Andy Jarvis

ORCID: 0000-0001-6543-0798
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About
Contact & Profiles
Research Areas
  • COVID-19 impact on air quality
  • Public Health and Environmental Issues
  • Smart Cities and Technologies
  • Climate change impacts on agriculture
  • Environmental and Ecological Studies
  • Agricultural Innovations and Practices
  • Agricultural pest management studies
  • Soil Geostatistics and Mapping
  • Agriculture Sustainability and Environmental Impact
  • Sustainable Agricultural Systems Analysis
  • Plant and soil sciences
  • Business, Innovation, and Economy
  • Genetic and Environmental Crop Studies
  • Species Distribution and Climate Change
  • Plant and animal studies
  • Methane Hydrates and Related Phenomena
  • Seed and Plant Biochemistry
  • Climate Change, Adaptation, Migration
  • Genetically Modified Organisms Research
  • Urban Heat Island Mitigation
  • Rice Cultivation and Yield Improvement
  • Agricultural and Food Production Studies
  • Ecology and Vegetation Dynamics Studies
  • Genetic diversity and population structure
  • Regional Development and Environment

International Center for Tropical Agriculture
2013-2024

Bioversity International
2008-2022

Climate Change, Agriculture and Food Security
2011-2020

International Center for Tropical Agriculture
2012-2020

CGIAR
2014-2020

University of Copenhagen
2011-2015

Technopolis (Finland)
2014

ICF International (United States)
2014

Agricultural Research Center
2013

Faculty of Media
2012

We developed interpolated climate surfaces for global land areas (excluding Antarctica) at a spatial resolution of 30 arc s (often referred to as 1-km resolution). The elements considered were monthly precipitation and mean, minimum, maximum temperature. Input data gathered from variety sources and, where possible, restricted records the 1950–2000 period. used thin-plate smoothing spline algorithm implemented in ANUSPLIN package interpolation, using latitude, longitude, elevation independent...

10.1002/joc.1276 article EN International Journal of Climatology 2005-01-01

To study the Earth system and to better understand implications of global environmental change, there is a growing need for large‐scale hydrographic data sets that serve as prerequisites in variety analyses applications, ranging from regional watershed freshwater conservation planning hydrological, climate, biogeochemical, land surface modeling. Yet while countless maps exist well‐known river basins individual nations, lack seamless high‐quality on large scales such continents or entire...

10.1029/2008eo100001 article EN Eos 2008-03-04

The narrowing of diversity in crop species contributing to the world's food supplies has been considered a potential threat security. However, changes this have not quantified globally. We assess trends over past 50 y richness, abundance, and composition national worldwide. Over period, per capita expanded total quantities calories, protein, fat, weight, with increased proportions those sourcing from energy-dense foods. At same time number measured commodities increased, relative...

10.1073/pnas.1313490111 article EN Proceedings of the National Academy of Sciences 2014-03-03

Abstract The Digital Elevation Model that has been derived from the February 2000 Shuttle Radar Topography Mission (SRTM) one of most important publicly available new spatial data sets in recent years. However, 'finished' grade version (also referred to as Version 2) still contains voids (some 836,000 km2)—and other anomalies—that prevent immediate use many applications. These can be filled using a range interpolation algorithms conjunction with sources elevation data, but there is little...

10.1080/13658810601169899 article EN International Journal of Geographical Information Science 2007-09-04

10.1016/j.agee.2008.01.013 article EN Agriculture Ecosystems & Environment 2008-03-11

Projections of climate change are available at coarse scales (70–400 km). But agricultural and species models typically require finer scale data to model impacts. Here, we present a global database future climates developed by applying the delta method –a for bias correction. We performed technical evaluation bias-correction using 'perfect sibling' framework show that it reduces 50–70%. The include monthly maximum minimum temperatures total precipitation, set bioclimatic indices, can be used...

