Spatial and temporal variability of future ecosystem services in an agricultural landscape

Context Sustaining ecosystem services requires enhanced understanding of their spatial–temporal dynamics and responses to drivers. To date, the majority of research has focused on snapshots of ecosystem services, and their spatial–temporal variability has seldom been studied. Objectives We aimed to address: (i) How is variability in ecosystem services partitioned among ‘space’ and ‘time’ components? (ii) Which ecosystem services are spatially/temporally coherent, and which are space–time incoherent? (iii) Are there consistent patterns in ecosystem service variability between urban- and rural-dominated landscapes? Methods Biophysical modeling was used to quantify food, water, and biogeochemical-related services from 2011 to 2070 under future scenarios. Linear mixed-effects models and variance partitioning were used to analyze spatial and temporal variability. Results Food production, water quality and flood regulation services were overall more variable than climate regulation and freshwater supply. ‘Space’ contributed to a majority of variations across most services, highlighting dominant importance of location-specific factors for service supply. Significant space–time interactions existed for water quality and soil carbon storage, indicating interactive effects between location- and time-specific factors. Variation in the relative controls of ‘space’ vs. ‘time’ factors between urban- and rural-dominated subwatersheds suggests that targeting different key drivers is needed for successful management of ecosystem services in urban vs. rural landscapes. Conclusions Our research reveals relative importance of underlying ‘space’ and ‘time’ controls for diverse ecosystem services. Our study presents a framework to investigate spatial–temporal variability of ecosystem services, and provides theoretical and practical implications for anticipating and managing the dynamics of future ecosystem services at the watershed scale.

[1]  George Perkins Marsh,et al.  Man and Nature , 2002 .

[2]  W. Vogt,et al.  Road to Survival , 1948 .

[3]  T. L. Scheid-Cook,et al.  A Sand County Almanac , 1949 .

[4]  H. Stommel,et al.  Varieties of Oceanographic Experience: The ocean can be investigated as a hydrodynamical phenomenon as well as explored geographically. , 1963, Science.

[5]  H. Stommel,et al.  Varieties of Oceanographic Experience , 1963 .

[6]  H. Delcourt,et al.  Dynamic plant ecology: the spectrum of vegetational change in space and time , 1982 .

[7]  J. Magnuson,et al.  Inferences from Spatial and Temporal Variability in Ecosystems: Long-Term Zooplankton Data from Lakes , 1987, The American Naturalist.

[8]  J. Magnuson,et al.  Temporal and Spatial Variability as Neglected Ecosystem Properties: Lessons Learned From 12 North American Ecosystems , 1995 .

[9]  W. Admiraal Evaluating and monitoring the health of large-scale ecosystems , 1995 .

[10]  I. C. Prentice,et al.  An integrated biosphere model of land surface processes , 1996 .

[11]  G. Daily Nature's services: societal dependence on natural ecosystems. , 1998 .

[12]  John J. Magnuson,et al.  Analysis of Large-Scale Spatial Heterogeneity in Vegetation Indices among North American Landscapes , 1998, Ecosystems.

[13]  Frederick J. Swanson,et al.  OVERVIEW OF THE USE OF NATURAL VARIABILITY CONCEPTS IN MANAGING ECOLOGICAL SYSTEMS , 1999 .

[14]  R. Loomes,et al.  Nature's Services: Societal Dependence on Natural Ecosystems , 2000 .

[15]  S. Carpenter,et al.  Hares and Tortoises: Interactions of Fast and Slow Variablesin Ecosystems , 2000, Ecosystems.

[16]  Eric F. Lambin,et al.  Are agricultural land-use models able to predict changes in land-use intensity? , 2000 .

[17]  Stephen R. Carpenter,et al.  Phosphorus Flow in a Watershed-Lake Ecosystem , 2000, Ecosystems.

[18]  Michael T. Coe,et al.  Testing the performance of a dynamic global ecosystem model: Water balance, carbon balance, and vegetation structure , 2000 .

[19]  C. Mclay,et al.  Predicting groundwater nitrate concentrations in a region of mixed agricultural land use: a comparison of three approaches. , 2001, Environmental pollution.

[20]  John J. A. Ingram,et al.  Managing carbon sequestration in soils: concepts and terminology , 2001 .

[21]  S. Wofsy,et al.  Factors Controlling Long- and Short-Term Sequestration of Atmospheric CO2 in a Mid-latitude Forest , 2001, Science.

[22]  Christopher J Kucharik,et al.  Integrated BIosphere Simulator (IBIS) yield and nitrate loss predictions for Wisconsin maize receiving varied amounts of nitrogen fertilizer. , 2003, Journal of environmental quality.

