TY  - JOUR
A1  - Abdalla, H.
A1  - Adam, R.
A1  - Aharonian, Felix A.
A1  - Benkhali, F. Ait
A1  - Angüner, Ekrem Oǧuzhan
A1  - Arcaro, C.
A1  - Armand, C.
A1  - Armstrong, T.
A1  - Ashkar, H.
A1  - Backes, M.
A1  - Baghmanyan, V.
A1  - Martins, V. Barbosa
A1  - Barnacka, A.
A1  - Barnard, M.
A1  - Becherini, Y.
A1  - Berge, D.
A1  - Bernlohr, K.
A1  - Bi, B.
A1  - Bottcher, M.
A1  - Boisson, C.
A1  - Bolmont, J.
A1  - de Lavergne, M. de Bony
A1  - Bordas, Pol
A1  - Breuhaus, M.
A1  - Brun, F.
A1  - Brun, P.
A1  - Bryan, M.
A1  - Buchele, M.
A1  - Bulik, T.
A1  - Bylund, T.
A1  - Caroff, S.
A1  - Carosi, A.
A1  - Casanova, Sabrina
A1  - Chand, T.
A1  - Chandra, S.
A1  - Chen, A.
A1  - Cotter, G.
A1  - Curylo, M.
A1  - Mbarubucyeye, J. Damascene
A1  - Davids, I. D.
A1  - Davies, J.
A1  - Deil, C.
A1  - Devin, J.
A1  - deWilt, P.
A1  - Dirson, L.
A1  - Djannati-Atai, A.
A1  - Dmytriiev, A.
A1  - Donath, A.
A1  - Doroshenko, V.
A1  - Duffy, C.
A1  - Dyks, J.
A1  - Egberts, Kathrin
A1  - Eichhorn, F.
A1  - Einecke, S.
A1  - Emery, G.
A1  - Ernenwein, J. -P.
A1  - Feijen, K.
A1  - Fegan, S.
A1  - Fiasson, A.
A1  - de Clairfontaine, G. Fichet
A1  - Fontaine, G.
A1  - Funk, S.
A1  - Fussling, Matthias
A1  - Gabici, S.
A1  - Gallant, Y. A.
A1  - Giavitto, G.
A1  - Giunti, L.
A1  - Glawion, D.
A1  - Glicenstein, J. F.
A1  - Gottschall, D.
A1  - Grondin, M. -H.
A1  - Hahn, J.
A1  - Haupt, M.
A1  - Hermann, G.
A1  - Hinton, J. A.
A1  - Hofmann, W.
A1  - Hoischen, Clemens
A1  - Holch, T. L.
A1  - Holler, M.
A1  - Horbe, M.
A1  - Horns, D.
A1  - Huber, D.
A1  - Jamrozy, M.
A1  - Jankowsky, D.
A1  - Jankowsky, F.
A1  - Jardin-Blicq, A.
A1  - Joshi, V.
A1  - Jung-Richardt, I.
A1  - Kasai, E.
A1  - Kastendieck, M. A.
A1  - Katarzynski, K.
A1  - Katz, U.
A1  - Khangulyan, D.
A1  - Khelifi, B.
A1  - Klepser, S.
A1  - Kluzniak, W.
A1  - Komin, Nu.
A1  - Konno, R.
A1  - Kosack, K.
A1  - Kostunin, D.
A1  - Kreter, M.
A1  - Lamanna, G.
A1  - Lemiere, A.
A1  - Lemoine-Goumard, M.
A1  - Lenain, J. -P.
A1  - Levy, C.
A1  - Lohse, T.
A1  - Lypova, I.
A1  - Mackey, J.
A1  - Majumdar, J.
A1  - Malyshev, D.
A1  - Malyshev, D.
A1  - Marandon, V.
A1  - Marchegiani, P.
A1  - Marcowith, Alexandre
A1  - Mares, A.
A1  - Marti-Devesa, G.
A1  - Marx, R.
A1  - Maurin, G.
A1  - Meintjes, P. J.
A1  - Meyer, M.
A1  - Mitchell, A.
