中南半岛前期异常气候条件对中国南方稻区褐飞虱灾变性迁入的影响及其预测模型

近30多年来,气候变化对中国褐飞虱的灾变性迁入带来了明显的影响,为了进一步了解虫源地的异常气候变化对我国褐飞虱迁入量的影响,利用1980—2016年中国各植保站提供的褐飞虱虫情资料及同期美国国家环境预测中心(NCEP)提供的全球气象再分析资料,分析了中国褐飞虱境外主要虫源地中南半岛前期异常气候条件对中国南方稻区褐飞虱发生程度的影响,并对褐飞虱发生等级与影响其迁飞的气象因子进行了相关性分析,筛选出关键预报因子,分别应用支持向量机(SVM)、BP神经网络和多元回归分析3种方法对代表站点褐飞虱年发生等级进行了预测,并比较了3种预测模型的优劣。结果表明:(1)中南半岛气候异常区主要分布在北部,异常气候的发生次数在中南半岛呈现出北高南低的特征,并从北向南呈环状递减。(2)中南半岛前期温度偏高(暖冬、暖春)、相对湿度偏大(湿冬、湿春),易引起褐飞虱在中国南方稻区的偏重以上发生;若中南半岛前期气候偏冷(冷冬、冷春)、偏干(干冬、干春),则常导致褐飞虱在中国南方稻区的偏轻以下发生。(3)通过比较3种模型的历史回代率和预测准确率,发现3种模型对褐飞虱的发生程度均有一定的预测能力,其中SVM模型的预测效果最好,BP神经网络次之,多元线性回归模型最差,表明SVM更加适用于生产实际中的褐飞虱发生程度预测。     

Changing patterns of the East Asian monsoon drive shifts in migration and abundance of a globally important rice pest

Numerous insects including pests and beneficial species undertake windborne migrations over hundreds of kilometers. In East Asia, climate-induced changes in large-scale atmospheric circulation systems are affecting wind-fields and precipitation zones and these, in turn, are changing migration patterns. We examined the consequences in a serious rice pest, the brown planthopper (BPH, Nilaparvata lugens) in East China. BPH cannot overwinter in temperate East Asia, and infestations there are initiated by several waves of windborne spring or summer migrants originating from tropical areas in Indochina. The East Asian summer monsoon, characterized by abundant rainfall and southerly winds, is of critical importance for these northward movements. We analyzed a 42-year dataset of meteorological parameters and catches of BPH from a standardized network of 341 light-traps in South and East China. We show that south of the Yangtze River during summer, southwesterly winds have weakened and rainfall increased, while the summer precipitation has decreased further north on the Jianghuai Plain. Together, these changes have resulted in shorter migratory journeys for BPH leaving South China. As a result, pest outbreaks of BPH in the key rice-growing area of the Lower Yangtze River Valley (LYRV) have declined since 2001. We show that these changes to the East Asian summer monsoon weather parameters are driven by shifts in the position and intensity of the Western Pacific subtropical high (WPSH) system that have occurred during the last 20 years. As a result, the relationship between WPSH intensity and BPH immigration that was previously used to predict the size of the immigration to the LYRV has now broken down. Our results demonstrate that migration patterns of a serious rice pest have shifted in response to the climate-induced changes in precipitation and wind pattern, with significant consequences for the population management of migratory pests.     

