基于水足迹的山东省农业水土资源匹配特征及短缺压力分析

高强度农业开发引起的农业水土资源生态问题日益增多,探究粮食及蔬菜（粮蔬）生产中水土资源空间配置及短缺压力对农业资源的可持续利用具有重要意义。从水足迹视角出发,分析了山东省3种主要粮食作物（冬小麦、玉米及大豆）和两种不同种植模式蔬菜（设施蔬菜和露地蔬菜）的生产水足迹空间特征;同时将资源数量及资源质量的概念纳入研究框架,分析了农业水土资源数量及质量匹配格局差异,并进一步探究了农业水土资源短缺压力及其影响因素。研究结果表明：（1）2019年,山东省粮食和蔬菜的生产总水足迹为811亿m³,其中粮食生产总水足迹占比78.50%,蔬菜生产总水足迹占比21.50%;粮蔬生产水足迹受地势影响明显,鲁西北及鲁西南平原地区的粮蔬生产水足迹占比较大。（2）考虑资源数量的水土资源匹配系数均值为0.622×10⁴ m³/hm²,考虑资源质量的匹配系数均值为0.416×10⁴ m³/hm²;水土资源数量及质量匹配系数在空间上呈现出一致性,表明山东省农业生产水土资源空间配置水平高的地区同时面临着较大的农业面源污染压力。（3）整体上,土地资源短缺压力略高于水资源短缺压力;基于生产视角的水土资源短缺压力受生产环境因素制约显著,受经济发展因素的影响具有差异性,社会因素对水土资源短缺压力无显著影响。研究可为农业资源可持续管理提供数据基础,为全面理解粮蔬生产所产生的水土资源短缺提供案例参考。     

Scarcity-weighted global land and metal footprints

Resource scarcity poses an increasing threat to the supply security of modern economies. Some grand challenges ahead are the limits to agricultural expansion and the geologic scarcity of metals. To better understand the drivers behind land and metal depletion, footprint-type indicators are gaining importance. Such indicators, however, fail to differentiate between vastly different degrees of resource availability across regions. Using crop suitability areas and metal reserve base data, we calculate scarcity-weighted land and metal footprints for the major economies with the EXIOBASE global multi-regional input-output model. Scarcity-weighting causes a significant reordering of the global rankings of countries for both land and metal footprints. Land scarcity focuses mostly on cereals (∼54% from the total agricultural land used) and oil crops (∼15%), the former being notably affected by water scarcity issues in Asia and the Middle East. Metal scarcity focuses on copper ores (∼69%) and iron (∼11%), the former being a globally scarce metal impacting multiple economies. The large impact of scarcity-weighting suggests that, while non-weighted resource footprints are a valid proxy of resource use, these are not always aligned with further implications of resource depletion and supply security. In this sense, scarcity-weighting can offer an initial overview of those countries where analyses at finer scales may be more valuable. Our results also show that international trade is a major driver of land and metal depletion in some developing regions. This highlights the intersection of environmental justice and globalization, as the burden of resource depletion often falls into poorer regions which critically rely on exports.     

The economic determinants of land degradation in developing countries

The following paper investigates the economic determinants of land degradation in developing countries. The main trends examined are rural households'' decisions to degrade as opposed to conserve land resources, and the expansion of frontier agricultural activity that contributes to forest and marginal land conversion. These two phenomena appear often to be linked. In many developing areas, a poor rural household''s decision whether to undertake long-term investment in improving existing agricultural land must be weighed against the decision to abandon this land and migrate to environmentally fragile areas. Economic factors play a critical role in determining these relationships. Poverty, imperfect capital markets and insecure land tenure may reinforce the tendency towards short-term time horizons in production decisions, and may bias land use decisions against long-term land management strategies. In periods of commodity booms and land speculation, wealthier households generally take advantage of their superior political and market power to ensure initial access to better quality resources, in order to capture a larger share of the resource rents. Poorer households are confined either to marginal environmental areas where resource rents are limited, or only have access to resources once they are degraded and rents dissipated.<br>Overall trends in land degradation and deforestation are examined, followed by an overview of rural households'' resource management decisions with respect to land management, frontier agricultural expansion, and migration from existing agricultural land to frontiers. Finally, the discussion focuses on the scope for policy improvements to reduce economic constraints to effective land management. <br>     

