The impact of livestock grazing on plant diversity: an analysis across dryland ecosystems and scales in southern Africa

2014 ◽  
Vol 24 (5) ◽  
pp. 1188-1203 ◽  
Author(s):  
Wiebke Hanke ◽  
Jürgen Böhner ◽  
Niels Dreber ◽  
Norbert Jürgens ◽  
Ute Schmiedel ◽  
...  
2021 ◽  
Vol 76 ◽  
pp. 102053
Author(s):  
S. Mudombi ◽  
C. Ochieng ◽  
F.X. Johnson ◽  
G. von Maltitz ◽  
D. Luhanga ◽  
...  

2006 ◽  
Vol 36 (5) ◽  
pp. 1218-1235 ◽  
Author(s):  
Steven G Newmaster ◽  
F Wayne Bell ◽  
Christopher R Roosenboom ◽  
Heather A Cole ◽  
William D Towill

Plantations have been claimed to be "monocultures", or "biological deserts". We investigated these claims in the context of a long-term study on plant diversity within plantations with different indigenous tree species, spacings, and soil types that were compared with 410 native stands. Soil type had no influence on plantation species diversity or abundance, and wider spacing resulted in higher richness, lower woody plant abundance, slightly higher cover of herbaceous plants, and large increases in cryptogam cover. We also found a canopy species × spacing interaction effect, where the impact of increased spacing on understory vegetation was more pronounced in spruce than in pine plantations. The dynamic community interactions among species of feathermoss appear to be in response to the physical impediment from varying amounts of needle rain from the different tree species. High light interception and needle fall were negatively correlated with understory plant diversity, as was lack of structural diversity. This study indicates that through afforestation efforts agricultural lands can be restored to productive forests that can harbour nearly one-half of the plant species found in equivalent natural forests within the same geographic region in as little as 50 years. We recommend applying afforestation using indigenous conifer species as a first step towards rehabilitating conifer forests that have been converted to agriculture and subsequently abandoned.


2016 ◽  
Vol 161 ◽  
pp. 556-564 ◽  
Author(s):  
Charles Fant ◽  
C. Adam Schlosser ◽  
Kenneth Strzepek

Author(s):  
Azade Deljouei ◽  
Ehsan Abdi ◽  
Matteo Marcantonio ◽  
Baris Majnounian ◽  
Valerio Amici ◽  
...  

Plant Disease ◽  
2008 ◽  
Vol 92 (6) ◽  
pp. 982-982 ◽  
Author(s):  
T. van Antwerpen ◽  
S. A. McFarlane ◽  
G. F. Buchanan ◽  
D. N. Shepherd ◽  
D. P. Martin ◽  
...  

Prior to the introduction of highly resistant sugarcane varieties, Sugarcane streak virus (SSV) caused serious sugar yield losses in southern Africa. Recently, sugarcane plants with streak symptoms have been identified across South Africa. Unlike the characteristic fine stippling and streaking of SSV, the symptoms resembled the broader, elongated chlorotic lesions commonly observed in wild grasses infected with the related Maize streak virus (MSV). Importantly, these symptoms have been reported on a newly released South African sugarcane cultivar, N44 (resistant to SSV). Following a first report from southern KwaZulu-Natal, South Africa in February 2006, a survey in May 2007 identified numerous plants with identical symptoms in fields of cvs. N44, N27, and N36 across the entire South African sugarcane-growing region. Between 0.04 and 1.6% of the plants in infected fields had streak symptoms. Wild grass species with similar streaking symptoms were observed adjacent to one of these fields. Potted stalks collected from infected N44 plants germinated in a glasshouse exhibited streak symptoms within 10 days. Virus genomes were isolated and sequenced from a symptomatic N44 and Urochloa plantaginea plants collected from one of the surveyed fields (1). Phylogenetic analysis determined that while viruses from both plants closely resembled the South African maize-adapted MSV strain, MSV-A4 (>98.5% genome-wide sequence identity), they were only very distantly related to SSV (~65% identity; MSV-Sasri_S: EU152254; MSV-Sasri_G: EU152255). To our knowledge, this is the first confirmed report of maize-adapted MSV variants in sugarcane. In the 1980s, “MSV strains” were serologically identified in sugarcane plants exhibiting streak symptoms in Reunion and Mauritius, but these were not genetically characterized (2,3). There have been no subsequent reports on the impact of such MSV infections on sugarcane cultivation on these islands. Also, at least five MSV strains have now been described, only one of which, MSV-A, causes significant disease in maize and it is unknown which strain was responsible for sugarcane diseases on these islands in the 1980s (2,3). MSV-A infections could have serious implications for the South African sugar industry. Besides yield losses in infected plants due to stunting and reduced photosynthesis, the virus could be considerably more difficult to control than it is in maize because sugarcane is vegetatively propagated and individual plants remain within fields for years rather than months. Moreover, there is a large MSV-A reservoir in maize and other grasses everywhere sugarcane is grown in southern Africa. References: (1) B. E. Owor et al. J Virol. Methods 140:100, 2007. (2) M. S. Pinner and P. G. Markham. J. Gen. Virol. 71:1635, 1990. (3) M. S. Pinner et al. Plant Pathol. 37:74, 1998.


