Preliminary Estimation of Soil Carbon Sequestration of China’s Forests during 1999-2008

The National Forest Inventory (NFI) is an important resource for estimating the national carbon balance (These data were unpublished data, and we could only obtain the data before 2008 through data search by now). Based on the data from sample plots, the literature, and NFI, as well as the relationships between volume, biomass, annual litterfall and soil respiration of different forest types, the net ecosystem production (NEP), changes in forest biomass carbon storage (△Cbiomass) and non-respiratory losses (NR) of China’s forests during 1999-2008 were estimated, and the forest soil carbon sequestration (△Csoil) was assessed according to the carbon balance principle of the forest ecosystem (△Csoil = NEP - NR - △Cbiomass). The results showed that the total NEP, △Cbiomass, NR and △Csoil values for China’s forests were 157.530, 48.704, 31.033 and 77.793 Tg C yr^-1 respectively, and average NEP, △Cbiomass, NR, and △Csoil values were 101.247, 31.303, 19.945 and 49.999 g C m^-2 yr^-1 respectively. There were large spatial differences in forest soil carbon sequestration in different parts of China. The forest soil in Jiangxi, Hunan, Zhejiang, Fujian, Anhui, Shanxi, Shaanxi, Guangxi and Liaoning served as carbon sources and the carbon released was about 25.507 Tg C yr^-1. The other 22 provinces served as carbon sinks and the average carbon sequestration by forest soil came to 103.300 Tg C yr^-1. This research established a method for evaluating soil carbon sequestration by China’s forests based on the NFI, which is a useful supplement to current statistical data-based studies on the forest ecosystem carbon cycle, and can promote comparable studies on forest soil carbon sequestration with consistent research methods at the regional scale.     

Effects of Thinning Intensity on Carbon Stocks and Changes in Larch Forests in China Northeast Forest Region

Thinning represents an important and frequently used silvicultural technique that improves forest wood products and has obvious effects on forest carbon stocks and stock changes. Here, we used the carbon budget model CBM-CFS3 to simulate the effects of thinning on carbon storage and changes in larch forest ecosystems under thirteen thinning scenarios. Simulation results demonstrate that strong thinning greatly reduces the biomass carbon density of larch forests compared to non-thinning forests. The minimum and maximum average biomass carbon density, respectively, were 30.3 tC ha^-1 and 47.8 tC ha^-1, a difference of 58% under set scenarios in the simulated time scale. The dead organic matter (including soil) carbon density increased in all thinned larch forests stands, compared with non-thinning stands, and the pattern of variation was opposite to that found for biomass carbon density. However, the total ecosystem carbon density of larch forests declined with thinning because the increase in dead organic matter carbon is insufficient to offset the loss of biomass carbon caused by thinning. Thus, strong thinning can transform larch forest ecosystems from carbon sinks into carbon sources. Future work should consider the carbon sequestered in wood materials acquired via thinning and their use as substitutes for other construction materials with less favorable lifecycle carbon footprints, such as steel, cement, aluminum and PVC.     

内蒙古草地生态系统碳源/汇时空格局及其与气候因子的关系

草地净生态系统生产力(NEP)能够表征草地生态系统的固碳能力,直接定性定量地描述草地生态系统的碳源/汇性质和大小.因此,研究区域尺度草地生态系统NEP具有重要的实践意义.基于卫星遥感资料,地面气象观测资料及实地采样数据,结合光能利用率模型估算了2001-2012年内蒙古草地生态系统净初级生产力(NPP).同时,应用土壤呼吸模型估算了逐月平均土壤呼吸量(Rs),进而估算内蒙古草地净生态系统生产力(NEP).研究揭示了2001-2012年内蒙古草地生态系统NPP,NEP年际变化规律,气候因子的年际变化规律,以及草地NPP,NEP与主要气候因子的关系.结果表明:2001年以来,内蒙古草地生态系统整体发挥碳汇效应,净碳汇总量达到0.55 Pg C,年均固碳率约为0.046 Pg C/a;研究区大部分草地NPP,NEP与降水均呈正相关关系,与温度相关性不显著,内蒙古草地生态系统仍有巨大的固碳潜力.     