Previous Land Use Alters the Effect of Climate Change and Facilitation on Expanding Woodlands of Spanish Juniper

In Mediterranean–continental regions, changes in land use are leading to the expansion of valuable habitats like endemic Juniperus thurifera woodlands, but the impact of reduced rainfall, due to climate change, on this expansion remains uncertain. We assessed the early performance of J. thurifera in different global change scenarios with and without facilitation. Saplings were transplanted in three ecosystems types with different previous land use (woodlands, former agricultural fields, and former livestock pastures), microhabitats (open vs. understory of adult trees) and were subjected to two watering regimens. We characterized the abiotic environment and measured survival, growth and two ecophysiological parameters. Former livestock pastures were the least favorable ecosystem, where the nursing effect was greatest. Former agricultural fields had the highest survival, but were more sensitive than woodlands to water scarcity. Reduced rainfall decreased photochemical efficiency, particularly in the least favorable scenarios, but did not affect survival. Water use efficiency enhanced growth under the canopy, but not in the open, whereas photochemical efficiency enhanced growth and survival more in the open. Facilitation was critical for effective recruitment in the harshest scenarios: former livestock pastures and reduced rainfall. Comparison with previous studies suggests that establishment depends on infrequent wet episodes. In Mediterranean ecosystems, changes in land use and climate change are leading to woodland expansion due to the modulating effect of facilitation of the oncoming adverse drier conditions. Nevertheless, the positive effect of facilitation and the negative impact of aridity on tree recruitment are strongly influenced by previous land-use history.     

People,money, and protected areas: the collection of the caterpillar mushroom <Emphasis Type="Italic">Ophiocordyceps sinensis</Emphasis> in the <Emphasis Type="Italic">Baima Xueshan</Emphasis> Nature Reserve,Southwest China

The caterpillar mushroom Ophiocordyceps sinensis (syn. Cordyceps sinensis) is among the most valuable mushrooms in the world, and plays a major role for the local economies in its distribution area on the Tibetan Plateau and adjacent regions. Large proportions of its habitat fall into protected areas, and best practice of sustainable harvest is under discussion, considering both, O. sinensis as a valuable income source for rural poor and protection of its populations and habitat. This study aims for a detailed analysis of O. sinensis collection in a nature reserve in Southwest China. We found that harvesting is unevenly distributed among households and villages, with households who have access to the resource but lack adequate alternatives for income generation such as rewarding wage labor, fertile agricultural fields or harvest of other high value products being most involved. Although collection is de jure forbidden, authorities of the nature reserve apply adaptive management strategies for sustainable resource use. This includes the allocation of collection areas to communities based on their traditional land use strategies and the control of harvesters from outside, triggering self-policing of the resource by the local people. The strategies applied provide a promising model also for other protected areas where the caterpillar mushroom is collected.     

江西县域土地利用变化碳排放时空演变及其影响因素

查明县域尺度下土地利用变化碳排放,对于推进县域低碳发展和土地资源的可持续利用与管理具有重要意义。以江西省为例,基于2000-2020年江西省土地利用数据、社会经济数据等,利用空间自相关模型和对数平均迪氏指数分解法(LMDI) 法,对其县域土地利用碳排放时空演变及影响因素进行分析。结果表明:①2000-2020年间,区县土地利用碳排放均呈上升趋势,碳排放量增速和平均碳排放强度均有下降,但部分区县碳排放增速在2015年后出现提高的变化特征。建设用地是碳排放量增长的首要碳源,林地则具有重要的碳汇作用。②空间上,土地利用变化碳排放呈现出明显的空间差异,表现为北高南低的分布特征和较为稳定的聚类模式,即轻度和重度及以上排放区空间分布上较为集中。经济发达区县成为碳排放量增长"核心",欠发达区县则是碳排放量增长"外围",且这种"核心-外围"格局在不断强化。③总体上,抑制碳排放量增长的主要因素为碳排放强度及土地利用效率;驱动因素则有经济发展水平和建设用地规模。但部分区县碳排放强度可能表现为"前期驱动后期抑制"作用,且抑制作用小于驱动作用,故这类区县土地利用碳排放量仍显著增长。因此,江西省各区县应积极调整产业结构和继续降低碳排放强度及通过优化土地资源配置,提高土地利用效率,如用适度集约模式提高建设用地利用效率以免盲目性扩张浪费。另外,欠发达地区和发达地区需加强在资金、技术等领域的交流与合作,不同区县还应因地制宜,各自明确发展目标,走具有各自县域特色的低碳高质量发展道路。     

