9 research outputs found
Reliability And Practical Aspects Of The Disease Impact Measure On Hypertensive Patients [confiabilidade E Aspectos Práticos Da Medida De Impacto Da Doença Em Pacientes Hipertensos]
No full textObjective: To evaluate the feasibility, acceptability, the ceiling and floor effects and the reliability of the Instrument to Measure the Impact of Coronary Disease on Patient's Daily Life (IDCV) when applied to hypertensive patients. Method: One hundred and thirty seven hypertensive outpatients were interviewed, using questionnaires to collect sociodemographic and clinical data, followed by the IDCV. Reliability was assessed according to the temporal stability and internal consistency criteria. Results: The IDCV was applied in 8.0 (±3.0) minutes with 100% of the items answered. A ceiling effect of 31.4% was observed in the domain Adjustment to the Disease. The stability measure was observed for the total score and for all domains. There was evidence of internal consistency of the total IDCV (α=0.83) and the domains Physical Impact of the Disease - Symptoms (α=0.78) and Social and Emotional Impact of the Disease (α=0.74). Conclusion: The IDCV is an instrument of easy use and its reliability among hypertensive patients is evidenced. The domain Adjustment to the Disease, however, should be reviewed in further studies. © 2013 Revista Latino-Americana de Enfermagem.21612581265Chobanian, A.V., Improved hypertension Control: Cause for some celebration (2010) JAMA., 303 (20), pp. 2082-2083Costa, J.V., Silva, A.R.V., Moura, I.H., Carvalho, R.B.N., Bernardes, L.E., Almeida, P.C., An analysis of risk factors for arterial hypertension in adolescent students (2012) Rev. Latino-Am. Enfermagem, 20 (2), pp. 289-295. , mar-abrVI Diretrizes Brasileiras de Hipertensão Arterial (2010) Rev Bras Hipertens., 17 (1), pp. 7-10. , Sociedade Brasileira de Cardiologia(2011) Datasus. Morbidade Hospitalar do SUS por local de internação [Internet], , http://tabnet.datasus.gov.br/cgi/tabnet.exe?idb2011/g02.def, Ministério da Saúde (BR)., Ministério da Saúde, [acesso 10 jun 2013]. Disponível emPilger, C., Menon, M.H., Mathias, T.A.F., Socio-demographic and health characteristics of elderly individuals: Support for health services (2011) Rev. Latino-Am. Enfermagem, 19 (5), pp. 1230-1238. , set-outPalhares, L.C., Gallani, M.C., Gemignani, T., Matos-Souza, J.R., Ubaid-Girioli, S., Moreno Jr., H., Quality of life, dyspnea and ventricular function in patients with hypertension (2010) J Adv Nurs., 66 (10), pp. 2287-2296Wang, R., Zhao, Y., Heb, X., Maa, X., Yana, X., Sun, Y., Impact of hypertension on health-related quality of life in a population-based study in Shanghai (2009) China Public Health., 123, pp. 534-539Zygmuntowicz, M., Owczarek, A., Elibol, A., Chudek, J., Comorbidities and the quality of life in hypertensive patients (2012) Pol Arch Med Wewn., 122 (7-8), pp. 333-340Roca-Cusachs, A., Ametla, J., Calero, S., Comas, O., Fernández, M., Lospaus, R., Calidad de vida en la hipertensión arterial (1992) Med Clin., 98, pp. 486-490Badia, X., Roca-Cusachs, A., Dalfó, A., Gascón, G., Abellán, J., Lahoz, R., Validation of the short form of the Spanish hypertension Quality of Life Questionnaire (MINICHAL) (2002) Clin Ther., 24 (12), pp. 2137-2154Tavares, D.M.S., Martins, N.P.F., Dias, F.A., Diniz, M.A., Qualidade de Vida em Idosos com e sem hipertensão arterial (2011) Rev Eletr Enferm. [Internet], 13 (2). , http://www.fen.ufg.br/revista/v13/n2/v13n2a07.htm, [acesso 15 ago 2011], Disponível emMuszalik, M., Dijkstra, A., Kedziora-Kornatowska, K., Zielisnka-Wieczkowska, H., Kornatowski, T., Independence of elderly patients with arterial hypertension in fulfilling their needs, in the aspect functional assessment and quality of life (QoL) (2011) Arch Gerontol Geriatrics., 52, pp. 204-209Padilha, K.M., Gallani, M.G.B.J., Colombo, R.C.R., Validity of an instrument to measure the impact of valve heart disease on the patient's daily life (2007) J Clin Nurs., 16 (7), pp. 1285-1291Padilha, K.M., Gallani, M.C.B.J., Colombo, R.C.R., Development of an instrument to measure beliefs and attitudes from heart valve disease patients (2004) Rev. Latino-Am. Enfermagem, 2, pp. 453-459Santos, R.A.B., Rodrigues, R.C.M., Padilha, K.M., Rodrigues, S.L.L., Spana, T.M., Gallani, M.C.B.J., Validation of an instrument to measure the impact of coronary disease on patient's daily life (2012) J Clin Nurs., 21 (3-4), pp. 485-494Mokkink, L.B., Terwee, C.B., Patrick, D.L., Alonso, J., Stratford, P.W., Knol, D.L., The COSMIN study reached international consensus on taxonomy, terminology, and definitions of measurement properties for health-related patient-reported outcomes (2010) J Clin Epidemiol., 63 (7), pp. 737-745Bennett, S.J., Oldridge, N.B., Eckert, G.J., Embree, J., Browning, S., Hou, N., Discriminant properties of commonly used quality of life measures in heart