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O'Hara KL, Cohen B. A call for early, effective, and scalable parent education programs for high-conflict separated/divorcing parents: A synthesized perspective from prevention science and family law. Fam Court Rev 2024; 62:160-175. [PMID: 38495867 PMCID: PMC10938872 DOI: 10.1111/fcre.12771] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 11/19/2023] [Accepted: 11/19/2023] [Indexed: 03/19/2024]
Abstract
Conflict between parents is stressful and disruptive to children living in the midst of parental separation or divorce. Although some level of post-separation/divorce conflict is understandable in an emotionally-charged separation/divorce, it undermines the extent to which parents protect their children from short- and long-term problems. In this article, we weave together a synthesized perspective informed by our respective training and experience in prevention science and family law on the role of parent education programs for high-conflict separating/divorcing parents. To do so, we first describe the research on the effects of high interparental conflict on children's outcomes and then discuss current approaches and challenges to reducing these negative effects by offering parent education programs for high-conflict separating/divorcing parents. Then, we propose and describe a new model for early, effective, and scalable parent education programs with the ultimate goal of protecting children after separation/divorce.
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Affiliation(s)
- K L O'Hara
- REACH Institute, Arizona State University
| | - B Cohen
- Maricopa County Superior Court
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2
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Rhodes CA, Thomas N, O'Hara KL, Hita L, Blake A, Wolchik SA, Fisher B, Freeman M, Chen D, Berkel C. Enhancing the Focus: How Does Parental Incarceration Fit into the Overall Picture of Adverse Childhood Experiences (ACEs) and Positive Childhood Experiences (PCEs)? Res Child Adolesc Psychopathol 2023; 51:1933-1944. [PMID: 37875642 PMCID: PMC11008286 DOI: 10.1007/s10802-023-01142-0] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 10/11/2023] [Indexed: 10/26/2023]
Abstract
Despite the five million children in the U.S. with an incarcerated parent, there is limited research on risk and protective factors for this population. We analyzed data from the National Survey for Children's Health (2018) to: (1) examine associations among parental incarceration and other adverse childhood experiences (ACEs), (2) characterize the association between parental incarceration and youth mental health outcomes, (3) examine differences in positive childhood experiences (PCEs; collective socialization, community engagement, neighborhood amenities, and family problem solving) by parental incarceration status, (4) examine whether PCEs were protective against mental health problems and if there was an interaction with parental incarceration status, and (5) examine the interaction between PCEs, parental incarceration, and ACEs on mental health problems. Results revealed that children with incarcerated parents had higher odds of experiencing other ACEs, higher odds of having mental health problems, and experienced fewer PCEs compared to children without incarcerated parents. Further, although PCEs were associated with a lower odds of mental health problems for both children with and without incarcerated parents, they did not mitigate the negative impact of parental incarceration on mental health outcomes. While PCEs attenuated the association between ACEs and mental health, parental incarceration status did not significantly moderate the interaction. These results highlight vulnerabilities and potential protective factors for children with incarcerated parents and have important implications for the development of multilevel intervention strategies that seek to promote resilience and reduce risk for this population.
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Affiliation(s)
| | - N Thomas
- Arizona State University, Tempe, USA
| | | | - L Hita
- Arizona State University, Tempe, USA
| | - A Blake
- Arizona State University, Tempe, USA
| | | | - B Fisher
- Arizona State University, Tempe, USA
| | - M Freeman
- Arizona State University, Tempe, USA
