论陆面蒸发的计算

本文从蒸发E随降水的改变率E/r是剩余蒸发力E_0—E和降水r的函数,即E/r=f(E_0-E,r),而蒸发随蒸发力的改变率E/E_0是剩余水量,r—E和蒸发力E_0的函数,即E/E_0=φ(r-E,E_0)的考虑出发,利用量纲分析和微分方程理论确定了函数f和Φ的表述式,并由此得到根据蒸发力和降水计算陆面蒸发的公式。计算结果非常令人满意。     

Potential impact of land use change on land productivity dynamics with focus on land degradation in a sub-humid terrestrial ecosystem

The aim of this study was to generate a land productivity dynamics (LPD) map of a degraded catchment located in sub-humid terrestrial ecosystem via a land degradation assessment using three indicators, namely land use and land cover, land productivity, and soil organic carbon density. The study was carried out in two adjacent microcatchments located in Gediz River Basin and conducted between 2001 and 2015. For this purpose, Landsat satellite images were used to determine changing of land use and land cover and vegetation density. In addition, 319 soil samples were collected from surface and subsurface soil depths to detect soil organic carbon density of the study area in May 2015. According to the study results, in more than 23% of the catchments’ area of approx. 3896 ha, land productivity is observed to decline while about 24% shows early signs of decline level. Some of these areas used under agricultural cropping, overgrazed pasture, and artificial areas showed evidence of soil erosion problem. Only very small area of the catchment shows stable and increasing land productivity dynamics trend during the 14-year period.     

陆面过程模式的敏感性试验

本文对文献[1]中提出的陆面过程模式(简称LPM)进行了下列敏感性试验:1)植被的覆盖度,2)土壤湿润程度,3)不同植被类型(半荒漠、草原、混交林、森林和作物地五种)和4)不同气候带(半干旱、半湿润和湿润带三类)。试验结果与相应的观测和气候状况进行了比较,表明了模式对上述参数或参数组变化的敏感程度。模拟的不同植被和气候带的温湿状况和能量平衡关系是合理的。因此可以用于气候模拟的研究。     

Affluence drives the global displacement of land use

Increasing affluence is often postulated as a main driver for the human footprint on biologically productive areas, identified among the main causes of biodiversity loss, but causal relationships are obscured by international trade. Here, we trace the use of land and ocean area through international supply chains to final consumption, modeling agricultural, food, and forestry products on a high level of resolution while also including the land requirements of manufactured goods and services. In 2004, high-income countries required more biologically productive land per capita than low-income countries, but this connection could only be identified when land used to produce internationally traded products was taken into account, because higher-income countries tend to displace a larger fraction of land use. The equivalent land and ocean area footprint of nations increased by a third for each doubling of income, with all variables analyzed on a per capita basis. This increase came largely from imports, which increased proportionally to income. Export depended mostly on the capacity of countries to produce useful biomass, the biocapacity. Our analysis clearly shows that countries with a high biocapacity per capita tend to spare more land for nature. Biocapacity per capita can be increased through more intensive production or by reducing population density. The net displacement of land use from high-income to low-income countries amounted to 6% of the global land demand, even though high-income countries had more land available per capita than low-income countries. In particular, Europe and Japan placed high pressure on ecosystems in lower-income countries.     

Agency shifts in agricultural land governance and their implications for land degradation neutrality

Given current land degradation trends, Land Degradation Neutrality (LDN, SDG Target 15.3) by 2030 could be difficult to attain. Solutions to avoid, reduce, and reverse land degradation are not being implemented at sufficiently large scales, pointing to land governance as the main obstacle. In this paper, we review dynamics in agricultural land governance, and the potential this may have to enable land degradation or provide solutions towards LDN. The literature reveals agency shifts are taking place, where value chain actors are given increasing decision-making power in land governance. These agency shifts are manifested in two interrelated trends: First, through agricultural value chain coordination, such as contract farming, value chain actors increasingly influence land management decisions. Second, international large-scale land acquisitions and domestic larger-scale farms, both instances of intensified direct involvement of value chain with land management, are overtaking significant areas of land. These new arrangements are associated with agricultural expansion, and are additionally associated with unsustainable land management due to absent landowners, short-term interests, and high-intensity agriculture. However, we also find that value chain actors have both the tools and business cases to catalyze LDN solutions. We discuss how governments and other LDN brokers can motivate or push private actors to deploy private governance measures to avoid, reduce, and reverse land degradation. Successful implementation of LDN requires refocusing efforts to enable and, where necessary, constrain all actors with agency over land management, including value chain actors.     