failure (2002) Qual Life Res., 11 (4), pp. 349-359McHorney, C.A., Ware, J.E., Lu, J.F.R., Sherbourne, C.D., The MOS 36-item short-form health survey (SF-36): Tests of data quality, scaling assumptions and reliability across diverse patient groups (1994) Med Care., 32, pp. 40-66Nunnally, J.C., (1978) Psychometric Theory, p. 701. , New York: McGraw-HillFayers, P.M., McHin, D., (2007) Quality of life: Assessment, analysis and interpretation, p. 544. , England: John WileyEurich, D.T., Johnson, J.A., Reid, K.J., Spertus, J.A., Assessing responsiveness of generic and specific health related quality of life measures in heart failure (2006) Health Qual Life Outcomes., 24 (4), p. 89Fries, J., Rose, M., Krishnan, E., The PROMIS of better outcome assessment: Responsiveness, floor and ceiling effects, and Internet administration (2011) J Rheumatol., 38 (8), pp. 1759-176
A quantitative comparison between the mHand Adapt passive adjustable hand prosthesis and its predecessor, the Delft Self-Grasping Hand
No full textIntroductionThe Delft Self-Grasping Hand (SGH) is an adjustable passive hand prosthesis that relies on wrist flexion to adjust the aperture of its grasp. The mechanism requires engagement of the contralateral hand meaning that hand is not available for other tasks. A commercialised version of this prosthesis, known as the mHand Adapt, includes a new release mechanism, which avoids the need to press a release button, and changes to the hand shape. This study is the first of its kind to compare two passive adjustable hand prostheses on the basis of quantitative scoring and contralateral hand involvement.Methods10 anatomically intact participants were asked to perform the Southampton Hand Assessment Procedure (SHAP) with the mHand. Functionality and contralateral hand involvement were recorded and compared against SGH data originating from a previous trial involving a nearly identical testing regime.ResultsmHand exhibited higher functionality scores and less contralateral hand interaction time, especially during release-aiding interactions. Additionally, a wider range of tasks could be completed using the mHand than the SGH.DiscussionGeometric changes make the mHand more capable of manipulating smaller objects. The altered locking mechanism means some tasks can be performed without any contralateral hand involvement and a higher number of tasks do not require contralateral involvement when releasing. Some participants struggled with achieving a good initial grip due to the inability to tighten the grasp once already formed.ConclusionThe mHand offers the user higher functionality scores with less contralateral hand interaction time and the ability to perform a wider range of tasks. However, there are some design trade-offs which may make it slightly harder to learn to use.Medical Instruments & Bio-Inspired Technolog
Estimation of the maximum annual number of North Atlantic tropical cyclones using climate models
No full textUsing millennia-long climate model simulations, favorable environments for tropical cyclone formation are examined to determine whether the record number of tropical cyclones in the 2005 Atlantic season is close to the maximum possible number for the present climate of that basin. By estimating both the mean number of tropical cyclones and their possible year-to-year random variability, we find that the likelihood that the maximum number of storms in the Atlantic could be greater than the number of events observed during the 2005 season is less than 3.5%. Using a less restrictive comparison between simulated and observed climate with the internal variability accounted for, this probability increases to 9%; however, the estimated maximum possible number of tropical cyclones does not greatly exceed the 2005 total. Hence, the 2005 season can be used as a risk management benchmark for the maximum possible number of tropical cyclones in the Atlantic.This work was funded by the Bermuda Institute of Ocean Sciences’ Risk Prediction Initiative (RPI). L.-P.C.’s contract is cofinanced by the Ministerio de Economı́a y Competitividad (MINECO) under Juan de la Cierva Incorporacion postdoctoral fellowship number IJCI-2015-23367. This research was partially supported through funding from the Earth System and Climate Change Hub of the Australia’s National Environmental Science Programme. L.-P.C. acknowledges financial
support from MINECO (project CGL2015-70353-R). Author contributions: K.J.E.W. and L.-P.C. designed the research. S.L.L., K.J.E.W., M.K., and S.M. performed the analysis with input from L.-P.C., B.H., and M.G. The CSIRO Mk2 and EC-Earth data were made available by B.H. and Q.Z., respectively. S.L.L. wrote the article with input from all living authors. Competing interests: The authors declare that they have no competing interests. Data and materials availability: Datasets used in this report can be made available upon request from the lead and second authors. In addition, these data are archived by RPI. The MRI data were available from the database for Policy Decision Making for Future Climate Change (d4PDF), which was produced under the SOUSEI program. EC-Earth simulation was performed on resources provided by the Swedish National Infrastructure for Computing (SNIC) at Linköping University and ECMWF’s computing and archive facilities.Peer ReviewedPostprint (published version