| | - D Chen
- Arizona State University, Tempe, USA
| | - C Berkel
- Arizona State University, Tempe, USA
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3
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Jucker T, Fischer FJ, Chave J, Coomes DA, Caspersen J, Ali A, Loubota Panzou GJ, Feldpausch TR, Falster D, Usoltsev VA, Adu‐Bredu S, Alves LF, Aminpour M, Angoboy IB, Anten NPR, Antin C, Askari Y, Muñoz R, Ayyappan N, Balvanera P, Banin L, Barbier N, Battles JJ, Beeckman H, Bocko YE, Bond‐Lamberty B, Bongers F, Bowers S, Brade T, van Breugel M, Chantrain A, Chaudhary R, Dai J, Dalponte M, Dimobe K, Domec J, Doucet J, Duursma RA, Enríquez M, van Ewijk KY, Farfán‐Rios W, Fayolle A, Forni E, Forrester DI, Gilani H, Godlee JL, Gourlet‐Fleury S, Haeni M, Hall JS, He J, Hemp A, Hernández‐Stefanoni JL, Higgins SI, Holdaway RJ, Hussain K, Hutley LB, Ichie T, Iida Y, Jiang H, Joshi PR, Kaboli H, Larsary MK, Kenzo T, Kloeppel BD, Kohyama T, Kunwar S, Kuyah S, Kvasnica J, Lin S, Lines ER, Liu H, Lorimer C, Loumeto J, Malhi Y, Marshall PL, Mattsson E, Matula R, Meave JA, Mensah S, Mi X, Momo S, Moncrieff GR, Mora F, Nissanka SP, O'Hara KL, Pearce S, Pelissier R, Peri PL, Ploton P, Poorter L, Pour MJ, Pourbabaei H, Dupuy‐Rada JM, Ribeiro SC, Ryan C, Sanaei A, Sanger J, Schlund M, Sellan G, Shenkin A, Sonké B, Sterck FJ, Svátek M, Takagi K, Trugman AT, Ullah F, Vadeboncoeur MA, Valipour A, Vanderwel MC, Vovides AG, Wang W, Wang L, Wirth C, Woods M, Xiang W, Ximenes FDA, Xu Y, Yamada T, Zavala MA. Tallo: A global tree allometry and crown architecture database. Glob Chang Biol 2022; 28:5254-5268. [PMID: 35703577 PMCID: PMC9542605 DOI: 10.1111/gcb.16302] [Citation(s) in RCA: 5] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 02/15/2022] [Revised: 05/12/2022] [Accepted: 06/06/2022] [Indexed: 06/15/2023]
Abstract
Data capturing multiple axes of tree size and shape, such as a tree's stem diameter, height and crown size, underpin a wide range of ecological research-from developing and testing theory on forest structure and dynamics, to estimating forest carbon stocks and their uncertainties, and integrating remote sensing imagery into forest monitoring programmes. However, these data can be surprisingly hard to come by, particularly for certain regions of the world and for specific taxonomic groups, posing a real barrier to progress in these fields. To overcome this challenge, we developed the Tallo database, a collection of 498,838 georeferenced and taxonomically standardized records of individual trees for which stem diameter, height and/or crown radius have been measured. These data were collected at 61,856 globally distributed sites, spanning all major forested and non-forested biomes. The majority of trees in the database are identified to species (88%), and collectively Tallo includes data for 5163 species distributed across 1453 genera and 187 plant families. The database is publicly archived under a CC-BY 4.0 licence and can be access from: https://doi.org/10.5281/zenodo.6637599. To demonstrate its value, here we present three case studies that highlight how the Tallo database can be used to address a range of theoretical and applied questions in ecology-from testing the predictions of metabolic scaling theory, to exploring the limits of tree allometric plasticity along environmental gradients and modelling global variation in maximum attainable tree height. In doing so, we provide a key resource for field ecologists, remote sensing researchers and the modelling community working together to better understand the role that trees play in regulating the terrestrial carbon cycle.
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Affiliation(s)
- Tommaso Jucker
- School of Biological SciencesUniversity of BristolBristolUK
| | | | - Jérôme Chave
- Laboratoire Évolution et Diversité Biologique (EDB)UMR 5174 (CNRS/IRD/UPS)Toulouse Cedex 9France
- Université ToulouseToulouse Cedex 9France
| | - David A. Coomes
- Conservation Research InstituteUniversity of CambridgeCambridgeUK
| | - John Caspersen
- Institute of Forestry and ConservationUniversity of TorontoTorontoOntarioCanada
| | - Arshad Ali
- Forest Ecology Research Group, College of Life SciencesHebei UniversityBaodingHebeiChina
| | - Grace Jopaul Loubota Panzou
- Université de Liège, Gembloux Agro‐Bio TechGemblouxBelgium