未来气候变化对海南橡胶树春季物候期的影响

为研究未来气候变化对海南岛橡胶树春季物候期(第一蓬叶展叶期和春花期)的影响,以国内外关于橡胶树物候期量化研究和橡胶树观测试验数据为基础,结合作物生长钟模型,建立橡胶树春季物候期模型,开发成计算机软件RubberSP并进行适宜性评价。在此基础上,通过贝叶斯模型平均法(BMA)结合耦合模式比较计划第五阶段(CMIP5)多模式数据集中的5个大气环流模式(GCMs),分别在RCP2.6、RCP4.5和RCP8.5气候情景下,以1986—2017年为基准时段,预估2020—2099年气候变化对橡胶树春季物候期的可能影响。结果表明:RubberSP的模拟精度较高,模拟值与实测值的决定系数R²为0.73～0.87,均方根误差RMSE为3.26～4.15 d,归一化均方根误差NRMSE为3.4%～7.4%。BMA方法可以有效地处理单一GCMs带来的不确定性问题,较好地反映出气温变化趋势;预估RCP2.6、RCP4.5和RCP8.5情景下,海南岛至21世纪末较基准时段分别升温超过0.3、1.0和2.5 ℃。在未来气候情景下,春季物候期出现日序提前,产胶量提高的可能性变大。日序等值线均向西北方向移动,海南岛橡胶树种植最适宜区有向西北方向扩大的可能。第一蓬叶展叶期的空间差异性变大,春花期则略微变小。橡胶树春季物候期在未来3种情景下提前或推迟的变化幅度随RCP情景下升温的幅度而变化,RCP2.6最平缓,RCP8.5最剧烈。     

Potential Effects of Climate Change on the Distribution of Cold-Tolerant Evergreen Broadleaved Woody Plants in the Korean Peninsula

Climate change has caused shifts in species’ ranges and extinctions of high-latitude and altitude species. Most cold-tolerant evergreen broadleaved woody plants (shortened to cold-evergreens below) are rare species occurring in a few sites in the alpine and subalpine zones in the Korean Peninsula. The aim of this research is to 1) identify climate factors controlling the range of cold-evergreens in the Korean Peninsula; and 2) predict the climate change effects on the range of cold-evergreens. We used multimodel inference based on combinations of climate variables to develop distribution models of cold-evergreens at a physiognomic-level. Presence/absence data of 12 species at 204 sites and 6 climatic factors, selected from among 23 candidate variables, were used for modeling. Model uncertainty was estimated by mapping a total variance calculated by adding the weighted average of within-model variation to the between-model variation. The range of cold-evergreens and model performance were validated by true skill statistics, the receiver operating characteristic curve and the kappa statistic. Climate change effects on the cold-evergreens were predicted according to the RCP 4.5 and RCP 8.5 scenarios. Multimodel inference approach excellently projected the spatial distribution of cold-evergreens (AUC = 0.95, kappa = 0.62 and TSS = 0.77). Temperature was a dominant factor in model-average estimates, while precipitation was minor. The climatic suitability increased from the southwest, lowland areas, to the northeast, high mountains. The range of cold-evergreens declined under climate change. Mountain-tops in the south and most of the area in the north remained suitable in 2050 and 2070 under the RCP 4.5 projection and 2050 under the RCP 8.5 projection. Only high-elevations in the northeastern Peninsula remained suitable under the RCP 8.5 projection. A northward and upper-elevational range shift indicates change in species composition at the alpine and subalpine ecosystems in the Korean Peninsula.     

The impact of climate change on the distribution of two threatened Dipterocarp trees

Two ecologically and economically important, and threatened Dipterocarp trees Sal (Shorea robusta) and Garjan (Dipterocarpus turbinatus) form mono‐specific canopies in dry deciduous, moist deciduous, evergreen, and semievergreen forests across South Asia and continental parts of Southeast Asia. They provide valuable timber and play an important role in the economy of many Asian countries. However, both Dipterocarp trees are threatened by continuing forest clearing, habitat alteration, and global climate change. While climatic regimes in the Asian tropics are changing, research on climate change‐driven shifts in the distribution of tropical Asian trees is limited. We applied a bioclimatic modeling approach to these two Dipterocarp trees Sal and Garjan. We used presence‐only records for the tree species, five bioclimatic variables, and selected two climatic scenarios (RCP4.5: an optimistic scenario and RCP8.5: a pessimistic scenario) and three global climate models (GCMs) to encompass the full range of variation in the models. We modeled climate space suitability for both species, projected to 2070, using a climate envelope modeling tool “MaxEnt” (the maximum entropy algorithm). Annual precipitation was the key bioclimatic variable in all GCMs for explaining the current and future distributions of Sal and Garjan (Sal: 49.97 ± 1.33; Garjan: 37.63 ± 1.19). Our models predict that suitable climate space for Sal will decline by 24% and 34% (the mean of the three GCMs) by 2070 under RCP4.5 and RCP8.5, respectively. In contrast, the consequences of imminent climate change appear less severe for Garjan, with a decline of 17% and 27% under RCP4.5 and RCP8.5, respectively. The findings of this study can be used to set conservation guidelines for Sal and Garjan by identifying vulnerable habitats in the region. In addition, the natural habitats of Sal and Garjan can be categorized as low to high risk under changing climates where artificial regeneration should be undertaken for forest restoration.     

