广西中南部耕地土壤有机质和全氮变化的遥感监测

以1981年、2011年土壤数据为基础,以AVHRR和MODIS遥感影像为数据源,通过研究广西中南部土壤有机质、全氮及其变化与归一化差异植被指数(NDVI)、植被覆盖度、植被净初级生产力(NPP)等遥感因子之间的耦合关系,建立表层土壤有机质、全氮含量变化的遥感监测模型。研究表明:近30年来,研究区土壤有机质、全氮变化均呈极显著上升趋势,分别增加了5.43g/kg和0.21g/kg;1981—2011年间,NDVI、植被覆盖度和NPP 3个遥感因子变化趋势一致,均呈现缓慢上升趋势,且遥感因子变化与有机质、全氮变化均具有显著正相关关系;利用逐步线性回归方法,建立土壤有机质、全氮变化的遥感监测模型,分别能够解释有机质、全氮变化的16.9%和20.3%;根据所建模型对研究区耕地土壤有机质、全氮变化可进行空间预测制图。结果表明,研究区内耕地土壤表层有机质、全氮分别上升了6.65g/kg和0.31g/kg,验证结果显示遥感模型能够反映出不同区域土壤有机质和全氮长期变化的空间特征。     

2000—2011年广西植被净初级生产力时空分布特征及其驱动因素

受人类活动及自然环境影响,广西土壤酸化、水土流失及石漠化等问题比较严重,生态环境面临巨大压力。NPP能有效反映植物群落在自然环境中的生产能力,是评价生态服务功能的重要指标。利用2000—2011年MODIS归一化植被指数(NDVI)数据,基于光能利用率模型对广西植被净初级生产力(NPP)进行估算,分析其时空变化规律,探讨气象因子、植被类型、土壤类型、海拔高度及人类活动的影响。研究表明:近12年广西全区NPP总体呈增加趋势,在西南部地区上升较为明显,而在桂林、柳州等地区呈缓慢下降趋势。广西NPP与降水呈显著正相关关系,与温度相关性不显著;NPP值随海拔高度升高而增加;NPP时空变化特征随植被类型和土壤类型的不同而不同,其中栽培植被NPP不断上升,显示人类活动逐渐成为影响NPP变化的主要因素。     

Long‐term dynamics of mycorrhizal root tips in a loblolly pine forest grown with free‐air CO2 enrichment and soil N fertilization for 6 years

Large‐scale, long‐term FACE (Free‐Air CO₂ enrichment) experiments indicate that increases in atmospheric CO₂ concentrations will influence forest C cycling in unpredictable ways. It has been recently suggested that responses of mycorrhizal fungi could determine whether forest net primary productivity (NPP) is increased by elevated CO₂ over long time periods and if forests soils will function as sources or sinks of C in the future. We studied the dynamic responses of ectomycorrhizae to N fertilization and atmospheric CO₂ enrichment at the Duke FACE experiment using minirhizotrons over a 6 year period (2005–2010). Stimulation of mycorrhizal production by elevated CO₂ was observed during only 1 (2007) of 6 years. This increased the standing crop of mycorrhizal tips during 2007 and 2008; during 2008, significantly higher mortality returned standing crop to ambient levels for the remainder of the experiment. It is therefore unlikely that increased production of mycorrhizal tips can explain the lack of progressive nitrogen limitations and associated increases in N uptake observed in CO₂‐enriched plots at this site. Fertilization generally decreased tree reliance on mycorrhizae as tip production declined with the addition of nitrogen as has been shown in many other studies. Annual NPP of mycorrhizal tips was greatest during years with warm January temperatures and during years with cool spring temperatures. A 2 °C increase in average late spring temperatures (May and June) decreased annual production of mycorrhizal root tip length by 50%. This has important implications for ecosystem function in a warmer world in addition to potential for forest soils to sequester atmospheric C.     

