Student or educator? Sign up with your school email and get 6 months of Pro free.
Cited by 384

The DOI matches its Crossref record.

Natural Capital: Theory and Practice of Mapping Ecosystem Services

·2011·Oxford University Press eBooks

Abstract

Abstract In 2005, The Millennium Ecosystem Assessment provided the first global assessment of the world’s ecosystems and ecosystem services. It concluded that recent trends in ecosystem change threatened human well-being due to declining ecosystem services, a bleak prophecy which has galvanized conservation organizations, ecologists, and economists to work towards rigorous valuations of ecosystem services at a spatial scale and with a resolution that can inform public policy. This book provides an intensive and technical analysis of ecosystem services to date. A key idea which guides the science is that the modelling and valuation approaches being developed should use data which are readily available around the world. In addition, the book documents a toolbox of ecosystem service mapping, modelling, and valuation models that both The Nature Conservancy and the World Wide Fund for Nature are beginning to apply around the world as they transform conservation from a biodiversity-only to a people and ecosystem services agenda. The book addresses land, freshwater, and marine systems at a variety of spatial scales, and includes discussion of how to treat both climate change and cultural values when examining tradeoffs among ecosystem services.

Overview

The claims and statistics of this paper haven’t been checked yet.

Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.

A few free checks a day · papers already verified open instantly · results are public

Integrity signals

Registry

Crossref · 10.1093/acprof:oso/9780199588992.001.0001

Cites

Statistics

Verification

Claims the paper makes

The claims and statistics of this paper haven’t been checked yet.

Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.

A few free checks a day · papers already verified open instantly · results are public

Self-check

Percentages, sums and reported differences re-computed from the paper’s own numbers.

The self-check needs the paper’s full text.

Citations

Cited by

See all 384

Metadata

Venue
Oxford University Press eBooks
Published
2011-04-07
OpenAlex
W4256369192
Cited by
384
References
0
FWCI
27.25
Type
book
Language
en
Open access
closed

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 ›

Are you an author, or do you see a problem with this page? Request a review

How to cite

Cite CoChat for the checks on this page, and the paper for its own findings.

This page
CoChat. (2026). Citation check: Natural Capital: Theory and Practice of Mapping Ecosystem Services. https://app.cochat.ai/papers/10.1093/acprof:oso/9780199588992.001.0001
The paper
Natural Capital: Theory and Practice of Mapping Ecosystem Services. (2011). Oxford University Press eBooks. https://doi.org/10.1093/acprof%3Aoso/9780199588992.001.0001

Data sources

Bibliographic data: Semantic Scholar, OpenAlex, Crossref.

Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).

Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.