A1  - Moderski, R.
A1  - Mohamed, M.
A1  - Mohrmann, L.
A1  - Montanari, A.
A1  - Moore, C.
A1  - Morris, P.
A1  - Moulin, Emmanuel
A1  - Muller, J.
A1  - Murach, T.
A1  - Nakashima, K.
A1  - Nayerhoda, A.
A1  - de Naurois, M.
A1  - Ndiyavala, H.
A1  - Niederwanger, F.
A1  - Niemiec, J.
A1  - Oakes, L.
A1  - O'Brien, Patrick
A1  - Odaka, H.
A1  - Ohm, S.
A1  - Olivera-Nieto, L.
A1  - Wilhelmi, E. de Ona
A1  - Ostrowski, M.
A1  - Oya, I.
A1  - Panter, M.
A1  - Panny, S.
A1  - Parsons, R. D.
A1  - Peron, G.
A1  - Peyaud, B.
A1  - Piel, Q.
A1  - Pita, S.
A1  - Poireau, V.
A1  - Noel, A. Priyana
A1  - Prokhorov, D. A.
A1  - Prokoph, H.
A1  - Puhlhofer, G.
A1  - Punch, M.
A1  - Quirrenbach, A.
A1  - Raab, S.
A1  - Rauth, R.
A1  - Reichherzer, P.
A1  - Reimer, A.
A1  - Reimer, O.
A1  - Remy, Q.
A1  - Renaud, M.
A1  - Rieger, F.
A1  - Rinchiuso, L.
A1  - Romoli, C.
A1  - Rowell, G.
A1  - Rudak, B.
A1  - Ruiz-Velasco, E.
A1  - Sahakian, V.
A1  - Sailer, S.
A1  - Sanchez, D. A.
A1  - Santangelo, Andrea
A1  - Sasaki, M.
A1  - Scalici, M.
A1  - Schussler, F.
A1  - Schutte, H. M.
A1  - Schwanke, U.
A1  - Schwemmer, S.
A1  - Seglar-Arroyo, M.
A1  - Senniappan, M.
A1  - Seyffert, A. S.
A1  - Shafi, N.
A1  - Shiningayamwe, K.
A1  - Simoni, R.
A1  - Sinha, A.
A1  - Sol, H.
A1  - Specovius, A.
A1  - Spencer, S.
A1  - Spir-Jacob, M.
A1  - Stawarz, L.
A1  - Sun, L.
A1  - Steenkamp, R.
A1  - Stegmann, C.
A1  - Steinmassl, S.
A1  - Steppa, C.
A1  - Takahashi, T.
A1  - Tavernier, T.
A1  - Taylor, A. M.
A1  - Terrier, R.
A1  - Tiziani, D.
A1  - Tluczykont, M.
A1  - Tomankova, L.
A1  - Trichard, C.
A1  - Tsirou, M.
A1  - Tuffs, R.
A1  - Uchiyama, Y.
A1  - van der Walt, D. J.
A1  - van Eldik, C.
A1  - van Rensburg, C.
A1  - van Soelen, B.
A1  - Vasileiadis, G.
A1  - Veh, J.
A1  - Venter, C.
A1  - Vincent, P.
A1  - Vink, J.
A1  - Volk, H. J.
A1  - Vuillaume, T.
A1  - Wadiasingh, Z.
A1  - Wagner, S. J.
A1  - Watson, J.
A1  - Werner, F.
A1  - White, R.
A1  - Wierzcholska, A.
A1  - Wong, Yu Wun
A1  - Yusafzai, A.
A1  - Zacharias, M.
A1  - Zanin, R.
A1  - Zargaryan, D.
A1  - Zdziarski, A. A.
A1  - Zech, Alraune
A1  - Zhu, S. J.
A1  - Ziegler, A.
A1  - Zorn, J.
A1  - Zouari, S.
A1  - Zywucka, N.
