抚育间伐对长白落叶松人工林土壤碳、氮及其组分的影响

抚育间伐作为重要的森林经营措施之一,能够改变林分结构和稳定性,进而影响森林生态系统的生物地球化学循环.然而,抚育间伐对森林土壤碳、氮循环的影响程度如何尚不明确,尤其缺少长期试验结果报道.本研究以黑龙江省孟家岗林场经过4种不同强度和频度的抚育间伐处理后的60年生长白落叶松人工林为研究对象(4次低强度的间伐,LT4;3次中等强度的间伐,MT3;2次高强度间伐,HT2;不进行间伐的对照,CK),从酸水解法划分土壤碳、氮库(活性碳、氮库Ⅰ,活性碳、氮库Ⅱ和惰性碳、氮库)的角度研究了抚育间伐对长白落叶松人工林土壤总有机碳、全氮的影响机制.结果表明: 抚育间伐显著增加了土壤有机碳和全氮含量,增幅分别高达48.7%～50.3%和28.9%～42.7%.抚育间伐均增加了3种碳、氮组分的含量,而增加的程度因碳、氮组分和抚育间伐措施的不同而异.与活性碳库Ⅰ和活性碳库Ⅱ的增加程度相比,惰性碳库的增加程度最大,LT4、MT3和HT2处理下惰性碳库分别增加71%、69%和75%.此外,抚育间伐也显著增加了惰性碳占土壤总有机碳的比例.LT4显著提高了土壤微生物生物量碳、氮含量和微生物熵,而MT3和HT2对微生物生物量碳、氮和微生物熵却无显著影响.抚育间伐可能通过产生较多的粗木质残体于土体中,增加土壤木栓质和木质素等顽固组分的输入,进而导致土壤惰性碳含量增加,降低有机质的分解,最终导致土壤有机碳增加.     

不同林龄麻栎林地下部分生物量与碳储量研究

探讨不同林龄麻栎林地下部分根系的生物量与碳储量,为麻栎林的经营管理及碳汇管理等提供科学依据。以江苏省句容市不同林龄(幼龄林、中龄林、近熟林、成熟林)的麻栎林为研究对象,采用全根挖掘法获取麻栎各级根系及灌草层根系,并测定其生物量、碳含量,构建麻栎根系生物量模型,估算麻栎林地下部分根系碳储量及麻栎林群落碳储量。通过11种数学回归模型的比较,构建麻栎各级根系生物量幂回归模型,计算得到幼龄林、中龄林、近熟林、成熟林麻栎根系生物量分别为14.81t/hm~2、41.15t/hm~2、50.36t/hm~2、53.75t/hm~2,各级根系生物量大小顺序是:根桩粗根大根细根;灌木与草本植物根系生物量分别为0.48—1.71t/hm~2、0.13—0.60t/hm~2;不同林龄麻栎林群落根系生物量为15.42—56.06t/hm~2,且随林龄的增大而增大。麻栎根系碳含量大小顺序为:根桩粗根大根细根,且碳含量差异显著;灌木与草本植物根系碳含量分别为41.84%—43.79%、34.03%—38.48%,随林龄变化均无明显变化规律。麻栎林乔木根系碳储量随林龄增大而增大,幼龄林、中龄林、近熟林、成熟林根系碳储量分别为6.01t/hm~2、17.41t/hm~2、21.79t/hm~2、21.99t/hm~2;灌木与草本植物根系碳储量均随林龄增大而增大;幼龄林、中龄林、近熟林、成熟林群落根系碳储量分别为6.26t/hm~2、17.74t/hm~2、22.37t/hm~2、22.94t/hm~2,且乔木层灌木层草本层。麻栎林地下部分根系生物量与碳储量随林龄的增大而增大,幼龄林到近熟林生长过程中生物量与碳储量增加快速,近熟林后生物量与碳素积累缓慢,且与成熟林接近。     

