鄱阳湖生态经济区生态系统服务价值预测与驱动力

鄱阳湖生态经济区是我国第一个上升到国家战略的生态经济区。利用鄱阳湖生态经济区2004、2008、2012、2016年的MODIS数据,获得4个对应期的土地利用/覆盖数据,参照修订的单位面积生态系统服务价值当量表与灰色GM(1,1)模型,预测了2016-2024年(间隔2 a)的生态系统服务价值数据,并对引起生态服系统务价值变化的驱动力进行了分析。结果表明,鄱阳湖生态经济区在2004-2016年间,草地、建设用地和未利用地面积增加,耕地、林地、水域面积减少,但2016-2024年的预测值变化率仅为-0.17%,表明该研究区生态系统服务价值即将进入一个相对稳定的状态;驱动力分析表明,人为综合干扰在空间分布上以中等影响强度干扰为主,城镇化率是区域总生态系统服务价值降低的首要驱动力,其次分别为非农业人口、人口密度、第一产业GDP、第二产业GDP、固定资产投资额、总GDP及第三产业GDP。建议加强土地利用规划与调控,控制城镇化建设用地扩展,调整产业结构、降低污染,促进鄱阳湖生态经济区总生态系统服务价值的提升。     

Localization of genes for bacterial canker resistance in Lycopersicon peruvianum using RFLPs

A backcross population of the L. peruvianum accession LA 2157, which is resistant to bacterial canker caused by Clavibacter michiganensis ssp. michiganensis, with the susceptible L. peruvianum accession LA 2172 was evaluated for the segregation of C. michiganenis resistance and of RFLP markers in order to map the loci involved in this resistance. The development of symptoms of the disease was scored using an ordinal scale. The mapping of the disease resistance was hampered by distorted segregation ratios of a large number of markers and unexpected quantitative inheritance of the resistance. By means of the Kruskal-Wallis rank-sum test, five regions on chromosomes 1, 6, 7, 8 and 10 were identified that may be involved in C. michiganensis resistance.     

京津冀城市群区域产业协同的政策格局及评价

产业协同发展是京津冀区域协同发展的三个重点领域之一,科学合理的产业协同政策是加快实现这一发展目标的重要保障。通过对京津冀城市群区域产业协同政策事件的系统梳理,从区域、省际和城际3个尺度解读了产业协同政策的格局及其演进过程,并从新区域主义的管治视角进行了评价。研究认为:(1)京津冀产业协同发展进入了快速发展的机遇期,协同政策极大地推动了区域内跨地产业合作和城市间产业联系,有助于提高城市群整体竞争力;(2)不同空间尺度的产业协同政策关注的重点、发展的方向、演化的特征不同,当前城市间的产业协同政策与区域协同发展目标的关系不明确,产业协同对生态环境的改善尚不显著,亟需加强研究和统筹协调;(3)受城市行政区等级关系和竞争关系的影响,京津冀产业协同政策与市场调节无法实现高度契合统一,与新区域主义的管治理念并不相符,影响科学合理协同政策的制定与实施。研究对当前京津冀区域产业协同发展推进及其政策制定有重要的参考意义。     

Beyond ecosystem modeling: A roadmap to community cyberinfrastructure for ecological data‐model integration

In an era of rapid global change, our ability to understand and predict Earth's natural systems is lagging behind our ability to monitor and measure changes in the biosphere. Bottlenecks to informing models with observations have reduced our capacity to fully exploit the growing volume and variety of available data. Here, we take a critical look at the information infrastructure that connects ecosystem modeling and measurement efforts, and propose a roadmap to community cyberinfrastructure development that can reduce the divisions between empirical research and modeling and accelerate the pace of discovery. A new era of data‐model integration requires investment in accessible, scalable, and transparent tools that integrate the expertise of the whole community, including both modelers and empiricists. This roadmap focuses on five key opportunities for community tools: the underlying foundations of community cyberinfrastructure; data ingest; calibration of models to data; model‐data benchmarking; and data assimilation and ecological forecasting. This community‐driven approach is a key to meeting the pressing needs of science and society in the 21st century.     

