Resolving the Conflicts Between Biodiversity Conservation and Socioeconomic Development in China: Fuzzy Clustering Approach

Resolving the conflicts between biodiversity conservation and socioeconomic development is a global pursuit for the long-run prospects of the human species. Based on Wenchuan County, a typical county in southwestern China, a group of 20 indicators quantifying regional biodiversity and socioeconomic development was established to classify and evaluate the county area spatially. A fuzzy c-means clustering (FCM) algorithm was used as the classification method. Three indices including BD, DL and DR characterizing the value of biodiversity, the level and rate of socioeconomic development of the delineated regions were formulated. The results indicated that Wenchuan County was optimally classified into 4 types of regions (region I to IV). The area percentages of the regions vary widely from 4.3 to 65.7%. The sequences of the regions on biodiversity, socioeconomic development level, and socioeconomic development rate were, respectively, IV > II > III > I, I > III > II > IV and III >I >II >IV. The spatial strategy on coordinating biodiversity conservation and regional development is to develop mainly from the east(I, II, III) and to conserve mainly in the west(IV). Eco-industry, such as eco-tourism and eco-agriculture, need to be emphasized in the process of regional development. The quantitative methods used here may have a wide applicability.     

Monitoring plant community change: an application of quadrat classification + discriminant analysis

A procedure for monitoring plant community change was described using data from 189 quadrats (each 0.09 m² in area) from or near 11 Carex exserta meadow sites in the high Sierra Nevada, California, USA. Initially the quadrats were agglomerated into five clusters by the flexible clustering strategy (beta=–0.25) with the standard absolute distance resemblance function. Data for each quadrat were cover percentages for C. exserta, other plants, litter, soil, gravel, and rock. The five clusters appeared to define a cover gradient, from quadrats with mostly gravel and rock to those with mostly C. exserta, and were accordingly designated pioneer, low seral, mid-seral, high seral, and climax.Classification functions (from discriminant analysis) are used with values of the variables to classify individual quadrats on sites used to monitor change. A site is characterized at repeated observations by the proportions of quadrats in each class. Within-class (low seral vs. low seral) rather than between-class (pioneer vs. low seral) tests are made for presence of change. Confidence intervals for differences in proportions of quadrats or individual quadrat probabilities of class membership are computed. If the confidence intervals do not cover zero, values for time one versus time two differ significantly.     

Clustering of fatty acids in phospholipid bilayers

From electrophoresis experiments it is concluded that acidic phospholipids incorporated in liquid crystalline phosphatidylcholine bilayers at neutral pH are randomly distributed. The same is true for spin-labelled fatty acids. In contrast, long chain fatty acids are not fully ionized at neutral pH and appear to be clustered, i.e. they segregate out into patches. Only at $\text{pH}\text{>11}$ is the fatty acid-COOH group fully ionized and charge repulsion leads to a random distribution of the fatty acid within the plane of the bilayer.     

Cell shape changes and transmembrane receptor uncoupling induced by tertiary amine local anesthetics

Tertiary amine local anesthetics (dibucaine, Tetracaine, procaine, etc.) modify cell morphology, concanavalin A (Con A)-mediated agglutinability and redistribution of Con A receptors. Con A agglutination of untransformed mouse 3T3 cells was enhanced at low concentrations of local anesthetics, and the dynamics of fluorescent-Con A indicated that ligand-induced clustering was increased in the presence of the drugs. In contast, these drugs inhibited Con A-induced receptor capping on mouse spleen cells. These effects can be duplicated by combinations of vinblastine (or colchicine) and cytochalasin B suggesting that local anesthetics act on microtubule cell surface receptor mobility and distribution. It is proposed that tertiary amine local anesthetics displace plasma membrane-bond Ca²⁺, resulting in disengagement of microfilament systems from the plasma membrane and increased cellular Ca²⁺ concentration to levels which disrupt microtubular organization. The possible involvement of cellular Ca²⁺ in cytoskeletal destruction by local anesthetics was investigated utilizing Ca²⁺-specific ionophores A23187 and X537A. In media containing Ca²⁺ and cytochalasin B these ionophores caused effects similar to tertiary amine local anesthetics.     