- Laboratoire de Biodiversité, de Gestion des Ecosystèmes et de l'Environnement (LBGE), Faculté des Sciences et TechniquesUniversité Marien NgouabiBrazzavilleRepublic of Congo
| | - Ted R. Feldpausch
- College of Life and Environmental SciencesUniversity of ExeterExeterUK
| | - Daniel Falster
- Evolution & Ecology Research CentreUniversity of New South Wales SydneySydneyNew South WalesAustralia
| | - Vladimir A. Usoltsev
- Department of ForestryUral State Forest Engineering UniversityYekaterinburgRussia
- Department of Forest DynamicsBotanical Garden of the Ural Branch of Russian Academy of SciencesYekaterinburgRussia
| | - Stephen Adu‐Bredu
- Forestry Research Institute of Ghana, Council for Scientific and Industrial ResearchUniversityKumasiGhana
| | - Luciana F. Alves
- Center for Tropical Research, Institute of the Environment and SustainabilityUniversity of California Los AngelesLos AngelesCaliforniaUSA
| | - Mohammad Aminpour
- Natural Recourses and Watershed Management Office, West Azerbaijan ProvinceUrmiaIran
| | - Ilondea B. Angoboy
- Institut National pour l'Etude et la Recherche AgronimiquesDemocratic Republic of the Congo
| | - Niels P. R. Anten
- Center for Crop Systems AnalysisWageningen UniversityWageningenThe Netherlands
| | - Cécile Antin
- AMAP LabMontpellier University, IRD, CIRAD, CNRS, INRAEMontpellierFrance
| | - Yousef Askari
- Research Division of Natural Resources, Kohgiluyeh and Boyerahmad Agriculture and Natural Resources Research and Education Center, AREEOYasoujIran
| | - Rodrigo Muñoz
- Departamento de Ecología y Recursos Naturales, Facultad de CienciasUniversidad Nacional Autónoma de México, CoyoacánCiudad de MéxicoMexico
- Forest Ecology and Forest Management GroupWageningen UniversityWageningenThe Netherlands
| | | | - Patricia Balvanera
- Instituto de Investigaciones en Ecosistemas y Sustentabilidad, Universidad Nacional Autónoma de MéxicoMoreliaMichoacánMexico
| | | | - Nicolas Barbier
- AMAP LabMontpellier University, IRD, CIRAD, CNRS, INRAEMontpellierFrance
| | | | - Hans Beeckman
- Service of Wood BiologyRoyal Museum for Central AfricaTervurenBelgium
| | - Yannick E. Bocko
- Laboratoire de Biodiversité, de Gestion des Ecosystèmes et de l'Environnement (LBGE), Faculté des Sciences et TechniquesUniversité Marien NgouabiBrazzavilleRepublic of Congo
| | - Ben Bond‐Lamberty
- Pacific Northwest National LaboratoryJoint Global Change Research InstituteCollege ParkMarylandUSA
| | - Frans Bongers
- Forest Ecology and Forest Management GroupWageningen UniversityWageningenThe Netherlands
| | - Samuel Bowers
- School of GeoSciencesUniversity of EdinburghEdinburghUK
| | - Thomas Brade
- School of GeoSciencesUniversity of EdinburghEdinburghUK
| | - Michiel van Breugel
- Yale‐NUS CollegeSingapore
- ForestGEOSmithsonian Tropical Research InstituteApartadoPanamaRepublic of Panama
- Department of GeographyNational University of SingaporeSingapore
| | | | - Rajeev Chaudhary
- Division Forest OfficeMinistry of ForestDhangadhiSudurpashchim ProvinceNepal
| | - Jingyu Dai
- College of Urban and Environmental Sciences and MOE Laboratory for Earth Surface ProcessesPeking UniversityBeijingChina
| | - Michele Dalponte
- Research and Innovation Centre, Fondazione Edmund MachSan Michele all'AdigeItaly
| | - Kangbéni Dimobe
- Institut des Sciences de l'Environnement et du Développement Rural (ISEDR)Université de DédougouDédougouBurkina Faso
| | - Jean‐Christophe Domec
- Bordeaux Sciences Agro‐UMR ISPA, INRAEBordeauxFrance
- Nicholas School of the EnvironmentDuke UniversityDurhamNCUSA
| | | | | | - Moisés Enríquez
- Departamento de Ecología y Recursos Naturales, Facultad de CienciasUniversidad Nacional Autónoma de México, CoyoacánCiudad de MéxicoMexico
| | - Karin Y. van Ewijk
- Department of Geography and Planning, Queen's UniversityKingstonOntarioCanada
| | | | | | - Eric Forni
- CIRAD, UPR Forêts et SociétésMontpellierFrance
| | | | - Hammad Gilani
- Institute of Space Technology, Islamabad HighwayIslamabadPakistan
| | | | | | - Matthias Haeni
- Swiss Federal Research Institute WSLBirmensdorfSwitzerland
| | - Jefferson S. Hall
- ForestGEOSmithsonian Tropical Research InstituteApartadoPanamaRepublic of Panama
| | - Jie‐Kun He
- Spatial Ecology Lab, School of Life SciencesSouth China Normal UniversityGuangzhouGuangdongChina
| | - Andreas Hemp
- Department of Plant SystematicsUniversity of BayreuthBayreuthGermany