T1  - An extreme particle accelerator in the Galactic plane
BT  - HESS J1826-130
JF  - Astronomy and astrophysics : an international weekly journal
N2  - The unidentified very-high-energy (VHE; E > 0.1 TeV) gamma -ray source, HESS J1826-130, was discovered with the High Energy Stereoscopic System (HESS) in the Galactic plane. The analysis of 215 h of HESS data has revealed a steady gamma -ray flux from HESS J1826-130, which appears extended with a half-width of 0.21 degrees +/- 0.02 <br /> (stat)degrees <br /> stat degrees +/- 0.05 <br /> (sys)degrees sys degrees . The source spectrum is best fit with either a power-law function with a spectral index Gamma = 1.78 +/- 0.10(stat) +/- 0.20(sys) and an exponential cut-off at 15.2 <br /> (+5.5)(-3.2) -3.2+5.5 TeV, or a broken power-law with Gamma (1) = 1.96 +/- 0.06(stat) +/- 0.20(sys), Gamma (2) = 3.59 +/- 0.69(stat) +/- 0.20(sys) for energies below and above E-br = 11.2 +/- 2.7 TeV, respectively. The VHE flux from HESS J1826-130 is contaminated by the extended emission of the bright, nearby pulsar wind nebula, HESS J1825-137, particularly at the low end of the energy spectrum. Leptonic scenarios for the origin of HESS J1826-130 VHE emission related to PSR J1826-1256 are confronted by our spectral and morphological analysis. In a hadronic framework, taking into account the properties of dense gas regions surrounding HESS J1826-130, the source spectrum would imply an astrophysical object capable of accelerating the parent particle population up to greater than or similar to 200 TeV. Our results are also discussed in a multiwavelength context, accounting for both the presence of nearby supernova remnants, molecular clouds, and counterparts detected in radio, X-rays, and TeV energies.
KW  - ISM: supernova remnants
KW  - ISM: clouds
KW  - gamma rays: general
KW  - gamma rays:
KW  - ISM
Y1  - 2020
U6  - https://doi.org/10.1051/0004-6361/202038851
SN  - 0004-6361
SN  - 1432-0746
VL  - 644
PB  - EDP Sciences
CY  - Les Ulis
ER  - 
TY  - JOUR
A1  - Koenig, Julian
A1  - Abler, Birgit
A1  - Agartz, Ingrid
A1  - akerstedt, Torbjorn
A1  - Andreassen, Ole A.
A1  - Anthony, Mia
A1  - Baer, Karl-Juergen
A1  - Bertsch, Katja
A1  - Brown, Rebecca C.
A1  - Brunner, Romuald
A1  - Carnevali, Luca
A1  - Critchley, Hugo D.
A1  - Cullen, Kathryn R.
A1  - de Geus, Eco J. C.
A1  - de la Cruz, Feliberto
A1  - Dziobek, Isabel
A1  - Ferger, Marc D.
A1  - Fischer, Hakan
A1  - Flor, Herta
A1  - Gaebler, Michael
A1  - Gianaros, Peter J.
A1  - Giummarra, Melita J.
A1  - Greening, Steven G.
A1  - Guendelman, Simon
A1  - Heathers, James A. J.
A1  - Herpertz, Sabine C.
A1  - Hu, Mandy X.
A1  - Jentschke, Sebastian
A1  - Kaess, Michael
A1  - Kaufmann, Tobias
A1  - Klimes-Dougan, Bonnie
A1  - Koelsch, Stefan
A1  - Krauch, Marlene
A1  - Kumral, Deniz
A1  - Lamers, Femke
A1  - Lee, Tae-Ho
A1  - Lekander, Mats
A1  - Lin, Feng
A1  - Lotze, Martin
A1  - Makovac, Elena
A1  - Mancini, Matteo
A1  - Mancke, Falk
A1  - Mansson, Kristoffer N. T.
A1  - Manuck, Stephen B.
A1  - Mather, Mara
A1  - Meeten, Frances
A1  - Min, Jungwon
A1  - Mueller, Bryon
A1  - Muench, Vera
A1  - Nees, Frauke
A1  - Nga, Lin
A1  - Nilsonne, Gustav
A1  - Ordonez Acuna, Daniela
A1  - Osnes, Berge
A1  - Ottaviani, Cristina
A1  - Penninx, Brenda W. J. H.