Area-based scenario development in land-use change modeling: A system dynamics-assisted approach for mixed agricultural-residential landscapes

This study aimed to enhance land use and land cover (LULC) change models by addressing their main limitations, which include the lack of accountability and temporal stability of driving forces. Additionally, the study aimed to create area-based scenarios to forecast future LULCs, rather than solely relying on distribution-based scenarios. To accomplish this goal, the study developed a coupled System Dynamics (SD) and Cellular Automata (CA) modeling system to simulate possible LULC changes in the Gavkhooni Basin, central Iran. The study utilized LULC maps from Landsat images in 2001, 2011, and 2021 to analyze spatio-temporal land use changes in the region. Agricultural and residential transition suitability layers were produced using a spatial Multi-Criteria Evaluation procedure and applied to inform the CA model in the proper allocation of LULC changes. Three interconnected water supply, agricultural, and residential area projection subsystems were developed using system dynamics method to determine land requirements for LULC conversions from 2020 to 2041, taking into account factors such as water availability, land suitability, agricultural labor force, and economic development. Ten scenarios were developed based on changes in the key variables affecting the limiting factors, such as climatic conditions and water management policies, to project agricultural and residential areas in the future. The CA's spatial allocation informed by transition suitability layers was found to be satisfactory with a Kappa-location value of 0.85. The subsystems were competent in projecting water supply with Mean Absolute Error (MAE) values of 6.57% and the dynamics of agricultural and residential areas with MAE values of 2.94%, whereas those of the Markovian Chain model were found to be 23.02% and 7.5% for agricultural and residential areas, respectively. The study found that available agricultural areas varied significantly between 86.53 and 1480 sq.km under different climatic conditions, irrigation efficiency, and agricultural water assignment coefficients between 2024 and 2033. Residential area demand was found to be increasing with different rates under the scenarios between 47.40 and 73.01 sq.km. The SD-CA coupled framework presented in this research can be viewed as a decision support system to develop compensatory strategies for better management and planning of agricultural and residential lands.     

Agricultural intensification in Brazil and its effects on land‐use patterns: an analysis of the 1975–2006 period

Does agricultural intensification reduce the area used for agricultural production in Brazil? Census and other data for time periods 1975–1996 and 1996–2006 were processed and analyzed using Geographic Information System and statistical tools to investigate whether and if so, how, changes in yield and stocking rate coincide with changes in cropland and pasture area. Complementary medium‐resolution data on total farmland area changes were used in a spatially explicit assessment of the land‐use transitions that occurred in Brazil during 1960–2006. The analyses show that in agriculturally consolidated areas (mainly southern and southeastern Brazil), land‐use intensification (both on cropland and pastures) coincided with either contraction of both cropland and pasture areas, or cropland expansion at the expense of pastures, both cases resulting in farmland stability or contraction. In contrast, in agricultural frontier areas (i.e., the deforestation zones in central and northern Brazil), land‐use intensification coincided with expansion of agricultural lands. These observations provide support for the thesis that (i) technological improvements create incentives for expansion in agricultural frontier areas; and (ii) farmers are likely to reduce their managed acreage only if land becomes a scarce resource. The spatially explicit examination of land‐use transitions since 1960 reveals an expansion and gradual movement of the agricultural frontier toward the interior (center‐western Cerrado) of Brazil. It also indicates a possible initiation of a reversed trend in line with the forest transition theory, i.e., agricultural contraction and recurring forests in marginally suitable areas in southeastern Brazil, mainly within the Atlantic Forest biome. The significant reduction in deforestation that has taken place in recent years, despite rising food commodity prices, indicates that policies put in place to curb conversion of native vegetation to agriculture land might be effective. This can improve the prospects for protecting native vegetation by investing in agricultural intensification.     