The impacts of climate change on thermal stratification and dissolved oxygen in the temperate,dimictic Mississippi Lake,Ontario

This study investigates and reports the climate change's effects on the Mississippi Lake thermal structure and dissolved oxygen (DO) for baseline (1986–2005) and future (2081–2100) periods. Future meteorological variables were derived from the second-generation Canadian Earth System Model (CanESM2) under three emission scenarios (RCP2.6, RCP4.5, and RCP8.5). The long-term lake inflow was modelled using the Thornthwaite monthly water balance model (TMWB) coupled with an Artificial Neural Network (ANN) to simulate the water level in the lake. Several methods were analyzed to assure the above is the best for estimating the water budget in this region. The water quality of Mississippi Lake was analyzed using a calibrated CE-QUAL-W2 model for the years 2017 and 2018. A major challenge in setting up the model was limitations in some essential water quality indicator inputs, which were estimated using reliable experimental relationships. Our results show that the baseline average surface water temperature of 14.6 °C would increase by 1.31 °C, 1.34 °C, and 2.69 °C under RCP2.6, RCP4.5, and RCP8.5 scenarios, respectively. In contrast, the baseline average hypolimnetic DO of 7.1 mg/L would decrease by 1.4%, 6.2%, and 14.3% in RCP2.6, RCP4.5, and RCP8.5 scenarios, respectively. Such a rise in water temperature and the consequent diminishment of DO in deep waters would threaten the future sustainable growth of warm-water fish species in Mississippi lake.     

2009年云南省白背飞虱早期迁入种群的虫源地范围与降落机制

对2009年云南省江城、金平、西畴、师宗、彝良5个站点4-5月出现的白背飞虱灯下高峰日进行轨迹分析,并结合部分田间调查数据、峰期对应的大气环流背景、峰日风温场等气象因子,明确2009年云南白背飞虱早期迁入种群的虫源地范围和降落机制。研究结果表明:(1) 2009年云南4-5月份前期迁入飞虱虫源主要来自缅甸,部分虫源来自老挝与越南,极少数虫源来自印度东部因帕尔地区。(2) 低温屏障、风场切变以及垂直气流扰动是造成白背飞虱集中降落的最主要气象因子。(3) 缅甸虫源区偏西气流盛行以及冬春稻种植面积扩大而导致的虫源基数增加是造成2009年云南白背飞虱大量迁入的根本原因。     

