Translating Ecological Integrity terms into operational language to inform societies

It is crucial that societies are informed on the risks of impoverished ecosystem health for their well-being. For this purpose, Ecological Integrity (EI) is a useful concept that seeks to capture the complex nature of ecosystems and their interaction with social welfare. But the challenge remains to measure EI and translate scientific terminology into operational language to inform society. We propose an approach that simplifies marine ecosystem complexity by applying scientific knowledge to identify which components reflect the state or state change of ecosystems. It follows a bottom-up structure that identifies, based on expert knowledge, biological components related with past and present changing conditions. It is structured in 5 stages that interact in an adaptive way: stage 1, in situ observations suggest changes could be happening; stage 2 explores available data that represent EI; stage 3, experts' workshops target the identification of the minimum set of variables needed to define EI, or the risk of losing EI; an optative stage 4, where deviance from EI, or risk of deviance, is statistically assessed; stage 5, findings are communicated to society. We demonstrate the framework effectiveness in three case studies, including a data poor situation, an area where lack of reference sites hampers the identification of historical changes, and an area where diffuse sources of stress make it difficult to identify simple relationships with of ecological responses. The future challenge is to operationalize the approach and trigger desirable society actions to strengthen a social-nature link.Comment: Submitted to Journal of Environmental Management 13 April 2018; Received in revised form by the journal 3 September 2018; Accepted 10 September 201

ANALISIS PEMAHAMAN KONSEP MATEMATIKA SISWA DENGAN MODEL PEMBELAJARAN PROBLEM BASED LEARNING PADA POKOK BAHASAN SEGITIGA (Study deskriptif di Kelas VII SMP Negeri 2 Plered Kab. Cirebon)

Anggun Maya Sari. NIM 59451058. “Analisis Pemahaman Konsep Matematika Siswa dengan Model Pembelajaran Problem Based Learning pada Pokok Bahasan Segitiga”. (Studi Deskriptif di Kelas VII SMP Negeri 2 Plered). Pembelajaran yang efektif adalah pembelajaran yang menyediakan kesempatan kepada siswa untuk belajar mandiri, sehingga dalam prosesnya siswa dapat memperoleh pemahaman dan pengetahuan dengan lebih mendalam. Akan tetapi proses kegiatan pembelajaran matematika yang berlangsung disekolah, pada umumnya guru hanya sekedar penyampai informasi tanpa mempertimbangkan seberapa jauh pemahaman siswa terhadap konsep matematika dari pokok bahasan segitiga yang disampaikan. Tujuan penelitian ini adalah 1) mengetahui seberapa besar pemahaman konsep yang dimiliki peserta didik; 2) mengetahui factor pendukung dan penghambat peserta didik dalam memahami konsep yang diberikan; 3) mengetahui deskripsi aktivitas siswa dalam memahami konsep matematika melalui model pembelajaran Problem Based Learning; 4) mengetahui respon siswa setelah melaksanakan model pembelajaran Problem Based Learning; 5) mengetahui sejauhmana pemahaman konsep matematika siswa setelah mengikuti proses pembelajaran Problem Based Learning. Penerapan model pembelajaran Problem Based Learning (PBL) merupakan salah satu model pembelajaran yang dapat memberikan kondisi belajar aktif kepada siswa. Dengan diterapkannya pembelajaran matematika dengan model pembelajaran PBL, diharapkan dapat membantu siswa dalam memahami konsep matematika. Penelitian ini menggunakan pendekatan kualitatif dan kuantitatif dengan metode deskriptif. Pengumpulan data menggunakan lembar observasi, pedoman wawancara, angket dan tes. Informan dalam penelitian ini adalah kelas VII yang sudah dibentuk kelompok kelas, yaitu VII A, VII D dan VII F. dengan menggunakan proportionate stratified random sampling, maka dari masingmasing kelompok kelas didapat 18 siswa sebagai informan penelitian. Berdasarkan dari hasil wawancara tentang siswa dalam pemahaman konsep matematika, diperoleh siswa masih kurang dan masih perlu banyak bimbingan. Aktivitas siswa selama pembelajaran melalui model pembelajaran PBL diperoleh dari hasil lembar observasi dengan nilai rata-rata dari semua aspek sebesar 54,39% yang termasuk dalam kategori sedang. Berdasarkan angket respon siswa setelah dilaksanakan model pembelajaran PBL termasuk dalam kategori baik dengan nilai rata-rata 76,44%. Pemahaman konsep matematika siswa setelah mengikuti proses pembelajaran dengan model pembelajaran PBL diperoleh siswa lebih rajin dalam mencari bahan untuk menyelesaikan soal-soal yang diberikan dan menambah pemahaman siswa mengenai konsep matematika, meski masih belum 100% benar, dan hasil tes didapat nilai rata-rata 39% yang termasuk dalam kategori sangat kurang. Kata Kunci: Pemahaman konsep matematika, Problem Based Learning, Segitig