在矿山废弃地上发展可再生能源的潜力——以辽宁省为例

在国内外碳减排压力和我国能源结构调整需求下,我国可再生能源的开发压力较大.矿山具有丰富的废弃土地,发展可再生能源的潜力巨大,在矿山废弃地上开发可再生能源对我国的能源战略具有重要意义.本研究以辽宁省矿山废弃地为例,提出矿山废弃地的生物质能与太阳能发展预案,估算辽宁省矿山废弃地的可再生能源发展潜力.结果表明:辽宁省1227.6 km2的矿山废弃地面积发展可再生能源的潜力较大,不同预案的潜力差异显著.预案1以光伏发电最大化为目标模式,总计可发电量为79.4 TWh,折标煤量32.1 Mt,碳减排量为79.1Mt CO2.预案2以生物质能源利用最大化为目标模式,光伏与生物质能总的发电量可达到31.2~33.1 TWh,折标煤量12.7~13.4 Mt,碳减排量为31.1~33.0 Mt CO2.预案3以矿山能源综合利用最大化为目标并兼顾生态修复的发展模式,光伏与生物质能总的发电量可达到62.3~63.7 TWh,折标煤量25.1~25.7 Mt,碳减排量为62.1~63.5 Mt CO2.3种预案的发电量在31.2~79.4 TWh,占辽宁省2016年总电力消费量的15.3%~38.9%,折标煤量12.7~32.1 Mt,碳减排量为31.1~79.1 Mt CO2.本研究对在矿山废弃地上发展可再生能源潜力及其替代化石能源能力的评估,对于碳减排、能源结构的调整以及矿山废弃地的生态修复具有重要的研究意义.     

全球森林土壤微生物生物量碳氮磷化学计量的季节动态

土壤微生物生物量在森林生态系统中充当具有生物活性的养分积累和储存库。土壤微生物转化有机质为植物提供可利用养分, 与植物的相互作用维系着陆地生态系统的生态功能。同时, 土壤微生物也与植物争夺营养元素, 在季节交替过程和植物的生长周期中呈现出复杂的互利-竞争关系。综合全球数据对温带、亚热带和热带森林土壤微生物生物量碳(C)、氮(N)、磷(P)含量及其化学计量比值的季节动态进行分析, 发现温带和亚热带森林的土壤微生物生物量C、N、P含量均呈现夏季低、冬季高的格局。热带森林四季的土壤微生物生物量C、N、P含量都低于温带和亚热带森林, 且热带森林土壤微生物生物量C含量、N含量在秋季相对最低, 土壤微生物生物量P含量四季都相对恒定。温带森林的土壤微生物生物量C:N在春季显著高于其他两个森林类型; 热带森林的土壤微生物生物量C:N在秋季显著高于其他2个森林类型。温带森林土壤微生物生物量N:P和C:P在四季都保持相对恒定, 而热带森林土壤微生物生物量N:P和C:P在夏季高于其他3个季节。阔叶树的土壤微生物生物量C含量、N含量、N:P、C:P在四季都显著高于针叶树; 而针叶树的土壤微生物生物量P含量在四季都显著高于阔叶树。在春季和冬季时, 土壤微生物生物量C:N在阔叶树和针叶树之间都没有显著差异; 但是在夏季和秋季, 针叶树的土壤微生物生物量C:N显著高于阔叶树。对于土壤微生物生物量的变化来说, 森林类型是主要的显著影响因子, 季节不是显著影响因子, 暗示土壤微生物生物量的季节波动是随着植物其内在固有的周期变化而变化。植物和土壤微生物密切作用表现出来的对养分的不同步吸收是保留养分和维持生态功能的一种权衡机制。     

青海高原复种绿肥毛叶苕子对土壤微生物生物量碳、氮的影响

通过在小麦收获后复种绿肥毛叶苕子研究绿肥的培肥效应。在复种绿肥毛叶苕子的情况下,研究后茬作物小麦生育期土壤微生物生物量碳、氮的时空变化。结果表明,小麦生育期0～20 cm土层土壤微生物生物量碳、氮均表现为有毛叶苕子处理高于无毛叶苕子处理,其中施肥70%化肥+毛苕子翻压还田处理的土壤微生物生物量碳、氮最高。小麦苗期土壤微生物生物量碳、氮含量最低,至抽穗期土壤微生物生物量碳、氮含量达到最高,成熟期又有所降低。微生物熵在各时期的变化与微生物生物量碳一致,绿肥处理表现出明显较高的微生物熵。     