A1  - Ponzio, Allison
A1  - Poudel, Govinda R.
A1  - Reinelt, Janis
A1  - Ren, Ping
A1  - Sakaki, Michiko
A1  - Schumann, Andy
A1  - Sorensen, Lin
A1  - Specht, Karsten
A1  - Straub, Joana
A1  - Tamm, Sandra
A1  - Thai, Michelle
A1  - Thayer, Julian F.
A1  - Ubani, Benjamin
A1  - van Der Mee, Denise J.
A1  - van Velzen, Laura S.
A1  - Ventura-Bort, Carlos
A1  - Villringer, Arno
A1  - Watson, David R.
A1  - Wei, Luqing
A1  - Wendt, Julia
A1  - Schreiner, Melinda Westlund
A1  - Westlye, Lars T.
A1  - Weymar, Mathias
A1  - Winkelmann, Tobias
A1  - Wu, Guo-Rong
A1  - Yoo, Hyun Joo
A1  - Quintana, Daniel S.
T1  - Cortical thickness and resting-state cardiac function across the lifespan
BT  - a cross-sectional pooled mega-analysis
JF  - Psychophysiology : journal of the Society for Psychophysiological Research
N2  - Understanding the association between autonomic nervous system [ANS] function and brain morphology across the lifespan provides important insights into neurovisceral mechanisms underlying health and disease. Resting-state ANS activity, indexed by measures of heart rate [HR] and its variability [HRV] has been associated with brain morphology, particularly cortical thickness [CT]. While findings have been mixed regarding the anatomical distribution and direction of the associations, these inconsistencies may be due to sex and age differences in HR/HRV and CT. Previous studies have been limited by small sample sizes, which impede the assessment of sex differences and aging effects on the association between ANS function and CT. To overcome these limitations, 20 groups worldwide contributed data collected under similar protocols of CT assessment and HR/HRV recording to be pooled in a mega-analysis (N = 1,218 (50.5% female), mean age 36.7 years (range: 12-87)). Findings suggest a decline in HRV as well as CT with increasing age. CT, particularly in the orbitofrontal cortex, explained additional variance in HRV, beyond the effects of aging. This pattern of results may suggest that the decline in HRV with increasing age is related to a decline in orbitofrontal CT. These effects were independent of sex and specific to HRV; with no significant association between CT and HR. Greater CT across the adult lifespan may be vital for the maintenance of healthy cardiac regulation via the ANS-or greater cardiac vagal activity as indirectly reflected in HRV may slow brain atrophy. Findings reveal an important association between CT and cardiac parasympathetic activity with implications for healthy aging and longevity that should be studied further in longitudinal research.
KW  - aging
KW  - autonomic nervous system
KW  - cortical thickness
KW  - heart rate
KW  - heart
KW  - rate variability
KW  - sex
Y1  - 2020
U6  - https://doi.org/10.1111/psyp.13688
SN  - 0048-5772
SN  - 1469-8986
VL  - 58
IS  - 7
PB  - Wiley
CY  - Hoboken
ER  - 
TY  - JOUR
A1  - Herrero, Mario
A1  - Thornton, Philip K.
A1  - Mason-D'Croz, Daniel
A1  - Palmer, Jeda
A1  - Bodirsky, Benjamin Leon
A1  - Pradhan, Prajal
A1  - Barrett, Christopher B.
A1  - Benton, Tim G.
A1  - Hall, Andrew
A1  - Pikaar, Ilje
A1  - Bogard, Jessica R.
A1  - Bonnett, Graham D.
A1  - Bryan, Brett A.
A1  - Campbell, Bruce M.
A1  - Christensen, Svend
A1  - Clark, Michael
A1  - Fanzo, Jessica
A1  - Godde, Cecile M.
A1  - Jarvis, Andy
A1  - Loboguerrero, Ana Maria
A1  - Mathys, Alexander
A1  - McIntyre, C. Lynne
A1  - Naylor, Rosamond L.