未来气候变化情景下河南省粮食安全气候承载力评估

为探究未来气候变化对河南省粮食生产的影响,基于夏玉米和冬小麦两种主粮作物的生产潜力和气候资源承载力,结合1961—2017年河南省111个气象站的观测数据以及区域气候模式输出的2041—2080年RCP4.5和RCP8.5两种排放情景下的气象资料,采用农业生态区域法(AEZ模型)计算了河南省气候生产潜力及其变化特征,并根据不同生活水平下的粮食需求指标,分析了河南省的气候承载力和剩余空间。结果表明: 1961—2017年,河南省夏玉米气候生产潜力平均为18408.87 kg·hm^-2,表现为中东部高、西部低;与基准时段(1981—2010年)相比,RCP4.5和RCP8.5情景下分别下降13.0%和8.0%,高值中心由豫东地区向豫西南地区转移。1961—2017年,冬小麦气候生产潜力平均值为10889.79 kg·hm^-2,呈中部高、北部低;与基准时段相比,RCP4.5和RCP8.5情景下分别减少18.6%、21.7%。当前,在温饱水平和小康水平粮食需求条件下,最大气候资源承载力分别平均养活人口2.52亿和1.83亿。2070s(2071—2080年)最大气候资源承载力平均养活人口有所减少,与基准时段相比,RCP4.5情景下小康水平和温饱水平分别下降9.7%和18.4%,RCP8.5情景下小康水平和温饱水平分别下降7.7%和16.6%。当前气候条件下,河南省气候资源相对剩余率在-93.0%～356.9%,与基准时段相比,未来气候资源相对剩余率减少近40%。     

2008年广西北部湾稻区稻飞虱初迁入过程分析

2008年2月,我国南方和越南北方普遍遭遇了罕见的低温冻害,褐飞虱Nilaparvata lugens(Stl)与白背飞虱Sogatella furcifera(Horváth)越冬虫量大大减少,而广西北部湾稻区在3—4月却出现了大规模的稻飞虱迁入峰。结合2008年越冬考察、灯下监测以及田间系统调查结果,通过HYSPLIT模型与GrADS软件对此阶段出现的稻飞虱大规模迁入过程进行轨迹模拟与天气学背景分析,得出以下结论:(1)2008年广西早期迁入稻飞虱虫源与越南北部虫源关系不大,主要来自越南中部及老挝南部;(2)850hPa高空温度较高,低空急流频繁,以及过早出现的台风是造成钦州4月份稻飞虱大规模远距离迁入的最主要原因。因此,除越南北部红河三角洲地区外,为我国华南稻区提供早期迁入虫源的越南中部稻区更值得关注。     

Regionalized dynamic climate series for ecological climate impact research in modern controlled environment facilities

Modern controlled environment facilities (CEFs) enable the simulation of dynamic microclimates in controlled ecological experiments through their technical ability to precisely control multiple environmental parameters. However, few CEF studies exploit the technical possibilities of their facilities, as climate change treatments are frequently applied by static manipulation of an inadequate number of climate change drivers, ignoring intra‐annual variability and covariation of multiple meteorological variables. We present a method for generating regionalized climate series in high temporal resolution that was developed to force the TUMmesa Model EcoSystem Analyzer with dynamic climate simulations. The climate series represent annual cycles for a reference period (1987–2016) and the climate change scenarios RCP2.6 and RCP8.5 (2071–2100) regionalized for a climate station situated in a forested region of the German Spessart mountains. Based on the EURO‐CORDEX and ReKliEs‐DE model ensembles, typical annual courses of daily resolved climatologies for the reference period and the RCP scenarios were calculated from multimodel means of temperature (t_a), relative humidity (rh), global radiation (R_g), air pressure (P), and ground‐level ozone and complemented by CO₂. To account for intra‐annual variation and the covariability of multiple climate variables, daily values were substituted by hourly resolved data resampled from the historical record. The resulting present climate Test Reference Year (TRY) well represented a possible annual cycle within the reference period, and expected shifts in future mean values (e.g., higher t_a) were reproduced within the RCP TRYs. The TRYs were executed in eight climate chambers of the TUMmesa facility and—accounting for the technical boundaries of the facility—reproduced with high precision. Especially, as an alternative to CEF simulations that reproduce mere day/night cycles and static manipulations of climate change drivers, the method presented here proved well suited for simulating regionalized and highly dynamic annual cycles for ecological CEF studies.     