10.1038/s41597-019-0343-8 article EN cc-by Scientific Data 2020-01-20

We present a framework for prioritizing adaptation approaches at range of timeframes. The is illustrated by four case studies from developing countries, each with associated characterization uncertainty. Two cases on near-term planning in Sri Lanka and stakeholder scenario exercises East Africa show how the relative utility capacity vs. impact to differ level uncertainty lead time. An additional two demonstrate that it possible identify uncertainties are relevant decision making specific...

10.1073/pnas.1219441110 article EN Proceedings of the National Academy of Sciences 2013-05-14

Coffee is grown in more than 60 tropical countries on over 11 million ha by an estimated 25 farmers, most of whom are smallholders. Several regional studies demonstrate the climate sensitivity coffee (Coffea arabica) and likely impact change suitability, yield, increased pest disease pressure farmers' livelihoods. The objectives this paper (i) to quantify progressive grow produce high quality Nicaragua (ii) develop adaptation framework across time space guide planning. We used location cup...

10.1007/s10584-016-1788-9 article EN cc-by Climatic Change 2016-10-24

Aggarwal, P. K., A. Jarvis, B. M. Campbell, R. Zougmoré, Khatri-Chhetri, S. J. Vermeulen, Loboguerrero, L. Sebastian, Kinyangi, O. Bonilla-Findji, Radeny, Recha, D. Martinez-Baron, Ramirez-Villegas, Huyer, Thornton, E. Wollenberg, Hansen, Alvarez-Toro, Aguilar-Ariza, Arango-Londoño, V. Patiño-Bravo, Rivera, Ouedraogo and Tan Yen. 2018. The climate-smart village approach: framework of an integrative strategy for scaling up adaptation options in agriculture. Ecology Society 23(1):14....

10.5751/es-09844-230114 article EN cc-by Ecology and Society 2018-01-01

Agriculture is considered to be "climate-smart" when it contributes increasing food security, adaptation and mitigation in a sustainable way. This new concept now dominates current discussions agricultural development because of its capacity unite the agendas agriculture, climate change communities under one brand. In this opinion piece authored by scientists from variety international research communities, we argue that needs evaluated critically relationship between three dimensions poorly...

10.1186/2048-7010-2-12 article EN cc-by Agriculture & Food Security 2013-08-30

Research into the origins of food plants has led to recognition that specific geographical regions around world have been particular importance development agricultural crops. Yet relative contributions these different in context current systems not quantified. Here we determine (‘primary diversity’) crops comprising supplies and production countries worldwide. We estimate degree which use from diversity other than their own (‘foreign crops’), quantify changes this usage over past 50 years....

10.1098/rspb.2016.0792 article EN cc-by Proceedings of the Royal Society B Biological Sciences 2016-06-08

Big data and mobile technology are widely claimed to be global disruptive forces in agriculture that benefit small-scale farmers. Yet the access of farmers this is poorly understood. We show only 24–37% farms <1 ha size served by third generation (3G) or 4G services, compared 74–80% >200 size. Furthermore, croplands with severe yield gaps, climate-stressed locations food-insecure populations have poor service coverage. Across many countries Africa, less than ~40% farming households Internet...

10.1038/s41893-020-00631-0 article EN public-domain Nature Sustainability 2020-11-02

Background The wild relatives of crops represent a major source valuable traits for crop improvement. These resources are threatened by habitat destruction, land use changes, and other factors, requiring their urgent collection long-term availability research breeding from ex situ collections. We propose method to identify gaps in collections (i.e. gap analysis) as means guide efficient effective collecting activities. Methodology/Principal Findings methodology prioritizes among taxa based...

10.1371/journal.pone.0013497 article EN cc-by PLoS ONE 2010-10-20

ABSTRACT Aim Gap analysis is a well‐established conservation technique that identifies areas in which selected elements of biodiversity are represented and through comparison with existing situ protected area networks habitats or ecosystems need additional protection. We aim to demonstrate gap may be extended encompass both ex genetic diversity strategies. Location Global, exemplar case study from sub‐Saharan Africa. Methods An methodology proposed involves the following steps: (1)...

10.1111/j.1472-4642.2008.00512.x article EN other-oa Diversity and Distributions 2008-10-11
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