Characteristics and Carbon Storage of a Typical Mangrove Island Ecosystem in Beibu Gulf,South China Sea

By studying the structural characteristics and carbon storage of the mangrove island ecosystem in the Beibu Gulf, this study provides a scientific basis for mangrove ecological compensation in the coastal areas of Guangxi, South China Sea. On the basis of the unmanned aerial vehicle remote sensing images and a sample plot survey, the object-oriented multi-scale segmentation algorithm is used to extract the mangrove community type information, and one-way analysis of variance is conducted to analyse the structural characteristics of the mangrove community. The carbon storage and carbon density of different mangrove ecosystems were obtained based on the allometric growth equation of mangrove plants. The analysis yielded four main results. (1) The island group covers about 27.10 ha, 41.32% (11.20 ha) of which represents mangrove areas. The mangrove forest is widely distributed in the tidal flats around the islands. (2) The main mangrove types were Aegiceras corniculatum, Kandelia obovata + Aegiceras corniculatum, Avicennia marina + Aegiceras corniculatum and Avicennia marina communities. (3) Amongst the mangrove plants, Avicennia marina had the highest biomass (18.52 kg plant^-1), followed by Kandelia obovata (7.84 kg plant^-1) and Aegiceras corniculatum (3.85 kg plant^-1). (4) The mangrove carbon density difference was significant. Kandelia obovata had the highest carbon density (148.03 t ha^-1), followed by Avicennia marina (104.79 t ha^-1) and Aegiceras corniculatum (99.24 t ha^-1). The carbon storage of the mangrove island ecosystem was 1194.70 t, which was higher than in other areas with the same latitude. The carbon sequestration capacity of the mangrove was relatively strong.     

Altitude pattern of carbon stocks in desert grasslands of an arid land region

For estimating the altitude-distribution pattern of carbon stocks in desert grasslands and analyzing the possible mechanism for this distribution, a detailed study was performed through a series of field vegetation surveys and soil samplings from 90 vegetation plots and 45 soil profiles at 9 sites of the Hexi Corridor region, Northwestern China. Aboveground, belowground, and litter-fall biomass-carbon stocks ranged from 43 to 109, 23 to 64, and 5 to 20 g/m2, with mean values of 80.82,44.91, and 12.15 g/m2, respectively. Soil-carbon stocks varied between 2.88 and 3.98 kg/m2, with a mean value of 3.43 kg/m2 in the 0–100-cm soil layer. Both biomass-and soil-carbon stocks had an increasing tendency corresponding to the altitudinal gradient. A significantly negative correlation was found between soil-carbon stock and mean annual temperature, with further better correlations between soil-and biomass-carbon stocks, and mean annual precipitation. Furthermore, soil carbon was found to be positively correlated with soil-silt and-clay content, and negatively correlated with soil bulk density and the volume percent of gravel. It can be concluded that variations in soil texture and climate condition were the key factors influencing the altitudinal pattern of carbon stocks in this desert-grassland ecosystem. Thus, by using the linear-regression functions between altitude and carbon stocks, approximately 4.18 Tg carbon were predicted from the 1,260 km2 of desert grasslands in the study area.     