基于投入产出的中国省际农业水-土-碳足迹流动分析

水-土-碳多要素耦合研究是近年来资源环境领域的热点之一。开展农业水-土-碳足迹流动分析有助于揭示农业生产和贸易带来的跨区域环境影响,对不同区域资源可持续管理和协同减排具有重要意义。以中国30个省级行政区为研究对象,基于投入产出方法科学识别不同省区农业水、土、碳足迹的空间格局、流动特征及关联状况。主要结论如下：（1）省域尺度农业水、土、碳足迹具有较大的空间差异,这归因于自然条件、社会经济、产业结构、耕作方式及种植结构等的区域差异;（2）农业水、土、碳足迹流动主要从西部和北部流向东部和东南部地区,这与农产品市场供需关系密切相关,表明东部和东南部地区农产品消费导致了西部和北部地区资源的虚拟占用和隐含碳排放;（3）农业水、土、碳足迹及其强度之间存在一定程度的关联关系,经济发展状况、地区产业结构、自然条件状况等因素均会影响某一要素或几种要素的消耗强度,进而影响其关联作用;农业水、土、碳足迹流动表现出明显的关联性特征,空间关联网络存在不均衡性,关联渠道有待丰富;（4）建议未来加强农业技术革新,提高机械化、智能化生产水平;通过土地规模化经营实现水土资源的节约集约利用;开展基于水-土-碳跨区域影响的横向农业生态补偿,实现中国省际协同减排和资源优化。     

Synergistic effects of climate and land-use change on representation of African bats in priority conservation areas

Bats are considered important bioindicators and deliver key ecosystem services to humans. However, it is not clear how the individual and combined effects of climate change and land-use change will affect their conservation in the future. We used a spatial conservation prioritization framework to determine future shifts in the priority areas for the conservation of 169 bat species under projected climate and land-use change scenarios across Africa. Specifically, we modelled species distribution models under four different climate change scenarios at the 2050 horizon. We used land-use change scenarios within the spatial conservation prioritization framework to assess habitat quality in areas where bats may shift their distributions. Overall, bats’ representation within already existing protected areas in Africa was low (∼5% of their suitable habitat in protected areas which cover ∼7% of Africa). Accounting for future land-use change resulted in the largest shift in spatial priority areas for conservation actions, and species representation within priority areas for conservation actions decreased by ∼9%. A large proportion of spatial conservation priorities will shift from forested areas with little disturbance under present conditions to agricultural areas in the future. Planning land use to reduce impacts on bats in priority areas outside protected areas where bats will be shifting their ranges in the future is crucial to enhance their conservation and maintain the important ecosystem services they provide to humans.     

Multiscale Characterization of Land-Use Patterns in China

This article explores the pattern of land use in China to understand the relationships between land use and factors that can be used to predict it. Such understanding is important for development of comprehensive models of land-use dynamics. Correlation and regression analyses are used to identify the most important explanatory variables from a large set of factors generally considered important in predicting the distribution of land use. We found that the spatial distribution of all land-use types in China is best described by an integrated set of biophysical and socioeconomic factors. Specific attention is given to the influence of the scale of analysis on study results. Both data resolution and the extent of the study area influence the discovered relationships. Relationships obtained at a certain scale of analysis therefore may not be directly applied at other scales or in other areas. The relevance of the systematic and quantitative characterization of the land-use patterns in China for the parameterization of spatially explicit land-use models is discussed. Received 20 July 1999; accepted 10 March 2000.     

