Estimating California ecosystem carbon change using process model and land cover disturbance data: 1951-2000

Land use change, natural disturbance, and climate change directly alter ecosystem productivity and carbon stock level. The estimation of ecosystem carbon dynamics depends on the quality of land cover change data and the effectiveness of the ecosystem models that represent the vegetation growth processes and disturbance effects. We used the Integrated Biosphere Simulator (IBIS) and a set of 30- to 60-m resolution fire and land cover change data to examine the carbon changes of California's forests, shrublands, and grasslands. Simulation results indicate that during 1951-2000, the net primary productivity (NPP) increased by 7%, from 72.2 to 77.1 Tg C yr⁻¹ (1 teragram = 10¹² g), mainly due to CO₂ fertilization, since the climate hardly changed during this period. Similarly, heterotrophic respiration increased by 5%, from 69.4 to 73.1 Tg C yr⁻¹, mainly due to increased forest soil carbon and temperature. Net ecosystem production (NEP) was highly variable in the 50-year period but on average equalled 3.0 Tg C yr⁻¹ (total of 149 Tg C). As with NEP, the net biome production (NBP) was also highly variable but averaged −0.55 Tg C yr⁻¹ (total of -27.3 Tg C) because NBP in the 1980s was very low (-5.34 Tg C yr⁻¹). During the study period, a total of 126 Tg carbon were removed by logging and land use change, and 50 Tg carbon were directly removed by wildland fires. For carbon pools, the estimated total living upper canopy (tree) biomass decreased from 928 to 834 Tg C, and the understory (including shrub and grass) biomass increased from 59 to 63 Tg C. Soil carbon and dead biomass carbon increased from 1136 to 1197 Tg C.Our analyses suggest that both natural and human processes have significant influence on the carbon change in California. During 1951-2000, climate interannual variability was the key driving force for the large interannual changes of ecosystem carbon source and sink at the state level, while logging and fire were the dominant driving forces for carbon balances in several specific ecoregions. From a long-term perspective, CO₂ fertilization plays a key role in maintaining higher NPP. However, our study shows that the increase in C sequestration by CO₂ fertilization is largely offset by logging/land use change and wildland fires.     

Soil organic matter dynamics in Portuguese natural and sown rainfed grasslands

Soil organic matter (SOM) is a particularly important parameter in soil management, especially in mineral soils in Mediterranean and semi-arid countries where its concentration is low. In these conditions, increasing SOM concentration has several agronomic and environmental benefits, ranging from increase in water holding capacity to soil protection and carbon sequestration. We develop a model to express the short-term trend of SOM increase in grasslands as the balance between input and mineralization. This model is calibrated using five years of soil analyses from eight locations. In each location there were either two or three plots with the different grassland systems considered: sown biodiverse permanent pastures rich in legumes (SBPPRLs), fertilized natural grasslands (FNGs), and (un-improved) natural grasslands (NGs). SBPPRL are a new system consisting in the use of plant biodiversity to increase pasture productivity and resilience. So far, they exist mostly in Portugal.We use statistical calibration to adjust an asymptotic curve to the data and obtain the model parameters. Under the assumption of equal mineralization rates across grassland systems, we find that the expected steady-state long term SOM concentration in undisturbed SBPPRL is higher than in NG and FNG. Fertilization does not significantly increase SOM input, and so the trend in SOM is equal for NG and FNG. In 10 years, there is an average increase of 0.21 percentage points per year in SBPPRL. In turn, SOM increases in FNG and NG are 0.08 percentage points per year.     

Risk-based modelling of diffuse land use impacts from rural landscapes upon salmonid fry abundance

