<?xml version="1.0" encoding="UTF-8"?><!DOCTYPE article  PUBLIC "-//NLM//DTD Journal Publishing DTD v3.0 20080202//EN" "http://dtd.nlm.nih.gov/publishing/3.0/journalpublishing3.dtd"><article xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink" dtd-version="3.0" xml:lang="en" article-type="research article"><front><journal-meta><journal-id journal-id-type="publisher-id">GEP</journal-id><journal-title-group><journal-title>Journal of Geoscience and Environment Protection</journal-title></journal-title-group><issn pub-type="epub">2327-4336</issn><publisher><publisher-name>Scientific Research Publishing</publisher-name></publisher></journal-meta><article-meta><article-id pub-id-type="doi">10.4236/gep.2015.35013</article-id><article-id pub-id-type="publisher-id">GEP-58345</article-id><article-categories><subj-group subj-group-type="heading"><subject>Articles</subject></subj-group><subj-group subj-group-type="Discipline-v2"><subject>Earth&amp;Environmental Sciences</subject></subj-group></article-categories><title-group><article-title>
 
 
  Perception-Based Analysis (PBA) of Climate Change Impacts on the Forest and Agricultural Ecosystem of Shropshire, United Kingdom
 
</article-title></title-group><contrib-group><contrib contrib-type="author" xlink:type="simple"><name name-style="western"><surname>hukwunonye</surname><given-names>Ezeah</given-names></name><xref ref-type="aff" rid="aff1"><sup>1</sup></xref><xref ref-type="corresp" rid="cor1"><sup>*</sup></xref></contrib><contrib contrib-type="author" xlink:type="simple"><name name-style="western"><surname>Emmah</surname><given-names>Simbabure</given-names></name><xref ref-type="aff" rid="aff1"><sup>1</sup></xref></contrib></contrib-group><aff id="aff1"><addr-line>Faculty of Sciences and Engineering, University of Wolverhampton, City Campus-South, Wolverhampton, UK</addr-line></aff><author-notes><corresp id="cor1">* E-mail:<email>C.Ezeah2@wlv.ac.uk(HE)</email>;</corresp></author-notes><pub-date pub-type="epub"><day>17</day><month>07</month><year>2015</year></pub-date><volume>03</volume><issue>05</issue><fpage>111</fpage><lpage>121</lpage><history><date date-type="received"><day>21</day>	<month>May</month>	<year>2015</year></date><date date-type="rev-recd"><day>accepted</day>	<month>25</month>	<year>July</year>	</date><date date-type="accepted"><day>28</day>	<month>July</month>	<year>2015</year></date></history><permissions><copyright-statement>&#169; Copyright  2014 by authors and Scientific Research Publishing Inc. </copyright-statement><copyright-year>2014</copyright-year><license><license-p>This work is licensed under the Creative Commons Attribution International License (CC BY). http://creativecommons.org/licenses/by/4.0/</license-p></license></permissions><abstract><p>
 
 
  Agriculture and forestry are vital sectors providing services, food and other environmental benefits that could be most affected by the impact of climate change (CC). This study analysed the impact of CC on forestry and agriculture in a typical UK rural environment. The study interrogates this complex question using the Perception Based Analysis (PBA) methodological approach. Data analysis utilized chi square test and one-way analysis of variance (Anova) in comparing the impact of climate change and human factors on forest and agricultural ecosystems, (significance level 
  α = 5%), calculated 
  ρ = 0.36 &gt; 0.05. This non-significant 
  ρ value suggests that the null hypothesis Ho “climate change is responsible for the changes in forest and agricultural ecosystem in the case study area” could be true.
 
</p></abstract><kwd-group><kwd>Climate Change Impact</kwd><kwd> Forest and Agricultural Ecosystem</kwd><kwd> UK Rural Environment</kwd></kwd-group></article-meta></front><body><sec id="s1"><title>1. Introduction</title><p>The contemporary discourse on climate change CC has often been framed from a complex and rather predictive scientific perspective, based mostly on scenario modelling. Studies indicate that rather than bring greater clarity to the subject, such approach often becomes a vehicle of conflict by promoting the beliefs of different sides to the debate as scientific facts [<xref ref-type="bibr" rid="scirp.58345-ref1">1</xref>] . In addition to this, inherent difficulties associated with many environmental problems also sometimes help to undermine the effectiveness of scientific communication because of the mismatch between “usual modes of understanding” and what is needed to grasp the essence of the problem [<xref ref-type="bibr" rid="scirp.58345-ref2">2</xref>] . Both proponents as well as opponents of climate change have been accused of sometimes deliberately misleading the public [<xref ref-type="bibr" rid="scirp.58345-ref3">3</xref>] . Instead of providing the public with objective basis for making rational decisions on issues, science communication have sometimes been found to be either ineffective or even worsen the situation entirely. In contrast to this trend, this investigation attempts an analysis of the CC phenomenon from a public perception perspective.