Cultivating the climate: socio-economic prospects and consequences of climate-friendly peat land management in Germany

About 30% of the world’s soil carbon is stored in peat soils. Peat land’s functional principle of carbon storage greatly depends on management strategies. Therefore, agricultural peat land use becomes a focal point of interest in the current debate on climate protection. Agricultural management demands a drawdown of the water-level that causes degradation of the soils, as well as trace-gas emissions which have a negative impact on greenhouse-gas balance. Climate-friendly peat land management strategies, however, demand enhanced groundwater tables and decreased land-use intensity. Against this background, we analyse ways of re-organising agricultural peat land use within a case study located in Germany, where intensive peat land use accounts for 2.3–5.1% of the country’s overall greenhouse-gas emission. The study takes place in six regions which represent all possible socio-economic and natural conditions with regard to the range of existing peat land types, range of management and cultivation types, as well as the range of land-use intensity. To analyse potentials and effects of re-organising peat land use, stakeholder workshops and extensive farm surveys were carried out. The results indicate that reservations exist as regards a re-organisation of peat land management. Financial compensation for farmers appears necessary. The results also show that the potential of rearrangement throughout the regions varies significantly, mainly according to the existing level of interconnection and cooperation between local stakeholders, the technical feasibility of restoration and water logging and the level of agricultural profitability of peat land cultivation with regard to income, capital commitment and the share of affected peat land area.     

Abandonment and Expansion of Arable Land in Europe

Abandonment of arable land is often assumed to happen mostly in marginal areas where the conditions for arable cultivation are relatively unfavorable, whereas arable expansion is expected to occur mostly in areas with favorable conditions. This assumption, used in many land-use change forecasts, was never properly tested, mainly because the relatively short period of full-coverage land-use inventories did not allow a systematic analysis of the phenomena. With the recent release of CORINE 2006 this has changed. In this article, we explore the typical locations of abandonment and expansion of arable land in Europe during the period 1990–2006 by means of logistic regressions. More specifically, we test whether or not locations of abandonment and expansion can be inferred from the location characteristics of arable land in 1990. If the above assumption holds, this should be the case. We demonstrate that although arable expansion indeed happens in locations that resemble the bulk of arable land in 1990 (the presumably favorable locations), arable abandonment does not necessarily happen in locations that resemble the bulk of uncultivated land (that is, the presumably unfavorable locations). In other words, the assumption does not hold. Particularly, areas close to the road network were found to be associated with both high abandonment rates and high expansion rates, which suggest that abandonment is not limited to areas that are marginal in terms of agricultural production.     

SPA-LUCC: Developing land-use/cover scenarios in mountain landscapes

Massive land-use/cover changes (LUCC) have been observed in many regions worldwide over several decades. Modelling frameworks based on spatially explicit land-use/cover maps are particular suitable for analysing the impacts of LUCC on ecosystems and on related functions and services. Spatial allocation procedures have to meet specific characteristics of the study area and mountain regions require particular attention due to their complex topography. The aims of the study were to (1) develop SPatial Allocation procedures of LUCC (SPA-LUCC) adapted to the specific situation of mountain regions — in particular of the Alps, (2) generate land-use/cover scenario maps considering different patterns of socioeconomic development, and (3) evaluate LUCC spatially. Examining historical maps of the Stubai Valley (Austria), we identified biophysical factors as well as socioeconomic drivers. For validation, the 2003 land-use pattern was modelled based on the land-use pattern for 1973, providing an overall accuracy of 73%. Furthermore, we tested SPA-LUCC in other regions of the Alps in France, Germany, Italy and Switzerland successfully (accuracy ranged between 63% and 84%). Hence, SPA-LUCC was proven to be valid for 75% of the Alps. Likely future land-use patterns were modelled for three different socioeconomic scenarios for the Stubai Valley: (a) continuation of previous land-use changes, (b) reduction of use and (c) diversification of use. Results showed that agricultural land in particular is affected by significant changes, whereas the forest belt and near-natural grassland undergo only minor changes. Thus, SPA-LUCC lays the foundation for evaluating future landscape dynamics in the Alps. To provide practitioners with a user-friendly instrument, SPA-LUCC was elaborated as an ArcGIS®-toolbox.     