The role of the land use, land use change and forestry sector in achieving Annex I reduction pledges

Annex I Parties may receive credits or debits from Land Use, Land Use Change and Forestry (LULUCF) activities, contributing to achieving individual emission reduction targets. In the Durban climate negotiations, Parties agreed new LULUCF accounting rules for the second commitment period of the Kyoto Protocol (CP2). By using these new rules, this paper presents key differences among Parties at the minimum (assuming no additional action) and potential (assuming additional actions) contribution of the forest-related LULUCF activities in achieving the pledges for 2020. Overall, the potential contribution of LULUCF is relatively modest (up to about 2 % of 1990 emissions) for the EU, the Annex I Parties likely joining the CP2, and for the Annex I Parties that joined the CP1 as a whole. However, for specific Parties, LULUCF can make a substantial contribution to achieving the pledges. For New Zealand, for instance, the potential contribution of future LULUCF credits may equal 33 % of its 1990 emission level. For Australia, the pledges are expressed relative to 2000 emission levels including LULUCF emissions. Given that LULUCF emissions have strongly declined between 1990 and 2000, and a further decline in foreseen by 2020 (based on Australia’s projections), the minimum contribution of LULUCF to meet the Australian pledges appears to be about 19 % and 7 % relative to its 1990 and 2000 emission level, respectively. A further 3 % potential contribution is estimated from additional actions.     

On the measurement of vertical humidity transport over land

Humidity fluctuations over land were measured by a Ly- humidiometer and dew point hygrometer; the results showed excellent agreement. From simultaneous measurements of vertical velocity, temperature, and downwind velocity, the universal shape of the spectra and cospectra for humidity transport were examined, and compared with those for heat and momentum.     

Mapping global land system archetypes

Land use is a key driver of global environmental change. Unless major shifts in consumptive behaviours occur, land-based production will have to increase drastically to meet future demands for food and other commodities. One approach to better understand the drivers and impacts of agricultural intensification is the identification of global, archetypical patterns of land systems. Current approaches focus on broad-scale representations of dominant land cover with limited consideration of land-use intensity. In this study, we derived a new global representation of land systems based on more than 30 high-resolution datasets on land-use intensity, environmental conditions and socioeconomic indicators. Using a self-organizing map algorithm, we identified and mapped twelve archetypes of land systems for the year 2005. Our analysis reveals similarities in land systems across the globe but the diverse pattern at sub-national scales implies that there are no ‘one-size-fits-all’ solutions to sustainable land management. Our results help to identify generic patterns of land pressures and environmental threats and provide means to target regionalized strategies to cope with the challenges of global change. Mapping global archetypes of land systems represents a first step towards better understanding the global patterns of human–environment interactions and the environmental and social outcomes of land system dynamics.     

A land data assimilation system using the MODIS-derived land data and its application to numerical weather prediction in East Asia

Land Data Assimilation Systems have been developed to generate the surface initial conditions such as soil moisture and temperature for better prediction of weather and climate. We have constructed Korea Land Data Assimilation System (KLDAS) based on an uncoupled land surface modeling framework that integrates high-resolution in-situ observation, satellite data, land surface information from the WRF Preprocessing System (WPS) and the MODIS land products over the East Asia. To present better surface conditions, the KLDAS is driven by atmospheric forcing data from the in-situ rainfall gauges and satellite. In this study, we 1) briefly introduce the KLDAS, 2) evaluate the meteorological states near the surface and the surface fluxes reproduced by the KLDAS against the in-situ observation, and then 3) examine the performance of the mesoscale model initialized by the KLDAS. We have generated a 5-year, 10 km, hourly atmospheric forcing dataset for use in KLDAS operating across East Asia. The KLDAS has effectively reproduced the observed patterns of soil moisture, soil temperature, and surface fluxes. Further scrutiny reveals that the numerical simulations incorporating the KLDAS outputs show better agreement in both the simulated near-surface conditions and rainfall distribution over the Korean Peninsula, compared to those without the KLDAS.     

两种陆面方案对陆雾与海雾模拟效果的对比研究

利用WRF(Weather Research and Forecasting)模式,针对1次陆雾与1次同时包含近海雾区与开阔海域雾区的海雾个例,开展了2种陆面方案——SLAB(five-layer thermal diffusion scheme)方案与Noah(Noah land surface scheme)方案——的模拟效果对比研究。研究结果表明:1)SLAB方案与Noah方案在开阔海域雾区模拟中的表现基本一致,但只有前者成功再现了陆雾与近海雾区。2)对于陆雾,与SLAB方案相比,Noah方案在白天偏高的地表温度造成偏强的地面垂直热量通量,加之偏弱的垂直水汽通量共同使得地面相对湿度偏低20％,导致模拟失败。3)对于海雾,两种方案模拟的地表温度与地面垂直水汽通量之间的差异,直接导致了地面2 m气温与水汽混合比的差异,进而影响了渤海的地面低压天气系统的强弱与水汽平流的大小,从而使得它们对渤海近海雾区的模拟表现迥异。本次个例中,应用广泛且陆面过程完善的Noah方案对陆雾模拟的表现反而不如过程简单的SLAB方案,本文对此给出了初步的解释,但仍需进一步探究其原因。     