A1  - Nelson, Rebecca
A1  - Obersteiner, Michael
A1  - Parodi, Alejandro
A1  - Popp, Alexander
A1  - Ricketts, Katie
A1  - Smith, Pete
A1  - Valin, Hugo
A1  - Vermeulen, Sonja J.
A1  - Vervoort, Joost
A1  - van Wijk, Mark
A1  - van Zanten, Hannah H. E.
A1  - West, Paul C.
A1  - Wood, Stephen A.
A1  - Rockström, Johan
T1  - Articulating the effect of food systems innovation on the Sustainable Development Goals
JF  - The lancet Planetary health
N2  - Food system innovations will be instrumental to achieving multiple Sustainable Development Goals (SDGs). However, major innovation breakthroughs can trigger profound and disruptive changes, leading to simultaneous and interlinked reconfigurations of multiple parts of the global food system. The emergence of new technologies or social solutions, therefore, have very different impact profiles, with favourable consequences for some SDGs and unintended adverse side-effects for others. Stand-alone innovations seldom achieve positive outcomes over multiple sustainability dimensions. Instead, they should be embedded as part of systemic changes that facilitate the implementation of the SDGs. Emerging trade-offs need to be intentionally addressed to achieve true sustainability, particularly those involving social aspects like inequality in its many forms, social justice, and strong institutions, which remain challenging. Trade-offs with undesirable consequences are manageable through the development of well planned transition pathways, careful monitoring of key indicators, and through the implementation of transparent science targets at the local level.
Y1  - 2020
U6  - https://doi.org/10.1016/S2542-5196(20)30277-1
SN  - 2542-5196
VL  - 5
IS  - 1
SP  - E50
EP  - E62
PB  - Elsevier
CY  - Oxford
ER  - 
TY  - JOUR
A1  - Christakoudi, Sofa
A1  - Tsilidis, Konstantinos K.
A1  - Muller, David C.
A1  - Freisling, Heinz
A1  - Weiderpass, Elisabete
A1  - Overvad, Kim
A1  - Söderberg, Stefan
A1  - Häggström, Christel
A1  - Pischon, Tobias
A1  - Dahm, Christina C.
A1  - Zhang, Jie
A1  - Tjønneland, Anne
A1  - Schulze, Matthias Bernd
T1  - A Body Shape Index (ABSI) achieves better mortality risk stratification than alternative indices of abdominal obesity: results from a large European cohort
JF  - Scientific Reports
N2  - Abdominal and general adiposity are independently associated with mortality, but there is no consensus on how best to assess abdominal adiposity. We compared the ability of alternative waist indices to complement body mass index (BMI) when assessing all-cause mortality. We used data from 352,985 participants in the European Prospective Investigation into Cancer and Nutrition (EPIC) and Cox proportional hazards models adjusted for other risk factors. During a mean follow-up of 16.1 years, 38,178 participants died. Combining in one model BMI and a strongly correlated waist index altered the association patterns with mortality, to a predominantly negative association for BMI and a stronger positive association for the waist index, while combining BMI with the uncorrelated A Body Shape Index (ABSI) preserved the association patterns. Sex-specific cohort-wide quartiles of waist indices correlated with BMI could not separate high-risk from low-risk individuals within underweight (BMI<18.5 kg/m(2)) or obese (BMI30 kg/m(2)) categories, while the highest quartile of ABSI separated 18-39% of the individuals within each BMI category, which had 22-55% higher risk of death. In conclusion, only a waist index independent of BMI by design, such as ABSI, complements BMI and enables efficient risk stratification, which could facilitate personalisation of screening, treatment and monitoring.
KW  - all-cause mortality
KW  - anthropometric measures
KW  - mass index
KW  - overweight
KW  - cancer
KW  - prediction
KW  - adiposity
KW  - size
Y1  - 2020
VL  - 10
IS  - 1
PB  - Springer Nature
CY  - Berlin
ER  - 
TY  - GEN
A1  - Christakoudi, Sofa
A1  - Tsilidis, Konstantinos K.
A1  - Muller, David C.