Patterns and Variability of Projected Bioclimatic Habitat for Pinus albicaulis in the Greater Yellowstone Area

Projected climate change at a regional level is expected to shift vegetation habitat distributions over the next century. For the sub-alpine species whitebark pine (Pinus albicaulis), warming temperatures may indirectly result in loss of suitable bioclimatic habitat, reducing its distribution within its historic range. This research focuses on understanding the patterns of spatiotemporal variability for future projected P.albicaulis suitable habitat in the Greater Yellowstone Area (GYA) through a bioclimatic envelope approach. Since intermodel variability from General Circulation Models (GCMs) lead to differing predictions regarding the magnitude and direction of modeled suitable habitat area, nine bias-corrected statistically down-scaled GCMs were utilized to understand the uncertainty associated with modeled projections. P.albicaulis was modeled using a Random Forests algorithm for the 1980–2010 climate period and showed strong presence/absence separations by summer maximum temperatures and springtime snowpack. Patterns of projected habitat change by the end of the century suggested a constant decrease in suitable climate area from the 2010 baseline for both Representative Concentration Pathways (RCPs) 8.5 and 4.5 climate forcing scenarios. Percent suitable climate area estimates ranged from 2–29% and 0.04–10% by 2099 for RCP 8.5 and 4.5 respectively. Habitat projections between GCMs displayed a decrease of variability over the 2010–2099 time period related to consistent warming above the 1910–2010 temperature normal after 2070 for all GCMs. A decreasing pattern of projected P.albicaulis suitable habitat area change was consistent across GCMs, despite strong differences in magnitude. Future ecological research in species distribution modeling should consider a full suite of GCM projections in the analysis to reduce extreme range contractions/expansions predictions. The results suggest that restoration strageties such as planting of seedlings and controlling competing vegetation may be necessary to maintain P.albicaulis in the GYA under the more extreme future climate scenarios.     

The identification and conservation of climate refugia for two Colombian endemic titi (Plecturocebus) monkeys

Natural resource managers face the challenge of developing conservation plans for key species and given that anthropogenic climate change (CC) effects on biodiversity are becoming increasingly evident, the new challenge is to properly incorporate CC adaptation strategies into such plans. Thus, the objective of this study is to evaluate the potential CC effects on the climatically suitable areas for two Colombian endemic titi monkeys Plecturocebus ornatus and P. caquetensis and to identify the prospective climate refugia as macro-ecological adaptation strategies for each species. A detailed ecological niche modeling (ENM) approach was applied with the maximum entropy algorithm, using presence records and different sets of bioclimatic variables describing baseline (1960–1990) and future climates (∼2070). Models of future climatic suitability were generated using projections of variables under a stabilization (RCP4.5) and business as usual (RCP8.5) scenarios with data from two general circulation models (GCMs) describing storylines of increasing (CESM1_CAM5) and decreasing (CSIRO_ACCESS1_3) rainfall patterns. The results for both species indicate that in a warmer future, opposite rainfall patterns and choice of the bioclimatic variables may lead to divergent responses on the extent and geographic distribution of their climatic niche, which varied from regions gaining, losing, and retaining suitability in potential climate refugia. Moreover, CC represents a serious threat for P. caquetensis and P. ornatus since their ranges may be largely exposed to novel climates. Their baseline climatic suitability area is projected to shrink and shift to higher elevations in the Andes mountains, and the climate refugia identified for both species are poorly covered by protected areas. Therefore, the climate refugia identified in this work and the management recommendations offered should be considered by species conservation plans to contribute to the selection of priority regions for conservation actions. The modeling approach reveals the uncertainties arising from the selection of bioclimatic variables and GCMs in ENM, which can be replicated to identify climate refugia targeting different species of conservation concern.     

Climate change‐induced vegetation shifts lead to more ecological droughts despite projected rainfall increases in many global temperate drylands