</p><p>There is increasing concern about the variability and impacts of CC on forestry and agricultural production worldwide. These changes have been mostly attributed to anthropogenic influences on the earth’s environment [<xref ref-type="bibr" rid="scirp.58345-ref4">4</xref>] . In particular, IPCC Assessment Report 4 [<xref ref-type="bibr" rid="scirp.58345-ref5">5</xref>] supports the view that climate change will have significant impacts on biodiversity, ecosystems and genetic diversity within species as well as on ecological interactions. DEFRA [<xref ref-type="bibr" rid="scirp.58345-ref6">6</xref>] went further to buttress this point, arguing that while on the one hand CC poses added risks to agriculture due to changes in growing seasons, on the other hand it could present positive outcomes to plants that might adapt to anticipated climatic changes. Furthermore, IPCC Working Group II (Adaptation and Vulnerability) estimates that 20% - 30% of plants and animals species evaluated so far in climate change studies were at risk of extinction following temperature spikes projected to occur towards the end of this century. As a result, it has been predicted that some species may migrate northwards or pole wards to where conditions will be more favourable for their existence. Current research indicates that species failing to adapt may be faced with possible extinction or fragmentation. In certain cases, phenological changes are already evident. It therefore follows that, agriculture and forestry are vital sectors providing services, food and other environmental benefits that could be most affected by climate change. This study analyses the impact of CC on a typical UK rural ecosystem with a view to providing empirical evidence that could underpin future CC policies and programmes.</p><p>To adequately understand and mitigate CC impacts, evidence based research is required particularly in the agricultural sector. Perception-Based Analysis (PBA) has been used as an alternative to more traditional response-based segmentation [<xref ref-type="bibr" rid="scirp.58345-ref7">7</xref>] [<xref ref-type="bibr" rid="scirp.58345-ref8">8</xref>] . Perception based studies on CC impacts on the forest and agricultural sector are currently under reported; it is therefore imperative for a research like this to use as a case study, a typical rural environment such as Shropshire in middle England. Shropshire borders Wales to the west, Cheshire to the north, Staffordshire to the east, Worcestershire to the south east and Herefordshire to the south. Shropshire is divided into North and South with the Shropshire hills being a major land feature at the south western end (see <xref ref-type="fig" rid="fig1">Figure 1</xref>). It is estimated that 86% (approximately 128,147 ha) of Shropshire land use is predominantly for agriculture and permanent grasslands [<xref ref-type="bibr" rid="scirp.58345-ref9">9</xref>] . According to DEFRA Statistics [<xref ref-type="bibr" rid="scirp.58345-ref9">9</xref>] , in 2008 there were 7026 farm holdings in Shropshire covering 274,549 ha. A total of 7624 individuals, equivalent to 70.2% are engaged in some form of agricultural activities either in full or part time capacity. Shropshire gov. [<xref ref-type="bibr" rid="scirp.58345-ref10">10</xref>] elaborates further</p><fig id="fig1"  position="float"><label><xref ref-type="fig" rid="fig1">Figure 1</xref></label><caption><title> Map of the study area</title></caption><graphic mimetype="image"   position="float"  xlink:type="simple"  xlink:href="http://html.scirp.org/file/13-2170033x6.png"/></fig><p>that Shropshire’s economy depends largely on agriculture, rural industries and tourism. According to Shropshire RCC [<xref ref-type="bibr" rid="scirp.58345-ref11">11</xref>] , 43% of Shropshire residents live in rural areas; therefore a disruption in agriculture and forest ecosystems would amount to a significant disruption to their livelihood and economy.</p></sec><sec id="s2"><title>2. Review of Literature</title><p>An ecosystem is a dynamic and complex system of plant, animal, and microorganism communities and the non-living environment interacting with each other as a functional unit [<xref ref-type="bibr" rid="scirp.58345-ref12">12</xref>] - [<xref ref-type="bibr" rid="scirp.58345-ref14">14</xref>] . Climate exerts a dominant control over the natural distribution of species within ecosystems. There is increasing evidence from literature that the distribution, composition, structure and function of ecosystems do respond to changes in temperature, precipitation and increased CO<sub>2</sub> levels in the environment [<xref ref-type="bibr" rid="scirp.58345-ref15">15</xref>] [<xref ref-type="bibr" rid="scirp.58345-ref16">16</xref>] . Evidence from fossil records [<xref ref-type="bibr" rid="scirp.58345-ref17">17</xref>] [<xref ref-type="bibr" rid="scirp.58345-ref18">18</xref>] as well as from more recently observed trends [<xref ref-type="bibr" rid="scirp.58345-ref19">19</xref>] [<xref ref-type="bibr" rid="scirp.58345-ref20">20</xref>] also shows that changing climate has a profound influence on species’ range, expansion and contraction. Although there is relatively limited evidence of current extinctions caused by climate change, studies suggest that CC could surpass habitat destruction as the greatest global threat to biodiversity over the next few decades [<xref ref-type="bibr" rid="scirp.58345-ref21">21</xref>] in [<xref ref-type="bibr" rid="scirp.58345-ref15">15</xref>] . According to [<xref ref-type="bibr" rid="scirp.58345-ref22">22</xref>] , phenology which provides environmental records of leafing, flowering of plants, insect activity (beetles and butterflies) and bird migration are also affected by climate change and global warming [<xref ref-type="bibr" rid="scirp.58345-ref15">15</xref>] .