基于生态-经济比较优势视角的建设用地空间优化配置研究——以扬州市为例

随着生态空间日益萎缩,生态环境不断恶化,经济发展与生态保护矛盾日趋加剧。为了协调经济发展空间与生态保护空间的矛盾问题,促进生态、经济协调持续发展,综合运用景观生态学方法与经济学原理,从"生态-经济"比较优势视角对建设用地指标进行空间优化配置。运用景观安全格局方法构建区域综合生态安全格局,据此计算空间单元的生态重要性指数,采用最小累积阻力模型对区域建设用地开发经济适宜性进行评价,计算空间单元的建设用地开发经济适宜性指数;其次运用生态重要性指数与经济适宜性指数计算建设用地开发比较优势度,以比较优势约束性满足程度为目标函数构建建设用地空间优化配置模型,并用蒙特卡洛(Monte Carol)法对之求解。以江苏省扬州市为例作了实证研究。结果显示,未来扬州市建设用地向南部经济发达地区集中,北部地区主要承担生态保护功能;建设用地配置结果呈现出经济发展与生态保护的错位格局,有助于扬州市生态保护与经济发展。从"生态-经济"比较优势视角提出了建设用地空间优化配置方法,为土地利用规划及生态保护规划编制提供了科学依据。     

Resource-Mediated Indirect Effects of Grassland Management on Arthropod Diversity

Intensive land use is a driving force for biodiversity decline in many ecosystems. In semi-natural grasslands, land-use activities such as mowing, grazing and fertilization affect the diversity of plants and arthropods, but the combined effects of different drivers and the chain of effects are largely unknown. In this study we used structural equation modelling to analyse how the arthropod communities in managed grasslands respond to land use and whether these responses are mediated through changes in resource diversity or resource quantity (biomass). Plants were considered resources for herbivores which themselves were considered resources for predators. Plant and arthropod (herbivores and predators) communities were sampled on 141 meadows, pastures and mown pastures within three regions in Germany in 2008 and 2009. Increasing land-use intensity generally increased plant biomass and decreased plant diversity, mainly through increasing fertilization. Herbivore diversity decreased together with plant diversity but showed no response to changes in plant biomass. Hence, land-use effects on herbivore diversity were mediated through resource diversity rather than quantity. Land-use effects on predator diversity were mediated by both herbivore diversity (resource diversity) and herbivore quantity (herbivore biomass), but indirect effects through resource quantity were stronger. Our findings highlight the importance of assessing both direct and indirect effects of land-use intensity and mode on different trophic levels. In addition to the overall effects, there were subtle differences between the different regions, pointing to the importance of regional land-use specificities. Our study underlines the commonly observed strong effect of grassland land use on biodiversity. It also highlights that mechanistic approaches help us to understand how different land-use modes affect biodiversity.     

Nutrient concentrations and fibre contents of plant community biomass reflect species richness patterns along a broad range of land-use intensities among agricultural grasslands

Understanding changes in biodiversity in agricultural landscapes in relation to land-use type and intensity is a major issue in current ecological research. In this context nutrient enrichment has been identified as a key mechanism inducing species loss in Central European grassland ecosystems. At the same time, insights into the linkage between agricultural land use and plant nutrient status are largely missing. So far, studies on the relationship between chemical composition of plant community biomass and biodiversity have mainly been restricted to wetlands and all these studies neglected the effects of land use. Therefore, we analyzed aboveground biomass of 145 grassland plots covering a gradient of land-use intensities in three regions across Germany. In particular, we explored relationships between vascular plant species richness and nutrient concentrations as well as fibre contents (neutral and acid detergent fibre and lignin) in the aboveground community biomass.We found the concentrations of several nutrients in the biomass to be closely linked to plant species richness and land use. Whereas phosphorus concentrations increased with land-use intensity and decreased with plant species richness, nitrogen and potassium concentrations showed less clear patterns. Fibre fractions were negatively related to nutrient concentrations in biomass, but hardly to land-use measures and species richness. Only high lignin contents were positively associated with species richness of grasslands. The N:P ratio was strongly positively related to species richness and even more so to the number of endangered plant species, indicating a higher persistence of endangered species under P (co-)limited conditions. Therefore, we stress the importance of low P supply for species-rich grasslands and suggest the N:P ratio in community biomass to be a useful proxy of the conservation value of agriculturally used grasslands.     