Research on the Patterns and Evolution of Ecosystem Service Consumption in Nepal

The study of ecosystem service consumption (ESC) in Nepal not only helps us to understand the intensity and management level of Nepal’s ecosystem utilization, but also provides scientific data support for the establishment and planning of China’s aid to Nepal. Based on the data of food consumption and forestry production and trade, this study dynamically investigated the consumption levels, structure and ecological consumption patterns of farmland, forest, grassland, water and the integrated ecosystem in Nepal and their main driving forces, using the physical quantity accounting method. The results showed that the total consumption of farmland, forest, grassland, water and the integrated ecosystem in Nepal from 1961 to 2018 exhibited a fluctuating increase, with average value of 7.26 Tg yr^-1, 6.38 Tg yr^-1, 1.10 Tg yr^-1, 0.02 Tg yr^-1 and 14.76 Tg yr^-1, respectively. The annual per capita forest consumption roughly decreased, while the annual per capita consumption of farmland, grassland, waters and integrated ecosystems mostly increased with their growth rates accelerating. The corresponding ecological consumption patterns were the “Log-Cereal-Milk” mode during 1961-1984, the “Log-Cereal-Vegetable-Root-Milk-Sugar” mode during 1985-2007 and the “Log-Cereal-Vegetable-Root-Sugar-Fruit-Milk” mode during 2008-2018. This study indicated that the supply capacity of the ecosystem (production, import and export capacity) and socio-economic factors (population density, per capita GDP and religious beliefs) are the main driving forces that are restricting the evolution of Nepal’s ecological consumption pattern. Although Nepal’s dietary structure has improved significantly, there is still a large gap between it and the standard of a balanced diet. The supply capacities of fruits, meat, eggs, milk and aquatic products should be enhanced to meet people’s demand for a balanced diet. This study can provide data support for the establishment of China’s aid projects to improve Nepal’s livelihood.     

Spatial Analysis of the Soil Carbon Sequestration Potential of Crop-residue Return in China Based on Model Simulation

Crop-residue return is a recommended practice for soil and nutrient management and is important in soil organic carbon (SOC) sequestration and CO₂ mitigation. We applied a process-based Environmental Policy Integrated Climate (EPIC) model to simulate the spatial pattern of topsoil organic carbon changes from 2001 to 2010 under 4 crop-residue return scenarios in China. The carbon loss (28.89 Tg yr^-1) with all crop-residue removal (CR0%) was partly reduced by 22.38 Tg C yr^-1 under the status quo CR30% (30% of crop-residue return). The topsoil in cropland of China would become a net carbon sink if the crop-residue return rate was increased from 30% to 50%, or even 75%. The national SOC sequestration potential of cropland was estimated to be 25.53 Tg C yr^-1 in CR50% and 52.85 Tg C yr^-1 in CR75%, but with high spatial variability across regions. The highest rate of SOC sequestration potential in density occurred in Northwest and North China while the lowest was in East China. Croplands in North China tended to have stronger regional SOC sequestration potential in storage. During the decade, the reduced CO₂ emissions from enhanced topsoil carbon in CR50% and CR75% were equivalent to 1.4% and 2.9% of the total CO₂ emissions from fossil fuels and cement production in China, respectively. In conclusion, we recommend encouraging farmers to return crop-residue instead of burning in order to improve soil properties and alleviate atmospheric CO₂ rises, especially in North China.     

1980s-2010s中国陆地生态系统土壤碳储量的变化

土壤作为陆地生态系统有机碳库的主体,在全球碳循环中起着重要作用。然而,当前区域土壤有机碳储量的变化情况及其碳源/汇功能仍然不清楚。利用中国1980s （1979-1985年）第二次土壤普查数据,同时收集整理2010s（2004-2014年）已发表的有关中国土壤有机碳储量（0~20 cm和0~100 cm）的文献数据,综合评估了1980s-2010s中国土壤有机碳储量的变化情况,并分析森林、草地、农田和湿地等生态系统土壤碳源/汇功能;同时结合现有的中国植被碳储量变化研究,进一步探讨了1980s-2010s中国陆地生态系统的碳源/汇效应。研究发现：① 1980s-2010s中国土壤（0~100 cm）有机碳储量净增长3.04±1.65 Pg C,增长速率为0.101±0.055 Pg C yr^-1,其中表层土壤（0~20 cm）的碳汇效应明显;② 森林土壤是固碳主体,净增长2.52±0.77 Pg C,而草地和农田土壤增长有限,分别为0.40±0.78和0.07±0.31 Pg C;③ 湿地有机碳储量净减少0.76±0.29 Pg C;④ 中国陆地生态系统的碳汇效应较强,总碳汇量相当于同期（1980-2009年）化石燃料和水泥生产排放CO₂总量的14.85%~27.79%。随着中国森林和草地生态系统植被和土壤的进一步保护、恢复和重建,中国陆地生态系统具有较大的碳汇潜力,在未来全球碳平衡中将发挥更大的作用。     