</p><p>Recent estimates project that agricultural activities are contributing between 12% - 14% of global anthropogenic greenhouse gas emissions, not including emissions arising from land clearing [<xref ref-type="bibr" rid="scirp.58345-ref23">23</xref>] . The precise magnitude of CO<sub>2</sub> emissions from land-use change is still very unclear [<xref ref-type="bibr" rid="scirp.58345-ref5">5</xref>] . In essence, agriculture is highly sensitive to climate change and climatic variations. As a result, there are not only differences among regions, but also differences caused by interannual variability of production and disruption of ecosystem services within a single region [<xref ref-type="bibr" rid="scirp.58345-ref24">24</xref>] . Climate change impacts on agricultural production are also associated with impacts on human well-being and welfare. Changes in agricultural systems, driven by socioeconomic changes, greenhouse gas emissions, agricultural policies and other factors, are also affecting natural and managed ecosystems [<xref ref-type="bibr" rid="scirp.58345-ref25">25</xref>] . From the fore going, CC impacts on ecosystems are far reaching, and could be divided into two main groups: biophysical and socio-economic. This research focuses on the biophysical impacts and their consequential effects such as droughts and floods, which could cause low crop yields and increased incidence of pests and diseases.</p><p>Associated with climate change are several factors that affect forest ecosystems, which can act independently or in combination [<xref ref-type="bibr" rid="scirp.58345-ref26">26</xref>] . The changes in timing of seasonal events and migration patterns can result in mismatches between species such as predator prey host relationships hence an imbalance in the ecosystem. A study of 9650 interspecific systems, including pollinators and parasites, suggested that around 6300 species could disappear following the extinction of their associated species [<xref ref-type="bibr" rid="scirp.58345-ref15">15</xref>] [<xref ref-type="bibr" rid="scirp.58345-ref27">27</xref>] . In addition, for many species, the primary impact of climate change may be mediated through effects on synchrony with species’ food and habitat requirements. Climate change is also said to have led to phenological shifts in flowering plants and insect pollinators, causing mismatches between plant and pollinator populations that lead to the extinctions of both the plant and the pollinator with expected consequences on the structure of plant?pollinator networks [<xref ref-type="bibr" rid="scirp.58345-ref15">15</xref>] [<xref ref-type="bibr" rid="scirp.58345-ref27">27</xref>] .</p><p>Bellard et al., [<xref ref-type="bibr" rid="scirp.58345-ref15">15</xref>] predicted alarming scenarios of species extinction due to climate change impact in the near future. Indications are that in Europe, with regards to plant diversity, up to 84% plant species could become extinct while as much as 75% of fish depending on river conditions could be wiped out. The study elaborates further that 52 per cent of amphibians could become extinct and 35% of birds could be susceptible to climate change effects and become extinct. These figures are significant and are a cause for concern. Drier conditions and drought could lead to reduced agricultural and timber yields and could also affect woodland conditions [<xref ref-type="bibr" rid="scirp.58345-ref4">4</xref>] . Briner et al. [<xref ref-type="bibr" rid="scirp.58345-ref28">28</xref>] and Lindner et al. [<xref ref-type="bibr" rid="scirp.58345-ref26">26</xref>] argue that the time spent under drought conditions in most crop growing regions of the world will have drastic consequences on yields and tree growth. While Ray et al., [<xref ref-type="bibr" rid="scirp.58345-ref29">29</xref>] , Lindner et al., [<xref ref-type="bibr" rid="scirp.58345-ref26">26</xref>] , Briner et al., [<xref ref-type="bibr" rid="scirp.58345-ref28">28</xref>] , and the IPCC [<xref ref-type="bibr" rid="scirp.58345-ref4">4</xref>] are unanimous in agreement that drier and warmer summers could heighten the risk of abiotic factors such as wild fires. IPCC [<xref ref-type="bibr" rid="scirp.58345-ref30">30</xref>] goes further to predict increased forest fires as a result of prevailing climatic conditions. This goes to support the position that drought which is exacerbated by climate change could have significant negative impact on forestry and agricultural ecosystem. Fantahun [<xref ref-type="bibr" rid="scirp.58345-ref12">12</xref>] suggests that after wildfires the soil is left without plant cover leaving it susceptible to soil erosion and leaching, rendering it unproductive for agricultural purposes and creating desert like conditions.</p><p>[<xref ref-type="bibr" rid="scirp.58345-ref29">29</xref>] [<xref ref-type="bibr" rid="scirp.58345-ref31">31</xref>] and [<xref ref-type="bibr" rid="scirp.58345-ref32">32</xref>] predict that other species may dominate as some species become dormant or extinct. Increased drought stress could equally induce a shift in forest species composition. [<xref ref-type="bibr" rid="scirp.58345-ref31">31</xref>] and [<xref ref-type="bibr" rid="scirp.58345-ref29">29</xref>] elaborated further on what they call “forest disturbances” such as fires, drought, alien species, insects, pathogen outbreaks and wind storms, agreeing that these will have impacts on species composition and distribution thereby affecting habitat quality and quantity and even cause disruption to ecosystems services [<xref ref-type="bibr" rid="scirp.58345-ref15">15</xref>] . The Fourth Assessment Report, IPCC [<xref ref-type="bibr" rid="scirp.58345-ref5">5</xref>] , predicts that some of the species and insects like butterflies for example will begin to appear in hitherto unusual habitats while others will move northwards to where conditions are favourable for their survival. This could have significant effect on those ecosystems as well. The consequence of this is that more drought resistant species are predicted to become dominant component of the forest in the future. Ray et al. [<xref ref-type="bibr" rid="scirp.58345-ref29">29</xref>] argue that these new woodlands must be resilient to the impact of climate change. IPCC [<xref ref-type="bibr" rid="scirp.58345-ref30">30</xref>] further argues that there will be increased colonization of alien species in Europe, possibly this could be due to new opportunities in the agricultural sector and woodland environment. Ray et al. [<xref ref-type="bibr" rid="scirp.58345-ref29">29</xref>] suggest further that in the future, woodlands could be ideal for carbon sequestration, apart from providing wood fiber for timber products.