Estimation of the maximum annual number of North Atlantic tropical cyclones using climate models
No full textUsing millennia-long climate model simulations, favorable environments for tropical cyclone formation are examined to determine whether the record number of tropical cyclones in the 2005 Atlantic season is close to the maximum possible number for the present climate of that basin. By estimating both the mean number of tropical cyclones and their possible year-to-year random variability, we find that the likelihood that the maximum number of storms in the Atlantic could be greater than the number of events observed during the 2005 season is less than 3.5%. Using a less restrictive comparison between simulated and observed climate with the internal variability accounted for, this probability increases to 9%; however, the estimated maximum possible number of tropical cyclones does not greatly exceed the 2005 total. Hence, the 2005 season can be used as a risk management benchmark for the maximum possible number of tropical cyclones in the Atlantic.This work was funded by the Bermuda Institute of Ocean Sciences’ Risk Prediction Initiative (RPI). L.-P.C.’s contract is cofinanced by the Ministerio de Economı́a y Competitividad (MINECO) under Juan de la Cierva Incorporacion postdoctoral fellowship number IJCI-2015-23367. This research was partially supported through funding from the Earth System and Climate Change Hub of the Australia’s National Environmental Science Programme. L.-P.C. acknowledges financial
support from MINECO (project CGL2015-70353-R). Author contributions: K.J.E.W. and L.-P.C. designed the research. S.L.L., K.J.E.W., M.K., and S.M. performed the analysis with input from L.-P.C., B.H., and M.G. The CSIRO Mk2 and EC-Earth data were made available by B.H. and Q.Z., respectively. S.L.L. wrote the article with input from all living authors. Competing interests: The authors declare that they have no competing interests. Data and materials availability: Datasets used in this report can be made available upon request from the lead and second authors. In addition, these data are archived by RPI. The MRI data were available from the database for Policy Decision Making for Future Climate Change (d4PDF), which was produced under the SOUSEI program. EC-Earth simulation was performed on resources provided by the Swedish National Infrastructure for Computing (SNIC) at Linköping University and ECMWF’s computing and archive facilities.Peer Reviewe
Consistent patterns of common species across tropical tree communities
No full textD.L.M.C. was supported by the London Natural Environmental Research Council Doctoral Training Partnership grant (grant no. NE/L002485/1). This paper developed from analysing data from the African Tropical Rainforest Observatory Network (AfriTRON), curated at ForestPlots.net. AfriTRON has been supported by numerous people and grants since its inception. We sincerely thank the people of the many villages and local communities who welcomed our field teams and without whose support this work would not have been possible. Grants that have funded the AfriTRON network, including data in this paper, are a European Research Council Advanced Grant (T-FORCES; 291585; Tropical Forests in the Changing Earth System), a NERC standard grant (NER/A/S/2000/01002), a Royal Society University Research Fellowship to S.L.L., a NERC New Investigators Grant to S.L.L., a Philip Leverhulme Award to S.L.L., a European Union FP7 grant (GEOCARBON; 283080), Leverhulme Program grant (Valuing the Arc); a NERC Consortium Grant (TROBIT; NE/D005590/), NERC Large Grant (CongoPeat; NE/R016860/1) the Gordon and Betty Moore Foundation the David and Lucile Packard Foundation, the Centre for International Forestry Research (CIFOR), and Gabon’s National Parks Agency (ANPN). This paper was supported by ForestPlots.net approved Research Project 81, ‘Comparative Ecology of African Tropical Forests’. The development of ForestPlots.net and data curation has been funded by several grants, including NE/B503384/1, NE/N012542/1, ERC Advanced Grant 291585—‘T-FORCES’, NE/F005806/1, NERC New Investigators Awards, the Gordon and Betty Moore Foundation, a Royal Society University Research Fellowship and a Leverhulme Trust Research Fellowship. Fieldwork in the Democratic Republic of the Congo (Yangambi and Yoko sites) was funded by the Belgian Science