Landscape simplification increases vineyard pest outbreaks and insecticide use

Diversifying agricultural landscapes may mitigate biodiversity declines and improve pest management. Yet landscapes are rarely managed to suppress pests, in part because researchers seldom measure key variables related to pest outbreaks and insecticides that drive management decisions. We used a 13‐year government database to analyse landscape effects on European grapevine moth (Lobesia botrana) outbreaks and insecticides across c. 400 Spanish vineyards. At harvest, we found pest outbreaks increased four‐fold in simplified, vineyard‐dominated landscapes compared to complex landscapes in which vineyards are surrounded by semi‐natural habitats. Similarly, insecticide applications doubled in vineyard‐dominated landscapes but declined in vineyards surrounded by shrubland. Importantly, pest population stochasticity would have masked these large effects if numbers of study sites and years were reduced to typical levels in landscape pest‐control studies. Our results suggest increasing landscape complexity may mitigate pest populations and insecticide applications. Habitat conservation represents an economically and environmentally sound approach for achieving sustainable grape production.     

Phylogenetic scale in ecology and evolution

Aim

Many important patterns and processes vary across the phylogeny and depend on phylogenetic scale. Nonetheless, phylogenetic scale has never been formally conceptualized, and its potential remains largely unexplored. Here, we formalize the concept of phylogenetic scale, review how phylogenetic scale has been considered across multiple fields and provide practical guidelines for the use of phylogenetic scale to address a range of biological questions.

Innovation

We summarize how phylogenetic scale has been treated in macroevolution, community ecology, biogeography and macroecology, illustrating how it can inform, and possibly resolve, some of the longstanding controversies in these fields. To promote the concept empirically, we define phylogenetic grain and extent, scale dependence, scaling and the domains of phylogenetic scale. We illustrate how existing phylogenetic data and statistical tools can be used to investigate the effects of scale on a variety of well‐known patterns and processes, including diversification rates, community structure, niche conservatism or species‐abundance distributions.

Main conclusions

Explicit consideration of phylogenetic scale can provide new and more complete insight into many longstanding questions across multiple fields (macroevolution, community ecology, biogeography and macroecology). Building on the existing resources and isolated efforts across fields, future research centred on phylogenetic scale might enrich our understanding of the processes that together, but over different scales, shape the diversity of life.     

基于农业生态服务价值的农业绿色GDP核算——以安塞县为例

将传统GDP绿色化,也就是“绿色GDP”是国民经济核算研究和探索的热点。从微观层面对农业生产进行绿色GDP核算,认为农业绿色GDP不仅包含传统的产品价值,还应包括农业对人类社会经济系统的生态服务价值,并以基于生态系统服务价值的“农业绿色GDP=农业常规GDP＋农业生态GDP”的公式核算了安塞县的绿色GDP。结果表明：（1）安塞县2000年的农业生产总值为29187万元,减去中间消耗为18972万元;（2）若考虑农业生态环境代价,则农业生产产值仅为6272．30万元,是农业常规GDP的33．06％,农业常规GDP背后至少隐含着66．94％的农业生态环境代价;（3）应用市场价值法、机会成本法、替代工程法、影子价格法等核算农业生态系统服务价值结果为504218．37万元,把农业生态系统服务价值作为农业系统的间接产出,则该县2000年的农业绿色GDP为510490．67万元。安塞县农业经济的获得背后至少有66．94％生态环境代价是依靠其农业生态系统的服务来提供和补偿的。     

基于MuSIASEM理论的大连经济技术开发区可持续发展评价

基于社会生态系统代谢多尺度综合评估（MuSIASEM）理论,对2000-2007年大连经济技术开发区人类活动时间、体外能投入量和增加值进行综合评价.结果表明：2000-2007年,大连开发区居民生活水平逐年提高;农业逐渐萎缩;第二产业仍为区域支柱产业,能耗较大;第三产业发展落后于第二产业;区域整体和各个产业的体外能代谢率明显提高,能源密度不断下降;人类活动时间与体外能投入量不断减少的情况下,经济增加值稳步增长,区域整体发展呈可持续态势.     

Organic matter processing by a stream-segment ecosystem: Fort River,Massachusetts, U.S.A.

An annual organic matter budget for a 1700 m segment of Fort River (Massachusetts, USA) is presented. Primary production in this fourth order stream exceeds litter input annually, however ecosystem P/R is 0.5. Respiration in excess of gross primary production is supported by allochthonous organic matter imported from upstream reaches. The relative contribution of organic matter size fractions to stream consumers depends upon biologic lability, rate of input, and residence time in the ecosystem. Particles of seston size (1 μm to 1 mm) are most heavily used by consumers, however dissolved organic matter represents the largest input component. Microorganisms are the predominant consumers in this soft-water, nutrient-poor stream ecosystem. A conceptual model for assessing the processing efficiency of stream ecosystems is presented and discussed in terms of several headwater to estuary gradients.