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Biodiversity, Ecosystem Functioning, and Human Wellbeing: An Ecological and Economic Perspective
Abstract
How will biodiversity loss affect ecosystem functioning, ecosystem services, and human wellbeing? In an age of accelerating biodiversity loss, this volume summarizes recent advances in biodiversity‐ecosystem functioning research and explores the economics of biodiversity and ecosystem services. The first section summarizes the development of the basic science and provides a meta-analysis that quantitatively tests several biodiversity and ecosystem functioning hypotheses. The second section describes the natural science foundations of biodiversity‐ecosystem functioning research, including: quantifying functional diversity, the development of the field into a predictive science, effects of stability and complexity, methods to quantify mechanisms by which diversity affects functioning, the importance of trophic structure, microbial ecology, and spatial dynamics. The third section takes research on biodiversity and ecosystem functioning further than it has ever gone into the human dimension. The first six chapters cover the most pressing environmental challenges humanity faces, including effects of diversity on: climate change mitigation, restoration of degraded habitats, managed ecosystems, pollination, disease, and biological invasions. The remaining chapters of section three that consider the economic perspective, including: a synthesis of the economics of ecosystem services and biodiversity, and the options open to policy-makers to address the failure of markets to account for the loss of ecosystem services; an examination of the challenges of valuing ecosystem services and, hence, to understanding the human consequences of decisions that neglect these services; and an examination of the ways in which economists are currently incorporating biodiversity and ecosystem functioning research into decision models for the conservation and management of biodiversity. The final section describes new advances in ecoinformatics that will help transform this field into a globally predictive science, and finally, summarizes the advancements and future directions of the field. The book's ultimate conclusion is that biodiversity is an essential element of any strategy for sustainable development.
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“There is considerable theoretical and experimental evidence that random species losses can substantially decrease productivity in terrestrial, freshwater, and marine ecosystems (8–15).”
From Nutrient enrichment, biodiversity loss, and consequent declines in ecosystem productivity (2013) · cites this paper as [12]
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Wild Pollinators Enhance Fruit Set of Crops Regardless of Honey Bee Abundance
Garibaldi, L. A., Steffan-Dewenter, I., Winfree, R., Aizen, M. A., Bommarco, R., Cunningham, S. A., Kremen, C., Carvalheiro, L. G., Harder, L. D., Afik, O., et al. (2013) · Science · doi:10.1126/science.1230200 · Cited by 2,668
“2A); this finding indicates that wild insects provide better-quality pollination, such as greater cross-pollination (14, 16, 17, 19).”
BackgroundBiodiversity and Ecosystem Functioning
Tilman, D., Isbell, F., & Cowles, J. M. (2014) · Annual Review of Ecology, Evolution, and Systematics · doi:10.1146/annurev-ecolsys-120213-091917 · Cited by 2,467
A global synthesis reveals biodiversity loss as a major driver of ecosystem change
Hooper, D. U., Adair, E. C., Cardinale, B. J., Byrnes, J. E. K., Hungate, B. A., Matulich, K. L., Gonzalez, A., Duffy, J. E., Gamfeldt, L., & O’Connor, M. I. (2012) · Nature · doi:10.1038/nature11118 · Cited by 2,406
Impacts of biodiversity on the emergence and transmission of infectious diseases
Keesing, F., Belden, L. K., Daszak, P., Dobson, A., Harvell, C. D., Holt, R. D., Hudson, P., Jolles, A., Jones, K. E., Mitchell, C. E., et al. (2010) · Nature · doi:10.1038/nature09575 · Cited by 2,043
Plant Species Richness and Ecosystem Multifunctionality in Global Drylands
Maestre, F. T., Quero, J. L., Gotelli, N. J., Escudero, A., Ochoa, V., Delgado-Baquerizo, M., García-Gómez, M., Bowker, M. A., Soliveres, S., Escolar, C., et al. (2012) · Science · doi:10.1126/science.1215442 · Cited by 1,730
Metadata
- Authors
- Naeem, S., Bunker, D. E., Hector, A., Loreau, M., & Perrings, C. A.
- Affiliations
- Columbia University (US)
- New Jersey Institute of Technology (US)
- University of Zurich (CH)
- McGill University (CA)
- Arizona State University (US)
- Corresponding author
- Shahid Naeem
- Publisher
- Oxford University PressOxford
- Published
- 2009-07-30
- OpenAlex
- W2141455051
- Cited by
- 608
- References
- 1,669
- Citations by year
- 2026: 8 · 2025: 11 · 2024: 30 · 2023: 18 · 2022: 29 · 2021: 32 · 2020: 28 · 2019: 25 · 2018: 29 · 2017: 34 · 2016: 29 · 2015: 51 · 2014: 62 · 2013: 60 · 2012: 65
- FWCI
- 45.12
- Type
- book
- Language
- en
- Open access
- closed
- Locations
- Zurich Open Repository and Archive (University of Zurich) (submittedVersion)
- Topics
- Physical Sciences › Environmental Science › Nature and Landscape Conservation › Ecology and Vegetation Dynamics Studies
- Physical Sciences › Environmental Science › Global and Planetary Change › Land Use and Ecosystem Services
- Physical Sciences › Environmental Science › Global and Planetary Change › Ecosystem dynamics and resilience
- Keywords
- biodiversity loss, biodiversity-ecosystem functioning, ecosystem services, human well-being, functional diversity, trophic structure, microbial ecology, spatial dynamics, climate change mitigation, habitat restoration, managed ecosystems, pollination, disease, biological invasions, biodiversity economics, ecosystem services valuation, biodiversity policy, ecoinformatics, sustainable development
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
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