A1  - Freisling, Heinz
A1  - Weiderpass, Elisabete
A1  - Overvad, Kim
A1  - Söderberg, Stefan
A1  - Häggström, Christel
A1  - Pischon, Tobias
A1  - Dahm, Christina C.
A1  - Zhang, Jie
A1  - Tjønneland, Anne
A1  - Schulze, Matthias Bernd
T1  - A Body Shape Index (ABSI) achieves better mortality risk stratification than alternative indices of abdominal obesity: results from a large European cohort
T2  - Postprints der Universität Potsdam : Mathematisch-Naturwissenschaftliche Reihe
N2  - Abdominal and general adiposity are independently associated with mortality, but there is no consensus on how best to assess abdominal adiposity. We compared the ability of alternative waist indices to complement body mass index (BMI) when assessing all-cause mortality. We used data from 352,985 participants in the European Prospective Investigation into Cancer and Nutrition (EPIC) and Cox proportional hazards models adjusted for other risk factors. During a mean follow-up of 16.1 years, 38,178 participants died. Combining in one model BMI and a strongly correlated waist index altered the association patterns with mortality, to a predominantly negative association for BMI and a stronger positive association for the waist index, while combining BMI with the uncorrelated A Body Shape Index (ABSI) preserved the association patterns. Sex-specific cohort-wide quartiles of waist indices correlated with BMI could not separate high-risk from low-risk individuals within underweight (BMI<18.5 kg/m(2)) or obese (BMI30 kg/m(2)) categories, while the highest quartile of ABSI separated 18-39% of the individuals within each BMI category, which had 22-55% higher risk of death. In conclusion, only a waist index independent of BMI by design, such as ABSI, complements BMI and enables efficient risk stratification, which could facilitate personalisation of screening, treatment and monitoring.
T3  - Zweitveröffentlichungen der Universität Potsdam : Mathematisch-Naturwissenschaftliche Reihe - 1200 
KW  - all-cause mortality
KW  - anthropometric measures
KW  - mass index
KW  - overweight
KW  - cancer
KW  - prediction
KW  - adiposity
KW  - size
Y1  - 2020
U6  - http://nbn-resolving.de/urn/resolver.pl?urn:nbn:de:kobv:517-opus4-525827
SN  - 1866-8372
IS  - 1
ER  - 
TY  - GEN
A1  - Noonan, Michael J.
A1  - Fleming, Christen H.
A1  - Tucker, Marlee A.
A1  - Kays, Roland
A1  - Harrison, Autumn-Lynn
A1  - Crofoot, Margaret C.
A1  - Abrahms, Briana
A1  - Alberts, Susan C.
A1  - Ali, Abdullahi H.
A1  - Blaum, Niels
T1  - Effects of body size on estimation of mammalian area requirements
T2  - Postprints der Universität Potsdam : Mathematisch-Naturwissenschaftliche Reihe
N2  - Accurately quantifying species' area requirements is a prerequisite for effective area-based conservation. This typically involves collecting tracking data on species of interest and then conducting home-range analyses. Problematically, autocorrelation in tracking data can result in space needs being severely underestimated. Based on the previous work, we hypothesized the magnitude of underestimation varies with body mass, a relationship that could have serious conservation implications. To evaluate this hypothesis for terrestrial mammals, we estimated home-range areas with global positioning system (GPS) locations from 757 individuals across 61 globally distributed mammalian species with body masses ranging from 0.4 to 4000 kg. We then applied block cross-validation to quantify bias in empirical home-range estimates. Area requirements of mammals <10 kg were underestimated by a mean approximately15%, and species weighing approximately100 kg were underestimated by approximately50% on average. Thus, we found area estimation was subject to autocorrelation-induced bias that was worse for large species. Combined with the fact that extinction risk increases as body mass increases, the allometric scaling of bias we observed suggests the most threatened species are also likely to be those with the least accurate home-range estimates. As a correction, we tested whether data thinning or autocorrelation-informed home-range estimation minimized the scaling effect of autocorrelation on area estimates. Data thinning required an approximately93% data loss to achieve statistical independence with 95% confidence and was, therefore, not a viable solution. In contrast, autocorrelation-informed home-range estimation resulted in consistently accurate estimates irrespective of mass. When relating body mass to home range size, we detected that correcting for autocorrelation resulted in a scaling exponent significantly >1, meaning the scaling of the relationship changed substantially at the upper end of the mass spectrum.