StructureSelector: A web‐based software to select and visualize the optimal number of clusters using multiple methods

Inferences of population genetic structure are of great importance to the fields of ecology and evolutionary biology. The program structure has been widely used to infer population genetic structure. However, previous studies demonstrated that uneven sampling often leads to wrong inferences on hierarchical structure. The most widely used ΔK method tends to identify the uppermost hierarchy of population structure. Recently, four alternative statistics (medmedk , medmeak , maxmedk and maxmeak ) were proposed, which appear to be more accurate than the previously used methods for both even and uneven sampling data. However, the lack of easy‐to‐use software limits the use of these appealing new estimators. Here, we developed a web‐based user‐friendly software structureselector to calculate the four appealing alternative statistics together with the commonly used Ln Pr(X|K) and ΔK statistics. structureselector accepts the result files of structure , admixture or faststructure as input files. It reports the “best” K for each estimator, and the results are available as HTML or tab separated tables. The program can also generate graphical representations for specific K, which can be easily downloaded from the server. The software is freely available at http://lmme.qdio.ac.cn/StructureSelector/ .     

Organization and possible origin of the Bari-1 cluster in the heterochromatic h39 region of Drosophila melanogaster

The molecular organization of the heterochromatic h39 region of the Drosophila melanogaster second chromosome has been investigated by studying two BAC clones identified both by Southern blotting and by FISH experiments as containing tandem arrays of Bari1, a transposable element present only in this region. Such BAC clones appear to contain different portions of the h39 region since they differ in the DNA sequences flanking the Bari1 repeats on both sides. Thus, the 80 Bari1 copies estimated to be present in the h39 region are split into at least two separated subregions. On the basis of the analysis of the flanking sequences a possible mechanism depending on an aberrant activity of the Bari1 transposase is proposed for the genesis of the heterochromatic tandem arrays of the element.     

陆地棉品种抗黄萎病反应规律的研究

对我国自育的108个陆地棉品种的抗黄萎病性进行了研究。在黄萎病发病期内,对黄萎病发病情况进行连续调查,测定产量、考查产量因素并检测纤维品质。利用因子分析法对陆地棉抗黄萎病反应规律进行分析,得出不同时期的黄萎病病指主要与前后3～5个阶段抗病性有关。病情发展主要由4个主因子决定,且第1、2主因子具有较大的方差贡献率。第1主因子(F1)主要与品种7月26日至8月9日的黄萎病病指有关,第2主因子(F2)主要与品种8月20日至9月4日的黄萎病病指有关。利用因子分析结果将108个品种划分为4个类型,前期抗病性较好而后期发病较快的第Ⅰ类品种,其产量较低,单株结铃数、单铃重、衣分均低于其他3类;纤维品质均较差,纤维长度、整齐度、比强度和马克隆值均较其他3类差。前期和后期病指均较低、发病缓慢的第Ⅱ类则小区产量最高,纤维品质处于平均水平。第Ⅲ类品种前期发病较慢,中期发病较快,具有较高的小区产量,单铃重最高;纤维整齐度、比强度和伸长率好于其他3类品种;前期发病较快,中期发病平缓,后期仍具有较高病指的为第Ⅳ类品种,小区产量较低,单株产量、单株结铃数和衣分较高;其他性状处于中等水平。但研究表明,某一阶段具有的抗病性并不能完全代表品种的抗病性。     

Hierarchical structure of the Sicilian goats revealed by Bayesian analyses of microsatellite information

Genetic structure and relationship amongst the main goat populations in Sicily (Girgentana, Derivata di Siria, Maltese and Messinese) were analysed using information from 19 microsatellite markers genotyped on 173 individuals. A posterior Bayesian approach implemented in the program STRUCTURE revealed a hierarchical structure with two clusters at the first level (Girgentana vs. Messinese, Derivata di Siria and Maltese), explaining 4.8% of variation (amova Ф_ST estimate). Seven clusters nested within these first two clusters (further differentiations of Girgentana, Derivata di Siria and Maltese), explaining 8.5% of variation (amova Ф_SC estimate). The analyses and methods applied in this study indicate their power to detect subtle population structure.