人工绿地与自然沙地蒸散的计算与变异研究

利用中国气象局塔克拉玛干沙漠气象野外科学试验基地2014—2015年自然沙地与人工绿地加密观测试验时次数据,采用GB/T 20481-2006气象干旱等级的蒸散算法,详细计算自然沙地、人工绿地以时次为单位的蒸散值。计算过程中采用多种参数算法,增加了观测数据的利用率,提高了计算精度,并尝试通过影响因子的变量赋值研究,量化蒸散的计算增减。结果表明:（1）自然沙地与人工绿地蒸散计算值都较好地刻画出了蒸散的年内变化,自然沙地计算值量级更贴近实际观测值,这与蒸散计算方法适用性有关。（2）人工绿地蒸散计算值在植被生长季与观测值的差值较大,自然沙地与观测值的差值较小;冷季人工绿地蒸散计算值与观测值接近,自然沙地计算值与观测值的差相对较大。（3）饱和水汽压与实际水汽压之差、2 m平均气温、2 m平均风速、饱和水汽压的斜率是计算蒸散的主要影响因子,其中饱和水汽压与实际水汽压之差和2 m平均风速随着赋值递增,蒸散差值时次百分比与年累计差值呈线性增长。2 m平均气温随着赋值递增,蒸散差值时次百分比与年累计差值表现比较稳定,饱和水汽压的斜率随着赋值递增,蒸散差值时次百分比与年累计差值略有递减。因此,GB/T 20481-2006气象干旱等级的蒸散算法在塔克拉玛干沙漠的适用性较好,人工绿地比自然沙地计算精度更高。      

Scenarios of land use and land cover change in the conterminous United States: Utilizing the special report on emission scenarios at ecoregional scales

Global environmental change scenarios have typically provided projections of land use and land cover for a relatively small number of regions or using a relatively coarse resolution spatial grid, and for only a few major sectors. The coarseness of global projections, in both spatial and thematic dimensions, often limits their direct utility at scales useful for environmental management. This paper describes methods to downscale projections of land-use and land-cover change from the Intergovernmental Panel on Climate Change's Special Report on Emission Scenarios to ecological regions of the conterminous United States, using an integrated assessment model, land-use histories, and expert knowledge. Downscaled projections span a wide range of future potential conditions across sixteen land use/land cover sectors and 84 ecological regions, and are logically consistent with both historical measurements and SRES characteristics. Results appear to provide a credible solution for connecting regionalized projections of land use and land cover with existing downscaled climate scenarios, under a common set of scenario-based socioeconomic assumptions.     

Diurnal evoluion of properties of the sub-cloud layer over land

Observations of temperature, humidity and velocity structure beneath fields of cumulus clouds are analysed with the needs of cloud modelling and cloud field parameterization in mind. Sub-cloud fluxes of sensible and latent heat and their diurnal variations are determined from layer-mean profiles and from eddy-correlation measurements; the latter are especially sensitive to sampling on cloud-sized scales. The characteristic fluctuations in velocity temperature and humidity beneath clouds have time scales like the lifetime typical of small cumulus clouds; there is no evidence that such fluctuations occur only as brief pulses at cloud initiation. The magnitudes of these fluctuations exhibit well-marked diurnal patterns of change.     

Rural-urban connectivity and agricultural land management across the Global South

Research on how urbanization affects rural agriculture has typically focused on loss of farmland due to urban expansion. However, more distal pathways that could link urbanization to rural agriculture, including enhanced connectivity through rural-urban migration and market access, remain poorly understood. Here, we assess whether greater rural-urban connectivity is associated with changes in agricultural land management across the Global South. Such associations are complex, and thus difficult to measure at this scale. We therefore take a two-step approach to investigate these relationships. First, using a multivariate clustering approach, we define a series of rural-urban connectivity typologies from existing spatial data on land use, demographics, rural market access, and rural population change (as a proxy for outmigration). We examine the variation in key agricultural outcome variables (mean cereal crop yields, % of attainable yields met, and cropping frequency) within the typologies, which shows that greater overall connectivity (market access and population change) is associated with higher cereal yields, yield attainment, and cropping frequency. Second, building on these clustering results, we develop hypotheses about the relationship between rural-urban connectivity and agricultural land use intensity. We then use propensity score matching to test these hypotheses by comparing locations with similar sociodemographic and land use characteristics. When controlling for gross domestic product (GDP) per capita, agricultural land, and population density, rural locations with relatively high market access, negative population change, and greater built-up area have significantly higher mean nitrogen application rates, irrigated areas, and cereal yields across the Global South. Results vary by region, but greater rural-urban connectivity and urban extents are generally associated with higher overall agricultural inputs and yields, particularly in Asia. However, we find little support for a relationship between connectivity and either % attainable yields met or field size. Our findings stress the need to better understand the mechanisms that link urbanization processes and agricultural management at different spatiotemporal scales.