Policy Office BELSPO (SD/AR/01A/COBIMFO, BR/132/A1/AFRIFORD, BR/143/A3/HERBAXYLAREDD, FED-tWIN2019-prf-075/CongoFORCE, EF/211/TREE4FLUX); by the Flemish Interuniversity Council VLIR-UOS (CD2018TEA459A103, FORMONCO II); by L’Académie de recherche et d’enseignement supérieur ARES (AFORCO project) and by the European Union through the FORETS project (Formation, Recherche, Environnement dans la TShopo) supported by the XIth European Development Fund. EMV was supported by fellowship from the CNPq (Grant 308543/2021-1). RAPELD plots in Brazil were supported by the Program for Biodiversity Research (PPBio) and the National Institute for Amazonian Biodiversity (INCT-CENBAM). BGL post-doc grant no. 2019/03379-4, São Paulo Research Foundation (FAPESP). D.A.C. was supported by the CCI Collaborative fund. Plots in Mato Grosso, Brazil, were supported by the National Council for Scientific and Technological Development (CNPq), PELD-TRAN 441244/2016-5 and 441572/2020-0, and Mato Grosso State Research Support Foundation (FAPEMAT)—0346321/2021. We thank E. Chezeaux, R. Condit, W. J. Eggeling, R. M. Ewers, O. J. Hardy, P. Jeanmart, K. L. Khoon, J. L. Lloyd, A. Marjokorpi, W. Marthy, H. Ntahobavuka, D. Paget, J. T. A. Proctor, R. P. Salomão, P. Saner, S. Tan, C. O. Webb, H. Woell and N. Zweifel for contributing forest inventory data. We thank numerous field assistants for their invaluable contributions to the collection of forest inventory data, including A. Nkwasibwe, ITFC field assistant.Peer reviewe
CROSS-COMPLIANCE Facilitating the CAP reform: Compliance and competitiveness of European agriculture Specific Targeted Research or Innovation Project (STREP) Integrating and Strengthening the European Research Area : Deliverable 13 : Product-based assessments to link compliance to standards at farm level to competitiveness
No full textThis report summarizes the main results from the Cross-Compliance project The core aim of this EU funded research project is to analyse the external competitiveness impact arising from an improvement in the level of compliance with mandatory standard
Co-limitation towards lower latitudes shapes global forest diversity gradients
No full textFunding Information: The team collaboration and manuscript development are supported by the web-based team science platform: science-i.org, with the project number 202205GFB2. We thank the following initiatives, agencies, teams and individuals for data collection and other technical support: the Global Forest Biodiversity Initiative (GFBI) for establishing the data standards and collaborative framework; United States Department of Agriculture, Forest Service, Forest Inventory and Analysis (FIA) Program; University of Alaska Fairbanks; the SODEFOR, Ivory Coast; University Félix Houphouët-Boigny (UFHB, Ivory Coast); the Queensland Herbarium and past Queensland Government Forestry and Natural Resource Management departments and staff for data collection for over seven decades; and the National Forestry Commission of Mexico (CONAFOR). We thank M. Baker (Carbon Tanzania), together with a team of field assistants (Valentine and Lawrence); all persons who made the Third Spanish Forest Inventory possible, especially the main coordinator, J. A. Villanueva (IFN3); the French National Forest Inventory (NFI campaigns (raw data 2005 and following annual surveys, were downloaded by GFBI at https://inventaire-forestier.ign.fr/spip.php?rubrique159 ; site accessed on 1 January 2015)); the Italian Forest Inventory (NFI campaigns raw data 2005 and following surveys were downloaded by GFBI at https://inventarioforestale.org/ ; site accessed on 27 April 2019); Swiss National Forest Inventory, Swiss Federal Institute for Forest, Snow and Landscape Research WSL and Federal Office for the Environment FOEN, Switzerland; the Swedish NFI, Department of Forest Resource Management, Swedish University of Agricultural Sciences SLU; the National Research Foundation (NRF) of South Africa (89967 and 109244) and the South African Research Chair Initiative; the Danish National Forestry, Department of Geosciences and Natural Resource Management, UCPH; Coordination for the Improvement of Higher Education Personnel of Brazil (CAPES, grant number 88881.064976/2014-01); R. Ávila and S. van Tuylen, Instituto Nacional de Bosques (INAB), Guatemala, for facilitating Guatemalan data; the National Focal Center for Forest condition monitoring of Serbia (NFC), Institute of Forestry, Belgrade, Serbia; the Thünen Institute of Forest Ecosystems (Germany) for providing National Forest Inventory data; the FAO and the United Nations High Commissioner for Refugees (UNHCR) for undertaking the SAFE (Safe Access to Fuel and Energy) and CBIT-Forest projects; and the Amazon Forest Inventory Network (RAINFOR), the African Tropical Rainforest Observation Network (AfriTRON) and the ForestPlots.net initiative for their contributions