The role of hydraulic lift on seedling establishment under a nurse plant species in a semi-arid environment

2011 ◽  
Vol 13 (3) ◽  
pp. 181-187 ◽  
Author(s):  
Iván Prieto ◽  
Francisco M. Padilla ◽  
Cristina Armas ◽  
Francisco I. Pugnaire
Keyword(s):  
Plant Species ◽  
Seedling Establishment ◽  
Arid Environment ◽  
Hydraulic Lift ◽  
Nurse Plant ◽  
Semi Arid

scholarly journals The role of surface water redistribution in an area of patterned vegetation in a semi-arid environment, south-west Niger

1997 ◽  
Vol 198 (1-4) ◽  
pp. 1-29 ◽  
Author(s):  
J. Bromley ◽  
J. Brouwer ◽  
A.P. Barker ◽  
S.R. Gaze ◽  
C. Valentine
Keyword(s):  
Surface Water ◽  
Arid Environment ◽  
South West ◽  
Water Redistribution ◽  
Semi Arid

Spatial and temporal drivers of small mammal distributions in a semi-arid environment: The role of rainfall, vegetation and life-history

2013 ◽  
Vol 38 (7) ◽  
pp. 786-797 ◽  
Author(s):  
Luke T. Kelly ◽  
Ray Dayman ◽  
Dale G. Nimmo ◽  
Michael F. Clarke ◽  
Andrew F. Bennett
Keyword(s):  
Life History ◽  
Small Mammal ◽  
Arid Environment ◽  
Semi Arid

scholarly journals Qualitative soil moisture assessment in semi-arid Africa: the role of experience and training on inter-rater reliability

2015 ◽  
Vol 12 (3) ◽  
pp. 3029-3058
Author(s):  
M. Rinderer ◽  
H. Komakech ◽  
D. Müller ◽  
J. Seibert
Keyword(s):  
Soil Moisture ◽  
Classification Scheme ◽  
Functional Relation ◽  
Soil Surface ◽  
Arid Environment ◽  
Rater Reliability ◽  
Moisture Conditions ◽  
And Training ◽  
Semi Arid

Abstract. Soil and water management is particularly relevant in semi-arid regions to enhance agricultural productivity. During periods of water scarcity soil moisture differences are important indicators of the soil water deficit and are traditionally used for allocating water resources among farmers of a village community. Here we present a simple, inexpensive soil wetness classification scheme based on qualitative indicators which one can see or touch on the soil surface. It incorporates the local farmers' knowledge on the best soil moisture conditions for seeding and brick making in the semi-arid environment of the study site near Arusha, Tanzania. The scheme was tested twice in 2014 with farmers, students and experts (April: 40 persons, June: 25 persons) for inter-rater reliability, bias of individuals and functional relation between qualitative and quantitative soil moisture values. During the test in April farmers assigned the same wetness class in 46% of all cases while students and experts agreed in about 60% of all cases. Students who had been trained in how to apply the method gained higher inter-rater reliability than their colleagues with only a basic introduction. When repeating the test in June, participants were given improved instructions, organized in small sub-groups, which resulted in a higher inter-rater reliability among farmers. In 66% of all classifications farmers assigned the same wetness class and the spread of class assignments was smaller. This study demonstrates that a wetness classification scheme based on qualitative indicators is a robust tool and can be applied successfully regardless of experience in crop growing and education level when an in-depth introduction and training is provided. The use of a simple and clear layout of the assessment form is important for reliable wetness class assignments.

Three new Aceria spp. (Acari: Trombidiformes: Eriophyoidea) associated to Artemisia spp. (Compositae) from South Khorasan province, East Iran  

2020 ◽  
Vol 25 (2) ◽  
pp. 349-360
Author(s):  
Arash Honarmand ◽  
Hussein Sadeghi-namaghi ◽  
Enrico De Lillo
Keyword(s):  
Plant Species ◽  
Arid Environment ◽  
Field Surveys ◽  
Eriophyoid Mites ◽  
Artemisia Sieberi ◽  
South Khorasan ◽  
Semi Arid

During the field surveys of eriophyoid mites associated to plant species of Artemisia L. (Compositae) from semi-arid and arid environment in East Iran (Birjand, South Khorasan, Iran 2016-2017), three new Aceria spp. (Acari: Trombidiformes: Eriophyidae) were collected. They are Aceria gallartae sp. nov. on Artemisia sieberi Besser, Aceria khaniensis sp. nov. on A. tournefortiana Rchb., and Aceria alghoorii sp. nov. on A. scoparia Waldst. & Kitam., which are illustrated and described herein. 

scholarly journals Qualitative soil moisture assessment in semi-arid Africa – the role of experience and training on inter-rater reliability

2015 ◽  
Vol 19 (8) ◽  
pp. 3505-3516 ◽  
Author(s):  
M. Rinderer ◽  
H. C. Komakech ◽  
D. Müller ◽  
G. L. B. Wiesenberg ◽  
J. Seibert
Keyword(s):  
Soil Moisture ◽  
Classification Scheme ◽  
Functional Relation ◽  
Soil Surface ◽  
Arid Environment ◽  
Rater Reliability ◽  
Moisture Conditions ◽  
And Training ◽  
Semi Arid

Abstract. Soil and water management is particularly relevant in semi-arid regions to enhance agricultural productivity. During periods of water scarcity, soil moisture differences are important indicators of the soil water deficit and are traditionally used for allocating water resources among farmers of a village community. Here we present a simple, inexpensive soil wetness classification scheme based on qualitative indicators which one can see or touch on the soil surface. It incorporates the local farmers' knowledge on the best soil moisture conditions for seeding and brick making in the semi-arid environment of the study site near Arusha, Tanzania. The scheme was tested twice in 2014 with farmers, students and experts (April: 40 persons, June: 25 persons) for inter-rater reliability, bias of individuals and functional relation between qualitative and quantitative soil moisture values. During the test in April farmers assigned the same wetness class in 46 % of all cases, while students and experts agreed on about 60 % of all cases. Students who had been trained in how to apply the method gained higher inter-rater reliability than their colleagues with only a basic introduction. When repeating the test in June, participants were given improved instructions, organized in small subgroups, which resulted in a higher inter-rater reliability among farmers. In 66 % of all classifications, farmers assigned the same wetness class and the spread of class assignments was smaller. This study demonstrates that a wetness classification scheme based on qualitative indicators is a robust tool and can be applied successfully regardless of experience in crop growing and education level when an in-depth introduction and training is provided. The use of a simple and clear layout of the assessment form is important for reliable wetness class assignments.

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