基于机器学习估算青藏高原多年冻土区草地净初级生产力

净初级生产力(NPP)的估算还存在很大的不确定性。本文利用机器学习算法(RF和RBF-ANN)估算了2002—2018年青藏高原多年冻土区草地NPP,分析了青藏高原多年冻土区草地NPP的时空格局、变化特征及其对气候因子的响应。结果表明:(1)机器学习估算结果可靠,简单易行。(2)青藏高原多年冻土区草地NPP表现为东南向西北逐渐递减的趋势;NPP总量为175.39 Tg C·a~(-1),单位面积均值为164.10 g C·m~(-2)·a~(-1),呈波动上升的趋势。(3)青藏高原多年冻土区草地NPP增加的面积占20.49%;各草地类型的NPP增长幅度不一致表现为高寒沼泽草甸高寒草甸高寒草原高寒荒漠草原。(4)温度是青藏高原多年冻土区草地NPP变化的主导因子,降水的影响沿东南向西北逐渐减弱。     

围封与放牧对青藏高原草地生物量与功能群结构的影响

以青藏高原高寒草甸、高寒草原、温性荒漠草原的退化草地为基础,比较了5年围封样地与放牧样地的生物量和群落结构。结果表明:(1)围封后3类草地地上总生物量较放牧样地分别显著增加了48.1%、10.8%、34.5%;地下生物量对围封的响应与地上总生物量一致,且围封后高寒草原0~10cm土层根系生物量比例较放牧地显著下降。(2)围封显著降低了高寒草甸的根冠比,高寒草原和温性荒漠草原无显著变化。(3)与放牧地相比,围封显著增加了高寒草甸和高寒草原禾本科植物的生物量比例,高寒草甸杂类草显著降低,温性荒漠草原功能群生物量比例无显著差异。     

青藏高原两种高寒草地植被变化及其水温驱动因素分析

高寒草甸和高寒草原作为青藏高原两种重要植被类型,研究其植被变化与气候变化相关性,有助于为青藏高原两种高寒草地生态系统应对全球气候变化管理提供参考。以位于同纬度的三江源高寒草甸和阿里高寒草原为研究对象,基于植被净初级生产力(Net Primary Productivity, NPP)变化表征植被变化,利用NPP数据和气象数据,分别分析两地2000—2017年植被NPP、降水和气温时空变化差异;利用Sen+Mann-Kendall趋势检验,研究两种高寒草地气候与植被净初级生产力变化趋势;以县域统计年鉴牛羊肉产量表征放牧强度,研究放牧活动对高寒草地植被变化的影响;通过Pearson相关和偏相关分析方法,分别研究降水和气温对两种高寒草地植被NPP变化影响差异。研究结果表明:(1)2000—2017年三江源高寒草甸和阿里高寒草原区年平均气温以0.085℃/a和0.084℃/a的趋势上升,降水以平均每年3.87 mm和2.23 mm的趋势增加,高寒草甸区变暖变湿速率较高寒草原区快。(2)三江源高寒草甸和阿里高寒草原植被NPP均呈现由东南向西北逐渐降低空间格局;2000—2017年高寒草甸区57.7...     

1982-2010年中国草地净初级生产力时空动态及其与气候因子的关系

植被净初级生产力（NPP）及其与气候变化的响应研究是全球变化的核心内容之一。论文基于长时间序列遥感数据和气象数据,通过光能利用率模型（Carnegie-Ames-Stanford approach, CASA模型）模拟了1982-2010 年中国草地NPP,进而分析其时空变化特征及其与气候水热因子的相关性。结果表明：（1）1982-2010年中国草地年平均NPP为282.0 gC m^-2a^-1,年总NPP的多年平均值为988.3 TgC;空间分布上呈现东南部高西北部低的特征。（2）近30年中国草地NPP增加速率为0.6 gC m^-2a^-1,呈增加趋势的面积占中国草地总面积的67.2%;总体上,中国草地NPP呈极显著和显著增加的比例（35.8%、8.0%）大于呈极显著和显著减少的比例（5.8%、4.8%）;NPP明显增加的区域主要包括青藏高原西部、阿拉善高原、新疆西部;明显降低的区域主要分布在内蒙古地区;不同年代际和不同草地类型的NPP变化趋势差异明显。（3）草地NPP与降水量的相关性高于与温度的相关性。不同草地类型NPP对气温、降水量的响应程度不同,其中温性荒漠草原 、温性草原、温性草甸草原的NPP与降水量均达到显著正相关（P<0.05）。     