Drylands occur worldwide and are particularly vulnerable to climate change because dryland ecosystems depend directly on soil water availability that may become increasingly limited as temperatures rise. Climate change will both directly impact soil water availability and change plant biomass, with resulting indirect feedbacks on soil moisture. Thus, the net impact of direct and indirect climate change effects on soil moisture requires better understanding. We used the ecohydrological simulation model SOILWAT at sites from temperate dryland ecosystems around the globe to disentangle the contributions of direct climate change effects and of additional indirect, climate change‐induced changes in vegetation on soil water availability. We simulated current and future climate conditions projected by 16 GCMs under RCP 4.5 and RCP 8.5 for the end of the century. We determined shifts in water availability due to climate change alone and due to combined changes of climate and the growth form and biomass of vegetation. Vegetation change will mostly exacerbate low soil water availability in regions already expected to suffer from negative direct impacts of climate change (with the two RCP scenarios giving us qualitatively similar effects). By contrast, in regions that will likely experience increased water availability due to climate change alone, vegetation changes will counteract these increases due to increased water losses by interception. In only a small minority of locations, climate change‐induced vegetation changes may lead to a net increase in water availability. These results suggest that changes in vegetation in response to climate change may exacerbate drought conditions and may dampen the effects of increased precipitation, that is, leading to more ecological droughts despite higher precipitation in some regions. Our results underscore the value of considering indirect effects of climate change on vegetation when assessing future soil moisture conditions in water‐limited ecosystems.     

21世纪上半叶内蒙古草地植被净初级生产力变化趋势

基于中国气象局国家气候中心新发布的中短期适应气候变化的新情景(RCP4.5)和极端情景(RCP8.5)下的气候预估数据,采用空间化后的CENTURY模型模拟探讨2011－2050年内蒙古草地植被净初级生产力(NPP)的时空变化特征.结果表明: 区域尺度上,未来气候变化情景下内蒙古草地NPP年下降速率分别为0.57 g C·m^-2·a^-1(RCP4.5)、0.89 g C·m^-2·a^-1(RCP8.5);相对于基准时段,RCP4.5情景下内蒙古草地NPP在2020s、2030s、2040s分别下降11.6%、12.0%、18.0%,而RCP8.5情景下降幅分别为23.8%、21.2%、30.1%.不同气候情景下内蒙古草地NPP时空变化特征差异较大,但即使在RCP4.5下未来40年绝大部分草地NPP也将呈现下降趋势,15.6%的草地减产超过20%.这表明未来气候变化情景下内蒙古草地降水略增的态势不足以补偿因温度升高对草地植被初级生产力所产生的负面作用,草地资源的可持续发展将面临更大挑战.     

Pinus taeda forest growth predictions in the 21st century vary with site mean annual temperature and site quality

Climate projections from 20 downscaled global climate models (GCMs) were used with the 3‐PG model to predict the future productivity and water use of planted loblolly pine (Pinus taeda) growing across the southeastern United States. Predictions were made using Representative Concentration Pathways (RCP) 4.5 and 8.5. These represent scenarios in which total radiative forcing stabilizes before 2100 (RCP 4.5) or continues increasing throughout the century (RCP 8.5). Thirty‐six sites evenly distributed across the native range of the species were used in the analysis. These sites represent a range in current mean annual temperature (14.9–21.6°C) and precipitation (1,120–1,680 mm/year). The site index of each site, which is a measure of growth potential, was varied to represent different levels of management. The 3‐PG model predicted that aboveground biomass growth and net primary productivity will increase by 10%–40% in many parts of the region in the future. At cooler sites, the relative growth increase was greater than at warmer sites. By running the model with the baseline [CO₂] or the anticipated elevated [CO₂], the effect of CO₂ on growth was separated from that of other climate factors. The growth increase at warmer sites was due almost entirely to elevated [CO₂]. The growth increase at cooler sites was due to a combination of elevated [CO₂] and increased air temperature. Low site index stands had a greater relative increase in growth under the climate change scenarios than those with a high site index. Water use increased in proportion to increases in leaf area and productivity but precipitation was still adequate, based on the downscaled GCM climate projections. We conclude that an increase in productivity can be expected for a large majority of the planted loblolly pine stands in the southeastern United States during this century.     