from Amazonian and African forests. The Natural Forest plot data collected between January 2009 and March 2014 by the LUCAS programme for the New Zealand Ministry for the Environment are provided by the New Zealand National Vegetation Survey Databank https://nvs.landcareresearch.co.nz/. We thank the International Boreal Forest Research Association (IBFRA); the Forestry Corporation of New South Wales, Australia; the National Forest Directory of the Ministry of Environment and Sustainable Development of the Argentine Republic (MAyDS) for the plot data of the Second National Forest Inventory (INBN2); the National Forestry Authority and Ministry of Water and Environment of Uganda for their National Biomass Survey (NBS) dataset; and the Sabah Biodiversity Council and the staff from Sabah Forest Research Centre. All TEAM data are provided by the Tropical Ecology Assessment and Monitoring (TEAM) Network, a collaboration between Conservation International, the Missouri Botanical Garden, the Smithsonian Institution and the Wildlife Conservation Society, and partially funded by these institutions, the Gordon and Betty Moore Foundation and other donors, with thanks to all current and previous TEAM site manager and other collaborators that helped collect data. We thank the people of the Redidoti, Pierrekondre and Cassipora village who were instrumental in assisting with the collection of data and sharing local knowledge of their forest and the dedicated members of the field crew of Kabo 2012 census. We are also thankful to FAPESC, SFB, FAO and IMA/SC for supporting the IFFSC. This research was supported in part through computational resources provided by Information Technology at Purdue, West Lafayette, Indiana.This work is supported in part by the NASA grant number 12000401 ‘Multi-sensor biodiversity framework developed from bioacoustic and space based sensor platforms’ (J. Liang, B.P.); the USDA National Institute of Food and Agriculture McIntire Stennis projects 1017711 (J. Liang) and 1016676 (M.Z.); the US National Science Foundation Biological Integration Institutes grant NSF‐DBI‐2021898 (P.B.R.); the funding by H2020 VERIFY (contract 776810) and H2020 Resonate (contract 101000574) (G.-J.N.); the TEAM project in Uganda supported by the Moore foundation and Buffett Foundation through Conservation International (CI) and Wildlife Conservation Society (WCS); the Danish Council for Independent Research | Natural Sciences (TREECHANGE, grant 6108-00078B) and VILLUM FONDEN grant number 16549 (J.-C.S.); the Natural Environment Research Council of the UK (NERC) project NE/T011084/1 awarded to J.A.-G. and NE/ S011811/1; ERC Advanced Grant 291585 (‘T-FORCES’) and a Royal Society-Wolfson Research Merit Award (O.L.P.); RAINFOR plots supported by the Gordon and Betty Moore Foundation and the UK Natural Environment Research Council, notably NERC Consortium Grants ‘AMAZONICA’ (NE/F005806/1), ‘TROBIT’ (NE/D005590/1) and ‘BIO-RED’ (NE/N012542/1); CIFOR’s Global Comparative Study on REDD+ funded by the Norwegian Agency for Development Cooperation, the Australian Department of Foreign Affairs and Trade, the European Union, the International Climate Initiative (IKI) of the German Federal Ministry for the Environment, Nature Conservation, Building and Nuclear Safety and the CGIAR Research Program on Forests, Trees and Agroforestry (CRP-FTA) and donors to the CGIAR Fund; AfriTRON network plots funded by the local communities and NERC, ERC, European Union, Royal Society and Leverhume Trust; a grant from the Royal Society and the Natural Environment Research Council, UK (S.L.L.); National Science Foundation CIF21 DIBBs: EI: number 1724728 (A.C.C.); National Natural Science Foundation of China (31800374) and Shandong Provincial Natural Science Foundation (ZR2019BC083) (H.L.). UK NERC Independent Research Fellowship (grant code: NE/S01537X/1) (T.J.); a Serra-Húnter Fellowship provided by the Government of Catalonia (Spain) (S.d.-M.); the Brazilian National Council for Scientific and Technological Development (CNPq, grant 442640/2018-8, CNPq/Prevfogo-Ibama number 33/2018) (C.A.S.); a grant from the Franklinia Foundation (D.A.C.); Russian Science Foundation project number 19-77-300-12 (R.V.); the Takenaka Scholarship Foundation (A.O.A.); the German Research Foundation (DFG), grant number Am 149/16-4 (C.A.); the Romania National Council for Higher Education Funding, CNFIS, project number CNFIS-FDI-2022-0259 (O.B.); Natural Sciences and Engineering Research Council of Canada (RGPIN-2019-05109 and STPGP506284) and the Canadian Foundation for Innovation (36014) (H.Y.H.C.); the project SustES—Adaptation strategies for sustainable ecosystem services and food security under adverse environmental conditions (CZ.02.1.01/0.0/0.0/16_019/0000797) (E.C.); Consejo de Ciencia y Tecnología del estado de Durango (2019-01-155) (J.J.C.