Global Desertification: Building a Science for Dryland Development-Reference-Cited by-同舟云学术

Global Desertification: Building a Science for Dryland Development

Published:2007-05-11 Issue:5826 Volume:316 Page:847-851
ISSN:0036-8075
Container-title:Science
language:en
Short-container-title:Science

Author:

Reynolds James F.¹²³⁴⁵,Smith D. Mark Stafford¹²³⁴⁵,Lambin Eric F.¹²³⁴⁵,Turner B. L.¹²³⁴⁵,Mortimore Michael¹²³⁴⁵,Batterbury Simon P. J.¹²³⁴⁵,Downing Thomas E.¹²³⁴⁵,Dowlatabadi Hadi¹²³⁴⁵,Fernández Roberto J.¹²³⁴⁵,Herrick Jeffrey E.¹²³⁴⁵,Huber-Sannwald Elisabeth¹²³⁴⁵,Jiang Hong¹²³⁴⁵,Leemans Rik¹²³⁴⁵,Lynam Tim¹²³⁴⁵,Maestre Fernando T.¹²³⁴⁵,Ayarza Miguel¹²³⁴⁵,Walker Brian¹²³⁴⁵

Affiliation:

1. Nicholas School of the Environment and Earth Sciences and Department of Biology, Post Office Box 90328, Duke University, Durham, NC 27708, USA.

2. Commonwealth Scientific and Industrial Research Organisation (CSIRO) Sustainable Ecosystems, Post Office Box 284, Canberra, ACT 2602, Australia.

3. Université Catholique de Louvain, B-1348 Louvain-la-Neuve, Belgium.

4. Graduate School of Geography and George Perkins Marsh Institute, Clark University, Worcester, MA 01610, USA.

5. Drylands Research, Cutters' Cottage, Glovers' Close, Milborne Port, Sherborne DT9 5ER, UK.

Abstract

In this millennium, global drylands face a myriad of problems that present tough research, management, and policy challenges. Recent advances in dryland development, however, together with the integrative approaches of global change and sustainability science, suggest that concerns about land degradation, poverty, safeguarding biodiversity, and protecting the culture of 2.5 billion people can be confronted with renewed optimism. We review recent lessons about the functioning of dryland ecosystems and the livelihood systems of their human residents and introduce a new synthetic framework, the Drylands Development Paradigm (DDP). The DDP, supported by a growing and well-documented set of tools for policy and management action, helps navigate the inherent complexity of desertification and dryland development, identifying and synthesizing those factors important to research, management, and policy communities.

Publisher

American Association for the Advancement of Science (AAAS)

Subject

Multidisciplinary

Reference78 articles.

1. GLP Global Land Project—Science Plan and Implementation Strategy” [IGBP (International Geosphere Biosphere Program) Report No. 53/International Human Dimensions Programme Report No. 19 IGBP Secretariat Stockholm 2005]; www.globallandproject.org/documents.shtml.

2. Millennium Ecosystem Assessment—Ecosystems and Human Well-Being: Desertification Synthesis 2005

3. UNCCD United Nations Convention to Combat Desertification Elaboration of an International Convention to Combat Desertification in Countries Experiencing Serious Drought and/or Desertification Particularly in Africa” (U.N. Doc. A/AC.241/27 33 I.L.M. 1328 United Nations 1994).

4. The precise numbers of the dryland population affected by desertification is contentious ( 50 ) but 250 million is a widely cited approximation ( 2 3 ). For comparison the Global Fund estimates annually 1 million deaths and 300 to 500 million new infections for malaria 3 million deaths and 40 million new infections for AIDS/HIV and 2 million deaths and 8 million new infections for tuberculosis (www.theglobalfund.org).

5. There has been extensive debate concerning definitions of desertification and degradation ( 51 ). Although the CCD definition is now formalized internationally a summary of the debate is given in ( 10 52 ).

Cited by 2013 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Non-linear effects of temperature and moisture on gross N transformation rates in an Inner Mongolian grassland;CATENA;2024-03

2. Response of soil water, temperature, and maize productivity to different irrigation practices in an arid region;Soil and Tillage Research;2024-03

3. Impact of plastic mulching and residue return on maize yield and soil organic carbon storage in irrigated dryland areas under climate change;Agriculture, Ecosystems & Environment;2024-03

4. Automatedly identify dryland threatened species at large scale by using deep learning;Science of The Total Environment;2024-03

5. Mesic vegetation persistence: A new approach for monitoring spatial and temporal changes in water availability in dryland regions using cloud computing and the sentinel and Landsat constellations;Science of The Total Environment;2024-03