</p><p>Climatic change is also predicted to impact on biotic factors such as frequency and consequences of pests and disease outbreaks [<xref ref-type="bibr" rid="scirp.58345-ref26">26</xref>] [<xref ref-type="bibr" rid="scirp.58345-ref31">31</xref>] . Ray et al. [<xref ref-type="bibr" rid="scirp.58345-ref29">29</xref>] emphasized on the influence of warmer weather and warmer winter, especially that they could cause a diversity of pests and pathogens. IPCC [<xref ref-type="bibr" rid="scirp.58345-ref5">5</xref>] supports this analogy and predicts that pests especially beetles outbreak will have fatal effects on pine trees population; Dale et al. [<xref ref-type="bibr" rid="scirp.58345-ref31">31</xref>] also agreed with this position while reporting that in their research they found evidence that pine bark beetle disease destroys forests. It has been noted that weeds and pests thrive under warmer and increased temperatures, wetter climates and enhanced CO<sub>2</sub> levels. Under this scenario, the wider range of weeds and pests are likely to move northwards and different weeds will occupy their space. This could cause increase in pollution as more pesticides and fungicides will be required to control the weeds and pests which will in turn harm water courses.</p><p>Bellard et al. [<xref ref-type="bibr" rid="scirp.58345-ref15">15</xref>] stressed the positive aspects of climate change, particularly with regard to increased temperatures and increased CO<sub>2</sub>, pointing out that they could result in an accelerated biomass production. Increased precipitation could also benefit some plants and communities depending on how they will respond to extreme rainfall [<xref ref-type="bibr" rid="scirp.58345-ref15">15</xref>] . In a separate study Bellamy and Hulme [<xref ref-type="bibr" rid="scirp.58345-ref33">33</xref>] discussed people’s perceptions and touched on the emotional issues as well as cultural perceptions pertaining to climate change. Bellamy and Hulme [<xref ref-type="bibr" rid="scirp.58345-ref33">33</xref>] used terms such as “catastrophic” and “beyond the tipping point”, to describe events and scenarios around climate change. Such terms evoke fear in people regarding climate change. Without doubt, there will be noticeable changes both in woodland as well as in forest ecosystems [<xref ref-type="bibr" rid="scirp.58345-ref31">31</xref>] , though the extent of such changes may vary from place to place. Invariably, woodland recreation may be boosted as people seek shelter from the increased temperatures.</p></sec><sec id="s3"><title>3. Methodology</title><p>This research utilizes a multi-pronged PBA methodological approach incorporating, desk top study, participant observation, key informant interview and questionnaire survey. At the desktop study stage, mostly secondary data were collected; in the course of reviewing of current literature on the subject. Thereafter the study area was divided into four zones, Shrewsbury, Telford, Shifnal and Bridgnorth. Following the desktop survey, the authors undertook a number of visits to the site to observe the case study area and interview selected key informants from Shropshire Council, National Farmers Union, and Shrewsbury Botanical Gardens. Finally, a survey questionnaire consisting of 13 questions was designed. The survey focused on ascertaining respondents’ perception on the relative impact of climate change on forest and agricultural ecosystems in the case study area. To reduce the time and cost of questionnaire administration, an online format of the questionnaire was adapted using the Survey Monkey sampling software. The online questionnaires were thereafter emailed to 250 individuals who live and work in Bridgnorth, Telford, Shrewsbury and Shifnal during the summer of 2014, using the stratified random sampling approach. <xref ref-type="fig" rid="fig2">Figure 2</xref> is an indicative map with questionnaire sampling and interview areas inset. A total of 100 responses were returned equivalent to about 40% response rate. This rate is well above the norm (20% - 30%) for postal questionnaires [<xref ref-type="bibr" rid="scirp.58345-ref34">34</xref>] - [<xref ref-type="bibr" rid="scirp.58345-ref36">36</xref>] . Most of the data collected were ordinal in nature, although there were some nominal data as well. Data analysis was carried out using the Statistical Programme for Social Sciences (SPSS) for Windows 17.0.</p>Statistical Data Analysis<p>Define Statistical analysis utilized chi square test and analysis of variance (ANOVA) to analyse some of the numerical data. A null hypothesis was propounded that “climate change is responsible for the changes in forest and agricultural ecosystem in the case study area”. Questions 3, 5, 6, 7 and 11 from the questionnaire were</p><fig id="fig2"  position="float"><label><xref ref-type="fig" rid="fig2">Figure 2</xref></label><caption><title> Key interview areas [<inline-formula><inline-graphic xlink:href="http://html.scirp.org/file/13-2170033x8.png" xlink:type="simple"/></inline-formula>] andpaper based questionnaire distribution areas [<inline-formula><inline-graphic xlink:href="http://html.scirp.org/file/13-2170033x9.png" xlink:type="simple"/></inline-formula>]</title></caption><graphic mimetype="image"   position="float"  xlink:type="simple"  xlink:href="http://html.scirp.org/file/13-2170033x7.png"/></fig><p>subjected to chi square test, represented by the formula:</p><disp-formula id="scirp.58345-formula195"><label>(1)</label><graphic position="anchor" xlink:href="http://html.scirp.org/file/13-2170033x10.png"  xlink:type="simple"/></disp-formula><p>where:</p><p>o = Observed Frequency in each category,</p><p>e = Expected Frequency in the corresponding category,</p><p>d<sub>o</sub> = degree of freedom (n − 1),</p><p>n = 100,</p><p>X<sup>2</sup> = Chi Square.