Ecological classification can help with assisted plant migration in forestry, nature conservation, and landscape planning
暂无分享,去创建一个
P. Lukeš | P. Maděra | J. Šebesta | A. Kusbach | Petr Dujka | R. DeRose
[1] F. Attorre,et al. Climate change effects on the potential distribution of the endemic Commiphora species (Burseraceae) on the island of Socotra , 2023, Frontiers in Forests and Global Change.
[2] M. de Groot,et al. When tree diversity does not work: The interacting effects of tree diversity, altitude and amount of spruce on European spruce bark beetle outbreaks , 2023, Forest Ecology and Management.
[3] Y. Bao,et al. Quantifying the Contribution of Driving Factors on Distribution and Change of Net Primary Productivity of Vegetation in the Mongolian Plateau , 2023, Remote. Sens..
[4] L. Zejdová,et al. UAV Inventory of the Last Remaining Dragon Tree Forest on Earth , 2023, Forests.
[5] J. Camarero,et al. A rapid transition from spruce-fir to pine-broadleaf forests in response to disturbances and climate warming on the southeastern Qinghai-Tibet Plateau , 2023, Plant Diversity.
[6] T. Maraseni,et al. Forest Governance in Nepal Concerning Sustainable Community Forest Management and Red Panda Conservation , 2023, Land.
[7] G. Murariu,et al. The Configuration of Romanian Carpathians Landscape Controls the Volume Diversity of Picea Abies (L.) Stands , 2023, Land.
[8] P. Zhang,et al. Spatio-Temporal Diversity in the Link between Tree Radial Growth and Remote Sensing Vegetation Index of Qinghai Spruce on the Northeastern Margin of the Tibetan Plateau , 2023, Forests.
[9] Cornelius Senf,et al. Alternative states in the structure of mountain forests across the Alps and the role of disturbance and recovery , 2023, Landscape Ecology.
[10] L. Anderegg. Why can't we predict traits from the environment? , 2022, The New phytologist.
[11] C. Swanston,et al. Operationalizing forest‐assisted migration in the context of climate change adaptation: Examples from the eastern USA , 2022, Ecosphere.
[12] Kendra L Garner,et al. Downscaling approaches of climate change projections for watershed modeling: Review of theoretical and practical considerations , 2022, PLOS Water.
[13] N. Boers,et al. Empirical evidence for recent global shifts in vegetation resilience , 2022, Nature Climate Change.
[14] M. A. Musa,et al. Endangered Dracaena ombet Population in the Red Sea Hills, Sudan, Recovers After Abrupt Change , 2022, Frontiers in Environmental Science.
[15] A. Moles,et al. Alpine plants are on the move: Quantifying distribution shifts of Australian alpine plants through time , 2022, Diversity and Distributions.
[16] V. Fomin,et al. Experience of Forest Ecological Classification in Assessment of Vegetation Dynamics , 2022, Sustainability.
[17] Daniel M. Griffith,et al. Representing plant diversity in land models: An evolutionary approach to make “Functional Types” more functional , 2021, Global change biology.
[18] M. Trnka,et al. Evaluating Recent and Future Climatic Suitability for the Cultivation of Norway Spruce in the Czech Republic in Comparison with Observed Tree Cover Loss between 2001 and 2020 , 2021, Forests.
[19] A. Hastings,et al. Contrasting plant responses to multivariate environmental variations among species with divergent elevation shifts , 2021, Ecological applications : a publication of the Ecological Society of America.
[20] Lisa M. Holsinger,et al. Bioclimatic modeling of potential vegetation types as an alternative to species distribution models for projecting plant species shifts under changing climates , 2020 .
[21] P. Štěpánek,et al. Evidence of climate-induced stress of Norway spruce along elevation gradient preceding the current dieback in Central Europe , 2020, Trees.
[22] A. Prasad,et al. Combining US and Canadian forest inventories to assess habitat suitability and migration potential of 25 tree species under climate change , 2020, Diversity and Distributions.
