Книги з теми "Spatial Ecosystems"

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1

Michael, Bevers, ed. Spatial optimization for managed ecosystems. New York: Columbia University Press, 1998.

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2

Keane, Robert E. Spatial variability of wildland fuel characteristics in northern Rocky Mountain ecosystems. Fort Collins, CO: U.S. Dept. of Agriculture, Forest Service, Rocky Mountain Research Station, 2012.

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3

Fortin, Marie-Jose e. Spatial analysis: A guide for ecologists. Cambridge, N.Y: Cambridge University Press, 2005.

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4

Little, Susan N. Distribution of biomass and nutrients in lodgepole pine/bitterbrush ecosystems in central Oregon. Portland, Ore: U.S. Dept. of Agriculture, Pacific Northwest Research Station, 1992.

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5

United States. National Aeronautics and Space Administration., ed. The role of tropical deforestation in the global carbon cycle: Spatial and temporal dynamics ; final technical report. [Washington, D.C: National Aeronautics and Space Administration, 1995.

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6

Monaco, Mark E., Simon Pittman, Alan M. Friedlander, Chris Caldow, Christopher Francis Jeffrey, and Sarah Hile. Coral reef ecosystems of St. John, U.S. Virgin Islands: Spatial and temporal patterns in fish and benthic communities (2001-2009). Edited by National Centers for Coastal Ocean Science (U.S.). Silver Spring, MD: U.S. Department of Commerce, National Oceanic and Atmospheric Administration, National Ocean Service, National Centers for Coastal Ocean Science, 2013.

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7

P, Parker Sybil, Corbitt Robert A, and McGraw-Hill inc, eds. McGraw-Hill encyclopedia of environmental science & engineering. 3rd ed. New York: McGraw-Hill, 1993.

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8

Ronchi, Silvia. Ecosystem Services for Spatial Planning. Cham: Springer International Publishing, 2018. http://dx.doi.org/10.1007/978-3-319-90185-5.

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9

Gurr, Jens Martin, Rolf Parr, and Dennis Hardt, eds. Metropolitan Research. Bielefeld, Germany: transcript Verlag, 2022. http://dx.doi.org/10.14361/9783839463109.

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Анотація:
Metropolitan research requires multidisciplinary perspectives in order to do justice to the complexities of metropolitan regions. This volume provides a scholarly and accessible overview of key methods and approaches in metropolitan research from a uniquely broad range of disciplines including architectural history, art history, heritage conservation, literary and cultural studies, spatial planning and planning theory, geoinformatics, urban sociology, economic geography, operations research, technology studies, transport planning, aquatic ecosystems research and urban epidemiology. It is this scope of disciplinary - and increasingly also interdisciplinary - approaches that allows metropolitan research to address recent societal challenges of urban life, such as mobility, health, diversity or sustainability.
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10

Nuttal, Pat, ed. Climate, ticks and disease. Wallingford: CABI, 2021. http://dx.doi.org/10.1079/9781789249637.0000.

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Анотація:
Abstract This book is a collection of 77 expert opinions arranged in three sections. Section 1 on "Climate" sets the scene, including predictions of future climate change, how climate change affects ecosystems, and how to model projections of the spatial distribution of ticks and tick-borne infections under different climate change scenarios. Section 2 on "Ticks" focuses on ticks (although tick-borne pathogens creep in) and whether or not changes in climate affect the tick biosphere, from physiology to ecology. Section 3 on "Disease" focuses on the tick-host-pathogen biosphere, ranging from the triangle of tick-host-pathogen molecular interactions to disease ecology in various regions and ecosystems of the world. Each of these three sections ends with a synopsis that aims to give a brief overview of all the expert opinions within the section. The book concludes with Section 4 (Final Synopsis and Future Predictions). This synopsis attempts to summarize evidence provided by the experts of tangible impacts of climate change on ticks and tick-borne infections. In constructing their expert opinions, contributors give their views on what the future might hold. The final synopsis provides a snapshot of their expert thoughts on the future.
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11

Chen, Zhi. Spatial Patterns and Mechanisms for Terrestrial Ecosystem Carbon Fluxes in the Northern Hemisphere. Singapore: Springer Singapore, 2018. http://dx.doi.org/10.1007/978-981-10-7703-6.