Soil Priming Effect Mediated by Nitrogen Fertilization Gradients in a Semi-arid Grassland,China

The priming effect is well acknowledged in soil systems but the effect of nitrogen (N) fertilization remains elusive. To explore how N modifies the priming effect in soil organic matter (SOM), one in situ experiment with ¹³C labeled glucose addition (0.4 mg C g^-1 soil, 3.4 atom % ¹³C) was conducted on soil plots fertilized with three gradients of urea (0, 4 and 16 g N m^-2 yr^-1). After glucose addition, the soil CO₂ concentration and phospholipid fatty acid (PLFA) were measured on day 3, 7, 21 and 35. The study found that N fertilization decreased soil CO₂, PLFA and the fungi to bacteria ratio. Glucose triggered the strongest positive priming in soil at 0 g N m^-2 yr^-2, meanwhile N fertilization decreased SOM-derived CO₂. Soil at 4 g N m^-2 yr^-2 released the largest amount of glucose-derived carbon (C), likely due to favorable nutrient stoichiometry between C and N. Stable microbial community biomass and composition during early sampling suggests “apparent priming” in this grassland. This study concludes that N fertilization inhibited soil priming in semi-arid grassland, and shifted microbial utilization of C substrate from SOM to added labile C. Diverse microbial functions might be playing a crucial role in soil priming and requires attention in future N fertilization studies.     

1980s-2010s内蒙古草地表层土壤有机碳储量及其变化

以我国内蒙古草原为研究区域,结合1982-1988年第二次土壤普查资料以及2011-2012年实地考察数据,构建了基于遥感数据和土壤数据的区域表层土壤有机碳储量估算方法,对研究区1980s和2010s表层土壤有机碳储量、空间分布特征及其变化进行研究,结果表明：(1) 1980s、2010s内蒙古草地表层土壤 (0~20 cm) 有机碳储量分别为2.05 Pg C、2.17 Pg C,土壤有机碳密度约为3.48 kg C·m^-2、3.69 kg C·m^-2,其空间分布上呈现从草甸草原、典型草原、荒漠草原逐渐降低的特征;(2) 1982-2012年间,内蒙古草地表层土壤有机碳储量略有增加,但增加幅度较小,其中草甸草原和典型草原表层土壤有机碳储量增加,荒漠草原则表现为减少。研究结果将为研究区因地制宜地采取固碳措施,实现草地可持续管理提供科学参考。     

Simulation of terrestrial carbon cycle balance model in Tibet

Based on climate material, the simplified terrestrial carbon cycle balance (TCCB) model was established, which is semi-mechanism and semi-statistics. Through TCCB model, our estimate indicates that the southeastern part of the Tibetan Plateau has much higher carbon content, and we have calculated the litter carbon pool, NPP, carbon fluxes and described their spatial characteristics in this region. Based on the TCCB model simulation, NPP in Tibet is 1.73×108 tC/a, soil organic input rate is 0.66×108 tC/a, litter mineralization rate is 1.07×108 tC/a, vegetation litterfall rate is 1.73×108 tC/a, the litter carbon pool is 7.26×108 tC, and soil decomposition rate is 309.54×108 tC/a. The carbon budget was also analyzed based on the estimates of carbon pool and fluxes. The spatial distributions of carbon pools and carbon fluxes in different compartments of terrestrial ecosystem were depicted with map respectively in Tibet. The distribution of NPP, vegetation litterfall rate, litter, litter mineralization rate, soil organic input rate and the soil decomposition rate were abstracted with temperature, precipitation, fractional vegetation and land feature.     