[23] D. Gömöry,et al. Assisted migration vs. close-to-nature forestry: what are the prospects for tree populations under climate change? , 2020, Central European Forestry Journal.
[24] Christopher D. O’Connor,et al. Continental‐scale tree‐ring‐based projection of Douglas‐fir growth: Testing the limits of space‐for‐time substitution , 2020, Global change biology.
[25] Eija Honkavaara,et al. A Novel Deep Learning Method to Identify Single Tree Species in UAV-Based Hyperspectral Images , 2020, Remote. Sens..
[26] K. Potter,et al. New Seed-Collection Zones for the Eastern United States: The Eastern Seed Zone Forum , 2020, Journal of Forestry.
[27] Hongyan Liu,et al. A global view of aspen: Conservation science for widespread keystone systems , 2020 .
[28] K. Török,et al. Seed transfer zones based on environmental variables better reflect variability in vegetation than administrative units: evidence from Hungary , 2020, Restoration Ecology.
[29] Deren Li,et al. A review of vegetation phenological metrics extraction using time-series, multispectral satellite data , 2020 .
[30] A. Prasad,et al. Facilitating Adaptive Forest Management under Climate Change: A Spatially Specific Synthesis of 125 Species for Habitat Changes and Assisted Migration over the Eastern United States , 2019, Forests.
[31] Z. Fan,et al. Shifts of the Mean Centers of Potential Vegetation Ecosystems under future climate change in Eurasia , 2019, Forests.
[32] Radim Adolt,et al. Forest Management Plan in Domogt Sharyn Gol, Mongolia is Elaborated on Ecological and Sustainable Principles , 2019, Journal of Landscape Ecology.
[33] I. Machar,et al. Environmental Modelling of Forest Vegetation Zones as A Support Tool for Sustainable Management of Central European Spruce Forests , 2018, Journal of Landscape Ecology.
[34] D. Stralberg,et al. Wildfire‐mediated vegetation change in boreal forests of Alberta, Canada , 2018 .
[35] L. Frelich,et al. How much does climate change threaten European forest tree species distributions? , 2018, Global change biology.
[36] Juha Hyyppä,et al. Assessing Biodiversity in Boreal Forests with UAV-Based Photogrammetric Point Clouds and Hyperspectral Imaging , 2018, Remote. Sens..
[37] Antonin Kusbach,et al. Czech forest ecosystem classification , 2018 .
[38] Timothy A. Warner,et al. Implementation of machine-learning classification in remote sensing: an applied review , 2018 .
[39] D. Meidinger,et al. The Biogeoclimatic Ecosystem Classification Approach: an ecological framework for vegetation classification , 2017 .
[40] T. Mikita,et al. Assessing Forest Classification in a Landscape-Level Framework: An Example from Central European Forests , 2017 .
[41] Stephen E. Fick,et al. WorldClim 2: new 1‐km spatial resolution climate surfaces for global land areas , 2017 .
[42] M. Trnka,et al. Temporal changes in the climate sensitivity of Norway spruce and European beech along an elevation gradient in Central Europe , 2017 .
[43] Andrea Berton,et al. Forestry applications of UAVs in Europe: a review , 2017 .
[44] V. Fomin,et al. Historical avenues of research in Russian forest typology: ecological, phytocoenotic, genetic, and dynamic classifications , 2017 .
[45] Vit Vozenilek,et al. Modelling of Climate Conditions in Forest Vegetation Zones as a Support Tool for Forest Management Strategy in European Beech Dominated Forests , 2017 .
[46] Michael A. Lefsky,et al. Review of studies on tree species classification from remotely sensed data , 2016 .
[47] C. Périé,et al. Dominant forest tree species are potentially vulnerable to climate change over large portions of their range even at high latitudes , 2016, PeerJ.
[48] L. Wallace,et al. Assessment of Forest Structure Using Two UAV Techniques: A Comparison of Airborne Laser Scanning and Structure from Motion (SfM) Point Clouds , 2016 .
[49] I. Machar,et al. The Application of Geobiocoenological Landscape Typology in The Modelling of Climate Change Implications , 2015 .