多气候情景下中国森林火灾风险评估

森林火灾风险主要取决于致灾因子、承灾体以及防灾减灾能力,综合评估和预测森林火灾风险是制定科学的林火管理政策的基础.本文基于经典自然灾害风险模型和可获取数据构建森林火灾风险评估模型与指标体系,评估过去和未来的森林火灾风险.未来气候情景数据包括RCP 2.6、RCP 4.5、RCP 6.0和RCP 8.5下5个全球气候模式(GFDL-ESM2M、HadGEM2-ES、IPSL-CM5A-LR、 MIROC-ESM-CHEM和NorESM1-M)日值数据.根据最高温度、最小相对湿度、平均风速和每日降水量分别计算1987—2050年历史观测数据和未来气候情景下各格点每日火险天气指数系统中各个指数.结果表明: 1987—2010年,森林火灾风险高和很高的区域分别占21.2%和6.2%,主要分布在大兴安岭和长白山地区、云南大部分区域和南方零散分布的区域.森林火灾可能性高和很高的区域主要分布在东北和西南地区,分别占森林面积的13.1%和4.0%.与观测时段相比,2021—2050年RCP 2.6、RCP 4.5、RCP 6.0和RCP 8.5情景下森林火灾可能性高和很高的区域分别增加0.6%、5.5%、2.3%和3.5%,华北地区增幅明显.气候变化引起的森林火灾高风险区域有些增加,RCP 8.5情景下增幅最明显(+1.6%).     

Uncertainties in the projection of species distributions related to general circulation models

Ecological Niche Models (ENMs) are increasingly used by ecologists to project species potential future distribution. However, the application of such models may be challenging, and some caveats have already been identified. While studies have generally shown that projections may be sensitive to the ENM applied or the emission scenario, to name just a few, the sensitivity of ENM‐based scenarios to General Circulation Models (GCMs) has been often underappreciated. Here, using a multi‐GCM and multi‐emission scenario approach, we evaluated the variability in projected distributions under future climate conditions. We modeled the ecological realized niche (sensu Hutchinson) and predicted the baseline distribution of species with contrasting spatial patterns and representative of two major functional groups of European trees: the dwarf birch and the sweet chestnut. Their future distributions were then projected onto future climatic conditions derived from seven GCMs and four emissions scenarios using the new Representative Concentration Pathways (RCPs) developed for the Intergovernmental Panel on Climate Change (IPCC) AR5 report. Uncertainties arising from GCMs and those resulting from emissions scenarios were quantified and compared. Our study reveals that scenarios of future species distribution exhibit broad differences, depending not only on emissions scenarios but also on GCMs. We found that the between‐GCM variability was greater than the between‐RCP variability for the next decades and both types of variability reached a similar level at the end of this century. Our result highlights that a combined multi‐GCM and multi‐RCP approach is needed to better consider potential trajectories and uncertainties in future species distributions. In all cases, between‐GCM variability increases with the level of warming, and if nothing is done to alleviate global warming, future species spatial distribution may become more and more difficult to anticipate. When future species spatial distributions are examined, we propose to use a large number of GCMs and RCPs to better anticipate potential trajectories and quantify uncertainties.     