西鄂尔多斯荒漠灌丛生态系统碳密度

为了估算西鄂尔多斯天然荒漠灌丛生态系统碳密度并揭示碳储量在不同层片（灌丛植株、草本层、枯落物层及土壤层）、器官间的分配规律,以该区5种优势荒漠灌丛（沙冬青Ammopiptanthus mogolicus、霸王Zygophyllum xanthoxylum、四合木Tetraena mongolica、半日花Helianthemum songaricum和红砂Reaumuria songarica）群落为对象,测定了5种灌丛生态系统碳密度。结果表明：西鄂尔多斯5种荒漠灌丛生态系统碳密度40.28~55.51 t·hm^-2,其中土壤层碳密度占绝对优势（97.15%~98.51%）,为39.40~54.48 t·hm^-2,且在0~50 cm随着土层深度的增加而增加;植被层生物量密度垂直分布格局表现为灌丛层 > 草本层 > 枯落物层,灌丛层碳密度空间上表现为距离黄河越近碳密度越大（沙冬青和半日花灌丛生物量碳分别占各自植被层生物量密度的92.16%和62.42%）,而草本层碳密度表现出与之相反的规律;草本层根系生物量碳也是灌丛生态系统碳重要组成部分,碳密度8.41~38.29 g·m^-2,占植被层碳密度的5.36%~45.18%;除红砂灌丛外,灌丛草本层地下部分碳密度显著高于地上部分（P<0.05）;灌丛个体碳储量分布表现为枝条 > 根系 > 叶片,粗枝和粗根是单株灌丛碳储量的主要贡献者,且在灌丛种间差异显著（P<0.05）,根系生物量碳占植被层碳储量的20.00%~33.53%,叶片生物量碳占总植被层碳储量的2.02%~24.54%。     

中国森林生态系统的植物碳贮量及其影响因子分析

利用中国第四次(1989~1993年)森林资源清查资料,指出中国森林植被的总碳贮量和碳密度分别为 3 778.1Tg(1Tg = 10¹² g)和41.321 Mg/hm²(1 Mg= 10⁶ g),其分布很不均衡,东北和西南各省的碳贮量和碳密度较大。中国森林碳贮量约占世界的1.1%,森林碳密度低于世界平均水平,但中国森林以中、幼龄林为主,占80%以上,表明中国森林植被具有巨大的固碳潜力,对全球碳循环具有重要作用。同时,采用多元线性回归模型、标准系数法定量分析了气候因子对森林植被碳贮量的影响程度,指出气温对森林植被碳贮量的贡献大于降水。     

中国喀斯特关键带岩石风化碳汇评估及其生态服务功能

喀斯特地区的岩石风化固碳被认为是全球遗漏碳汇之一,中国喀斯特地区的分布面积达344万km²,目前对其岩溶碳汇缺乏精确、系统的评估,对碳汇产生的机制仍存在争议。本文通过对喀斯特地区碳汇研究的回顾,详细介绍了适用于喀斯特地区固碳速率的估算方法,并对喀斯特地区的岩石风化碳汇进行再评估,然后将地球关键带科学概念引入喀斯特生态系统,阐述喀斯特关键带碳汇研究对生态系统服务和功能的意义。研究结果表明,中国喀斯特地区每年因岩溶作用产生的碳汇为4.74 Tg C yr^-1,未来中国需要加强岩石—土壤—水体—生物—大气复杂交互系统的基础数据收集,以明确各界面碳通量,对喀斯特关键带碳汇进行多尺度、多方法、全方位联合评估,在改善喀斯特生态系统功能、科学管理区域和国家碳收支及全球变化研究等方面为政府和学者提供参考。     