Integrating Urbanization into Landscape-level Ecological Assessments

Economists and ecologists are often asked to collaborate on landscape-level analyses designed to jointly assess economic and ecological conditions resulting from environmental policy scenarios. This trend toward multidisciplinary projects, coupled with the growing use of geographic information systems, has led to the development of spatially explicit models that can be used to examine and project land-use change. Although spatial land-use models are still evolving, most published efforts have modeled the conversion of nonurban land to urban uses as a function of explanatory variables based on population density and the spatial proximity of land to roads, markets, and population centers. In this paper, we use a gravity model to describe the urbanization potential of forest and agricultural land as a combination of population and proximity. We develop an empirical model that describes the probability that forests and agricultural land in western Oregon and western Washington were transformed to residential, commercial, or industrial uses over a 30-year period as a function of urbanization potential, other socioeconomic factors, and geographic and physical land characteristics. Land-use data were provided by the USDA Forest Service's Forest Inventory and Analysis program. We use this empirical model to generate geographic information system maps depicting the probability of future land-use change that can be integrated with landscape-level ecological models developed for western Oregon's Coast Range. Received 14 April 2000; accepted 17 August 2000.     

Environmental factors and land uses related to the naturalization of <Emphasis Type="Italic">Bombus terrestris</Emphasis> in Hokkaido,northern Japan

The buff-tailed bumblebee, Bombus terrestris, was introduced into Japan in 1991 and is now widely established in Hokkaido, northern Japan. To characterize environmental factors affecting the naturalization of B. terrestris, we examined the relationship between vegetation, land use, and bumblebee fauna at various sites in Hokkaido. Increase of human-modified environments and reduced area of forest were associated with B. terrestris inhabitation. Although agricultural fields provide a huge expanse of land for B. terrestris naturalization, environmental instability (human impacts or weather factors) sometimes leads to local population extinctions. Urban and residential areas may suffer less fluctuation and provide suitable environments for B. terrestris naturalization though the total area is rather small. Presence of the both types of human-modified environments is likely to lead the introduction of B. terrestris into new areas in Hokkaido, northern Japan.     

基于水足迹的作物生产生态效率评价——以陕西省为例

传统生产函数很少考虑农业生产中自然资源的要素功能，也无法表达化肥、农药的使用对环境产生的损害。研究将绿水、蓝水和灰水足迹，分别代表降水资源、灌溉水资源和作物生产的环境影响，引入农业生产函数，采用随机前沿方法测算陕西省作物生产生态效率，并分析其影响因素。结果表明：1）1985-2018年间陕西省作物生产总水足迹呈上升趋势，作物生产单位面积用水强度不断增强。单位面积水足迹及蓝、绿、灰水占比与气候、种植结构，灌溉条件和农业污染相关。2）研究期内，陕西省作物生产生态效率以2003年为分界点呈现先降后升趋势，陕西省作物生产生态效率的U型波动对应政府对耕地资源保护和农业污染管控政策变化。3）作物生产生态效率低下的区域集中在生产落后的农业区和农业条件差的工业区，农业耕地质量差，灌溉条件匮乏，低效率（产值角度）的灌溉和化肥农药施用以及落后农业生产方式是导致作物生产生态效率低下的主要原因。4）研究期内，陕西省作物生产经历了从规模报酬递增，到规模报酬递减2个阶段，与耕地面积的变化基本对应。短期内，考虑各投入要素的产出弹性调整种植结构和化肥农药施用量是提高作物生产生态效率的有效措施，而促进农业产业升级和技术革新是推动作物生产生态效率提升的根本路径。