</p><p>In addition, we used one-way comparison analyses of variance (Anova) in predicting any variations in CC indicators such as rainfall and temperature over a defined period.</p></sec><sec id="s4"><title>4. Results</title><p><xref ref-type="table" rid="table1">Table 1</xref> is an overview of respondents’ occupation groups. <xref ref-type="table" rid="table2">Table 2</xref> is an outline of respondents’ perception on the causes and impacts of CC. One way analyses of variance (Anova) was used in comparing climate change</p><table-wrap id="table1" ><label><xref ref-type="table" rid="table1">Table 1</xref></label><caption><title> Respondents’ occupation group</title></caption><table><tbody><thead><tr><th align="center" valign="middle"  rowspan="2"  >Response</th><th align="center" valign="middle"  colspan="4"  >Occupation Group</th><th align="center" valign="middle" ></th></tr></thead><tr><td align="center" valign="middle" >C</td><td align="center" valign="middle" >M</td><td align="center" valign="middle" >T</td><td align="center" valign="middle" >O</td><td align="center" valign="middle" >Total</td></tr><tr><td align="center" valign="middle" >Agree</td><td align="center" valign="middle" >14</td><td align="center" valign="middle" >1</td><td align="center" valign="middle" >2</td><td align="center" valign="middle" >12</td><td align="center" valign="middle" >29</td></tr><tr><td align="center" valign="middle" >Neutral</td><td align="center" valign="middle" >6</td><td align="center" valign="middle" >3</td><td align="center" valign="middle" >4</td><td align="center" valign="middle" >5</td><td align="center" valign="middle" >18</td></tr><tr><td align="center" valign="middle" >Disagree</td><td align="center" valign="middle" >6</td><td align="center" valign="middle" >10</td><td align="center" valign="middle" >12</td><td align="center" valign="middle" >16</td><td align="center" valign="middle" >44</td></tr><tr><td align="center" valign="middle" >Total</td><td align="center" valign="middle" >26</td><td align="center" valign="middle" >14</td><td align="center" valign="middle" >18</td><td align="center" valign="middle" >33</td><td align="center" valign="middle" >91</td></tr></tbody></table></table-wrap><p>C = Carers, M = Managers, T = Technical, O = Others.</p><table-wrap id="table2" ><label><xref ref-type="table" rid="table2">Table 2</xref></label><caption><title> Causes and impact of climate change</title></caption><table><tbody><thead><tr><th align="center" valign="middle"  colspan="8"  >Percentage of Respondents</th></tr></thead><tr><td align="center" valign="middle" >Human factors are causing climate change</td><td align="center" valign="middle" >3.30</td><td align="center" valign="middle" >3.30</td><td align="center" valign="middle" >24.10</td><td align="center" valign="middle" >52.70</td><td align="center" valign="middle" >16.40</td><td align="center" valign="middle" >100</td><td align="center" valign="middle" >3.76</td></tr><tr><td align="center" valign="middle" >Climate change has had significant impact on businesses in Shropshire</td><td align="center" valign="middle" >3.26</td><td align="center" valign="middle" >5.43</td><td align="center" valign="middle" >52.17</td><td align="center" valign="middle" >35.87</td><td align="center" valign="middle" >3.26</td><td align="center" valign="middle" >100</td><td align="center" valign="middle" >3.3</td></tr><tr><td align="center" valign="middle" ></td><td align="center" valign="middle" >Strongly disagree</td><td align="center" valign="middle" >Disagree</td><td align="center" valign="middle" >Neither agree nor disagree</td><td align="center" valign="middle" >Agree</td><td align="center" valign="middle" >Strongly agree</td><td align="center" valign="middle" >Total</td><td align="center" valign="middle" >Average rating</td></tr></tbody></table></table-wrap><p>and human factors. The significance level α = 5%, calculated ρ = 0.36 &gt; 0.05. <xref ref-type="table" rid="table3">Table 3</xref> represents results for test of homogeneitythat the population variances are equal. Based on Anova results, the null hypothesis H<sub>o</sub> that “climate change is responsible for changes in forest and agricultural ecosystem in the case study area” is accepted.</p></sec><sec id="s5"><title>5. Discussion</title><p>Primary data were collected using the stratified random sampling technique across four districts of Shropshire and Telford councils: Bridgnorth, Telford, Shrewsbury and Shifnal. Bellamy and Hulme [<xref ref-type="bibr" rid="scirp.58345-ref33">33</xref>] have previously studied public perceptions on CC and noted that the subject was often associated with a culture of fear, best reflected by some of the words used to describe scenarios and events surrounding climate change, such as “catastrophic” and “point of no return”. This investigation was designed to avoid such elements of fear and subjectivity in analyzing people’s perception of climate change. Like Bellamy and Hulme [<xref ref-type="bibr" rid="scirp.58345-ref33">33</xref>] , the research employed both qualitative and quantitative approaches but differed slightly from earlier PBA studies because it did not touch on emotions and the myth or the abruptness of climate change.