长江流域植被净第一性生产力及其时空格局研究

 基于生态过程模型——CASA模型,利用1982～1999年18年来8 km×8 km分辨率的遥感数据和匹配的温度、降水、太阳辐射资料以及植被和土壤信息,对长江流域的植被NPP及其时空分布格局进行了分析。主要结论如下：1) 18年来,长江流域年均NPP总量为0.46Pg C·a-1,占全国总量的27.22     

我国不同季节陆地植被NPP对气候变化的响应

阐明不同季节陆地植被净第一性生产力（NPP）对全球变化的响应将有助于理解陆地生态系统和气候系统之间的相互作用以及NPP变化机制。本文使用1982－1999年间的AVHRR／NDVI、气温、降水以及太阳辐射等资料,结合植被分布图和土壤质地图,利用生态过程模型,研究不同季节我国陆地植被NPP的年际变化及其地理分异。结果表明,在1982－1999年的18年间,4个季节的NPP都呈显著增加趋势。其中,春季是NPP增加速率最快的季节,夏季是NPP增加量最大的季节,不同植被类型对全球变化的响应有很大差异。常绿阔叶林,常绿针叶林和落叶针叶林NPP的增加主要由生长季节的提前所致。而落叶阔叶林、针阔混交林、矮林灌丛,温带草原及草甸,稀树草原、高寒植被,荒漠以及人工植被NPP的增加主要来自生长季生长加速的贡献。从区域分布看,在四季中春季NPP增加量最大的地区主要集中在东部季风区域;夏季NPP增量最大的地区包括西北干旱区域和青藏高原的大部分地区,小兴安岭－长白山区,三江平原,松辽平原,四川盆地,雷州半岛,长江中下游部分地区以及江南山地东部;而秋季植被NPP增加量最大的地区主要有云南高原－西藏东部和呼伦湖的周围等地区。不同植被和地理区域NPP的这些响应方式与区域气候特征及其变化趋势有关。     

Improving predictions of tropical forest response to climate change through integration of field studies and ecosystem modeling

Tropical forests play a critical role in carbon and water cycles at a global scale. Rapid climate change is anticipated in tropical regions over the coming decades and, under a warmer and drier climate, tropical forests are likely to be net sources of carbon rather than sinks. However, our understanding of tropical forest response and feedback to climate change is very limited. Efforts to model climate change impacts on carbon fluxes in tropical forests have not reached a consensus. Here, we use the Ecosystem Demography model (ED2) to predict carbon fluxes of a Puerto Rican tropical forest under realistic climate change scenarios. We parameterized ED2 with species‐specific tree physiological data using the Predictive Ecosystem Analyzer workflow and projected the fate of this ecosystem under five future climate scenarios. The model successfully captured interannual variability in the dynamics of this tropical forest. Model predictions closely followed observed values across a wide range of metrics including aboveground biomass, tree diameter growth, tree size class distributions, and leaf area index. Under a future warming and drying climate scenario, the model predicted reductions in carbon storage and tree growth, together with large shifts in forest community composition and structure. Such rapid changes in climate led the forest to transition from a sink to a source of carbon. Growth respiration and root allocation parameters were responsible for the highest fraction of predictive uncertainty in modeled biomass, highlighting the need to target these processes in future data collection. Our study is the first effort to rely on Bayesian model calibration and synthesis to elucidate the key physiological parameters that drive uncertainty in tropical forests responses to climatic change. We propose a new path forward for model‐data synthesis that can substantially reduce uncertainty in our ability to model tropical forest responses to future climate.     

Introduced and native herbivores have different effects on plant composition in low productivity ecosystems

Questions

Understanding how livestock grazing alters plant composition in low productivity environments is critical to managing livestock sustainably alongside native and introduced wild herbivore populations. We asked four questions: (1) does recent livestock and rabbit grazing reduce some plant attributes more strongly than others; (2) does grazing by introduced herbivores (i.e. livestock and rabbits) affect plants more strongly than native herbivores (i.e. kangaroos); (3) do the effects of recent livestock grazing differ from the legacy effects of livestock grazing; and (4) does the probability of occurrence of exotic plants increase with increasing net primary productivity (NPP)?

Location

South‐eastern Australia.