-R.); Science and Engineering Research Board (SERB), New Delhi, Government of India (file number PDF/2015/000447)—‘Assessing the carbon sequestration potential of different forest types in Central India in response to climate change ’ (J.A.D.); Investissement d’avenir grant of the ANR (CEBA: ANR-10-LABEX-0025) (G.D.); National Foundation for Science & Technology Development of Vietnam, 106-NN.06-2013.01 (T.V.D.); Queensland government, Department of Environment and Science (T.J.E.); a Czech Science Foundation Standard grant (19-14620S) (T.M.F.); European Union Seventh Framework Program (FP7/2007–2013) under grant agreement number 265171 (L. Finer, M. Pollastrini, F. Selvi); grants from the Swedish National Forest Inventory, Swedish University of Agricultural Sciences (J.F.); CNPq productivity grant number 311303/2020-0 (A.L.d.G.); DFG grant HE 2719/11-1,2,3; HE 2719/14-1 (A. Hemp); European Union’s Horizon Europe research project OpenEarthMonitor grant number 101059548, CGIAR Fund INIT-32-MItigation and Transformation Initiative for GHG reductions of Agrifood systems RelaTed Emissions (MITIGATE+) (M.H.); General Directorate of the State Forests, Poland (1/07; OR-2717/3/11; OR.271.3.3.2017) and the National Centre for Research and Development, Poland (BIOSTRATEG1/267755/4/NCBR/2015) (A.M.J.); Czech Science Foundation 18-10781 S (S.J.); Danish of Ministry of Environment, the Danish Environmental Protection Agency, Integrated Forest Monitoring Program—NFI (V.K.J.); State of São Paulo Research Foundation/FAPESP as part of the BIOTA/FAPESP Program Project Functional Gradient-PELD/BIOTA-ECOFOR 2003/12595-7 & 2012/51872-5 (C.A.J.); Danish Council for Independent Research—social sciences—grant DFF 6109–00296 (G.A.K.); Russian Science Foundation project 21-46-07002 for the plot data collected in the Krasnoyarsk region (V.K.); BOLFOR (D.K.K.); Department of Biotechnology, New Delhi, Government of India (grant number BT/PR7928/NDB/52/9/2006, dated 29 September 2006) (M.L.K.); grant from Kenya Coastal Development Project (KCDP), which was funded by World Bank (J.N.K.); Korea Forest Service (2018113A00-1820-BB01, 2013069A00-1819-AA03, and 2020185D10-2022-AA02) and Seoul National University Big Data Institute through the Data Science Research Project 2016 (H.S.K.); the Brazilian National Council for Scientific and Technological Development (CNPq, grant 442640/2018-8, CNPq/Prevfogo-Ibama number 33/2018) (C.K.); CSIR, New Delhi, government of India (grant number 38(1318)12/EMR-II, dated: 3 April 2012) (S.K.); Department of Biotechnology, New Delhi, government of India (grant number BT/ PR12899/ NDB/39/506/2015 dated 20 June 2017) (A.K.); Coordination for the Improvement of Higher Education Personnel (CAPES) #88887.463733/2019-00 (R.V.L.); National Natural Science Foundation of China (31800374) (H.L.); project of CEPF RAS ‘Methodological approaches to assessing the structural organization and functioning of forest ecosystems’ (AAAA-A18-118052590019-7) funded by the Ministry of Science and Higher Education of Russia (N.V.L.); Leverhulme Trust grant to Andrew Balmford, Simon Lewis and Jon Lovett (A.R.M.); Russian Science Foundation, project 19-77-30015 for European Russia data processing (O.M.); grant from Kenya Coastal Development Project (KCDP), which was funded by World Bank (M.T.E.M.); the National Centre for Research and Development, Poland (BIOSTRATEG1/267755/4/NCBR/2015) (S.M.); the Secretariat for Universities and of the Ministry of Business and Knowledge of the Government of Catalonia and the European Social Fund (A. Morera); Queensland government, Department of Environment and Science (V.J.N.); Pinnacle Group Cameroon PLC (L.N.N.); Queensland government, Department of Environment and Science (M.R.N.); the Natural Sciences and Engineering Research Council of Canada (RGPIN-2018-05201) (A.P.); the Russian Foundation for Basic Research, project number 20-05-00540 (E.I.P.); European Union’s Horizon 2020 research and innovation programme under the Marie Skłodowska-Curie grant agreement number 778322 (H.P.); Science and Engineering Research Board, New Delhi, government of India (grant number YSS/2015/000479, dated 12 January 2016) (P.S.); the Chilean Government research grants Fondecyt number 1191816 and FONDEF number ID19 10421 (C.S.-E.); the Deutsche Forschungsgemeinschaft (DFG) Priority Program 1374 Biodiversity Exploratories (P.S.); European Space Agency projects IFBN (4000114425/15/NL/FF/gp) and CCI Biomass (4000123662/18/I-NB) (D. Schepaschenko); FunDivEUROPE, European Union Seventh Framework Programme (FP7/2007–2013) under grant agreement number 265171 (M.S.