Research has demonstrated that landscape or watershed scale processes can influence instream aquatic ecosystems, in terms of the impacts of delivery of fine sediment, solutes and organic matter. Testing such impacts upon populations of organisms (i.e. at the catchment scale) has not proven straightforward and differences have emerged in the conclusions reached. This is: (1) partly because different studies have focused upon different scales of enquiry; but also (2) because the emphasis upon upstream land cover has rarely addressed the extent to which such land covers are hydrologically connected, and hence able to deliver diffuse pollution, to the drainage network. However, there is a third issue. In order to develop suitable hydrological models, we need to conceptualise the process cascade. To do this, we need to know what matters to the organism being impacted by the hydrological system, such that we can identify which processes need to be modelled. Acquiring such knowledge is not easy, especially for organisms like fish that might occupy very different locations in the river over relatively short periods of time. However, and inevitably, hydrological modellers have started by building up piecemeal the aspects of the problem that we think matter to fish. Herein, we report two developments: (a) for the case of sediment associated diffuse pollution from agriculture, a risk-based modelling framework, SCIMAP, has been developed, which is distinct because it has an explicit focus upon hydrological connectivity; and (b) we use spatially distributed ecological data to infer the processes and the associated process parameters that matter to salmonid fry. We apply the model to spatially distributed salmon and fry data from the River Eden, Cumbria, England. The analysis shows, quite surprisingly, that arable land covers are relatively unimportant as drivers of fry abundance. What matters most is intensive pasture, a land cover that could be associated with a number of stressors on salmonid fry (e.g. pesticides, fine sediment) and which allows us to identify a series of risky field locations, where this land cover is readily connected to the river system by overland flow.     

Exploring the linkages between river water chemistry and watershed characteristics using GIS-based catchment and locality analyses

A typology of land characteristics for the Humber catchment in central/eastern England is identified in relation to land use, hydrology and demographic, topographic and geological characteristics, using GIS and statistical analyses. Empirical relationships between land characteristics and water quality were examined in relation to the spatial variability in water quality across the Humber catchment. Analyses of relationships between land characteristics and water quality were undertaken at two hierarchical scales: (1) individual catchments and (2) localities of 10 km radius draining to each sampling site. The importance of urban and agricultural sources was identified, together with a hydrological component linked to dilution of point source inputs and mobilisation of specific sediment-associated contaminants in higher-energy (higher-flow) environments. High-solubility (dissolved) chemical determinands (such as B, Cl and SO₄), which undergo conservative transport through the river network, show the strongest linkages with land characteristics at the catchment scale. Cr, Zn and Ca show stronger correlations with land characteristics at the locality rather than the catchment scale, indicating that the concentrations of these determinands are more closely linked to the availability of localised sources. This work provides a starting point for investigating how changes in land use and management of drainage basins might impact river water quality at the regional scale and fluxes to the coastal zone, by providing a mechanism for examining linkages between regional-scale land characteristics and river water quality. The next step requires development of the approach within a more rigorous statistical framework and the extension of the regional analysis within a wider national and international context. Electronic Publication     

Inconsistent seasonal variation of antibiotics between surface water and groundwater in the Jianghan Plain: Risks and linkage to land uses

Antibiotics are widely used in humans and animals, but their transformation from surface water to groundwater and the impact of land uses on them remain unclear. In this study, 14 antibiotics were systematically surveyed in a complex agricultural area in Central China. Results indicated that the selected antibiotic concentrations in surface waters were higher in winter (average: 32.7 ng/L) than in summer (average: 17.9 ng/L), while the seasonal variation in groundwaters showed an opposite trend (2.2 ng/L in dry winter vs. 8.0 ng/L in summer). Macrolides were the predominant antibiotics in this area, with a detected frequency of over 90%. A significant correlation between surface water and groundwater antibiotics was only observed in winter (R² = 0.58). This study further confirmed the impact of land uses on these contaminants, with optimal buffer radii of 2500 m in winter and 500 m in summer. Risk assessment indicated that clarithromycin posed high risks in this area. Overall, this study identified the spatiotemporal variability of antibiotics in a typical agricultural area in Central China and revealed the impact of land uses on antibiotic pollution in aquatic environments.     

Carrying capacity of an uninhabited island off the southwestern coast of Korea

An emergy evaluation was carried out to assess the carrying capacity of a small, uninhabited island (Woosedo) off the southwestern coast of Korea. The sea area within 1 km from the high tide level of the island was included in the evaluation. The total environmental emergy input to Woosedo was 1.66E19 sej/yr, with the most emergy contribution from the tidal energy. The land and marine ecosystems of Woosedo contributed 4.97 million Em$ (7600 Em$/ha/yr) to the Korean economy annually. If Woosedo was developed to the national average at the emergy investment ratio of 2.86, its carrying capacity was estimated at 1034 people at the current living standard of Korea. With this population, the island system would not be sustainable with a very low emergy sustainability index of 0.36. At the same living standard used in the developed scenario, the carrying capacity of the island would be 370 people for a sustainable development scenario and 270 people if the renewable emergy were the only source to support the population. The emergy contribution of the marine ecosystem of the island was the major source of support in determining the level of carrying capacity of the island.     