Methods

We measured the recent grazing activity of co‐occurring livestock (cattle, sheep, goats), rabbits and kangaroos by counting faecal pellets; historic grazing activity by measuring livestock tracks; and derived NPP from satellite imagery. We used a hierarchical GLMM to simultaneously model the presence or absence (i.e. probability of occurrence) of all plant species as a function of their attributes (growth form, lifespan and origin) to assess their average response to recent grazing, historic grazing and productivity in a broad‐scale regional study.

Results

Recent and historic livestock grazing, rabbit grazing and increasing NPP reduced the average probability of occurrence of plant species, although responses varied among plant attributes. Both recent and historic livestock grazing strongly reduced the average probability of occurrence of native species, and forbs and geophytes, but differed in their relative effects on other growth forms. Recent livestock grazing, rabbit grazing and NPP had similar effects, strongly reducing native species and forbs, geophytes, shrubs and sub‐shrubs. The overall effects of recent kangaroo grazing were relatively weak, with no clear trends for any given plant attribute.

Conclusion

Our results highlight the complex nature of grazing by introduced herbivores compared with native herbivores on different plant attributes. Land managers need to be aware that domestic European livestock, rabbits and other free‐ranging introduced livestock such as goats have detrimental impacts on native plant communities. Our results also show that kangaroo grazing has a relatively benign effect on plant occurrence.     

近30年来黄河三角洲植被净初级生产力时空特征及主要影响因素

我国拥有丰富的海岸带蓝色碳汇,准确把握海岸带蓝碳生态系统净初级生产力(NPP)状况,辨识不同人为干扰下蓝碳生态系统NPP的时空分布特征具有重要意义。以黄河三角洲为研究区,以近30a(1987年、1995年、2005年、2016—2017年)为时间尺度,通过遥感手段和现场调查,对黄河三角洲NPP时空变化特征及其主要影响因素进行研究。结果显示:(1)近30年来研究区NPP均值和总量呈现先下降又略微增长的特征,2016—2017年度NPP平均值为294.38g C m~(-2)a~(-1),总量为710.05Gg C/a,表现出显著的季节差异。(2)研究区NPP在各行政区、保护区和地表覆盖类型中均表现出了明显的空间分异性;2016—2017年度NPP分区结果显示,不同分区面积由大到小依次为中生产力区(49.5%)、低生产力区(38.3%)和高生产力区(12.1%)。(3)研究区NPP的时空分异性是地表覆盖类型和植被生长状况共同影响的结果,海陆交互作用、开发利用活动和近年来的生态建设是NPP时空变化的主要影响因素。(4)湿地植被和农田是研究区碳汇的主要贡献者,20世纪90年代以来二者NPP均值逐渐上升,在2016—2016年度分别达570.28g C m~(-2)a~(-1)和335.92g C m~(-2)a~(-1);近30年来,湿地植被NPP总量逐渐减少,农田NPP总量则逐渐增加。湿地植被是海岸带蓝碳的典型载体,农田作为位于滨海地区、由湿地植被转化而来、本身具有较高固碳能力和潜力的碳汇类型,可作为海岸带蓝碳的重要补充。     

陆地生态系统水分利用效率对气候变化的响应研究进展

气候变化显著影响陆地生态系统生产力以及水分利用格局,而水分利用效率(Water Use Efficiency,WUE)是衡量生态系统碳水耦合关系的重要指标之一。研究陆地生态系统水分利用效率对气候变化的响应,有助于深入理解生态系统的变化规律,模拟和预测生态系统碳水过程的发展状况,从而为应对全球气候变化提供新的依据。为了更好地掌握生态系统水分利用效率研究现状以及其对温度、CO2等关键气候因子的响应情况,本文总结了陆地生态系统水分利用效率对气候变化响应的最新研究进展。首先介绍了相关的定义并归纳了两种不同计算方式的差异和特点;接着重点总结了陆地生态系统水分利用效率对大气温度、CO2、水分、干旱以及太阳辐射等影响因素的响应;最后文章总结了目前3个相关的研究态势,主要包括:(1)长时间序列水分利用效率与气候要素的关系研究;(2)土地利用/覆被变化对水分利用效率的影响及其对气候的反馈研究;(3)多尺度水分利用效率综合研究。本研究可为深入研究生态系统过程对气候变化的响应提供参考。