</p><sec id="s5_1"><title>5.1. Relative Impact of Climate Change on Ecosystems</title><p>In response to questions 5 and 6 designed to find out whether “Climate change is causing floods, rainfall variability and warmer temperatures” 63.33% of respondents agreed while 13.53% strongly agreed (see <xref ref-type="fig" rid="fig3">Figure 3</xref> and <xref ref-type="fig" rid="fig4">Figure 4</xref>). It is possible that there could be other factors responsible for the perceived impacts (see <xref ref-type="table" rid="table2">Table 2</xref>), for instance respondents could have been influenced by recent memories of the floods that inundated Shropshire’s Abbey Foregate road and other places in 2014. Elaborating further on this theme, National Farmers Union (NFU) in Cork [<xref ref-type="bibr" rid="scirp.58345-ref37">37</xref>] suggested that Shropshire “has periodically been affected by floods that threaten livestock; in particular, farmers around River Severn and Shrewsbury have been the most impacted with entire farmlands sometimes underwater, this was the case following late arrival of spring in 2013. While Blessington and Shields [<xref ref-type="bibr" rid="scirp.58345-ref38">38</xref>] were of the opinion that it is too early to conclude that the changes in the ecosystems were solely due to CC, IPCC [<xref ref-type="bibr" rid="scirp.58345-ref5">5</xref>] suggests that CC could cause significant changes in ecosystem composition if increases in global average temperature exceed 1.5˚C - 2.5˚C in which case, they predict that as much as 20 - 30 percent of species will be at risk of extinction.</p><p>Drier conditions and drought are other key impacts of CC that could lead to reduced agricultural and timber yields and also affect woodland conditions [<xref ref-type="bibr" rid="scirp.58345-ref4">4</xref>] . Briner et al. [<xref ref-type="bibr" rid="scirp.58345-ref28">28</xref>] and Lindner et al. [<xref ref-type="bibr" rid="scirp.58345-ref26">26</xref>] argue that the time spent under drought conditions in most crop growing regions of the world will have drastic consequences on yields</p><fig id="fig3"  position="float"><label><xref ref-type="fig" rid="fig3">Figure 3</xref></label><caption><title> On a sliding scale where 1 is minimal and 5 is maximum impact, do you agree that there have been changes in the forest and agricultural eco- systems in rural Shropshire</title></caption><graphic mimetype="image"   position="float"  xlink:type="simple"  xlink:href="http://html.scirp.org/file/13-2170033x11.png"/></fig><fig id="fig4"  position="float"><label><xref ref-type="fig" rid="fig4">Figure 4</xref></label><caption><title> On a sliding scale where 1 is minimal and 5 is maximum impact, do you agree that the changes in the forest and agricultural ecosystems in rural Shropshire can be ascribed mainly to climate change</title></caption><graphic mimetype="image"   position="float"  xlink:type="simple"  xlink:href="http://html.scirp.org/file/13-2170033x12.png"/></fig><table-wrap id="table3" ><label><xref ref-type="table" rid="table3">Table 3</xref></label><caption><title> Test of Homogeneity of variances</title></caption><table><tbody><thead><tr><th align="center" valign="middle" ></th><th align="center" valign="middle" >Levene Statistic</th><th align="center" valign="middle" >df 1</th><th align="center" valign="middle" >df 2</th><th align="center" valign="middle" >Sig.</th></tr></thead><tr><td align="center" valign="middle" >Climate change</td><td align="center" valign="middle" >0.653</td><td align="center" valign="middle" >5</td><td align="center" valign="middle" >94</td><td align="center" valign="middle" >0.660</td></tr><tr><td align="center" valign="middle" >Human factors</td><td align="center" valign="middle" >4.733</td><td align="center" valign="middle" >5</td><td align="center" valign="middle" >93</td><td align="center" valign="middle" >0.001</td></tr></tbody></table></table-wrap><p>and tree growth. While Ray et al. [<xref ref-type="bibr" rid="scirp.58345-ref29">29</xref>] , Lindner et al., [<xref ref-type="bibr" rid="scirp.58345-ref26">26</xref>] , Briner et al. [<xref ref-type="bibr" rid="scirp.58345-ref28">28</xref>] , and the IPCC [<xref ref-type="bibr" rid="scirp.58345-ref4">4</xref>] suggest that drier and warmer summers will heighten the risk of abiotic factors such as wild fire; IPCC [<xref ref-type="bibr" rid="scirp.58345-ref30">30</xref>] and Herbeck [<xref ref-type="bibr" rid="scirp.58345-ref39">39</xref>] on the other hand predict increased burnt forest areas in the near future. There appears to be a convergence of opinion that drought, which evidence indicates is exacerbated by climate change, will continue to have negative impacts on forest and agricultural ecosystem, particularly in rural environments. Fantahun [<xref ref-type="bibr" rid="scirp.58345-ref12">12</xref>] went further to point out that after wildfire incidents, the soil is often left bare and becomes more susceptible to soil erosion and leaching. This renders areas of farmlands unproductive for agricultural purposes and creates desert like conditions.</p><p>Interview results from this investigation provided particular insight on the fate of a number of plant species such as sycamore tree in rural Shropshire. Most respondents agreed with Blessington and Shield [<xref ref-type="bibr" rid="scirp.58345-ref38">38</xref>] on the reason why sycamore trees were doing well in Shropshire and pointed out that Sycamore trees were much more adaptable than other plant species. This is possibly due to their capacity to tolerate significant variations in weather conditions, for instance soil salinity and acidity (pH). It has also been suggested that the sycamore tree is capable of thriving under increased temperatures and flooding [<xref ref-type="bibr" rid="scirp.58345-ref5">5</xref>] as well as heavy precipitation [<xref ref-type="bibr" rid="scirp.58345-ref40">40</xref>] [<xref ref-type="bibr" rid="scirp.58345-ref41">41</xref>] . FAO [<xref ref-type="bibr" rid="scirp.58345-ref42">42</xref>] agreed with the notion that CC could provide opportunities for certain plants species to thrive due to high CO<sub>2</sub> levels and lengthening growing season during the year.