Ranking individual habitat patches as connectivity providers: Integrating network analysis and patch removal experiments

Here we propose an integrated framework for modeling connectivity that can help ecologists, conservation planners and managers to identify patches that, more than others, contribute to uphold species dispersal and other ecological flows in a landscape context. We elaborate, extend and partly integrate recent network-based approaches for modeling and supporting the management of fragmented landscapes. In doing so, experimental patch removal techniques and network analytical approaches are merged into one integrated modeling framework for assessing the role of individual patches as connectivity providers. In particular, we focus the analyses on the habitat availability metrics PC and IIC and on the network metric Betweenness Centrality. The combination and extension of these metrics jointly assess both the immediate connectivity impacts of the loss of a particular patch and the resulting increased vulnerability of the network to subsequent disruptions. In using the framework to analyze the connectivity of two real landscapes in Madagascar and Catalonia (NE Spain), we suggest a procedure that can be used to rank individual habitat patches and show that the combined metrics reveal relevant and non-redundant information valuable to assert and quantify distinctive connectivity aspects of any given patch in the landscape. Hence, we argue that the proposed framework could facilitate more ecologically informed decision-making in managing fragmented landscapes. Finally, we discuss and highlight some of the advantages, limitations and key differences between the considered metrics.     

农田沙漠化过程对土壤性质和作物产量的影响

地处北方半干旱农牧交错带东端的科尔沁沙地,是我国现代沙漠化最严重的地区之一。选择科尔沁沙地不同沙漠化阶段（非沙漠化、轻度、中度、重度和严重沙漠化）农田,研究了沙漠化发展过程对土壤有机碳、全氮、颗粒组成、土壤温度、土壤持水能力以及作物生物量的影响。结果表明,随着农田的风蚀,土壤发生粗化和有机质含量下降,土壤环境明显恶化,导致生物产量大幅度下降。从非沙漠化农田分别到轻度、中度、重度和严重沙漠化农田,100 cm深土壤有机碳含量下降34.4%、52.8%、81.6%和90.9%,全氮含量下降42.4%、58.5%、82.7%和92.6%。从非沙漠化农田到严重沙漠化农田,2～0.1 mm的土壤颗粒含量从64.4%增加到96.1%,0.1～0.05 mm的颗粒含量从28.8%减少到2.7%,小于0.05 mm的颗粒含量从5.9%减少到0.7%。严重沙漠化农田土壤温度比非沙漠化农田高3.0℃,土壤饱和持水量和田间持水量分别比非沙漠化农田低45%和53%,单株地上部生物量比非沙漠化农田低31%。非沙漠化、轻度、中度和重度沙漠化农田单位面积玉米产量分别比严重沙漠化农田高3.4、3.5、2.5和1.5倍。在科尔沁沙地,加强农田防护林建设,实施保护性耕作和增施有机肥是防止农田沙漠化和提高作物产量的根本措施。     

中国土地资源研究与学术交流新进展

中国自然资源学会土地资源研究专业委员会成立于1986年6月,石玉林院士担任土地资源研究专业委员会首届主任,肖笃宁研究员担任第二届主任,倪绍祥教授担任第三届主任,刘彦随研究员担任第四届主任至今。在创始人石玉林院士的带领和指导下,在各届专业委员会的精诚团结与共同努力下,中国土地资源研究及其学术交流活动卓有成效,对推进我国土地资源科学研究、学科发展、规划管理和决策实践,发挥了重要的作用。正值中国自然资源学会30周年庆典之际,论文侧重梳理近10多年来,在土地资源研究专业委员会的组织与协调下,中国土地资源研究的主要特点及组织开展学术交流的进展情况,浅谈推进土地资源研究与学术交流的认识和主要体会,简要分析土地资源学科发展前景和亟需深入研究的前沿领域。