T3  - Zweitveröffentlichungen der Universität Potsdam : Mathematisch-Naturwissenschaftliche Reihe - 1206 
KW  - allometry
KW  - animal movement
KW  - area-based conservation
KW  - autocorrelation
KW  - home range
KW  - kernel density estimation
KW  - reserve design
KW  - scaling
Y1  - 2019
U6  - http://nbn-resolving.de/urn/resolver.pl?urn:nbn:de:kobv:517-opus4-526824
SN  - 1866-8372
IS  - 4
ER  - 
TY  - JOUR
A1  - Noonan, Michael J.
A1  - Fleming, Christen H.
A1  - Tucker, Marlee A.
A1  - Kays, Roland
A1  - Harrison, Autumn-Lynn
A1  - Crofoot, Margaret C.
A1  - Abrahms, Briana
A1  - Alberts, Susan C.
A1  - Ali, Abdullahi H.
A1  - Blaum, Niels
T1  - Effects of body size on estimation of mammalian area requirements
JF  - Conservation Biology
N2  - Accurately quantifying species' area requirements is a prerequisite for effective area-based conservation. This typically involves collecting tracking data on species of interest and then conducting home-range analyses. Problematically, autocorrelation in tracking data can result in space needs being severely underestimated. Based on the previous work, we hypothesized the magnitude of underestimation varies with body mass, a relationship that could have serious conservation implications. To evaluate this hypothesis for terrestrial mammals, we estimated home-range areas with global positioning system (GPS) locations from 757 individuals across 61 globally distributed mammalian species with body masses ranging from 0.4 to 4000 kg. We then applied block cross-validation to quantify bias in empirical home-range estimates. Area requirements of mammals <10 kg were underestimated by a mean approximately15%, and species weighing approximately100 kg were underestimated by approximately50% on average. Thus, we found area estimation was subject to autocorrelation-induced bias that was worse for large species. Combined with the fact that extinction risk increases as body mass increases, the allometric scaling of bias we observed suggests the most threatened species are also likely to be those with the least accurate home-range estimates. As a correction, we tested whether data thinning or autocorrelation-informed home-range estimation minimized the scaling effect of autocorrelation on area estimates. Data thinning required an approximately93% data loss to achieve statistical independence with 95% confidence and was, therefore, not a viable solution. In contrast, autocorrelation-informed home-range estimation resulted in consistently accurate estimates irrespective of mass. When relating body mass to home range size, we detected that correcting for autocorrelation resulted in a scaling exponent significantly >1, meaning the scaling of the relationship changed substantially at the upper end of the mass spectrum.
KW  - allometry
KW  - animal movement
KW  - area-based conservation
KW  - autocorrelation
KW  - home range
KW  - kernel density estimation
KW  - reserve design
KW  - scaling
Y1  - 2019
VL  - 34
IS  - 4
PB  - Wiley-Blackwell
CY  - Oxford
ER  - 
TY  - JOUR
A1  - van Rees, Charles B.
A1  - Waylen, Kerry A.
A1  - Schmidt-Kloiber, Astrid
A1  - Thackeray, Stephen J.
A1  - Kalinkat, Gregor
A1  - Martens, Koen
A1  - Domisch, Sami
A1  - Lillebo, Ana
A1  - Hermoso, Virgilio
A1  - Grossart, Hans-Peter
A1  - Schinegger, Rafaela
A1  - Decleer, Kris
A1  - Adriaens, Tim
A1  - Denys, Luc
A1  - Jaric, Ivan
A1  - Janse, Jan H.
A1  - Monaghan, Michael T.
A1  - De Wever, Aaike
A1  - Geijzendorffer, Ilse
A1  - Adamescu, Mihai C.
A1  - Jähnig, Sonja C.