宁夏典型温性天然草地固碳特征

本文研究了宁夏草甸草原、温性草原、草原化荒漠和荒漠草原4种温性典型天然草地生态系统碳储量及其构成特征。结果表明: 草甸草原、温性草原、草原化荒漠和荒漠草原植被总生物量分别为1178.91、481.22、292.80和209.09 g·m^-2。其中,地下根系生物量是构成草甸草原和温性草原植被总生物量的主体,分别占总生物量的73.1%和56.6%;地上植被生物量是构成草原化荒漠和荒漠草原植被总生物量的主体,分别占总生物量的50.3%和47.6%;枯落物生物量占比较低,分别仅为8.5%、8.0%、6.4%和16.2%。草甸草原、温性草原、草原化荒漠和荒漠草原4种天然草地生态系统碳储量分别为13.90、5.94、2.69和2.37 kg·m^-2,其中植被碳储量分别为470.26、192.23、117.17、83.36 g·m^-2,0～40 cm土层土壤有机碳储量分别为13.43、5.75、2.58和2.29 kg·m^-2,土壤有机碳储量是构成宁夏典型天然草地碳储量的主体,分别占到了生态系统碳储量的96.6%、96.8%、95.6%和96.5%。4种草地类型植被总生物量、植被碳储量、土壤有机碳储量和生态系统碳储量均表现为:草甸草原＞温性草原＞草原化荒漠＞荒漠草原。     

改进CASA模型在内蒙古草地生产力估算中的应用

CASA(Carnegie-Ames-Stanford Approach)模型是针对北美地区植被而建立的净第一性生产力(NPP)模型,本文通过修改CASA模型参数(PAR、FPAR),使之成为适合草地NPP估算的模型。采用改进后的CASA模型计算了2003年内蒙古草地生长季的生产力,并利用2003年7和8月的地面实测样方数据对改进后的模型进行验证。结果表明,2003年内蒙古草地生长季总的第一性生产量为28.59×1012gC,利用改进后的CASA模型模拟的NPP值与地面实测值基本一致。除了温性荒漠类草地退化程度大于Ⅱ度时误差较大外,其它草地类型模拟的精度>80%,未退化草甸草原和典型草原的模拟精度达到90%。     

青海省高寒草地土壤无机碳储量空间分异特征

以青海省主要高寒草地类型即温性草原、高寒草原、草甸草原以及高寒草甸为研究对象,进行其土壤无机碳(SIC)储量分异特征研究。结果表明,在取样剖面内四类草地SIC储量依次为温性草原高寒草原草甸草原高寒草甸,其值分别为16.51、16.48、3.37 kg C/m2和0.12 kg C/m2,温性草原与高寒草原土壤是高寒草地无机碳的主要储蓄库。温性草原与高寒草原50—100cm SIC储量分别占0—100cm总储量的60.2%和51.8%,而草甸草原与高寒草甸30—50cm SIC储量分别占0—50cm总储量的50.1%和55.8%,说明土体下部是高寒草地无机碳储蓄的主要场所。四类草地SIC含量随土层深度的变化过程各异,其碳酸钙富集层与野外剖面调查所得碳酸钙盐酸泡沫检验结果相吻合。SIC储量与土壤容重和土壤p H均呈显著正相关关系,与地下生物量呈显著负相关关系。     