Early detection of ecosystem regime shifts: A multiple method evaluation for management application

Critical transitions between alternative stable states have been shown to occur across an array of complex systems. While our ability to identify abrupt regime shifts in natural ecosystems has improved, detection of potential early-warning signals previous to such shifts is still very limited. Using real monitoring data of a key ecosystem component, we here apply multiple early-warning indicators in order to assess their ability to forewarn a major ecosystem regime shift in the Central Baltic Sea. We show that some indicators and methods can result in clear early-warning signals, while other methods may have limited utility in ecosystem-based management as they show no or weak potential for early-warning. We therefore propose a multiple method approach for early detection of ecosystem regime shifts in monitoring data that may be useful in informing timely management actions in the face of ecosystem change

The comparison of macrobenthic recolonization patterns near and away from crab burrows on a sublittoral sand flat

This study assessed the influence of crab burrows (Macrophthalmus hirtipes) on localized patterns of macrobenthic colonization on a sand flat at 6 m depth in Otago Harbor, New Zealand. 150 m2 of surface sediments were artifically disturbed to simulate a storm and core samples were collected 2, 4, and 30 days later. At each time, samples were randomly collected near and away from crab burrows. A general pattern of high abundances away from burrows was apparent for most common taxa, number of taxa, number of individuals, and dominant polychaete feeding guilds. The differences in abundance near and away from burrows were evident over the three sampling occasions. On the basis of their potential for suspension and transport in the water column during a storm, individuals were allotted to two groups: movable and stationary. Significant trends of increasing abundance over time were found for the movable group, stationary group, and the total number of individuals in samples collected away from burrows. Samples collected near burrows showed a slight but nonsignificant decrease in abundance over time. Changes in the number of taxa over time were not significant, although a similar visual trend as observed for the total number of individuals was apparent. The same taxa were common near and away from burrows, but differences in abundance produced different patterns of colonization. The low abundances around burrows were attributed to the disturbance generated by crabs walking in and out of burrows. Generally the results reported in this study are similar to those which report the influence of ghost shrimps (Callianassa spp.) on macrofauna. This study also demonstrated that patterns of abundance near and away from burrows were maintained during recolonization after a simulated storm disturbance

Experimenting with ecosystem interaction networks in search of threshold potentials in real-world marine ecosystems

Thresholds profoundly affect our understanding and management of ecosystem dynamics, but we have yet to develop practical techniques to assess the risk that thresholds will be crossed. Combining ecological knowledge of critical system interdependencies with a large-scale experiment, we tested for breaks in the ecosystem interaction network to identify threshold potential in real-world ecosystem dynamics. Our experiment with the bivalves Macomona liliana and Austrovenus stutchburyi on marine sandflats in New Zealand demonstrated that reductions in incident sunlight changed the interaction network between sediment biogeochemical fluxes, productivity, and macrofauna. By demonstrating loss of positive feedbacks and changes in the architecture of the network, we provide mechanistic evidence that stressors lead to break points in dynamics, which theory predicts predispose a system to a critical transition

Effects of Polyester Microfibers on Microphytobenthos and Sediment-Dwelling Infauna

Microfibers often dominate sediment microplastic samples, but little is known about their ecological effects on benthic organisms and functions. Polyethylene terephthalate) (PET) microfibers were added to 36 sediment chambers at six concentrations (0-0.5 g kg-1 sediment) to assess the effects on microphytobenthos (MPB), a key deposit-feeding bivalve, Macomona liliana, and sediment nutrient pools. MPB photosynthesis was promoted in 18 chambers through a 12 h light/dark cycle. Another 18 chambers were maintained under dark conditions to inhibit photosynthesis. After 35 days of MPB growth and stabilization, four M. liliana were added to each chamber for a further 40 days. MPB biomass and composition were examined alongside M. liliana biochemical and behavioral properties and porewater dissolved inorganic nutrient concentrations. Increasing microfibers resulted in lower MPB biomass, fewer diatom-associated fatty acids (FAs), and an increase in cyanobacteria. The changes in MPB coincided with up to 75% lower energy reserves and reduced burrowing activity in M. liliana. In the light, nitrate + nitrate (NOx) was significantly elevated and related to M. liliana and MPB biochemical properties. Ammoniu (NH4+) concentrations increased but were variable in both the light and the dark. Our results suggest that increasing microfiber concentrations influence the interactions between M. liliana and MPB and affect biogeochemical processing in coastal marine sediments