| | | | | | | | - Kiramat Hussain
- Gilgit‐Baltistan Forest Wildlife and Environment DepartmentGilgitPakistan
| | - Lindsay B. Hutley
- Research Institute for the Environment & LivelihoodsCharles Darwin UniversityCasuarinaNorthern TerritoryAustralia
| | - Tomoaki Ichie
- Faculty of Agriculture and Marine ScienceKochi UniversityNankokuKochiJapan
| | - Yoshiko Iida
- Forestry and Forest Products Research InstituteTsukubaIbarakiJapan
| | - Hai‐sheng Jiang
- Spatial Ecology Lab, School of Life SciencesSouth China Normal UniversityGuangzhouGuangdongChina
| | | | - Hasan Kaboli
- Faculty of Desert Studies Semnan UniversitySemnanIran
| | | | - Tanaka Kenzo
- Japan International Research Center for Agricultural SciencesTsukubaIbarakiJapan
| | - Brian D. Kloeppel
- Department of Geosciences and Natural ResourcesWestern Carolina UniversityCullowheeNorth CarolinaUSA
- Graduate School and ResearchWestern Carolina UnversityCullowheeNorth CarolinaUSA
| | - Takashi Kohyama
- Faculty of Environmental Earth ScienceHokkaido UniversitySapporoJapan
| | - Suwash Kunwar
- Division Forest OfficeMinistry of ForestDhangadhiSudurpashchim ProvinceNepal
- Department of Forest Resources Management, College of ForestryNanjing Forestry UniversityNanjingJiangsuChina
| | - Shem Kuyah
- Jomo Kenyatta University of Agriculture and Technology (JKUAT)NairobiKenya
| | - Jakub Kvasnica
- Department of Forest Botany, Dendrology and Geobiocoenology, Faculty of Forestry and Wood TechnologyMendel University in BrnoBrnoCzech Republic
| | - Siliang Lin
- Guangdong Provincial Key Laboratory of High Technology for Plant Protection, Plant Protection Research InstituteGuangdong Academy of Agricultural SciencesGuangzhouGuangdongChina
| | - Emily R. Lines
- Department of GeographyUniversity of CambridgeCambridgeUK
| | - Hongyan Liu
- College of Urban and Environmental Sciences and MOE Laboratory for Earth Surface ProcessesPeking UniversityBeijingChina
| | - Craig Lorimer
- Department of Forest and Wildlife EcologyUniversity of Wisconsin‐MadisonMadisonWisconsinUSA
| | - Jean‐Joël Loumeto
- Laboratoire de Biodiversité, de Gestion des Ecosystèmes et de l'Environnement (LBGE), Faculté des Sciences et TechniquesUniversité Marien NgouabiBrazzavilleRepublic of Congo
| | - Yadvinder Malhi
- Environmental Change Institute, School of Geography and the EnvironmentUniversity of OxfordOxfordUK
| | - Peter L. Marshall
- Faculty of ForestryUniversity of British ColumbiaVancouverBritish ColumbiaCanada
| | - Eskil Mattsson
- IVL Swedish Environmental Research InstituteGöteborgSweden
- Gothenburg Global Biodiversity Centre (GGBC), GothenburgSweden
| | - Radim Matula
- Faculty of Forestry and Wood SciencesCzech University of Life Sciences Prague, Prague 6SuchdolCzech Republic
| | - Jorge A. Meave
- Departamento de Ecología y Recursos Naturales, Facultad de CienciasUniversidad Nacional Autónoma de México, CoyoacánCiudad de MéxicoMexico
| | - Sylvanus Mensah
- Laboratoire de Biomathématiques et d'Estimations Forestières, Faculté des Sciences AgronomiquesUniversité d'Abomey CalaviCotonouBenin
| | - Xiangcheng Mi
- State Key Laboratory of Vegetation and Environmental Change, Institute of BotanyChinese Academy of SciencesBeijingChina
| | - Stéphane Momo
- AMAP LabMontpellier University, IRD, CIRAD, CNRS, INRAEMontpellierFrance
- Laboratoire de Botanique systématique et d'Ecologie, Département des Sciences Biologiques, Ecole Normale SupérieureUniversité de Yaoundé IYaoundéCameroon
| | - Glenn R. Moncrieff
- Fynbos Node, South African Environmental Observation NetworkClaremontSouth Africa
- Centre for Statistics in Ecology, Environment and Conservation, Department of Statistical SciencesUniversity of Cape TownRondeboschSouth Africa
| | - Francisco Mora
- Instituto de Investigaciones en Ecosistemas y Sustentabilidad, Universidad Nacional Autónoma de MéxicoMoreliaMichoacánMexico
| | - Sarath P. Nissanka
- Department of Crop Science, Faculty of AgricultureUniversity of PeradeniyaPeradeniyaSri Lanka
| | | | | | - Raphaël Pelissier
- AMAP LabMontpellier University, IRD, CIRAD, CNRS, INRAEMontpellierFrance
| | - Pablo L. Peri
- Universidad Nacional de la Patagonia Austral (UNPA) ‐ Instituto Nacional de Tecnología Agropecuaria (INTA) ‐ CONICETRío GallegosSanta CruzArgentina
| | - Pierre Ploton
- AMAP LabMontpellier University, IRD, CIRAD, CNRS, INRAEMontpellierFrance