[23]  R. Holt,et al.  Meta‐ecosystems: a theoretical framework for a spatial ecosystem ecology , 2003 .

[24]  C. Kucharik,et al.  Evaluating the impacts of land management and climate variability on crop production and nitrate export across the Upper Mississippi Basin , 2003 .

[25]  M. Harmon,et al.  Ecological Variability in Space and Time: Insights Gained from the US LTER Program , 2003 .

[26]  Hanna Tuomisto,et al.  DISSECTING THE SPATIAL STRUCTURE OF ECOLOGICAL DATA AT MULTIPLE SCALES , 2004 .

[27]  R. Lal Soil carbon sequestration to mitigate climate change , 2004 .

[28]  R. DeFries,et al.  Land‐use choices: balancing human needs and ecosystem function , 2004 .

[29]  B. Scanlon,et al.  Assessing controls on diffuse groundwater recharge using unsaturated flow modeling , 2005 .

[30]  Monica G. Turner,et al.  Ecosystem Function in Heterogeneous Landscapes , 2005 .

[31]  Millenium Ecosystem Assessment Ecosystems and human well-being: synthesis , 2005 .

[32]  G. Cumming,et al.  Scale mismatches in social-ecological systems: Causes, consequences, and solutions , 2006 .

[33]  C. Kucharik,et al.  Residue, respiration, and residuals: Evaluation of a dynamic agroecosystem model using eddy flux measurements and biometric data , 2007 .

[34]  J. Alcamo Environmental futures : the practice of environmental scenario analysis , 2008 .

[35]  T. Hothorn,et al.  Simultaneous Inference in General Parametric Models , 2008, Biometrical journal. Biometrische Zeitschrift.

[36]  Garry D. Peterson,et al.  Agricultural modifications of hydrological flows create ecological surprises. , 2008, Trends in ecology & evolution.

[37]  B. Wilsey,et al.  Biodiversity, productivity and the temporal stability of productivity: patterns and processes. , 2009, Ecology letters.

[38]  Garry D. Peterson,et al.  Understanding relationships among multiple ecosystem services. , 2009, Ecology letters.

[39]  Felix Müller,et al.  Long-Term Ecological Research , 2010 .

[40]  P. Legendre,et al.  Community surveys through space and time: testing the space-time interaction in the absence of replication. , 2010, Ecology.

[41]  Garry D. Peterson,et al.  Ecosystem service bundles for analyzing tradeoffs in diverse landscapes , 2010, Proceedings of the National Academy of Sciences.

[42]  F. Guichard,et al.  Ecological processes can synchronize marine population dynamics over continental scales , 2010, Proceedings of the National Academy of Sciences.

[43]  J. Magnuson,et al.  An integrated conceptual framework for long‐term social–ecological research , 2011 .

[44]  Fred L. Ogden,et al.  Relative importance of impervious area, drainage density, width function, and subsurface storm drainage on flood runoff from an urbanized catchment , 2011 .

[45]  Jed O. Kaplan,et al.  Holocene carbon emissions as a result of anthropogenic land cover change , 2011 .

[46]  M. Uriarte,et al.  Influence of land use on water quality in a tropical landscape: a multi-scale analysis , 2011, Landscape Ecology.

[47]  S. Carpenter,et al.  Decision-making under great uncertainty: environmental management in an era of global change. , 2011, Trends in ecology & evolution.

[48]  P. Termonia,et al.  Effects of urbanization and climate change on surface runoff of the Brussels Capital Region: a case study using an urban soil–vegetation–atmosphere‐transfer model , 2011 .

[49]  W. Salomons,et al.  Research, part of a Special Feature on A Systems Approach for Sustainable Development in Coastal Zones Nitrogen Source Apportionment for the Catchment, Estuary, and Adjacent Coastal Waters of the River Scheldt , 2012 .

[50]  Garry D. Peterson,et al.  Drivers, "Slow" Variables, "Fast" Variables, Shocks, and Resilience , 2012 .

[51]  Arnim Wiek,et al.  Scenario Studies as a Synthetic and Integrative Research Activity for Long-Term Ecological Research , 2012 .

[52]  Robert B. Jackson,et al.  A Global Analysis of Groundwater Recharge for Vegetation, Climate, and Soils , 2012 .

[53]  Benjamin Burkhard,et al.  Flood regulating ecosystem services—Mapping supply and demand, in the Etropole municipality, Bulgaria , 2012 .

[54]  Grazia Zulian,et al.  Synergies and trade-offs between ecosystem service supply, biodiversity, and habitat conservation status in Europe , 2012 .