2021 ◽  
Vol 23 (3) ◽  
pp. 298-308
Author(s):  
P.W. Chirwa ◽  
J.M. Kamwi ◽  
G. Kabia ◽  
L. Makhubele ◽  
W. Sagona ◽  
...  

The objective of the study was to examine the impact of the COVID-19 pandemic on sustainable forest management in southern Africa. The study employed a targeted approach, also referred to as purposive sampling, to select respondents from the various sectors. The results show that COVID-19 had an 80% impact on forest management operations. The COVID-19 pandemic did not have a significant effect on the conversion of land from forest to other land uses. However, there was severe illegal logging and moderate to severe fires. The COVID-19 pandemic also had a severe impact on the agriculture, environment and ecotourism sectors, with nature reserves completely closed. From the forest production perspective, the impact of COVID-19 on production, supply, demand and the price of timber was generally low due to the commercial nature of the forestry sector in South Africa; the largest economy in SADC being classified as an essential sector.


Author(s):  
Ben Yang ◽  
Kathleen R. Balazs ◽  
Bradley J. Butterfield ◽  
Katherine M. Laushman ◽  
Seth M. Munson ◽  
...  

2021 ◽  
Author(s):  
Sabina Abba-Omar ◽  
Francesca Raffaele ◽  
Erika Coppola ◽  
Daniela Jacob ◽  
Claas Teichmann ◽  
...  

<p>The impact of climate change on precipitation over Southern Africa is of particular interest due to its possible devastating societal impacts. To add to this, simulating precipitation is challenging and models tend to show strong biases over this region, especially during the Austral Summer (DJF) months. One of the reasons for this is the mis-representation of the Angolan Low (AL) and its influence on Southern Africa’s Summer precipitation in the models. Therefore, this study aims to explore and compare different models’ ability to capture the AL and its link to precipitation variability as well as consider the impact climate change may have on this link. We also explore how the interaction between ENSO, another important mode of variability for precipitation, and the Angolan Low, impact precipitation, how the models simulate this and whether this could change in the future under climate change. </p><p>We computed the position and strength of the AL in reanalysis data and compared these results to three different model ensembles with varying resolutions. Namely, the CORDEX-CORE ensemble (CCORE), a new phase of CORDEX simulations with higher resolutions (0.22 degrees), the lower resolution (0.44 degrees) CORDEX-phase 1 ensemble (C44) and the CMIP5 models that drive the two RCM ensembles. We also used Self Organizing Maps to group DJF yearly anomaly patterns and identify which combination of ENSO and AL strength scenarios are responsible for particularly wet or dry conditions. Regression analysis was performed to analyze the relationships between precipitation and the AL and ENSO. This analysis was repeated for near (2041-2060) and far (2080-2099) future climate and compared with the present to understand how the strength of the AL, and its connection to precipitation variability and ENSO, changes in the future. </p><p>We found that, in line with previous studies, models with stronger AL tend to produce more rainfall. CCORE tends to simulate a stronger AL than C44 and therefore, higher precipitation biases. However, the regression analysis shows us that CCORE is able to capture the relationship between precipitation and the AL strength variability as well as ENSO better than the other ensembles. We found that generally dry rainfall patterns over Southern Africa are associated with a weak AL and El Nino event whereas wet rainfall patterns occur during a strong AL and La Nina year. While the models are able to capture this, they also tend to show more neutral ENSO conditions associated with these wet and dry patterns which possibly indicates less of a connection between AL strength and ENSO than seen in the observed results. Analysis of the future results indicates that the AL weakens, this is shown across all the ensembles and could be a contributing factor to some of the drying seen. These results have applications in understanding and improving model representation of precipitation over Southern Africa as well as providing some insight into the impact of climate change on precipitation and some of its associated dynamics over this region.</p>


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