Effective ecosystem monitoring requires a multi-scaled approach

Ecosystem monitoring is fundamental to our understanding of how ecosystem change is impacting our natural resources and is vital for developing evidence-based policy and management. However, the different types of ecosystem monitoring, along with their recommended applications, are often poorly understood and contentious. Varying definitions and strict adherence to a specific monitoring type can inhibit effective ecosystem monitoring, leading to poor program development, implementation and outcomes. In an effort to develop a more consistent and clear understanding of ecosystem monitoring programs, we here review the main types of monitoring and recommend the widespread adoption of three classifications of monitoring, namely, targeted, surveillance and landscape monitoring. Landscape monitoring is conducted over large areas, provides spatial data, and enables questions relating to where and when ecosystem change is occurring to be addressed. Surveillance monitoring uses standardised field methods to inform on what is changing in our environments and the direction and magnitude of that change, whilst targeted monitoring is designed around testable hypotheses over defined areas and is the best approach for determining the causes of ecosystem change. The classification system is flexible and can incorporate different interests, objectives, targets and characteristics as well as different spatial scales and temporal frequencies, while also providing valuable structure and consistency across distinct ecosystem monitoring programs. To support our argument, we examine the ability of each monitoring type to inform on six key types of questions that are routinely posed for ecosystem monitoring programs, such as where and when change is occurring, what is the magnitude of change, and how can the change be managed? As we demonstrate, each type of ecosystem monitoring has its own strengths and weaknesses, which should be carefully considered relative to the desired results. Using this scheme, scientists and land managers can design programs best suited to their needs. Finally, we assert that for our most serious environmental challenges, it is essential that we include information from each of these monitoring scales to inform on all facets of ecosystem change, and this is best achieved through close collaboration between the scales. With a renewed understanding of the importance of each monitoring type, along with greater commitment to monitor cooperatively, we will be well placed to address some of our greatest environmental challenges

A plot-based analysis of the vegetation of the Northern Territory, Australia: a first assessment within the International Vegetation Classification framework

Aims: To develop an interim classification of the vegetation of the Northern Territory at the International Vegetation Classification (IVC) division (level 4) and macrogroup (level 5) levels. These types are produced to assist in the development of an integrated nationwide plot and floristically based classification of Australia allowing integration within a global perspective. Study Area: The Northern Territory of Australia covers an area of 1.42 million square kilometres, almost 20% of Australia’s land mass. It comprises three distinct climatic zones including tropical, subtropical and arid vegetation types. Methods: We used collated vegetation data held by two organisations: the Northern Territory Government, Department of Environment, Parks and Water Security and the Terrestrial Ecosystem Research Network (a total of 45,710 plots used). We applied semi-supervised quantitative classification methods to define vegetation types at the IVC division and macrogroup levels. Analyses used kR-CLUSTER methods on presence/absence data. Macrogroups were characterised by taxa with the highest frequency of occurrence across plots. Additional analyses were conducted (cluster) to elucidate interrelationships between macrogroups and to assist in the assessment of division level typology. Results: We propose 21 macrogroups and place these within higher thematic levels of the IVC. Conclusions: We found that the IVC hierarchy and associated standard procedures and protocols provide a useful classification tool for Australian ecosystems. The divisions and macrogroups provide a valid framework for subsequent analysis of Northern Territory vegetation types at the detailed levels of the IVC. A consistent typology for the Northern Territory (and hopefully in future, for all of Australia) has numerous benefits, in that they can be used for various applications using a well-structured, systematic and authoritative description and classification that is placed in a continental and global context, readily enabling the one system to be used in studies from the local to global level. Taxonomic reference: Northern Territory Herbarium (2022). Abbreviations: DVT = Definitive Vegetation Type; IVC = International Vegetation Classification; nMDS = non-metric multidimensional scaling; NT = Northern Territory; NTVSD = Northern Territory Vegetation Site Database; NVIS = National Vegetation Information System; WA = Western Australia

The Lobby in transition: what the 2009 MPs’ expenses scandal revealed about the changing relationship between politicians and the Westminster Lobby?