[55]  V. Dakos,et al.  Toward Principles for Enhancing the Resilience of Ecosystem Services , 2012 .

[56]  Pete Smith,et al.  REVIEW: The role of ecosystems and their management in regulating climate, and soil, water and air quality , 2013 .

[57]  J. Bullock,et al.  Mapping ecosystem service and biodiversity changes over 70 years in a rural English county , 2013 .

[58]  John R. Taylor,et al.  Supplying urban ecosystem services through multifunctional green infrastructure in the United States , 2013, Landscape Ecology.

[59]  G. Mace,et al.  Bringing Ecosystem Services into Economic Decision-Making: Land Use in the United Kingdom , 2013, Science.

[60]  K. Gaston,et al.  REVIEW: Managing urban ecosystems for goods and services , 2013 .

[61]  Jiangxiao Qiu,et al.  Spatial interactions among ecosystem services in an urbanizing agricultural watershed , 2013, Proceedings of the National Academy of Sciences.

[62]  Christopher J. Kucharik,et al.  Climate‐induced changes in biome distribution, NPP, and hydrology in the Upper Midwest U.S.: A case study for potential vegetation , 2013 .

[63]  J. Canadell,et al.  Global potential of biospheric carbon management for climate mitigation , 2014, Nature Communications.

[64]  R Core Team,et al.  R: A language and environment for statistical computing. , 2014 .

[65]  Steven P. Loheide,et al.  Influence of groundwater on plant water use and productivity: Development of an integrated ecosystem ― Variably saturated soil water flow model , 2014 .

[66]  Frédéric Guichard,et al.  Synchrony: quantifying variability in space and time , 2014 .

[67]  Kim Nimon,et al.  Using commonality analysis in multiple regressions: a tool to decompose regression effects in the face of multicollinearity , 2014 .

[68]  Stephen Polasky,et al.  Projected land-use change impacts on ecosystem services in the United States , 2014, Proceedings of the National Academy of Sciences.

[69]  A. Arneth,et al.  Global models of human decision-making for land-based mitigation and adaptation assessment , 2014 .

[70]  J. Ahern,et al.  The concept of ecosystem services in adaptive urban planning and design: A framework for supporting innovation , 2014 .

[71]  P. Verburg,et al.  Spatio-temporal dynamics of regulating ecosystem services in Europe – The role of past and future land use change , 2015 .

[72]  C. Folke,et al.  Adaptive governance, ecosystem management, and natural capital , 2015, Proceedings of the National Academy of Sciences.

[73]  Samuel C. Zipper,et al.  Untangling the effects of shallow groundwater and soil texture as drivers of subfield‐scale yield variability , 2015 .

[74]  T. McPhearson,et al.  Scale and context dependence of ecosystem service providing units , 2015 .

[75]  M. Feldman,et al.  Natural capital and ecosystem services informing decisions: From promise to practice , 2015, Proceedings of the National Academy of Sciences.

[76]  A. Kinzig,et al.  Linking ecosystem characteristics to final ecosystem services for public policy , 2014, Ecology letters.

[77]  Dominique Gravel,et al.  Beyond species: why ecological interaction networks vary through space and time , 2014, bioRxiv.

[78]  M. Feldman,et al.  Impacts of conservation and human development policy across stakeholders and scales , 2015, Proceedings of the National Academy of Sciences.

[79]  J. Gerber,et al.  Climate variation explains a third of global crop yield variability , 2015, Nature Communications.

[80]  M. Turner,et al.  Importance of landscape heterogeneity in sustaining hydrologic ecosystem services in an agricultural watershed , 2015 .

[81]  S. Carpenter,et al.  Plausible futures of a social-ecological system: Yahara watershed, Wisconsin, USA , 2015 .

[82]  N. Chettri,et al.  The evolution of ecosystem services: A time series and discourse-centered analysis , 2015 .

[83]  E. Bennett,et al.  Historical dynamics in ecosystem service bundles , 2015, Proceedings of the National Academy of Sciences.

[84]  Chaoyi Chang,et al.  Fragmented water quality governance: Constraints to spatial targeting for nutrient reduction in a Midwestern USA watershed , 2015 .

[85]  Garry D. Peterson,et al.  Participatory scenario planning in place-based social-ecological research: insights and experiences from 23 case studies , 2015 .

[86]  C. Violle,et al.  Complementary effects of species and genetic diversity on productivity and stability of sown grasslands , 2015, Nature Plants.

[87]  Suming Jin,et al.  Completion of the 2011 National Land Cover Database for the Conterminous United States – Representing a Decade of Land Cover Change Information , 2015 .

