Reducing the babel in plant volatile communication: using the forest to see the trees

While plants of a single species emit a diversity of volatile organic compounds (VOCs) to attract or repel interacting organisms, these specific messages may be lost in the midst of the hundreds of VOCs produced by sympatric plants of different species, many of which may have no signal content. Receivers must be able to reduce the babel or noise in these VOCs in order to correctly identify the message. For chemical ecologists faced with vast amounts of data on volatile signatures of plants in different ecological contexts, it is imperative to employ accurate methods of classifying messages, so that suitable bioassays may then be designed to understand message content. We demonstrate the utility of `Random Forests' (RF), a machine-learning algorithm, for the task of classifying volatile signatures and choosing the minimum set of volatiles for accurate discrimination, using datam from sympatric Ficus species as a case study. We demonstrate the advantages of RF over conventional classification methods such as principal component analysis (PCA), as well as data-mining algorithms such as support vector machines (SVM), diagonal linear discriminant analysis (DLDA) and k-nearest neighbour (KNN) analysis. We show why a tree-building method such as RF, which is increasingly being used by the bioinformatics, food technology and medical community, is particularly advantageous for the study of plant communication using volatiles, dealing, as it must, with abundant noise.

Forest governance and climate change adaptation : Case studies of four African countries

Africa is threatened by climate change. The adaptive capacity of local communities continues to be weakened by ineffective and inefficient livelihood strategies and inappropriate development interventions. One of the greatest challenges for climate change adaptation in Africa is related to the governance of natural resources used by vulnerable poor groups as assets for adaptation. Practical and good governance activities for adaptation in Africa is urgently and much needed to support adaptation actions, interventions and planning. The adaptation role of forests has not been as prominent in the international discourse and actions as their mitigation role. This study therefore focused on the forest as one of the natural resources used for adaptation. The general objective of this research was to assess the extent to which cases of current forest governance practices in four African countries Burkina Faso, The Democratic Republic of Congo (DRC), Ghana and Sudan are supportive to the adaptation of vulnerable societies and ecosystems to impacts of climate change. Qualitative and quantitative analyses from surveys, expert consultations and group discussions were used in analysing the case studies. The entire research was guided by three conceptual sets of thinking forest governance, climate change vulnerability and ecosystem services. Data for the research were collected from selected ongoing forestry activities and programmes. The study mainly dealt with forest management policies and practices that can improve the adaptation of forest ecosystems (Study I) and the adaptive capacity through the management of forest resources by vulnerable farmers (Studies II, III, IV and V). It was found that adaptation is not part of current forest policies, but, instead, policies contain elements of risk management practices, which are also relevant to the adaptation of forest ecosystems. These practices include, among others, the management of forest fires, forest genetic resources, non-timber resources and silvicultural practices. Better livelihood opportunities emerged as the priority for the farmers. These vulnerable farmers had different forms of forest management. They have a wide range of experience and practical knowledge relevant to ensure and achieve livelihood improvement alongside sustainable management and good governance of natural resources. The contributions of traded non-timber forest products to climate change adaptation appear limited for local communities, based on their distribution among the stakeholders in the market chain. Plantation (agro)forestry, if well implemented and managed by communities, has a high potential in reducing socio-ecological vulnerability by increasing the food production and restocking degraded forest lands. Integration of legal arrangements with continuous monitoring, evaluation and improvement may drive this activity to support short, medium and long term expectations related to adaptation processes. The study concludes that effective forest governance initiatives led by vulnerable poor groups represent one practical way to improve the adaptive capacities of socio-ecological systems against the impacts of climate change in Africa.

Gauss law commutator in the chirally gauged Wess-Zumino-Witten model

We evaluate the commutator of the Gauss law constraints starting from the chirally gauged Wess-Zumino-Witten action. The calculations are done at tree level, i.e. by evaluating corresponding Poisson brackets. The results are compared with commutators obtained by others directly from the gauged fermionic theory, and with Faddeev's results based on cohomology.

Random matrices: Universality of ESDs and the circular law

Given an n x n complex matrix A, let mu(A)(x, y) := 1/n vertical bar{1 <= i <= n, Re lambda(i) <= x, Im lambda(i) <= y}vertical bar be the empirical spectral distribution (ESD) of its eigenvalues lambda(i) is an element of C, i = l, ... , n. We consider the limiting distribution (both in probability and in the almost sure convergence sense) of the normalized ESD mu(1/root n An) of a random matrix A(n) = (a(ij))(1 <= i, j <= n), where the random variables a(ij) - E(a(ij)) are i.i.d. copies of a fixed random variable x with unit variance. We prove a universality principle for such ensembles, namely, that the limit distribution in question is independent of the actual choice of x. In particular, in order to compute this distribution, one can assume that x is real or complex Gaussian. As a related result, we show how laws for this ESD follow from laws for the singular value distribution of 1/root n A(n) - zI for complex z. As a corollary, we establish the circular law conjecture (both almost surely and in probability), which asserts that mu(1/root n An) converges to the uniform measure on the unit disc when the a(ij) have zero mean.