| | - Lourens Poorter
- Forest Ecology and Forest Management GroupWageningen UniversityWageningenThe Netherlands
| | | | - Hassan Pourbabaei
- Department of Forestry, Faculty of Natural ResourcesUniversity of GuilanSomehsaraIran
| | - Juan Manuel Dupuy‐Rada
- Centro de Investigación Científica de Yucatán A.C., Unidad de Recursos NaturalesMéridaYucatánMexico
| | - Sabina C. Ribeiro
- Centro de Ciências Biológicas e da NaturezaUniversidade Federal do Acre, Campus UniversitárioRio BrancoBrazil
| | - Casey Ryan
- School of GeoSciencesUniversity of EdinburghEdinburghUK
| | - Anvar Sanaei
- Systematic Botany and Functional Biodiversity, Institute of BiologyLeipzig UniversityLeipzigGermany
| | | | - Michael Schlund
- Department of Natural Resources, Faculty of Geo‐information Science and Earth Observation (ITC)University of TwenteEnschedeThe Netherlands
| | - Giacomo Sellan
- UMR EcoFoG, CNRSKourouFrench Guiana
- Department of Natural SciencesManchester Metropolitan UniversityManchesterUK
| | - Alexander Shenkin
- Environmental Change Institute, School of Geography and the EnvironmentUniversity of OxfordOxfordUK
| | - Bonaventure Sonké
- Laboratoire de Botanique systématique et d'Ecologie, Département des Sciences Biologiques, Ecole Normale SupérieureUniversité de Yaoundé IYaoundéCameroon
| | - Frank J. Sterck
- Forest Ecology and Forest Management GroupWageningen UniversityWageningenThe Netherlands
| | - Martin Svátek
- Department of Forest Botany, Dendrology and Geobiocoenology, Faculty of Forestry and Wood TechnologyMendel University in BrnoBrnoCzech Republic
| | - Kentaro Takagi
- Field Science Center for Northern BiosphereHokkaido UniversityHoronobeJapan
| | - Anna T. Trugman
- Department of GeographyUniversity of California Santa BarbaraSanta BarbaraCaliforniaUSA
| | - Farman Ullah
- Forest Ecology Research Group, College of Life SciencesHebei UniversityBaodingHebeiChina
- Department of Forest Resources Management, College of ForestryNanjing Forestry UniversityNanjingJiangsuChina
| | | | - Ahmad Valipour
- Department of Forestry and The Center for Research and Development of Northern Zagros ForestryUniversity of KurdistanErbilIran
| | | | - Alejandra G. Vovides
- School of Geographical and Earth SciencesUniversity of Glasgow, East QuadrangleGlasgowUK
| | - Weiwei Wang
- State Key Laboratory of Vegetation and Environmental Change, Institute of BotanyChinese Academy of SciencesBeijingChina
| | - Li‐Qiu Wang
- Department of Forest Resources Management, College of ForestryNanjing Forestry UniversityNanjingJiangsuChina
| | - Christian Wirth
- Systematic Botany and Functional Biodiversity, Institute of BiologyUniversity of LeipzigLeipzigGermany
- German Centre for Integrative Biodiversity Research (iDiv) Halle‐Jena‐LeipzigLeipzigGermany
| | - Murray Woods
- Ontario Ministry of Natural ResourcesNorth BayOntarioCanada
| | - Wenhua Xiang
- Faculty of Life Science and TechnologyCentral South University of Forestry and TechnologyChangshaHunanChina
| | | | - Yaozhan Xu
- State Key Laboratory of Aquatic Botany and Watershed EcologyWuhan Botanical Garden, Chinese Academy of SciencesWuhanChina
- Center of Conservation Biology, Core Botanical GardensChinese Academy of SciencesWuhanChina
| | - Toshihiro Yamada
- Graduate School of Integrated Sciences of LifeHiroshima UniversityHiroshimaJapan
| | - Miguel A. Zavala
- Forest Ecology and Restoration Group (FORECO), Departamento de Ciencias de la VidaUniversidad de AlcaláMadridSpain
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4
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Gu L, O'Hara KL, Li W, Gong Z. Spatial patterns and interspecific associations among trees at different stand development stages in the natural secondary forests on the Loess Plateau, China. Ecol Evol 2019; 9:6410-6421. [PMID: 31236231 PMCID: PMC6580295 DOI: 10.1002/ece3.5216] [Citation(s) in RCA: 11] [Impact Index Per Article: 2.2] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/26/2017] [Revised: 03/24/2019] [Accepted: 04/06/2019] [Indexed: 11/09/2022] Open
Abstract