干旱对河西走廊植被净初级生产力的影响

干旱对生态系统碳循环具有重要影响,随着气候变暖,全球干旱事件频率不断上升,研究干旱对植被净初级生产力的影响具有重要意义。提高植被净初级生产力（NPP）的时间分辨率是认识干旱对其影响机制的重要途径。基于5天NDVI遥感数据,以河西走廊为研究区,利用CASA模型估算2010—2015年5天步长尺度的NPP,将5天降水为零定义为干旱基本单元,利用标准分数来探究干旱对植被NPP的影响。结果表明：基于高时间分辨率遥感数据能有效探测干旱对NPP的影响机制,研究期间河西走廊年干旱频次6—44次,干旱对该地NPP有负效应,对5天均值的影响为-0.23 g·m^-2,影响幅度为-1.93%,整体影响较小。干旱对林地NPP影响最大,下降3.70%,草地次之,荒漠最小。随着干旱持续时间的增加,NPP变化趋势呈现为先降低,然后降低趋势增加,最后趋于稳定的过程。干旱对夏季的NPP影响最大,冬季最小,秋季干旱对林地影响最大。     

Detecting the storage and change on topsoil organic carbon in grasslands of Inner Mongolia from 1980s to 2010s

Soil carbon sequestration and potential has been a focal issue in global carbon research. Under the background of global change, the estimation of the size as well as its change of soil organic carbon（SOC） storage is of great importance. Based on soil data from the second national soil survey and field survey during 2011–2012, by using the regression method between sampling soil data and remote sensing data, this paper aimed to investigate spatial distribution and changes of topsoil（0–20 cm） organic carbon storage in grasslands of Inner Mongolia between the 1980 s and 2010 s. The results showed that：（1） the SOC storage in grasslands of Inner Mongolia between the 1980 s and 2010 s was estimated to be 2.05 and 2.17 Pg C, with an average density of 3.48 and 3.69 kg C·m–2, respectively. The SOC storage was mainly distributed in the typical steppe and meadow steppe, which accounted for over 98% of the total SOC storage. The spatial distribution showed a decreased trend from the meadow steppe, typical steppe to the desert steppe, corresponding to the temperature and precipitation gradient.（2） SOC changes during 1982–2012 were estimated to be 0.12 Pg C, at 7.00 g C·m–2·yr–1, which didn＇t show a significant change, indicating that SOC storage in grasslands of Inner Mongolia remained relatively stable over this period. However, topsoil organic carbon showed different trends of carbon source/sink during the past three decades. Meadow steppe and typical steppe had sequestered 0.15 and 0.03 Pg C, respectively, served as a carbon sink; while desert steppe lost 0.06 Pg C, served as a carbon source. It appears that SOC storage in grassland ecosystem may respond differently to climate change, related to vegetation type, regional climate type and grazing intensity. These results might give advice to decision makers on adopting suitable countermeasures for sustainable grassland utilization and protection.     

西藏高原地区陆地生态系统碳素循环平衡模拟

1IntroductionWith greatest concentration, carbon dioxide (CO2) is most sensitive to climate change among all the greenhouse gases. Since the Industrial Revolution, CO2 content emitted into the atmosphere has increased rapidly, due to the use of fossil fuels. According to estimations, CO2 concentration in the atmosphere has increased from 280 ppm in the early period of the Industrial Revolution (Melillo etal., 1995) to 368 ppm at present (Keeling and Whorf, 2000). It is universally accept…     

Remote Sensing Indices to Measure the Seasonal Dynamics of Photosynthesis in a Southern China Subtropical Evergreen Forest