Microplastics interact with benthic biostabilization processes

Funding: J A H would like to acknowledge funding from two anonymous philanthropic donors through the 'Oceans of Change' and the 'Microphytes & Microplastics' projects. G C was funded by MBIE Endeavour Research Programme; ID C03X1802; Impacts of microplastics on New Zealand. J A H and D R P would like to acknowledge partial funding from Horizon 2020 European Research Council Consolidator Award (GEOSTICK, Grant 725955).Marine microplastics (MPs) accumulate in sediments but impacts on ecosystem functions are poorly understood. MPs interactions with stabilizing benthic flora/fauna or biostabilization processes, have not been fully investigated, yet this is critical for unraveling MPs effects on ecosystem-scale processes and functions. This is also vital for understanding feedback processes that may moderate the stock and flow of MPs as they are transported through estuaries. The relationships between sedimentary MPs, biota, environmental properties and sediment stability from field sediments, were examined using variance partitioning (VP) and correlation analyses. VP was used to identify common and unique contributions of different groups of variables (environmental, fauna and microplastic variables) to sediment stability. The influence of microplastic presence (fragment/fiber abundances and microplastic diversity) on sediment stability (defined using erosion thresholds and erosion rates) was demonstrated. Furthermore, MPs appeared to mediate the biostabilizing effects of environmental properties (including microorganisms) and fauna. Environmental properties and sediment stability could also explain the variation in MPs across sites suggesting biostabilizing properties may mediate the abundance, type and diversity of MPs that accumulate in the bed. The potential for MPs to influence biota and biostabilization processes and mediate microplastic resuspension dynamics within estuaries is discussed.Publisher PDFPeer reviewe

Global Carbon Cycling on a Heterogeneous Seafloor

Diverse biological communities mediate the transformation, transport, and storage of elements fundamental to life on Earth, including carbon, nitrogen, and oxygen. However, global biogeochemical model outcomes can vary by orders of magnitude, compromising capacity to project realistic ecosystem responses to planetary changes, including ocean productivity and climate. Here, we compare global carbon turnover rates estimated using models grounded in biological versus geochemical theory and argue that the turnover estimates based on each perspective yield divergent outcomes. Importantly, empirical studies that include sedimentary biological activity vary less than those that ignore it. Improving the relevance of model projections and reducing uncertainty associated with the anticipated consequences of global change requires reconciliation of these perspectives, enabling better societal decisions on mitigation and adaptation.Peer reviewe

Seabed drag coefficient over natural beds of horse mussels (Atrina zelandica)

Measurements of seabed drag coefficient, C100, were made under tidal currents at four sites in Mahurangi Harbour, New Zealand. At the first three sites the dominant roughness element was the pinnid bivalve, Atrina zelandica (horse mussel). At the fourth site, which was devoid of horse mussels but covered in cockle shells, patches of seaweed and crab burrows, C100 was smallest (0.0055), but still twice as large as the value typically applied to abiotic, flat, cohesionless seabeds (0.0025). The mean drag coefficient plus-or-minus standard error at the three sites with horse mussels was: 0.0082 ± 0.0010 (site 1); 0.0096 ± 0.0009 (site 2); 0.0115 ± 0.0016 (site 3). There were no clear differences amongst sites 1, 2 and 3 in terms of the attributes of individual horse mussels (e.g. shell height, width or orientation), which could have been used to explain the ranking of the drag coefficients. There were, however, differences amongst the three sites in terms of spatial distribution of individual bivalves. The site with the highest density of horse mussels, site 1, had the lowest drag coefficient and an areal concentration (λ) of horse mussels higher than typical values cited for the critical concentration (λc) for the onset of skimming flow over various idealized, three-dimensional roughness elements. At sites 2 and 3, the drag coefficient was given by: C100=[κ/1n (300/mkλ)]2 which was valid for λ \u3c λ c, where κ is von Karman\u27s constant, k is the horse mussel height (i.e., protrusion above the seabed), m ≈ 100 and λc ≈ 0.2. The stable eddies that are hypothesized to lodge between roughness elements at concentrations greater than λc may influence benthic community dynamics

Tipping Points in Coastal Ecosystems

Change can happen fast in our coastal ecosystems and we often do not know what has been lost until it’s too late. Once ecological ‘tipping points’ are passed, it is difficult to reverse the state of the ecosystem.1 Often these changes creep up on us because they are caused by the cumulative impact of multiple stressors. These changes in ecosystems mean we can lose important ecosystem functions that underpin many of the things we value about out coastal ecosystems. One of the key challenges of ecosystem-based management (EBM) is therefore to identify what combination of stressors are likely to cause threshold changes and what parts of the ecosystem are most likely to be affected. A multi-institutional team of scientists from across New Zealand is conducting the science to assess the risk of passing these ‘tipping points’ in estuaries before they happen