Quercus wutaishansea populations on the Loess Plateau are currently becoming more dominant in natural secondary forests, whereas Pinus tabulaeformis is declining. In the present paper, the diameter class (instead of age) was used to classify the different growth stages as juvenile, subadult, or adult, and the univariate function g(r) was used to analyze the dynamic changes in spatial patterns and interspecific associations in three 1-ha tree permanent plots on the Loess Plateau, NW China. Our results suggested that the niche breadth changed with the development stage. The diameter distribution curve was consistent with the inverted "J" type, indicating that natural regeneration was common in all three plots. There was a close relationship between the spatial pattern and scale, which showed significant aggregation at small distances, and became more random as distance increased, but in the Pinus + Quercus mixed forests, the whole species were aggregated at distances up to 50 m. The degree of spatial clumping decreased from juvenile to subadult and from subadult to adult. The spatial pattern also differed at different growth stages, likely due to strong intraspecific competition. Associations among different growth stages were positively correlated at small scales. Our study is important to the understanding of the development of the Q. wutaishansea forests; thus, the spatial dynamic change features should be received greater attention when planning forest management and developing restoration strategies on the Loess Plateau.
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Affiliation(s)
- Li Gu
- College of ForestryNorthwest A&F UniversityYanglingChina
| | - Kevin L. O'Hara
- Department of Environmental Science, Policy & ManagementUC BerkeleyBerkeleyCalifornia
| | - Wei‐zhong Li
- College of ForestryNorthwest A&F UniversityYanglingChina
| | - Zhi‐wen Gong
- College of Economics and Management, Research Center of Resource Economics and Environment ManagementNorthwest A&F UniversityYanglingChina
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5
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Shive KL, Preisler HK, Welch KR, Safford HD, Butz RJ, O'Hara KL, Stephens SL. From the stand scale to the landscape scale: predicting the spatial patterns of forest regeneration after disturbance. Ecol Appl 2018; 28:1626-1639. [PMID: 29809291 DOI: 10.1002/eap.1756] [Citation(s) in RCA: 14] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 02/13/2018] [Revised: 04/18/2018] [Accepted: 04/27/2018] [Indexed: 06/08/2023]
Abstract
Shifting disturbance regimes can have cascading effects on many ecosystems processes. This is particularly true when the scale of the disturbance no longer matches the regeneration strategy of the dominant vegetation. In the yellow pine and mixed conifer forests of California, over a century of fire exclusion and the warming climate are increasing the incidence and extent of stand-replacing wildfire; such changes in severity patterns are altering regeneration dynamics by dramatically increasing the distance from live tree seed sources. This has raised concerns about limitations to natural reforestation and the potential for conversion to non-forested vegetation types, which in turn has implications for shifts in many ecological processes and ecosystem services. We used a California region-wide data set with 1,848 plots across 24 wildfires in yellow pine and mixed conifer forests to build a spatially explicit habitat suitability model for forecasting postfire forest regeneration. To model the effect of seed availability, the critical initial biological filter for regeneration, we used a novel approach to predicting spatial patterns of seed availability by estimating annual seed production from existing basal area and burn severity maps. The probability of observing any conifer seedling in a 60-m2 area (the field plot scale) was highly dependent on 30-yr average annual precipitation, burn severity, and seed availability. We then used this model to predict regeneration probabilities across the entire extent of a "new" fire (the 2014 King Fire), which highlights the spatial variability inherent in postfire regeneration patterns. Such forecasts of postfire regeneration patterns are of importance to land managers and conservationists interested in maintaining forest cover on the landscape. Our tool can also help anticipate shifts in ecosystem properties, supporting researchers interested in investigating questions surrounding alternative stable states, and the interaction of altered disturbance regimes and the changing climate.