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12

E, Keane Robert, and Rocky Mountain Research Station (Fort Collins, Colo.), eds. Integrating ecosystem sampling, gradient modeling, remote sensing, and ecosystem simulation to create spatially explicit landscape inventories. Fort Collins, CO: U.S. Dept. of Agriculture, Forest Service, Rocky Mountain Research Station, 2002.

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13

D, Westervelt James, and Construction Engineering Research Laboratories (U.S.), eds. Dynamic, spatial, ecological modeling: A demonstrated simulation of the sage grouse habitat at the Yakima Training Center, Washington. [Champaign, Ill.]: US Army Corps of Engineers, Construction Engineering Research Laboratories, 1995.

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14

Hessburg, Paul F. Using estimates of natural variation to detect ecologically important change in forest spatial patterns: A case study, Cascade Range, Eastern Washington. [Portland, OR] (333 S.W. First Avenue, P.O. Box 3890, Portland, 97208-3890): U.S. Dept. of Agriculture, Forest Service, Pacific Northwest Research Station, 1999.

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15

Hessburg, Paul F. Using estimates of natural variation to detect ecologically important change in forest spatial patterns: A case study, Cascade Range, eastern Washington. Portland, Or. (333 S.W. First Ave., P.O. Box 3890, Portland 97208-3890): U.S. Dept. of Agriculture, Forest Service, Pacific Northwest Research Station, 1999.

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16

J, Brand Emily, United States. National Marine Fisheries Service., and Northwest Fisheries Science Center (U.S.), eds. A spatially explicit ecosystem model of the California Current's food web and oceanography. [Seattle, Wash.]: U.S. Dept. of Commerce, National Oceanic and Atmospheric Administration, National Marine Fisheries Service, 2007.

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17

Toxopeus, A. G. ISM: An interactive spatial and temporal modelling system as a tool in ecosystem management : with two case studies : Cibodas Biosphere Reserve, West Java, Indonesia, Amboseli Biosphere Reserve, Kajiado District, Central-Southern Kenya. Enschede, the Netherlands: ITC, 1996.

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18

1951-, Barendregt Aat, and Gilbert Alison J, eds. Spatial ecological-economic analysis for wetland management: Modelling and scenario evaluation of land use. Cambridge: Cambridge University Press, 2004.

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19

J, Pitcher Tony, Buchary Eny, Trujillo Pablo, and University of British Columbia. Fisheries Centre., eds. Spatial simulations of Hong Kong's marine ecosystem: Ecological and economic forecasting of marine protected areas with human-made reefs. Vancouver: Fisheries Centre, University of British Columbia, 2002.

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20

Friedlander, Alan M. Monitoring Hawaii's marine protected areas: Examining spatial and temporal trends using a seascape approach. Silver Spring, MD: U.S. Dept. of Commerce, National Oceanic and Atmospheric Administration, National Ocean Service, 2010.

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21

Nelson, Diane C. Geo - data collection & use (for ecosystem based management): Course number 1730-11. [Denver, Colo.]: U.S. Department of the Interior, Bureau of Land Management, 1995.

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22

1954-, Peterson David L., and Parker V. Thomas, eds. Ecological scale: Theory and applications. New York: Columbia University Press, 1998.

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23

Centre, Great Lakes Forestry. The derivation of spatially referenced ecological databases for ecosystem mapping and modeling in the Rinker Lake research area, Northwestern Ontario. Sault Ste. Marie, Ont: Great Lakes Forestry Centre, 1998.

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24

Spatial Optimization in Ecological Applications. Columbia University Press, 2002.

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25

Bevers, Michael, and John G. Hof. Spatial Optimization in Ecological Applications. Columbia University Press, 2002.