-L.); APVV 20-0168 from the Slovak Research and Development Agency (V.S.); Manchester Metropolitan University’s Environmental Science Research Centre (G.S.); the project ‘LIFE+ ForBioSensing PL Comprehensive monitoring of stand dynamics in Białowieża Forest supported with remote sensing techniques’ which is co-funded by the EU Life Plus programme (contract number LIFE13 ENV/PL/000048) and the National Fund for Environmental Protection and Water Management in Poland (contract number 485/2014/WN10/OP-NM-LF/D) (K.J.S.); Global Challenges Research Fund (QR allocation, MMU) (M.J.P.S.); Czech Science Foundation project 21-27454S (M.S.); the Russian Foundation for Basic Research, project number 20-05-00540 (N. Tchebakova); Botanical Research Fund, Coalbourn Trust, Bentham Moxon Trust, Emily Holmes scholarship (L.A.T.); the programmes of the current scientific research of the Botanical Garden of the Ural Branch of Russian Academy of Sciences (V.A.U.); FCT—Portuguese Foundation for Science and Technology—Project UIDB/04033/2020. Inventário Florestal Nacional—ICNF (H. Viana); Grant from Kenya Coastal Development Project (KCDP), which was funded by World Bank (C.W.); grants from the Swedish National Forest Inventory, Swedish University of Agricultural Sciences (B.W.); ATTO project (grant number MCTI-FINEP 1759/10 and BMBF 01LB1001A, 01LK1602F) (F.W.); ReVaTene/PReSeD-CI 2 is funded by the Education and Research Ministry of Côte d’Ivoire, as part of the Debt Reduction-Development Contracts (C2Ds) managed by IRD (I.C.Z.-B.); the National Research Foundation of South Africa (NRF, grant 89967) (C.H.). The Tropical Plant Exploration Group 70 1 ha plots in Continental Cameroon Mountains are supported by Rufford Small Grant Foundation, UK and 4 ha in Sierra Leone are supported by the Global Challenge Research Fund through Manchester Metropolitan University, UK; the National Geographic Explorer Grant, NGS-53344R-18 (A.C.-S.); University of KwaZulu-Natal Research Office grant (M.J.L.); Universidad Nacional Autónoma de México, Dirección General de Asuntos de Personal Académico, Grant PAPIIT IN-217620 (J.A.M.). Czech Science Foundation project 21-24186M (R.T., S. Delabye). Czech Science Foundation project 20-05840Y, the Czech Ministry of Education, Youth and Sports (LTAUSA19137) and the long-term research development project of the Czech Academy of Sciences no. RVO 67985939 (J.A.). The American Society of Primatologists, the Duke University Graduate School, the L.S.B. Leakey Foundation, the National Science Foundation (grant number 0452995) and the Wenner-Gren Foundation for Anthropological Research (grant number 7330) (M.B.). Research grants from Conselho Nacional de Desenvolvimento Científico e Tecnologico (CNPq, Brazil) (309764/2019; 311303/2020) (A.C.V., A.L.G.). The Project of Sanya Yazhou Bay Science and Technology City (grant number CKJ-JYRC-2022-83) (H.-F.W.). The Ugandan NBS was supported with funds from the Forest Carbon Partnership Facility (FCPF), the Austrian Development Agency (ADC) and FAO. FAO’s UN-REDD Program, together with the project on ‘Native Forests and Community’ Loan BIRF number 8493-AR UNDP ARG/15/004 and the National Program for the Protection of Native Forests under UNDP funded Argentina’s INBN2. Publisher Copyright: © 2022, The Author(s), under exclusive licence to Springer Nature Limited.Peer reviewe
Consistent patterns of common species across tropical tree communities.
No full textTrees structure the Earth's most biodiverse ecosystem, tropical forests. The vast number of tree species presents a formidable challenge to understanding these forests, including their response to environmental change, as very little is known about most tropical tree species. A focus on the common species may circumvent this challenge. Here we investigate abundance patterns of common tree species using inventory data on 1,003,805 trees with trunk diameters of at least 10 cm across 1,568 locations1-6 in closed-canopy, structurally intact old-growth tropical forests in Africa, Amazonia and Southeast Asia. We estimate that 2.2%, 2.2% and 2.3% of species comprise 50% of the tropical trees in these regions, respectively. Extrapolating across all closed-canopy tropical forests, we estimate that just 1,053 species comprise half of Earth's 800 billion tropical trees with trunk diameters of at least 10 cm. Despite differing biogeographic, climatic and anthropogenic histories7, we find notably consistent patterns of common species and species abundance distributions across the continents. This suggests that fundamental mechanisms of tree community assembly may apply to all tropical forests. Resampling analyses show that the most common species are likely to belong to a manageable list of known species, enabling targeted efforts to understand their ecology. Although they do not detract from the importance of rare species, our results open new opportunities to understand the world's most diverse forests, including modelling their response to environmental change, by focusing on the common species that constitute the majority of their trees
Guidelines for tolerance and acceptance of diversity in higher education.