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Affiliation(s)
- Kristen L Shive
- Department of Environmental Science, Policy and Management, University of California, Berkeley, California, 94703, USA
| | - Haiganoush K Preisler
- USDA Forest Service, Pacific Southwest Research Station, Albany, California, 94710, USA
| | - Kevin R Welch
- Department of Environmental Science and Policy, University of California, Davis, California, 95616, USA
| | - Hugh D Safford
- USDA Forest Service, Pacific Southwest Region, Vallejo, California, 94592, USA
- Department of Environmental Science and Policy, University of California, Davis, California, 95616, USA
| | - Ramona J Butz
- USDA Forest Service, Pacific Southwest Region, Vallejo, California, 94592, USA
- Department of Forestry and Wildland Resources, Humboldt State University, Arcata, California, 95521, USA
| | - Kevin L O'Hara
- Department of Environmental Science, Policy and Management, University of California, Berkeley, California, 94703, USA
| | - Scott L Stephens
- Department of Environmental Science, Policy and Management, University of California, Berkeley, California, 94703, USA
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6
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Jones DA, O'Hara KL. The influence of preparation method on measured carbon fractions in tree tissues. Tree Physiol 2016; 36:1177-1189. [PMID: 27329294 DOI: 10.1093/treephys/tpw051] [Citation(s) in RCA: 5] [Impact Index Per Article: 0.6] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 11/09/2015] [Accepted: 05/22/2016] [Indexed: 06/06/2023]
Abstract
Carbon fractions of tree tissues are a key component of forest carbon mass estimation. Several methods have been used to measure carbon fractions, yet no comprehensive comparison between methods has been performed. We found significant differences between carbon fractions derived from four sample preparation methods: oven-drying, vacuum desiccation, freeze-drying, and a new method that consisted of (i) not drying samples, (ii) cutting samples instead of grinding them, (iii) measuring carbon content of samples, (iv) oven-drying remaining sample material and (v) using mass measurements of remaining sample material before and after oven-drying to adjust measured carbon fraction values to an oven-dry basis (minimize the loss of carbon (MLC) method). Oven-drying, freeze-drying and vacuum desiccation resulted in lower average carbon fraction estimates than the MLC method, suggesting that they do not capture as much of the carbon present in tree tissues. Further analysis showed significant, though small, differences in carbon fractions between powdered samples and samples excised from tree core segments with a razor blade. Powdered samples were found to have lower carbon fractions than the excised samples, indicating that some carbon is lost when samples are powdered instead of cut. Utilization of the MLC method captured an average of 1.4% more carbon on an oven-drying basis than freeze-drying, the next best method. Additionally, when applied to different tree tissue types, these methods measured different volatile carbon fractions, indicating that studies attempting to quantify volatile carbon and total carbon fraction in trees should measure all tissue types present.
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Affiliation(s)
- Dryw A Jones
- University of California at Berkeley, 130 Mulford Hall, Berkeley, CA 94720-3114, USA
| | - Kevin L O'Hara
- University of California at Berkeley, 130 Mulford Hall, Berkeley, CA 94720-3114, USA
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Falster DS, Duursma RA, Ishihara MI, Barneche DR, FitzJohn RG, Vårhammar A, Aiba M, Ando M, Anten N, Aspinwall MJ, Baltzer JL, Baraloto C, Battaglia M, Battles JJ, Bond-Lamberty B, van Breugel M, Camac J, Claveau Y, Coll L, Dannoura M, Delagrange S, Domec JC, Fatemi F, Feng W, Gargaglione V, Goto Y, Hagihara A, Hall JS, Hamilton S, Harja D, Hiura T, Holdaway R, Hutley LS, Ichie T, Jokela EJ, Kantola A, Kelly JWG, Kenzo T, King D, Kloeppel BD, Kohyama T, Komiyama A, Laclau JP, Lusk CH, Maguire DA, le Maire G, Mäkelä A, Markesteijn L, Marshall J, McCulloh K, Miyata I, Mokany K, Mori S, Myster RW, Nagano M, Naidu SL, Nouvellon Y, O'Grady AP, O'Hara KL, Ohtsuka T, Osada N, Osunkoya OO, Peri PL, Petritan AM, Poorter L, Portsmuth A, Potvin C, Ransijn J, Reid D, Ribeiro SC, Roberts SD, Rodríguez R, Saldaña-Acosta A, Santa-Regina I, Sasa K, Selaya NG, Sillett SC, Sterck F, Takagi K, Tange T, Tanouchi H, Tissue D, Umehara T, Utsugi H, Vadeboncoeur MA, Valladares F, Vanninen P, Wang JR, Wenk E, Williams R, de Aquino Ximenes F, Yamaba A, Yamada T, Yamakura T, Yanai RD, York RA. BAAD: a Biomass And Allometry Database for woody plants. Ecology 2015. [DOI: 10.1890/14-1889.1] [Citation(s) in RCA: 96] [Impact Index Per Article: 10.7] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/18/2022]