新疆草地净初级生产力(NPP)空间分布格局及其对气候变化的响应

分析植被物候与净初级生产力对气候变化的响应一直是研究全球变化的核心内容之一。新疆草地生态系统极为脆弱,对气候和环境变化的影响十分敏感,在新疆地区开展草地物候和净初级生产力及其对气候变化的响应有着独特的意义。基于遥感数据和野外台站实测数据,利用CASA模型模拟了新疆草地植被净初级生产力(NPP),阐述了2001—2014年新疆地区草地的NPP的空间格局及与气象因子的关系。(1)通过实测生物量精度检验表明,CASA模型基本可以反映新疆地区草地植被NPP。(2)2001—2014年新疆草地NPP平均值为102.49 gC m~(-2) a~(-1)。不同草地类型的NPPA存在明显差异。其中,山地草甸平均NPP最高,达到252.37 gC m~(-2) a~(-1);温性草甸草原次之,为204.93 gC m~(-2) a~(-1)。高寒荒漠和温性荒漠的平均NPP最低,分别为43.94 gC m~(-2) a~(-1),53.11 gC m~(-2) a~(-1)。(3)新疆NPP的空间分布格局具有如下特点:山区NPP高于盆地NPP,北疆NPP高于南疆NPP;(4)降水能够促进新疆草地NPP增加,其中,夏季和秋季的降水对草地NPP的影响最为明显,温度对新疆地区草地NPP影响不大。降雨可以促进新疆草原NPP的增加。特别是在降水量较少但温度较高的草原,如温带荒漠草原、温带草原沙漠、温带沙漠、低地草甸等,年降水量和夏秋降水量对草地NPP有显著影响。温度对新疆草地NPP的影响不大。通过对新疆草地空间格局的分析,研究了草地NPP对气候变化的响应,为合理规划新疆草地的生产和利用,以及草地生态系统的健康发展和应对气候变化提供决策依据。     

宁夏典型天然草地土壤团聚体稳定性及其有机碳分布特征

土壤团聚体作为土壤结构的基本单元和土壤有机碳存在的重要场所,对维系土壤质量和生态环境可持续发展具有重要作用。为探究宁夏天然草地土壤团聚体稳定性及其有机碳分布特征,以宁夏4种典型的天然草地（草甸草原、温性草原、草原化荒漠和荒漠草原）为研究对象,系统开展研究。结果表明：草甸草原、温性草原和草原化荒漠各粒级机械团聚体和水稳性团聚体含量均呈现随粒径减小而先减小后增大趋势,荒漠草原机械团聚体含量呈现随粒径减小而先减小后增大的趋势,水稳性团聚体含量呈现随粒径减小逐渐增大的趋势;且草甸草原和温性草原机械稳定性和水稳性团聚体在0-10 cm、10-20 cm和20-40 cm 3个土层均以>0.25 mm大团聚体为主,草原化荒漠和荒漠草原水稳性团聚体均以<0.25 mm的微团聚体为主。4种草地类型机械团聚体和水稳性团聚体MWD和GMD,以及各粒级土壤团聚体有机碳含量均表现为草甸草原和温性草原显著高于草原化荒漠和荒漠草原。草甸草原和温性草原在3个土层深度均以>0.25 mm的大团聚体对有机碳的贡献率最高,分别达到43.86%、59.26%、58.89%和58.02%、54.03%、57.15%;草原化荒漠和荒漠草原在3个土层深度,均以<0.25 mm的微团聚体贡献率高,分别达到了60.37%、55.86%、54.33%和75.61%、78.34%、78.74%。结果表明：草甸草原和温性草原较草原化荒漠和荒漠草原土壤团聚体稳定性更高,更有利于土壤有机碳累积。     