施肥措施对鳄嘴花(Clinacanthus nutans)生物量的影响

通过施肥措施对鳄嘴花[Clinacanthus nutans(Burm. f.) Lindau]生物量分配的影响研究得到,鳄嘴花各构件生物量与各构件生物量的分配比例并不总是一致。N肥处理组根茎叶以及总生物量均较K低。P肥则为处理4根茎叶以及总生物量较大。而K肥根茎生物量较大的均为处理5,叶和总生物量较大的则为处理4。有机肥的施肥效果对鳄嘴花各构件生物量的促进效果均较差。施肥配比中,各个施肥配比对根、茎生物量的增加效果均较差。叶和总生物量中,则为N1∶P1∶K1效果较好。总体来看,合理施肥对鳄嘴花生物量的增加有促进作用,对生物量的分配产生一定的影响。     

Leveraging plant hydraulics to yield predictive and dynamic plant leaf allocation in vegetation models with climate change

Plant functional traits provide a link in process‐based vegetation models between plant‐level physiology and ecosystem‐level responses. Recent advances in physiological understanding and computational efficiency have allowed for the incorporation of plant hydraulic processes in large‐scale vegetation models. However, a more mechanistic representation of water limitation that determines ecosystem responses to plant water stress necessitates a re‐evaluation of trait‐based constraints for plant carbon allocation, particularly allocation to leaf area. In this review, we examine model representations of plant allocation to leaves, which is often empirically set by plant functional type‐specific allometric relationships. We analyze the evolution of the representation of leaf allocation in models of different scales and complexities. We show the impacts of leaf allocation strategy on plant carbon uptake in the context of recent advancements in modeling hydraulic processes. Finally, we posit that deriving allometry from first principles using mechanistic hydraulic processes is possible and should become standard practice, rather than using prescribed allometries. The representation of allocation as an emergent property of scarce resource constraints is likely to be critical to representing how global change processes impact future ecosystem dynamics and carbon fluxes and may reduce the number of poorly constrained parameters in vegetation models.     

Evaluating ecosystem effects of climate change on tropical island streams using high spatial and temporal resolution sampling regimes

Climate change is expected to alter precipitation patterns worldwide, which will affect streamflow in riverine ecosystems. It is vital to understand the impacts of projected flow variations, especially in tropical regions where the effects of climate change are expected to be one of the earliest to emerge. Space‐for‐time substitutions have been successful at predicting effects of climate change in terrestrial systems by using a spatial gradient to mimic the projected temporal change. However, concerns have been raised that the spatial variability in these models might not reflect the temporal variability. We utilized a well‐constrained rainfall gradient on Hawaii Island to determine (a) how predicted decreases in flow and increases in flow variability affect stream food resources and consumers and (b) if using a high temporal (monthly, four streams) or a high spatial (annual, eight streams) resolution sampling scheme would alter the results of a space‐for‐time substitution. Declines in benthic and suspended resource quantity (10‐ to 40‐fold) and quality (shift from macrophyte to leaf litter dominated) contributed to 35‐fold decreases in macroinvertebrate biomass with predicted changes in the magnitude and variability in the flow. Invertebrate composition switched from caddisflies and damselflies to taxa with faster turnover rates (mosquitoes, copepods). Changes in resource and consumer composition patterns were stronger with high temporal resolution sampling. However, trends and ranges of results did not differ between the two sampling regimes, indicating that a suitable, well‐constrained spatial gradient is an appropriate tool for examining temporal change. Our study is the first to investigate resource to community wide effects of climate change on tropical streams on a spatial and temporal scale. We determined that predicted flow alterations would decrease stream resource and consumer quantity and quality, which can alter stream function, as well as biomass and habitat for freshwater, marine, and terrestrial consumers dependent on these resources.