</p></sec><sec id="s5_2"><title>5.2. Livestock</title><p>Predictably, it is not only plant species that are impacted on by CC but also livestock. It has been reported that CC has both direct and indirect impact on livestock productivity through changes on the availability of fodder and pastures [<xref ref-type="bibr" rid="scirp.58345-ref43">43</xref>] . IPCC [<xref ref-type="bibr" rid="scirp.58345-ref30">30</xref>] and National Farmers Union [<xref ref-type="bibr" rid="scirp.58345-ref37">37</xref>] elaborated further on the likely impact of floods on livestock in rural areas such as Shropshire, particularly through disease infestation on pastoral herds. A recent global assessment found out that climate change could alter livestock numbers at the “local breed” level [<xref ref-type="bibr" rid="scirp.58345-ref44">44</xref>] . Herbeck [<xref ref-type="bibr" rid="scirp.58345-ref39">39</xref>] reported that in most regions of the world local breeds make up two thirds of all breeds, equivalent to 5067 out of a total of 7600 breeds recorded by FAO. FAO [<xref ref-type="bibr" rid="scirp.58345-ref44">44</xref>] predicts the possible extinction of local livestock breeds in the near future while pointing out that around 1500 breeds have already become extinct in the last 15 years. Though results from the this research could not validate findings in the FAO reports, IPCC [<xref ref-type="bibr" rid="scirp.58345-ref30">30</xref>] however agrees that beef production is likely to decline and sheep and goat production increase in the case study area, possibly as a result of changes in growing conditions. Large-scale commercial beef cattle farmers are most vulnerable to climate change, particularly since they are less likely to have diversified. Shropshire has good numbers of sheep but this research could not provide evidence to indicate a decline of beef cattle in the area as a result of CC impact.</p></sec><sec id="s5_3"><title>5.3. Fish</title><p>A separate species study cited by Bellard et al. [<xref ref-type="bibr" rid="scirp.58345-ref15">15</xref>] predicted alarming scenarios of species extinction due to climate change impact. In Europe in particular, estimates indicate that up to 75% of fish population could become extinct, depending on river habitat conditions and severity of CC impact. The study also indicates that 52% amphibians and 35% of birds could be susceptible to climate change adverse impacts and become extinct. These figures are significant and are a cause for concern. This research did not generate any evidence to back the position of literature on species extinction but public opinion seems to point to the fact that species are declining in rural Shropshire [<xref ref-type="bibr" rid="scirp.58345-ref38">38</xref>] . It has been further argued that CC impacts, such as warming of oceans, rivers and lakes and changes in precipitation, water salinity and ocean acidity as well as the increases in extreme weather events, will increase uncertainties in the supply of fish from capture fisheries and aquaculture [<xref ref-type="bibr" rid="scirp.58345-ref44">44</xref>] . Severe weather events could also upset the balance of supply [<xref ref-type="bibr" rid="scirp.58345-ref30">30</xref>] . Results from this investigation agree that CC will impact on fish numbers, production and jobs. On the other hand, FAO [<xref ref-type="bibr" rid="scirp.58345-ref42">42</xref>] agrees that fish numbers will be affected but argue that it would be due to water scarcity as there will be competition for water usage.</p></sec><sec id="s5_4"><title>5.4. Infrastructure</title><p>Cork [<xref ref-type="bibr" rid="scirp.58345-ref37">37</xref>] reported that farm sheds where broken down when Shropshire was hit by extreme weather in 2013. This is similar to the situation described by [<xref ref-type="bibr" rid="scirp.58345-ref5">5</xref>] and [<xref ref-type="bibr" rid="scirp.58345-ref30">30</xref>] where it was reported that extreme weather events caused by CC will affect food security by damaging infrastructure for food supply. Post-harvest aspects of agriculture i.e. on-farm storage and commercial activities, handling and transport, will also be affected by changes in temperature, rainfall, humidity, and by other weather dependant factors. As a result, a significant numbers of adaptation projects have been reported by literature. The IPCC [<xref ref-type="bibr" rid="scirp.58345-ref5">5</xref>] and Herbeck [<xref ref-type="bibr" rid="scirp.58345-ref39">39</xref>] are of the opinion that biodiversity of food crops might suffer from repeated extreme weather events and monoculture crops may not be able to adapt to repeated flooding [<xref ref-type="bibr" rid="scirp.58345-ref5">5</xref>] [<xref ref-type="bibr" rid="scirp.58345-ref37">37</xref>] [<xref ref-type="bibr" rid="scirp.58345-ref40">40</xref>] [<xref ref-type="bibr" rid="scirp.58345-ref45">45</xref>] or drought [<xref ref-type="bibr" rid="scirp.58345-ref4">4</xref>] [<xref ref-type="bibr" rid="scirp.58345-ref26">26</xref>] [<xref ref-type="bibr" rid="scirp.58345-ref28">28</xref>] [<xref ref-type="bibr" rid="scirp.58345-ref41">41</xref>] .