The 2009 MPs' expenses scandal was one of the most significant political stories of modern times. It raised questions, not just about the ethics and behaviour of MPs but also about the relationship between politicians at Westminster and the political correspondents who follow them on a daily basis, known as ‘the lobby’. For the significance of this scandal, in media terms, was that the story was not broken by members of the lobby but came from outside the traditional Westminster news gathering process. This paper examines why this was the case and it compares the lobby today with that which was described and analysed by Jeremy Tunstall and Colin Seymour-Ure in their respective studies more than 40 years ago. The article concludes that the lobby missed the story partly because of the nature of the lobby itself and partly as a result of a number of specific changes which have taken place in the media and the political systems over the past 40 years

Exploring the Relationship Between Anxiety and Insistence on Sameness in Autism Spectrum Disorders

Peer Reviewedhttp://deepblue.lib.umich.edu/bitstream/2027.42/96769/1/aur1263.pd

Numerical solution of MHD slip flow of a nanofluid past a radiating plate with Newtonian heating : a lie group approach

In this paper, we have examined the magnetohydrodynamic flow of a nanofluid past a radiating sheet. The Navier velocity slip, Newtonian heating and passively controlled wall boundary conditions are considered. The governing equations are reduced into similarity equations with the help of Lie group. A collocation method is used for simulation. The influence of emerging parameters on velocity, temperature, nanoparticle volumetric fraction profiles, as well as on local skin friction factor and local Nusselt number are illustrated in detail. It is found that the friction (heat transfer rate) is lower (higher) for passively controlled boundary conditions as compared to the case of an actively controlled boundary condition. The magnetic field decreases both the skin friction and the rate of heat transfer. The findings are validated with existing results and found an excellent agreement. The model explores new applications in solar collectors with direct solar radiative input using magnetic nanofluids

Mid-childhood outcomes of infant siblings at familial high-risk of Autism Spectrum Disorder

Almost one-in-five infants at high familial risk for autism spectrum disorder (ASD), due to having an older sibling with an ASD diagnosis, develop ASD themselves by age 3 years. Less is known about the longer-term outcomes of high-risk infants. To address this issue, we examined symptoms of ASD and associated developmental conditions (attention-deficit/hyperactivity disorder (ADHD); anxiety), language, IQ, and adaptive behaviour at age 7 years in high- and low-risk children studied from infancy. We compared outcomes between high-risk children who met criteria for ASD at age 7, high-risk children without ASD, and low-risk control children. Diagnostic stability between 3 and 7 years was moderate. High-risk siblings with ASD showed elevated levels of ADHD and anxiety symptoms and lower adaptive behaviour than low-risk control children. High-risk siblings without ASD had higher repetitive behaviours, lower adaptive functioning, and elevated scores on one anxiety subscale (Separation Anxiety) compared to low-risk controls. The findings indicate that the difficulties experienced by high-risk siblings at school age extend beyond ASD symptoms. Better understanding of these difficulties may improve models of the development of co-occurring problems seen in children with ASD. Autism Res 2016

Sensorimotor Difficulties Are Associated with the Severity of Autism Spectrum Conditions

Present diagnostic criteria for autism spectrum conditions (ASC) include social communication and interaction difficulties, repetitive behaviour and movement, and atypical sensory responsivity. Few studies have explored the influence of motor coordination and sensory responsivity on severity of ASC symptoms. In the current study, we explore whether sensory responsivity and motor coordination differences can account for the severity of autistic behaviours in children with ASC. 36 children took part: 18 (13 male, 5 female) with ASC (ages 7-16: mean age 9.93 years) and 18 (7 male, 11 female) typically developing (TD) children (ages 6-12; mean age 9.16 years). Both groups completed a battery of assessments that included motor coordination, sensory responsivity, receptive language, non-verbal reasoning and social communication measures Children with ASC also completed the Autism Diagnostic Observation Schedule and Autism Diagnostic Interview – Revised.. Results showed that children with ASC scored significantly lower on receptive language, coordination and sensory responsivity and a sensorimotor subscale, Modulation of Activity (MoA) compared to the TD group. In the ASC group, MoA significantly predicted ASC severity across all ASC measures; receptive language and sensory responsivity significantly predicted parental reported autism measures; and coordination significantly predicted examiner observed reported scores. Additionally, specific associations were found between the somatosensory perceptive modalities and ASC severity. The results show that sensorimotor skills are associated with severity of ASC symptoms; furthering the need to research sensorimotor integration in ASC and also implying that diagnosis of ASC should also include the assessment of both coordination deficit and atypical sensory responsivity