[88]  S. Carpenter,et al.  Local Perspectives and Global Archetypes in Scenario Development , 2016 .

[89]  C. Kucharik,et al.  Drought effects on US maize and soybean production: spatiotemporal patterns and historical changes , 2016 .

[90]  Budy P. Resosudarmo,et al.  A Bayesian belief network model for community-based coastal resource management in the Kei Islands, Indonesia , 2016 .

[91]  E. Bennett Research Frontiers in Ecosystem Service Science , 2016, Ecosystems.

[92]  Garry D. Peterson,et al.  Scale and ecosystem services: how do observation, management, and analysis shift with scale—lessons from Québec , 2016 .

[93]  Jiangxiao Qiu,et al.  Flashiness and Flooding of Two Lakes in the Upper Midwest During a Century of Urbanization and Climate Change , 2017, Ecosystems.

[94]  H. Di,et al.  Inhibition of nitrification to mitigate nitrate leaching and nitrous oxide emissions in grazed grassland: a review , 2016, Journal of Soils and Sediments.

[95]  Xi Chen,et al.  From qualitative to quantitative environmental scenarios: Translating storylines into biophysical modeling inputs at the watershed scale , 2016, Environ. Model. Softw..

[96]  Taylor H. Ricketts,et al.  Policy impacts of ecosystem services knowledge , 2016, Proceedings of the National Academy of Sciences.

[97]  R. Jacobson,et al.  Stakeholder-led science: engaging resource managers to identify science needs for long-term management of floodplain conservation lands , 2016 .

[98]  M. Turner,et al.  Spatial fit between water quality policies and hydrologic ecosystem services in an urbanizing agricultural landscape , 2016, Landscape Ecology.

[99]  Brian J. Harvey,et al.  Historical foundations and future directions in macrosystems ecology. , 2017, Ecology letters.

[100]  S. Carpenter,et al.  The Influence of Legacy P on Lake Water Quality in a Midwestern Agricultural Watershed , 2017, Ecosystems.

[101]  Amy J. Burgin,et al.  Weather whiplash in agricultural regions drives deterioration of water quality , 2017, Biogeochemistry.

[102]  Garry D. Peterson,et al.  How spatial scale shapes the generation and management of multiple ecosystem services , 2017 .

[103]  S. Gergel,et al.  Landscape indicators of groundwater nitrate concentrations: an approach for trans‐border aquifer monitoring , 2017 .

[104]  Yan Zhang,et al.  Influence of land use and land cover patterns on seasonal water quality at multi-spatial scales , 2017 .

[105]  Jessica M. Libertini,et al.  Scenario Development and Foresight Analysis: Exploring Options to Inform Choices , 2018, Annual Review of Environment and Resources.

[106]  S. Carpenter,et al.  Understanding relationships among ecosystem services across spatial scales and over time , 2018 .

[107]  S. Carpenter,et al.  The synergistic effect of manure supply and extreme precipitation on surface water quality , 2018 .

[108]  S. Carpenter,et al.  Extreme precipitation and phosphorus loads from two agricultural watersheds , 2018 .

[109]  Vincent Bretagnolle,et al.  LTSER platforms as a place-based transdisciplinary research infrastructure: learning landscape approach through evaluation , 2018, Landscape Ecology.

[110]  J. Foster,et al.  Resilience in Forage and Grazinglands , 2018 .

[111]  S. Carpenter,et al.  Continuous separation of land use and climate effects on the past and future water balance , 2018, Journal of Hydrology.

[112]  S. Carpenter,et al.  Scenarios reveal pathways to sustain future ecosystem services in an agricultural landscape. , 2018, Ecological applications : a publication of the Ecological Society of America.

[113]  Henrik von Wehrden,et al.  Temporal Dynamics of Ecosystem Services , 2018, Ecological Economics.

[114]  Jiangxiao Qiu Effects of Landscape Pattern on Pollination, Pest Control, Water Quality, Flood Regulation, and Cultural Ecosystem Services: a Literature Review and Future Research Prospects , 2019, Current Landscape Ecology Reports.

[115]  D. Abson,et al.  Temporal patterns in ecosystem services research: A review and three recommendations , 2019, Ambio.

[116]  C. Kucharik,et al.  Nonlinear groundwater influence on biophysical indicators of ecosystem services , 2019, Nature Sustainability.

[117]  S. Carpenter,et al.  Comparing the effects of climate and land use on surface water quality using future watershed scenarios. , 2019, The Science of the total environment.

[118]  Jiangxiao Qiu,et al.  Ecological worldview, agricultural or natural resource-based activities, and geography affect perceived importance of ecosystem services , 2020 .