T1  - Safeguarding freshwater life beyond 2020
BT  - recommendations for the new global biodiversity framework from the European experience
JF  - Conservation letters
N2  - Plans are currently being drafted for the next decade of action on biodiversity-both the post-2020 Global Biodiversity Framework of the Convention on Biological Diversity (CBD) and Biodiversity Strategy of the European Union (EU). Freshwater biodiversity is disproportionately threatened and underprioritized relative to the marine and terrestrial biota, despite supporting a richness of species and ecosystems with their own intrinsic value and providing multiple essential ecosystem services. Future policies and strategies must have a greater focus on the unique ecology of freshwater life and its multiple threats, and now is a critical time to reflect on how this may be achieved. We identify priority topics including environmental flows, water quality, invasive species, integrated water resources management, strategic conservation planning, and emerging technologies for freshwater ecosystem monitoring. We synthesize these topics with decades of first-hand experience and recent literature into 14 special recommendations for global freshwater biodiversity conservation based on the successes and setbacks of European policy, management, and research. Applying and following these recommendations will inform and enhance the ability of global and European post-2020 biodiversity agreements to halt and reverse the rapid global decline of freshwater biodiversity.
KW  - climate change
KW  - conservation
KW  - ecosystem services
KW  - rivers
KW  - sustainable
KW  - development goals
KW  - water resources
KW  - wetlands
Y1  - 2020
U6  - https://doi.org/10.1111/conl.12771
SN  - 1755-263X
VL  - 14
IS  - 1
PB  - Wiley
CY  - Hoboken
ER  - 
TY  - JOUR
A1  - Schenck, Marcia C.
T1  - Small Strangers at the School of Friendship: Memories of Mozambican School Students of The German Democratic Republic
JF  - German Historical Institute Washington Bulletin / Supplement
KW  - migration, school of friendship, German Democratic Repubic, Mozambique
Y1  - 2020
UR  - https://perspectivia.net/servlets/MCRFileNodeServlet/pnet_derivate_00003158/schenk_strangers.pdf
IS  - 15
SP  - 41
EP  - 59
PB  - Max Weber Stiftung – Deutsche Geisteswissenschaftliche Institute im Ausland
ER  - 
TY  - JOUR
A1  - Ryo, Masahiro
A1  - Jeschke, Jonathan M.
A1  - Rillig, Matthias C.
A1  - Heger, Tina
T1  - Machine learning with the hierarchy-of-hypotheses (HoH) approach discovers novel pattern in studies on biological invasions
JF  - Research synthesis methods
N2  - Research synthesis on simple yet general hypotheses and ideas is challenging in scientific disciplines studying highly context-dependent systems such as medical, social, and biological sciences. This study shows that machine learning, equation-free statistical modeling of artificial intelligence, is a promising synthesis tool for discovering novel patterns and the source of controversy in a general hypothesis. We apply a decision tree algorithm, assuming that evidence from various contexts can be adequately integrated in a hierarchically nested structure. As a case study, we analyzed 163 articles that studied a prominent hypothesis in invasion biology, the enemy release hypothesis. We explored if any of the nine attributes that classify each study can differentiate conclusions as classification problem. Results corroborated that machine learning can be useful for research synthesis, as the algorithm could detect patterns that had been already focused in previous narrative reviews. Compared with the previous synthesis study that assessed the same evidence collection based on experts' judgement, the algorithm has newly proposed that the studies focusing on Asian regions mostly supported the hypothesis, suggesting that more detailed investigations in these regions can enhance our understanding of the hypothesis. We suggest that machine learning algorithms can be a promising synthesis tool especially where studies (a) reformulate a general hypothesis from different perspectives, (b) use different methods or variables, or (c) report insufficient information for conducting meta-analyses.
KW  - artificial intelligence
KW  - hierarchy-of-hypotheses approach
KW  - machine learning
KW  - meta-analysis
KW  - synthesis
KW  - systematic review
Y1  - 2019
U6  - https://doi.org/10.1002/jrsm.1363
SN  - 1759-2879
SN  - 1759-2887
VL  - 11
IS  - 1
SP  - 66
EP  - 73
PB  - Wiley
CY  - Hoboken
ER  -