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26

Brönmark, Christer, and Lars-Anders Hansson. Food Web Interactions in Freshwater Ecosystems. Oxford University Press, 2017. http://dx.doi.org/10.1093/oso/9780198713593.003.0005.

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Анотація:
This chapter on food web interactions connects the organisms and their interactions with the abiotic frame and provides a helicopter perspective on the function of freshwater ecosystems. Initially, the theoretical basis for an ecosystem approach is outlined, including food web theory, the bottom-up and top-down concepts and how these have evolved in concert with empirical advances. Specifically, the concepts of cascading trophic interactions and alternative stable states are discussed both from a theoretical and empirical viewpoint, as well as in both benthic and pelagic habitats. This chapter links all components, from microbes to vertebrates, to temporal and spatial changes in abiotic features leading to successional patterns in populations and communities.
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27

From the Forest to the Sea - Public Lands Management and Marine Spatial Planning. Taylor & Francis Group, 2014.

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28

Gopnik, Morgan. From the Forest to the Sea - Public Lands Management and Marine Spatial Planning. Taylor & Francis Group, 2015.

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29

Gopnik, Morgan. From the Forest to the Sea - Public Lands Management and Marine Spatial Planning. Taylor & Francis Group, 2015.

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30

Cyronak, Tyler, Andrea J. Fassbender, Yuichiro Takeshita, Raquel Vaquer-Sunyer, Iris Eline Hendriks, and David Koweek, eds. Spatial and Temporal Variability of Seawater Chemistry in Coastal Ecosystems in the Context of Global Change. Frontiers Media SA, 2019. http://dx.doi.org/10.3389/978-2-88963-071-4.

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31

(Editor), N. Georgantzis, and I. J. Barreda Tarrazona (Editor), eds. Spatial Economics and Ecosystems: The Interaction between Economics and the Natural Environment (Advances in Ecological Sciences). Computational Mechanics, Inc., 2000.

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32

Moloney, Kirk A., and Thorsten Wiegand. Handbook of Spatial Point-Pattern Analysis in Ecology. Taylor & Francis Group, 2013.

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33

Imantho, Harry, Indah Wahyuni, Nijma Nurfadila, Riana Hartati, Risa Rosita, Shella Marlinda, Slamet Widodo Sugiarto, Trijanti A. Widinni Asnan, Anidah Anidah, and Armaiki Yusmur. BIODIVERS Volume 1 No. 1: Climate Change and Coastal Resilience. Edited by Sri Widayanti, Dewi Suryani, Evelyn V. Bigcas, and Woro Kanti Darmastuti. SEAMEO BIOTROP, 2022. http://dx.doi.org/10.56060/bdv.2022.1.1.

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Анотація:
BIODIVERS is a bi-annual publication that focuses on the Restoration and Conservation of Unique and Degraded Ecosystems, Sustainable of Management and Proper Utilization of Biodiversity, Bioenergy, Biotechnology to Support Food Security and on Strengthening Ecosystem Resilience in Facing Global Climate Change. This magazine also envisions becoming a popular scientific magazine for promoting and publishing research findings of scientists from SEAMEO BIOTROP and overseas. The articles will come from writers worldwide. This issue of BIODIVERS contains various articles addressed the issue on climate change and coastal resilience, including: Coastal and Marine Initiative to Climate Change: An Outlook Environment Vulnerability Decision Technology (EVDT): Mangrove Management Spatial Planning Based Ecosystem Adaptations in Indonesia GOI Initiatives Against Potential Risk of Climate Change Impact in Indonesia Extreme Climates in Coastal Cities Marine and Coastal Monitoring: Nanosatellites Technology
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34

Ecosystem Services, Green Infrastructure and Spatial Planning. MDPI, 2021. http://dx.doi.org/10.3390/books978-3-0365-1715-5.

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35

Spatial Pattern Dynamics in Aquatic Ecosystem Modelling. Routledge, 2009.

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36

Jeroen C. J. M. van den Bergh, Aat Barendregt, and Alison J. Gilbert. Spatial Ecological-Economic Analysis for Wetland Management: Modelling and Scenario Evaluation of Land Use. University of Cambridge ESOL Examinations, 2012.