The accurate measurement of the dynamics of photosynthesis in China’s subtropical evergreen forest ecosystems is an important contribution to carbon (C) sink estimates in global terrestrial ecosystems and their responses to climate change. Eddy covariance has historically been the only direct method to assess C flux of whole ecosystems with high temporal resolution, but it suffers from limited spatial resolution. During the last decade, continuous global monitoring of plant primary productivity from spectroradiometer sensors on flux towers and satellites has extended the temporal and spatial coverage of C flux observations. In this study, we evaluated the performance of two physiological remote sensing indices, fluorescence reflectance index (FRI) and photochemical reflectance index (PRI), to measure the seasonal variations of photosynthesis in a subtropical evergreen forest ecosystem using continuous canopy spectral and flux measurements in the Dinghushan Nature Reserve in southern China. The more commonly used NDVI has been shown to be saturated and mainly affected by illumination (R²=0.88, p < 0.001), but FRI and PRI could better track the seasonal dynamics of plant photosynthetic functioning by comparison and are less affected by illumination (R²=0.13 and R²=0.51, respectively) at the seasonal scale. FRI correlated better with daily gross primary production (GPP) in the morning hours than in the afternoon hours, in contrast to PRI which correlated better with light-use efficiency (LUE) in the afternoon hours. Both FRI and PRI could show greater correlations with GPP and LUE respectively in the senescence season than in the recovery-growth season. When incident PAR was taken into account, the relationship between GPP and FRI was improved and the correlation coefficient increased from 0.22 to 0.69 (p < 0.001). The strength of the correlation increased significantly in the senescence season (R ²=0.79, p < 0.001). Our results demonstrate the application of FRI and PRI as physiological indices for the accurate measurement of the seasonal dynamics of plant community photosynthesis in a subtropical evergreen forest, and suggest these indices may be applied to carbon cycle models to improve the estimation of regional carbon budgets.     

陕北风沙过渡带植被净初级生产力变化特征及原因

基于光能利用率原理,采用CASA（Carnegie-Ames-Stanford-Approach）模型,实现了2000—2014年陕北风沙过渡带地区植被净初级生产力（NPP）估算,对该地区NPP时空变化以及驱动机制进行了定量化分析。结果表明：（1） 2000—2014年陕北风沙过渡带NPP为6.71×10¹²gC·a^-1,单位面积值为202.57gC·m^-2·a^-1,受地貌和气候特征影响,植被空间异质性强,黄土区植被明显优于风沙区;（2）近十几年来该区域植被得到明显改善,NPP总体增速为10.98gC·m^-2·a^-1（R=0.85,P<0.01）,植被增速存在空间差异,东南部的黄土区植被增长较快,西北风沙区植被增长较慢;（3）2000—2014年,降水、气温和辐射与NPP的相关系数分别为0.54（P<0.05）、-0.25、0.35,三者对植被增长的贡献量分别为3.95、0.71、2.75gC·m^-2·a^-1。这说明降水是气候因素中影响陕北风沙过渡带植被变化的主要因素;（4）近15年的植被恢复过程中,气候和人类活动都是重要的驱动因素,气候因子对植被增长的贡献更大,相对作用达到67.49%。区域内部,不同地区植被的主要驱动源存在差异,东部地区植被受气候因子主导,西部地区植被受人类活动主导。     

基于InVEST模型的宁夏盐池县禁牧草地生态补偿标准空间识别

以农牧交错带宁夏盐池县草地为研究对象，综合集成草地植被与土壤调查、草地信息提取、遥感反演、空间分析等技术方法，基于本地化的InVEST模型，选取碳储存、土壤保持和水源涵养3项关键生态系统服务类型，对禁牧前后（2000年，2015年）草地生态系统服务物质量进行精准评估，在此基础上，采用市场价值法对其价值化，测算禁牧前后草地生态系统服务价值变化量，以此确定生态补偿标准，并借助冷热点、三维趋势分析对生态补偿标准进行不同尺度的空间识别。结果显示：① 禁牧以来，盐池县草地生态系统服务显著增强，其中碳储量增加45.66×10⁴ t、强度增加0.42 t/hm²，水源涵养量增加9 351×10⁴ t、强度增加211.14 t/hm²，土壤保持量增加2 091×10⁴ t，强度增加44.93 t/hm²；② 草地生态补偿标准县域为309.21元/hm²、乡镇尺度介于7.25~1 146.36元/hm²、村级介于3.04~2 074.56元/hm²，村级尺度更能体现草地的生态贡献；③ 补偿标准的三维趋势呈现由西向东提高、南北向呈“U”型分异的特征，补偿热点区集中于盐池县东南部和东北部。