青藏高原植物群落样方数据集

为便于了解青藏高原植被特殊物种组成、群落特征及分布格局, 该文利用2018-2021年在青藏高原不同区域内调查的338个样地、共758个样方的数据, 分析了高原植物群落的物种组成、区系特征和植被分类, 整合形成青藏高原植物群落样方数据集。结果表明: 青藏高原高寒和温性植物群落758个样方中, 共有植物65科279属837种; 其中, 物种数最多的5个科依次是菊科(134种)、禾本科(88种)、豆科(75种)、蔷薇科(43种)和莎草科(40种), 物种数最多的5个属依次是蒿属(Artemisia, 29种)、马先蒿属(Pedicularis, 27种)、风毛菊属(Saussurea, 25种)、黄耆属(Astragalus, 23种)和早熟禾属(Poa, 23种)。植物区系主要由温带(145属)和世界广布(36属)的成分所组成。物种的生长型以草本(83.51%)和灌木(10.87%)为主, 草本和木本的生活型分别以多年生草本(88.23%)和落叶灌木(83.67%)为主。338个样地可以划分为4个植被型组, 10个植被型, 20个植被亚型, 78个群系组和117个群系, 其中草原群系34个, 草甸群系33个, 荒漠群系33个, 灌丛群系14个和针叶林群系3个。该数据集覆盖青藏高原绝大部分高寒灌丛、高寒草原、高寒草甸、高寒荒漠、温性草原和温性荒漠植被区域, 可为研究高原植被特征和地带性分异规律, 气候变化和人类活动对高原植被的影响及其生态恢复提供坚实的数据基础, 同时为下一代中国植被图的更新提供参考。     

Estimating net primary productivity of grasslands from field biomass measurements in temperate northern China

Data on field biomass measurements in temperate grasslands of northern China (141 samples from 74 sites) were obtained from 23 Chinese journals, reports and books. Net primary productivity (NPP) of grasslands was estimated using three algorithms (peak live biomass, peak standing crop and maximum minus minimum live biomass), respectively, based on availability of biomass data in sites. 135 samples which have aboveground biomass (AGB) measurements, have peak AGB ranges from 20 to 2021 g m^–2 (mean = 325.3) and the aboveground NPP (ANPP) ranges from 15 to 1647.1 g m^–2 per year (mean = 295.7). 72 samples which have belowground biomass (BGB) measurements, have peak BGB ranges from 226.5 to 12827.5 g m^–2 (mean = 3116) and the belowground NPP (BNPP) ranges from 15.8 to 12827.5 g m^–2 per year (mean = 2425.6). In total 66 samples have the total NPP (TNPP), ranging from 55.3 to 13347.8 g m^–2 per year (mean = 2980.3). Mean peak biomass and NPP varied from different geographical sampling locations, but they had a general rough regularity in ten grasslands. Meadow, mountain and alpine grasslands had high biomass and NPP (sometimes including saline grassland). Forested steppe, saline grassland and desert had median values. Meadowed and typical steppes had low biomass and NPP (sometimes including desert). The lowest biomass and NPP occurred in deserted steppe and stepped desert. Grassland ANPP has significant positive relationships with annual and summer precipitation as well as summer temperature (all p<0.01). However, grassland BNPP and TNPP have more significant negative relationships with summer temperature (p<0.01) than with annual temperature (p<0.05). The analysis of climate – productivity correlations implied that aboveground productivity is more controlled by rainfall, whereas belowground and total productivity is more influenced by temperature in the temperate grasslands of northern China. The present study might underestimate grassland NPP in northern China due to limitation of biomass measurements. Data on relative long-term aboveground and belowground biomass dynamics, as well as data of standing dead matter, litterfall, decomposition and turnover, are required if grassland NPP is to be more accurately estimated and the role of temperate grasslands in the regional to global carbon cycles is to be fully appreciated. This revised version was published online in June 2006 with corrections to the Cover Date.     

Biomass allocation and productivity–richness relationship across four grassland types at the Qinghai Plateau