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37

Jeroen C. J. M. Van den Bergh, Aat Barendregt, and Alison J. Gilbert. Spatial Ecological-economic Analysis for Wetland Management: Modelling and Scenario Evaluation of Land Use. Cambridge University Press, 2004.

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38

Jeroen C. J. M. van den Bergh, Aat Barendregt, and Alison J. Gilbert. Spatial Ecological-Economic Analysis for Wetland Management: Modelling and Scenario Evaluation of Land Use. Cambridge University Press, 2006.

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39

Jeroen C. J. M. van den Bergh, Aat Barendregt, and Alison J. Gilbert. Spatial Ecological-Economic Analysis for Wetland Management: Modelling and Scenario Evaluation of Land Use. Cambridge University Press, 2009.

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40

Jeroen C. J. M. Bergh, Aat Barendregt, and Alison J. Gilbert. Spatial Ecological-Economic Analysis for Wetland Management: Modelling and Scenario Evaluation of Land Use. Cambridge University Press, 2004.

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41

Jeroen C. J. M. van den Bergh, Aat Barendregt, and Alison J. Gilbert. Spatial Ecological-Economic Analysis for Wetland Management: Modelling and Scenario Evaluation of Land Use. Cambridge University Press, 2004.

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42

Li, Hong. Spatial Pattern Dynamics in Aquatic Ecosystem Modelling: UNESCO-IHE PhD Thesis. Taylor & Francis Group, 2017.

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43

Ronchi, Silvia, and Andrea Arcidiacono. Ecosystem Services and Green Infrastructure: Perspectives from Spatial Planning in Italy. Springer International Publishing AG, 2020.

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44

Ronchi, Silvia, and Andrea Arcidiacono. Ecosystem Services and Green Infrastructure: Perspectives from Spatial Planning in Italy. Springer International Publishing AG, 2021.

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45

Ronchi, Silvia. Ecosystem Services for Spatial Planning: Innovative Approaches and Challenges for Practical Applications. Springer, 2019.

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46

Chen, Zhi. Spatial Patterns and Mechanisms for Terrestrial Ecosystem Carbon Fluxes in the Northern Hemisphere. Springer, 2018.

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47

Chen, Zhi. Spatial Patterns and Mechanisms for Terrestrial Ecosystem Carbon Fluxes in the Northern Hemisphere. Springer, 2018.

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48

Ronchi, Silvia. Ecosystem Services for Spatial Planning: Innovative Approaches to and Challenges for Practical Applications. Springer International Publishing AG, 2018.

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49

Chen, Zhi. Spatial Patterns and Mechanisms for Terrestrial Ecosystem Carbon Fluxes in the Northern Hemisphere. Springer Singapore Pte. Limited, 2018.

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50

Newman, Chris, Christina D. Buesching, and David W. Macdonald. Meline mastery of meteorological mayhem: the effects of climate changeability on European badger population dynamics. Oxford University Press, 2018. http://dx.doi.org/10.1093/oso/9780198759805.003.0021.

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Анотація:
Adaptation to climatic conditions is a major ecological and evolutionary driver. Long-term study of European badger population dynamics in Oxfordshire reveals that rainfall and temperature patterns affect food (principally earthworm) availability, energy expended in thermoregulation, and activity patterns, with badgers able to seek refuge in their setts. Cubs prove especially vulnerable to harsh weather conditions, where drought and food shortages exacerbate the severity of pandemic juvenile coccidial parasite infections. Crucially, weather variability, rather than just warming trends, stresses badgers, by destabilising their bioclimatic niche. Summer droughts cause mortality, even driving genetic selection; and while milder winters generally benefit badgers, less time spent in torpor leads to more road casualties. Similar effects also operate over a wide spatial scale in Ireland, impacting regional badger densities and bodyweights. That even an adaptable, generalist musteloid is so variously susceptible to weather conditions highlights how climate change places many species and ecosystems at risk.
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