Markov random fields and spatial smoothing in improving of forest inventory estimates

Markov random fields (MRF) are popular in image processing applications to describe spatial dependencies between image units. Here, we take a look at the theory and the models of MRFs with an application to improve forest inventory estimates. Typically, autocorrelation between study units is a nuisance in statistical inference, but we take an advantage of the dependencies to smooth noisy measurements by borrowing information from the neighbouring units. We build a stochastic spatial model, which we estimate with a Markov chain Monte Carlo simulation method. The smooth values are validated against another data set increasing our confidence that the estimates are more accurate than the originals.

Metsänomistajille tarjottavat palvelut, palveluntarjoajat ja palvelukentän rakenne

Suomessa metsänomistajille on tarjolla neljäntyyppisiä eri palveluita metsänhoidossa, puukaupassa, omaisuudenhoidossa ja informaatiopalveluissa. Palveluita tarjoaa joukko hyvin erikokoisia organisaatioita, joista osa toimii markkinalähtöisesti toisten tarjotessa palveluitaan lakiperusteisesti. Metsäalan palvelumarkkinat ovat nyt murrosvaiheessa, ja muutoksia on tapahtumassa sekä tarjonta- että kysyntäkentässä. Metsänomistajille tarjottavien palveluiden markkinoita ei tarjoajanäkökulmasta ole aiemmin tutkittu kattavasti. Tutkimukset ovat usein keskittyneet suppeasti johonkin palvelulajiin, eikä kokonaiskuvausta palvelumarkkinoista omaisuudenhoitopalvelut mukaan lukien ole ollut tarjolla. Tarjoajakenttään on odotettavissa muutoksia, sillä metsäalan palvelumarkkinoiden rahoituspohjaa ollaan muuttamassa, jolloin markkinoiden kilpailu vapautuu nykytilanteeseen verrattuna. Muutokset koskevat etenkin lakisääteisten organisaatioiden toimintaa, mutta ne tulevat vaikuttamaan koko toimialaan. Kysyntäkentässä aiempi tutkimus on ollut kattavampaa. Etenkin metsänomistajarakenteen muutosta, joka johtuu pääasiassa metsätilojen siirtymisestä kaupungistuneelle sukupolvelle, on tutkittu runsaasti. Lisäksi palveluiden kysyntään vaikuttavia tekijöitä ja palvelun eri laatu-ulottuvuuksia on tutkittu. Voidaan kuitenkin epäillä, kyetäänkö markkinoilla tarjoamaan sellaisia palveluita, jotka todella kattavasti tyydyttävät metsänomistajien tarpeita ja pystyvät tarjoamaan sellaisia hyötyjä, joista ollaan valmiita maksamaan. Tässä tutkimuksessa on tarkasteltu nykyisiä metsäpalvelumarkkinoita, sillä kokonaiskuvan luominen nykytilanteesta tarjoaa pohjan tulevien muutoksien ennakoimiselle. Tutkimusmenetelmänä on käytetty kvalitatiivista sisällönanalyysiä, ja tarkastelun kohteena on ollut palveluntarjoajien metsänomistajille suuntaama markkinointimateriaali – pääasiassa tarjoajien internetissä oleva materiaali. Markkinointimateriaalien tukena on käytetty palveluorganisaatioiden edustajien ja alan asiantuntijoiden teemahaastatteluita. Palveluita ja organisaatioita on tarkasteltu niiden asiakkaan kokemien hyötyjen pohjalta, joita markkinoinnissa palveluihin ja palveluntarjoajiin on pyritty liittämään. Teoreettisesti taustalla on käytetty mallia kuluttajan valintakriteereistä hankintapäätöstä tehtäessä. Tulosten perusteella on löydettävissä kysynnän kannalta kriittisiä palveluita, joiden ympärille palvelukokonaisuuksia on rakennettu. Metsänomistamisen odotetaan olevan kannattavaa, joten eräs palveluntarjonnan haasteista syntyy alan tarpeesta rahoittaa itsensä mielekkäällä aikajänteellä. Tämä luo tarpeen tuloja synnyttävien palveluiden yhdistämiseen kokonaisuuksiksi kustannuksia aiheuttavien, mutta muita hyötyjä tuottavien palveluiden kanssa. Tarjoajien kannalta tärkeää on kyetä luomaan asiakkaita hyödyttäviä palvelukokonaisuuksia muuttuville markkinoille.