No full textEstas Guías para la tolerancia y la aceptación de la diversidad en la educación superior, constituyen una valiosa herramienta para la comunidad educativa en aras de lograr un espacio de convivencia y crecimiento inclusivo y enriquecedor. La obra está compuesta por 10 guías sobre otros tantos temas de importancia para las comunidades universitarias en América Latina. Los temas fueron escogidos por el equipo del paquete de trabajo 5, llamado Apoya, del proyecto de investigación, cofinanciado por el programa Erasmus+ de la Unión Europea, ACACIA (561754-EPP-1-2015-1-CO-EPPKA2-CBHE-JP). Cada guía presenta el problema que trata, incluyendo un glosario, caracterización de los actores, orientaciones para la detección y trato, es decir, pautas para reconocer cuándo una persona, alumno, docente o personal administrativo y técnico de la Universidad está pasando por tal situación y cómo tratarlo, así como qué hacer una vez se ha detectado el caso; orientaciones curriculares o cómo tratar el tema cuando se está impartiendo alguna materia de cualquier tipo, cómo incluirlo incluso en materias que pueden parecer muy desconectadas como puede ser el caso de materias técnicas. Incluyen también, en la mayoría de los casos, un cuestionario para la valoración de la actitud hacia la cuestión tratada. El objetivo principal de todas y cada una de las guías aquí recogidas es, como su título indica, mejorar el grado de tolerancia y aceptación de la diversidad en la comunidad universitaria. La tolerancia, entendida como el respeto, la aceptación y el aprecio de la rica diversidad de las culturas de nuestro mundo, de nuestras formas de expresión y medios de ser humanos, pero nunca como concesión, condescendencia o indulgencia; ni mucho menos como una invitación a renegar de las creencias o convicciones propias. Los temas aquí tratados son tan variados como el de la intolerancia religiosa, que afecta cada vez en mayor medida a los países según van creciendo las migraciones; la intolerancia hacia la diversidad sexual y hacia la diversidad étnica y cultural; la discapacidad, para facilitar la comprensión y por ende la inclusión de las personas, incluso con problemas psicosociales, eliminando barreras físicas, comunicacionales y mentales; el acoso sexual, la violencia de género y la violencia intrafamiliar; así como el conflicto armado que ha marcado la situación social de muchos de nuestros países en América Latina. Cada documento, cada guía, constituye un capítulo de este libro y fue elaborada partiendo del trabajo de uno o más miembros del paquete Apoya actuando como líderes de autoría, para después ser revisadas por todo el equipo y, por tanto, contamos a todos sus miembros como autores colaboradores de cada una de las guías. Por ello se trata de una obra colaborativa que tiene en cuenta la perspectiva de los once países que participan en el proyecto, pero muy especialmente las circunstancias y necesidades de aquellos en los que se han creado CADEP Acacia en la América Hispana. Esta es, por tanto, una obra con un propósito transformador. Las Guías para la tolerancia y la aceptación de la diversidad en la educación superior son un recurso imprescindible para que la comunidad universitaria sea más integradora y menos segregadora, facilitando de esta manera mejorar el nivel académico y reducir la deserción universitaria ya que los aspectos emocionales son factores determinantes para garantizar la conclusión de los estudios y el desarrollo de una carrera exitosa, sin mencionar que la tolerancia y la aceptación de la diversidad por parte de la comunidad universitaria supone una garantía de mejora general de nuestra sociedad.These Guidelines for tolerance and acceptance of diversity in higher education constitute a valuable tool for the educational community in order to achieve a space for inclusive and enriching coexistence and growth. The work is composed of 10 guidelines on ten topics of importance for university communities in Latin America. The topics were chosen by the team of work package 5, called Apoyo, of the research project co-financed by the Erasmus+ program of the European Union, ACACIA (561754-EPP-1-2015-1-CO-EPPKA2-CBHE-JP). Each guide presents the problem it deals with, including a glossary, characterization of the actors, guidelines for detection and treatment, that is, guidelines for recognizing when a person, student, teacher or administrative and technical staff of the University is going through such a situation and how to deal with it, as well as what to do once the case has been detected; curricular guidelines or how to deal with the subject when teaching a subject of any kind, how to include it even in subjects that may seem very disconnected, such as technical subjects. They also include, in most cases, a questionnaire to assess the attitude towards the issue being dealt with. The main objective of each and every one of the guides collected here is, as its title indicates, to improve the degree of tolerance and acceptance of diversity in the university community. Tolerance, understood as respect, acceptance and appreciation of the rich diversity of the cultures of our world, of our forms of expression and ways of being human, but never as a concession, condescension or indulgence; much less as an invitation to renounce one's own beliefs or convictions. The topics discussed here are as varied as religious intolerance, which increasingly affects countries as migration increases; intolerance towards sexual diversity and towards ethnic and cultural diversity; disability, to facilitate understanding and therefore the inclusion of people, even those with psychosocial problems, by eliminating physical, communicational and mental barriers; sexual harassment, gender violence and domestic violence; as well as the armed conflict that has marked the social situation of many of our countries in Latin America. Each document, each guide, constitutes a chapter of this book and was prepared based on the work of one or more members of the Apoyo package acting as author leaders, to then be reviewed by the entire team and, therefore, we count all its members as contributing authors of each of the guides. Therefore, it is a collaborative work that takes into account the perspective of the eleven countries participating in the project, but especially the circumstances and needs of those in which CADEP Acacia have been created in Hispanic America. This is, therefore, a work with a transformative purpose. The Guidelines for tolerance and acceptance of diversity in higher education are an essential resource for the university community to be more inclusive and less segregating, thus facilitating improved academic levels and reducing university dropout rates, since emotional aspects are determining factors in ensuring the completion of studies and the development of a successful career, not to mention that tolerance and acceptance of diversity by the university community is a guarantee of general improvement in our society