[50] Jens-Christian Svenning,et al. Strong upslope shifts in Chimborazo's vegetation over two centuries since Humboldt , 2015, Proceedings of the National Academy of Sciences.
[51] S. Aitken,et al. Time to get moving: assisted gene flow of forest trees , 2015, Evolutionary applications.
[52] Joanne C. White,et al. Forest Monitoring Using Landsat Time Series Data: A Review , 2014 .
[53] Laura Boisvert-Marsh,et al. Shifting with climate? Evidence for recent changes in tree species distribution at high latitudes , 2014 .
[54] Sergey Paltsev,et al. Potential influence of climate-induced vegetation shifts on future land use and associated land carbon fluxes in Northern Eurasia , 2014 .
[55] M. Petr,et al. First Proposal Of Seed Regions For Frankincense Trees (Boswellia Spp.) On Socotra Island , 2013 .
[56] M. Whitlock,et al. Assisted Gene Flow to Facilitate Local Adaptation to Climate Change , 2013 .
[57] Mary I. Williams,et al. Preparing for climate change: Forestry and assisted migration , 2013 .
[58] J. Chanussot,et al. Hyperspectral Remote Sensing Data Analysis and Future Challenges , 2013, IEEE Geoscience and Remote Sensing Magazine.
[59] Achim Zeileis,et al. Shifts in Global Vegetation Activity Trends , 2013, Remote. Sens..
[60] E. Campbell,et al. Projecting future distributions of ecosystem climate niches: Uncertainties and management applications , 2012 .
[61] L. Iverson,et al. Placing Forestry in the Assisted Migration Debate , 2012 .
[62] M. Araújo,et al. Uses and misuses of bioclimatic envelope modeling. , 2012, Ecology.
[63] S. Haeussler. Rethinking biogeoclimatic ecosystem classification for a changing world , 2011 .
[64] Ming Li,et al. Interdecadal changes of vegetation transition zones and their responses to climate in Northeast China , 2011 .
[65] E. Zenner,et al. Site Classification Systems Could Link Social and Ecological Management Constraints , 2011, Journal of Forestry.
[66] M. Araújo,et al. The concept of potential natural vegetation: an epitaph? , 2010 .
[67] E. Zenner,et al. Combining Ecological Classification Systems and Conservation Filters Could Facilitate the Integration of Wildlife and Forest Management , 2010, Journal of Forestry.
[68] L. Stejneger,et al. Results of a Biological Survey of the San Francisco Mountain Region and Desert of the Little Colorado, Arizona , 2010 .
[69] E. Veenendaal,et al. Plant–soil interactions in the expansion and native range of a poleward shifting plant species , 2010 .
[70] D. Ray,et al. Developing a site classification system to assess the impact of climate change on species selection in Ireland. , 2009 .
[71] S. V. Osipov,et al. Classification and Phytogeography of Larch Forests of Northeast Asia , 2009, Folia Geobotanica.
[72] V. Lieffers,et al. Disturbance facilitates rapid range expansion of aspen into higher elevations of the Rocky Mountains under a warming climate , 2009 .
[73] D. McKenney,et al. Climate change and forest seed zones: Past trends, future prospects and challenges to ponder , 2009 .
[74] E. Marris. Moving on assisted migration , 2008 .
[75] S. G. Nelson,et al. Relationship Between Remotely-sensed Vegetation Indices, Canopy Attributes and Plant Physiological Processes: What Vegetation Indices Can and Cannot Tell Us About the Landscape , 2008, Sensors.
[76] K. Ranson,et al. Evidence of Evergreen Conifer Invasion into Larch Dominated Forests During Recent Decades in Central Siberia , 2007 .
[77] A. Barbati,et al. A forest typology for monitoring sustainable forest management: The case of European Forest Types , 2007 .
[78] J. Larsen,et al. Nature-based forest management—Where are we going? Elaborating forest development types in and with practice , 2007 .
[79] M. Austin. Species distribution models and ecological theory: A critical assessment and some possible new approaches , 2007 .
