Peter G. Jones's research while affiliated with Colegio Bennett Cali Colombia and other places

... Then, the eliminated values were supplemented using the Savitzky-Golay (S-G) filter [54] and the Inverse Distance Weight (IDW) method [55]. The elevation and soil texture data were collected from Shuttle Radar Topography Mission (SRTM) [56] and Harmonized World Soil Database (HWSD) [57], respectively. In addition, the yearly land cover product (MCD12Q1) [58] was also applied to explore the influence of agricultural drought on cropland in the GMS. ...

... were used in the present study using a web based software tool MarkSim online software web version for IPCC AR5 data (CMIP5). MarkSim GCM is a spatially explicit daily weather generator that uses third order Markov chain climate simulator and has been found suitable for tropical countries like Ethiopia (Jones and Thornton, 2013). Moreover, it does not depend on the long term climate data and does not need recalibration, as it is already calibrated (Jones and Thornton, 2003). ...

... & Rigoni is known as a wild perennial Arachis species, belongs to sect. Extranervosae, with prefers to grow in soils consisting of angular gravel (Jarvis et al. 2003). It is widely distributed in the south of 14 � 30 0 S, where flooded places or places subject to flooding (Krapovickas et al. 2007). ...

... In this study, two categories of data have been used. MarkSim weather generator uses third-order Markov chain for downscaling precipitation data (Jones and Thornton, 2000;Jones et al., 2002) and a Richardson 1989's based method for downscaling minimum and maximum temperature and radiation data (Jones and Thornton 2013). The data were obtained from (http:// gismap. ...

... Till now, 7.5% of the total grasslands of the world have already been degraded, and in continuation, most grasslands are still vulnerable to degradation because of intensive grazing for higher livestock production. Africa's rangelands are greatly affected and face pressure to fulfill the increasing supply of milk and beef in the subcontinent (Reid et al. 2004). It has been reported that about 49% of the world's grassland and approximately 50% of natural grassland has undergone degradation to various extent due to land mismanagement, and several countries have brought a large area of grazing and grasslands under cultivation (Gibbs & Salmon 2015). ...

... Species data are mostly related to climate variables based on long-term means (climatologies) baselines to represent current climate conditions. One of the most widely used sources of climatological variables for land studies come from the freely available repositories WorldClim (Hijmans et al., 2005) and its updated version WorldClim2 (Fick & Hijmans, 2017). WorldClim makes available baseline conditions consisting of a long-term average over 30 years (1960( -1990( in Worldclim 1.4, 1970( -2000 in Worldclim 2.1). ...

... Besides seeking help, households may also pursue other strategies as part of their coping strategies. Many examples, which include temporary migration to find employment, longer workdays, collecting wild berries and collecting forest products for sale are noted (Thornton et al. 2009). ...

... Greater occurrence of these events will likely strain these communities and undermine their long-term sustainability. Idiosyncratic environmental shocks tend to (though not always) disproportionately affect rain-fed agriculture and large livestock like cattle more than small livestock such as sheep and goats (Jones & Thornton, 2009;Seo & Mendelsohn, 2008). On average, then, we would expect that shocks would damage food security from rain-fed agriculture and reduce cattle numbers -at least for those whose agricultural systems are not well-insulated from the effects of climate change, such as pastoralists and smallholder farmers. ...

... We forecast a range of crop and ecosystem responses that will aect ma1or agricultural processes due to variation in climate, changing temperature, precipitatio~ ~atterns, and o~her aspects of global change. Changes in soil moisture, p~st ~~tivity: and plant diseases are just a few of these effects, all of which have a s1gruficant impact on food production and food security (Fuhrer, 2003;Jones and Thornton, 2003). A~iotic and biotic stresses are predicted to rise as a result of these changes, makmg agricultural systems more susceptible to disruption in the future. ...

... Arid regions such as North Africa and West Asia suffer from low rainfall relative to evapotranspiration ( Figure 1) and would suffer from even more reduced precipitation in the future which, without adaptation measures, would wreak havoc on agricultural production (El-Beltagy & Madkour, 2012;Assane & Waounde, 2023). And even locations in arid regions which may experience increased precipitation would have unfavorable timing and distribution for agricultural production, i.e. it would be accompanied by increased intensity (Thornton et al., 2010). There is no shortage of data on the anticipated negative impacts of climate change on crop production and native vegetation in arid regions without suitable adaptation measures (Howden et al., 2007;Schlenker & Lobel, 2010;Abdullah et al., 2024). ...