperature increase by 1.5°C with precipitation change.     

Tree‐ring analysis and modeling approaches yield contrary response of circumboreal forest productivity to climate change

Circumboreal forest ecosystems are exposed to a larger magnitude of warming in comparison with the global average, as a result of warming‐induced environmental changes. However, it is not clear how tree growth in these ecosystems responds to these changes. In this study, we investigated the sensitivity of forest productivity to climate change using ring width indices (RWI) from a tree‐ring width dataset accessed from the International Tree‐Ring Data Bank and gridded climate datasets from the Climate Research Unit. A negative relationship of RWI with summer temperature and recent reductions in RWI were typically observed in continental dry regions, such as inner Alaska and Canada, southern Europe, and the southern part of eastern Siberia. We then developed a multiple regression model with regional meteorological parameters to predict RWI, and then applied to these models to predict how tree growth will respond to twenty‐first‐century climate change (RCP8.5 scenario). The projections showed a spatial variation and future continuous reduction in tree growth in those continental dry regions. The spatial variation, however, could not be reproduced by a dynamic global vegetation model (DGVM). The DGVM projected a generally positive trend in future tree growth all over the circumboreal region. These results indicate that DGVMs may overestimate future wood net primary productivity (NPP) in continental dry regions such as these; this seems to be common feature of current DGVMs. DGVMs should be able to express the negative effect of warming on tree growth, so that they simulate the observed recent reduction in tree growth in continental dry regions.     

Sensitivity of Siberian larch forests to climate change

The Northern Hemisphere's boreal forests, particularly the Siberian boreal forest, may have a strong effect on Earth's climate through changes in dominant vegetation and associated regional surface albedo. We show that warmer climate will likely convert Siberia's deciduous larch (Larix spp.) to evergreen conifer forests, and thus decrease regional surface albedo. The dynamic vegetation model, FAREAST, simulates Russian boreal forest composition and was used to explore the feedback between climate change and forest composition at continental, regional, and local scales. FAREAST was used to simulate the impact of changes in temperature and precipitation on total and genus‐level biomass at sites across Siberia and the Russian Far East (RFE), and for six high‐ and low‐diversity regions. Model runs with and without European Larch (Larix decidua) included in the available species pool were compared to assess the potential for this species, which is adapted to warmer climate conditions, to mitigate the effects of climate change, especially the shift to evergreen dominance. At the continental scale, when temperature is increased, larch‐dominated sites become vulnerable to early replacement by evergreen conifers. At the regional and local scales, the diverse Amur region of the RFE does not show a strong response to climate change, but the low‐diversity regions in central and southern Siberia have an abrupt vegetation shift from larch‐dominated forest to evergreen‐conifer forest in response to increased temperatures. The introduction of L. decidua prevents the collapse of larch in these low‐diversity areas and thus mitigates the response to warming. Using contemporary MODIS albedo measurements, we determined that a conversion from larch to evergreen stands in low‐diversity regions of southern Siberia would generate a local positive radiative forcing of 5.1±2.6 W m^?2. This radiative heating would reinforce the warming projected to occur in the area under climate change.