云南省褐飞虱早期迁入虫源及其发生大气背景分析

为了探明我国西南稻区褐飞虱早期迁入种群的虫源地,为后期预测和防治提供依据,通过对2007—2016年云南植保站4—5月份褐飞虱虫情进行分析,选取出云南省勐海、芒市、江城、师宗、麻栗坡、广南6个代表性站点,利用WRF-FlexPart耦合模式对2013年、2015年和2016年这些站点的早期迁入峰进行了数值模拟,得到近年来云南省褐飞虱早期迁入虫源的虫源地。选取了2013年褐飞虱早期迁入量较大的迁入峰进行了大气背景分析,结合峰期影响褐飞虱迁飞的大气动力场、温度场和相对湿度场,探讨了影响云南省褐飞虱早期迁入的大气背景。研究结果表明:(1)近年来云南省褐飞虱迁入的虫源主要来自缅甸,部分来自老挝和泰国,少数来自越南,还有极少量来自孟加拉国。(2)这一时期,当释放高度分别为1500、2000 m时,褐飞虱的迁飞高度分别集中在2216 m和2489 m,平均迁飞高度分别是2167、2454 m,从不同释放高度回推的褐飞虱迁飞高度的起伏趋势具有较好的一致性,表明模式能较好地反映系统性垂直气流和下垫面起伏对其上层三维流场和种群迁飞的影响。(3)选取2013年5月22—26日发生在云南勐海、麻栗坡和广南的一次典型褐飞虱迁入过程,分析了大气背景场对褐飞虱迁飞的影响,结果显示:受印缅低压控制或影响,高空从境外虫源区至云南降虫区有西南水平气流作为种群输送动力;温场在降虫区东北侧有"低温屏障墙"存在,阻止了种群的继续北迁;垂直速度场上虫源区有上升气流促使种群起飞迁出,降虫区有下沉气流促使种群降落;弱降水形成的拖曳下沉气流对降虫也十分有利;相对湿度场对此次迁飞过程不形成任何胁迫。     

LUCC及气候变化对澜沧江流域径流的影响

运用SWAT模型,通过设置不同情景,定量分析了澜沧江流域土地利用与土地覆被变化(Land Use and Land Cover Change,LUCC)和气候变化对径流的影响,并结合RCP4.5、RCP8.5两种排放情景对流域未来径流的变化进行预估。结果表明:SWAT模型在澜沧江流域径流模拟中具有很好的适用性,率定期和验证期的模型参数R~2分别达到0.80、0.74,Ens分别达到0.80、0.73;从土地利用变化方面考虑,流域内的农业用地转化为林地或草地,均会导致径流量的减少,而林地转化为草地则会引起径流量的增加,农业用地、林地、草地三者对径流增加贡献顺序为农业用地草地林地,从气候变化方面考虑,流域内的径流量与降雨量成正比,与气温成反比;2006—2015年间澜沧江流域气候变化引起的月均径流减少幅度强于LUCC引起的月均径流增加幅度,径流变化由气候变化主导;在RCP4.5和RCP8.5两种排放情景下,2021—2050年间澜沧江流域的径流均呈增加趋势,这与1971—2015年间流域实测径流的变化趋势相反。     

Coral Reef Habitat Response to Climate Change Scenarios

Coral reef ecosystems are threatened by both climate change and direct anthropogenic stress. Climate change will alter the physico-chemical environment that reefs currently occupy, leaving only limited regions that are conducive to reef habitation. Identifying these regions early may aid conservation efforts and inform decisions to transplant particular coral species or groups. Here a species distribution model (Maxent) is used to describe habitat suitable for coral reef growth. Two climate change scenarios (RCP4.5, RCP8.5) from the National Center for Atmospheric Research’s Community Earth System Model were used with Maxent to determine environmental suitability for corals (order Scleractinia). Environmental input variables best at representing the limits of suitable reef growth regions were isolated using a principal component analysis. Climate-driven changes in suitable habitat depend strongly on the unique region of reefs used to train Maxent. Increased global habitat loss was predicted in both climate projections through the 21^st century. A maximum habitat loss of 43% by 2100 was predicted in RCP4.5 and 82% in RCP8.5. When the model is trained solely with environmental data from the Caribbean/Atlantic, 83% of global habitat was lost by 2100 for RCP4.5 and 88% was lost for RCP8.5. Similarly, global runs trained only with Pacific Ocean reefs estimated that 60% of suitable habitat would be lost by 2100 in RCP4.5 and 90% in RCP8.5. When Maxent was trained solely with Indian Ocean reefs, suitable habitat worldwide increased by 38% in RCP4.5 by 2100 and 28% in RCP8.5 by 2050. Global habitat loss by 2100 was just 10% for RCP8.5. This projection suggests that shallow tropical sites in the Indian Ocean basin experience conditions today that are most similar to future projections of worldwide conditions. Indian Ocean reefs may thus be ideal candidate regions from which to select the best strands of coral for potential re-seeding efforts.