Aboveground biomass (AGB) and belowground biomass (BGB) allocation and productivity–richness relationship are controversial. Here, we assessed AGB and BGB allocation and the productivity–richness relationship at community level across four grassland types based on the biomass data collected from 80 sites across the Qinghai Plateau during 2011–2012. The reduced major axis regression and general linear models were used and showed that (a) the median values of AGB were significantly higher in alpine meadow than in other three grassland types; the ratio of root to shoot (R/S) was significantly higher in desert grassland (36.06) than intemperate grassland (16.60), alpine meadow (13.35), and meadow steppe (19.46). The temperate grassland had deeper root distribution than the other three grasslands, with about 91.45% roots distributed in the top 30 cm soil layer. (b) The slopes between log AGB and log BGB in the temperate grassland and meadow steppe were 1.09 and 1, respectively, whereas that in the desert grassland was 1.12, which was significantly different from the isometric allocation relationship. A competitive relationship between AGB and BGB was observed in the alpine meadow with a slope of ?1.83, indicating a trade‐off between AGB and BGB in the alpine meadow. (c) A positive productivity–richness relationship existed across the four grassland types, suggesting that the positive productivity–richness relationship might not be affected by the environmental factors at the plant location. Our results provide a new insight for biomass allocation and biodiversity–ecosystem functioning research.     

中国西北部草地植被降水利用效率的时空格局

植被降水利用效率(PUE)是评价干旱、半干旱地区植被生产力对降水量时空动态响应特征的重要指标。利用光能利用率CASA(Carnegie-Ames-Stanford Approach)模型估算了2001—2010年中国西北七省草地植被净初级生产力(NPP),结合降水量的空间插值数据,分析了近十年草地植被PUE的空间分布、主要植被类型的PUE,及其时空格局的驱动因素。结果表明:(1)2001—2010年西北七省草地植被的平均PUE为0.68 g C m~(-2)mm~(-1)。在温带草地各类型中,PUE的大小顺序为草甸草原灌丛典型草原荒漠草原荒漠,各类型草地PUE之间差异显著;对于高寒草地而言,高寒草原的PUE显著高于高寒草甸;(2)温带草地PUE的空间分布与年降水量的关系呈抛物线形状(R~2=0.65,P0.001),PUE峰值出现在年降水量P=472.9 mm的地区;荒漠地区植被PUE的空间分布与年降水量的关系同样呈抛物线形状(R~2=0.63,P0.001),PUE峰值出现在年降水量P=263.2mm的地区;对于高寒草地而言,年降水量100 mm以下地区植被PUE变异较大,年降水量大于100 mm的地区植被PUE的空间分布随降水量的变化呈抛物线形状(R~2=0.47,P0.001),PUE峰值出现在P=559.2 mm的地区;(3)不同降水量区域,植被PUE的年际波动与气候因子的关系也有较大差别。在年降水量为200—1000 mm的地区,草地PUE的年际波动与年降水量的变化呈正相关;在年降水量高于1050 mm的地区,草地PUE的年际波动与年均温的相关性较强,相关系数最高可达到0.4。     

新疆天山中段巴音布鲁克高山草地碳含量及其垂直分布

对新疆天山中段巴音布鲁克高山草地(高山草原和高山草甸)的生物量和土壤有机碳进行了测定。结果表明积分和分层两种估算方法得到的土壤有机碳含量没有显著差异,但积分算法的优势在于能推算不同深度的土壤有机碳含量,便于与以往的研究进行比较;高山草甸的生物量和土壤有机碳含量均大于高山草原;其地上生物量分别为71.4和94.9 g C·m^-2,地下生物量分别为1 033.5和1 285.2 g C·m^-2; 1 m深度的土壤有机碳含量分别为25.7和38.8 kg·m^-2;地上生物量呈现较为明显的垂直分布格局,即随着海拔的增加,地上生物量先呈增加趋势,但当海拔超过一定界限后生物量突然下降;土壤含水率是导致南坡(阳坡)土壤有机碳含量空间分异的重要因素,但北坡(阴坡) 土壤有机碳含量还可能与地形、土壤质地等其它因素有关;两种高山草地(高山草原和高山草甸)的根系集中分布在40 cm以内,0~20 cm根系分别占其总量的76%和80%;土壤有机碳集中分布在60 cm以内,0~20 cm土壤有机碳分别占其总量的55%和49%;高山草原根系分布比高山草甸深,但较低的地下/地上比使得其有机碳分布比高山草甸浅。     

The relationship between species richness and productivity in four typical grasslands of northern China

The relationship between plant species richness and primary productivity has long been acentral topic in biodiversity research.In this paper,we examine the relationship between species richness and productivity in four typical grasslands of Northern China at different spatial scales.At the community scale,a positive correlation was found for six of seven communities.A unimodal pattern was found only for one community (Stipa glareosa community),while at a large scale (vegetation type or landscape/region),the relationship was also found significantly positive.Species richness ranged from 4 to 35 species,and community aboveground productiand aboveground productivity were found in alpine meadow,followed by meadow steppe,typical steppe and desert steppe.     