</p></sec><sec id="s5_5"><title>5.5. Business</title><p>Evaluating the results from question No. 11, “Climate has had significant impact on businesses in Shropshire” (<xref ref-type="table" rid="table2">Table 2</xref>), 36% of respondents agreed that climate change is having an impact on businesses in rural Shropshire and 52% were neutral. The rationale behind the high proportion of neutral answer is unclear. The UK derives more than 70 percent of its timber imports from EU27. In addition, about 18 percent is supplied domestically [<xref ref-type="bibr" rid="scirp.58345-ref46">46</xref>] . The IPCC [<xref ref-type="bibr" rid="scirp.58345-ref30">30</xref>] argues that, “Change in economic values will impact rural communities with the linkages between biodiversity, tourism and rural livelihoods and rural landscapes being an established one both for developing and developed countries”. From the personal observation of the authors, there appears to be noticeable changes in woodland recreation [<xref ref-type="bibr" rid="scirp.58345-ref31">31</xref>] . Business may also be boosted by “environmental tourism” as well as by people seeking shelter from the increased temperatures and other adverse CC impacts [<xref ref-type="bibr" rid="scirp.58345-ref46">46</xref>] .</p></sec><sec id="s5_6"><title>5.6. Mitigation and Adaptation</title><p>IPCC [<xref ref-type="bibr" rid="scirp.58345-ref30">30</xref>] and Allen et al. [<xref ref-type="bibr" rid="scirp.58345-ref47">47</xref>] reported significant increases in the number of planned adaptation responses at the local level in rural and urban communities. Local governments play a central role in addressing the challenges of adaptation planning and implementation [<xref ref-type="bibr" rid="scirp.58345-ref30">30</xref>] [<xref ref-type="bibr" rid="scirp.58345-ref45">45</xref>] . On the other hand, a number of scholars have stressed the important role partnerships between public and private sectors could play towards CC adaptation and mitigation. In addition, it has been stated that social networks can influence vulnerability in complex ways [<xref ref-type="bibr" rid="scirp.58345-ref48">48</xref>] . Well networked neighborhoods have been shown to respond better in emergency situations and social isolation can increase vulnerability. A study in Sweden found out that limited co-operation between local sector organizations, lack of local co-ordination, and an absence of methods and traditions to build institutional knowledge, present barriers to managing vulnerability [<xref ref-type="bibr" rid="scirp.58345-ref30">30</xref>] . In addition, the study also found out that communication is vital for mitigation and adaptation to work effectively.</p><p>It might be possible for rural people in some cases to adapt to climate change by using their own knowledge, resources and networks [<xref ref-type="bibr" rid="scirp.58345-ref30">30</xref>] . In other cases governments and other outside actors will have to assist rural people, or plan and execute adaptation on a scale that individual rural households and communities cannot. Brisley et al. [<xref ref-type="bibr" rid="scirp.58345-ref49">49</xref>] and Laukkonen et al. [<xref ref-type="bibr" rid="scirp.58345-ref50">50</xref>] argue that most local authorities do not consider adequately the vulnerable population of the community with regard to adaptation to the impact. Examples of rural adaptations observed during this investigation includes modifying farming and fishing practices, introducing new species, varieties and production techniques, managing water in different ways, diversification of livelihoods, modifying infrastructure, and using or establishing risk sharing mechanisms, both formal and informal. Adaptation also includes changes in institutional and governance practices [<xref ref-type="bibr" rid="scirp.58345-ref30">30</xref>] .</p></sec></sec><sec id="s6"><title>6. Conclusion</title><p>Evidence indicates that climate change could cause significant changes in ecosystem composition if increases in global average temperature continue unabated. As much as 30 percent of species in forest and agricultural ecosystems could be at risk of extinction. Apart from CC other factors such as land development practices, government policies as well as unsustainable agricultural practices are also contributory in causing fragmentation and extinction of species. Results from this study indicate that climate change will bring increased frequency and severity of extreme weather events to Shropshire region. As a result, increased resilience and adaptation to these climatic threats is urgently required at local (Shropshire), regional and national levels. As in other UK counties, Shropshire has recently taken a proactive step by developing a Climate Change Strategy but now faces additional challenges associated with implementation.</p></sec><sec id="s7"><title>Cite this paper</title><p>ChukwunonyeEzeah,EmmahSimbabure, (2015) Perception-Based Analysis (PBA) of Climate Change Impacts on the Forest and Agricultural Ecosystem of Shropshire, United Kingdom. Journal of Geoscience and Environment Protection,03,111-121. doi: 10.4236/gep.2015.35013</p></sec><sec id="s8"><title>NOTES</title></sec></body><back><ref-list><title>References</title><ref id="scirp.58345-ref1"><label>1</label><mixed-citation publication-type="other" xlink:type="simple">Hoffman, A.J. (2011) Talking past Each Other? Cultural Framing of Skeptical and Convinced Logics in the Climate Change Debate. Organization and Environment, 24, 3-33. http://dx.doi.org/10.1177/1086026611404336</mixed-citation></ref><ref id="scirp.58345-ref2"><label>2</label><mixed-citation publication-type="other" xlink:type="simple">Weber, E.U. and Stern, P.C. (2011) Public Understanding of Climate Change in the United States. American Psychologist, 66, 315-328. http://dx.doi.org/10.1037/a0023253</mixed-citation></ref><ref id="scirp.58345-ref3"><label>3</label><mixed-citation publication-type="other" xlink:type="simple">Oreskes, N. and Conway, E.M. 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