[80] C. Ying,et al. The development of British Columbia's tree seed transfer guidelines: Purpose, concept, methodology, and implementation , 2006 .
[81] D. Lu. The potential and challenge of remote sensing‐based biomass estimation , 2006 .
[82] R. Frondoni,et al. Defining and mapping typological models at the landscape scale , 2005 .
[83] R. Cronn,et al. Pacific Northwest Forest Tree Seed Zones: A Template for Native Plants? , 2004 .
[84] T. Dawson,et al. Predicting the impacts of climate change on the distribution of species: are bioclimate envelope models useful? , 2003 .
[85] H. Bugmann. A Review of Forest Gap Models , 2001 .
[86] M. Carranza,et al. Ecosystem classification and mapping: a proposal for Italian landscapes. , 2000 .
[87] R. Dubayah,et al. Lidar Remote Sensing for Forestry , 2000, Journal of Forestry.
[88] G. Walther,et al. Simulation of observed types of dynamics of plants and plant communities , 2000 .
[89] F. Dahdouh-Guebas,et al. The importance of a hierarchical ecosystem classification for the biological evaluation and selection of least valuable sites , 1998 .
[90] J. C. Ritchie. Current trends in studies of long-term plant community dynamics. , 1995, The New phytologist.
[91] D. Meidinger,et al. Biogeoclimatic ecosystem classification in British Columbia , 1987 .
[92] F. D. Johnson,et al. Mature forest seed banks of three habitat types in central Idaho , 1987 .
[93] F. Hall. Viewpoint: The habitat type controversy; two common concepts. , 1985 .
[94] A. W. Damman. The Role of Vegetation Analysis in Land Classification , 1979 .
[95] Robert G. Bailey,et al. Nature of Land and Resource Classification--A Review , 1978, Journal of Forestry.
[96] Robert H. Whittaker,et al. Vegetation of the Santa Catalina Mountains, Arizona: A Gradient Analysis of the South Slope , 1965 .
[97] A. W. Damman. Some Forest Types of Central Newfoundland and their Relation to Environmental Factors , 1964 .
[98] C. Christian,et al. Land research in Northern Australia , 1960 .
[99] V. Sukachev. On the Principles of Genetic Classification in Biocenology) , 1958 .
[100] Jack Major,et al. A Functional, Factorial Approach to Plant Ecology , 1951 .
[101] L. Holdridge. Determination of World Plant Formations From Simple Climatic Data. , 1947, Science.
[102] R. Daubenmire. Vegetational zonation in the Rocky Mountains , 1943, The Botanical Review.
[103] Frederic E. Clements,et al. Nature and Structure of the Climax , 1936 .
[104] J. N. Long,et al. Utah State University From the SelectedWorks of James Long 2014 Discriminant analysis reveals limited association between forest habitat types and the environment in western United States land classification , 2017 .
[105] Robin J. Tausch,et al. Pinon and Juniper Field Guide: Asking the Right Questions to Select Appropriate Management Actions , 2007 .
[106] C. Mátyás. Climatic adaptation of trees: rediscovering provenance tests , 2004, Euphytica.
[107] K. Klinka,et al. Introduction-global to local: Ecological Land Classification , 1996, Environmental monitoring and assessment.
[108] Thomas M. Smith,et al. Modeling the Potential Response of Vegetation to Global Climate Change , 1992 .
[109] R. Peet. Forests of the Rocky Mountains , 1988 .
[110] W. F. Mueggler. Aspen community types of the Intermountain Region , 1988 .
[111] J. Henderson,et al. Coniferous forest habitat types of northern Utah. , 1984 .
[112] H. Ellenberg. Indicator values of vascular plants in central Europe. , 1974 .
[113] A. Cajander,et al. Forest types and their significance. , 1949 .
[114] C. W. Thornthwaite. An approach toward a rational classification of climate. , 1948 .
[115] H. Gleason. The individualistic concept of the plant association , 1926 .
[116] A. Cajander,et al. Theory of forest types , 1926 .