再论中国植被分区的原则和方案

 本文首先提出中国植被分区的原则和依据以及高级分区单位的标志,将全国划分为八大植被区,其中有五个区包括两个亚区,因作者主张亚区与区作为同一级的辅助单位看待,所以实际上把全国分为13个高级植被分区单位。除少数例外,每一植被区或亚区都分为一过渡带和典型带。全文以植被区或亚区、植被地带或亚地带为单位,论述其植被特点。     

Temporal intraspecific trait variability drives responses of functional diversity to interannual aridity variation in grasslands

Interannual climate variation alters functional diversity through intraspecific trait variability and species turnover. We examined these diversity elements in three types of grasslands in northern China, including two temperate steppes and an alpine meadow. We evaluated the differences in community‐weighted means (CWM) of plant traits and functional dispersion (FDis) between 2 years with contrasting aridity in the growing season. Four traits were measured: specific leaf area (SLA), leaf dry matter content (LDMC), leaf nitrogen concentration (LNC), and the maximum plant height (H). CWM for SLA of the alpine meadow increased in the dry year while that of the temperate steppe in Qinghai showed opposing trends. CWM of LDMC in two temperate steppes became higher and CWM of LNC in all grasslands became lower in the dry year. Compared with the wet year, FDis of LDMC in the alpine meadow and FDis of LNC in the temperate steppe in Qinghai decreased in the dry year. FDis of H was higher in the dry year for two temperate steppes. Only in the temperate steppe in Qinghai did the multi‐FDis of all traits experience a significant increase in the dry year. Most of the changes in CWM and FDis between 2 years were explained by intraspecific trait variation rather than shifts in species composition. This study highlights that temporal intraspecific trait variation contributes to functional responses to environmental changes. Our results also suggest it would be necessary to consider habitat types when modeling ecosystem responses to climate changes, as different grasslands showed different response patterns.     

青藏高原草地植被覆盖变化及其与气候因子的关系

为揭示气候变化对青藏高原草地生态系统的影响及其生态适应机制,利用1982~1999年间的NOAA/AVHRR NDVI数据和对应的气候资料,研究了近20年来青藏高原草地植被覆盖变化及其与气候因子的关系。结果表明,18年来研究区生长季NDVI显著增加(p=0.015),其增加率和增加量分别为0.41% a^-1和0.001 0 a^-1。生长季提前和生长季生长加速是青藏高原草地植被生长季NDVI增加的主要原因。春季为NDVI增加率和增加量最大的季节,其增加率和增加量分别为0.92% a^-1和0.001 4 a^-1;夏季NDVI的增加对生长季NDVI增加的贡献相对较小,其增加率和增加量分别为0.37% a^-1和0.001 0 a^-1。3种草地(高寒草甸、高寒草原、温性草原)春季NDVI均显著增加(p<0.01;p=0.001; p=0.002); 高寒草甸夏季NDVI显著增加(p=0.027),而高寒草原和温性草原夏季NDVI呈增加趋势,但都不显著(p=0.106; p=0.087);3种草地秋季NDVI则没有明显的变化趋势(p=0.585; p=0.461; p=0.143)。3种草地春季NDVI的增加是由春季温度上升所致。高寒草地(高寒草甸和高寒草原)夏季NDVI的增加是夏季温度和春季降水共同作用的结果。温性草原夏季NDVI变化与气候因子并没有表现出显著的相关关系。高寒草地植被生长对气候变化的响应存在滞后效应。