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9
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York RA, O'Hara KL, Battles JJ. Density Effects on Giant Sequoia (Sequoiadendron giganteum) Growth Through 22 Years: Implications for Restoration and Plantation Management. ACTA ACUST UNITED AC 2013. [DOI: 10.5849/wjaf.12-017] [Citation(s) in RCA: 22] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/27/2022]
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O'Hara KL, Leonard LP, Keyes CR. Variable-Density Thinning and a Marking Paradox: Comparing Prescription Protocols to Attain Stand Variability in Coast Redwood. ACTA ACUST UNITED AC 2012. [DOI: 10.5849/wjaf.11-042] [Citation(s) in RCA: 16] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/27/2022]
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O'Hara KL, Nesmith JCB, Leonard L, Porter DJ. Restoration of Old Forest Features in Coast Redwood Forests Using Early-stage Variable-density Thinning. Restor Ecol 2010. [DOI: 10.1111/j.1526-100x.2010.00655.x] [Citation(s) in RCA: 50] [Impact Index Per Article: 3.6] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/27/2022]
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Waring KM, O'Hara KL. Stand Development and Tree Growth Response to Sugar Pine Mortality in Sierran Mixed-Conifer Forests. Northwest Science 2009. [DOI: 10.3955/046.083.0201] [Citation(s) in RCA: 5] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 11/06/2022]
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Abstract
Abstract
Forest managers are expressing a growing interest in proactively reducing susceptibility to crown fires, but the quantitative basis for defining specific stand targets and prescribing silvicultural regimes for this objective is lacking. A procedure is presented for creating resistant stand structures that exploits the relationship between crown fire development and characteristics of stand structure. The BEHAVE surface fire model was integrated with modified versions of the Van Wagner crown ignition and crown fire spread equations in order to quantify structural targets for mitigative silvicultural practices. The procedure tolerates an array of input data types for weather, site, and surface fuel variables so that hazard-reducing guidelines are tailored to specific site and stand conditions. Suggested strategies for achieving crown fire-resistant stand targets include pruning, low thinning, and surface fuel management. West. J. Appl. For. 17(2):101–109.
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Affiliation(s)
- Christopher R. Keyes
- Department of Forestry and Watershed Management, Humboldt State University, Arcata, CA 95521-8299
| | - Kevin L. O'Hara
- Division of Forest Science, 145 Mulford Hall University of California, Berkeley, CA, 94720-3114
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O'Hara KL, Latham PA, Hessburg P, Smith BG. Technical Commentary: A Structural Classification for Inland Northwest Forest Vegetation. ACTA ACUST UNITED AC 1996. [DOI: 10.1093/wjaf/11.3.97] [Citation(s) in RCA: 56] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/12/2022]
Affiliation(s)
- Kevin L. O'Hara
- School of Forestry, University of Montana, Missoula, MT 59812
| | | | - Paul Hessburg
- Pacific Northwest Research Station, USDA Forest Service, Wenatchee, WA 98801
| | - Bradley G. Smith
- Pacific Northwest Research Station, USDA Forest Service, Wenatchee, WA 98801
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Abstract
Abstract
Representative plots in four mixed species, upland hardwood stands in the North Carolina Piedmont were reconstructed to determine height and diameter development patterns. The reconstructed stands were typical of those found in the southeastern United States with variable age structures but still predominantly even-aged. In all four sample plots yellow-poplar (Liriodendron tulipifera L.) dominated the oaks (Quercus spp.) and hickories (Carya spp.) for at least 80 years, even when the oaks and hickories were older, residual stems originating before the disturbance that initiated the stand. Suppressed, residual oaks, released by the disturbance, grew more slowly and were of poorer quality and less desirable for commercial uses than the younger oaks, which began height growth immediately after this disturbance. South. J. Appl. For. 10:244-248, Nov. 1986.
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Affiliation(s)
- Kevin L. O'Hara
- School of Forestry and Environmental Studies, Duke University, Durham, North Carolina
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